Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-25T19:10:20.834Z Has data issue: false hasContentIssue false

The Attributional–Counterfactual Theory of Need: Integrating Theories to Predict Need Norm Use

Published online by Cambridge University Press:  08 April 2021

Joseph T. Liu
Affiliation:
Florida Gulf Coast University
Maria J. Mendez
Affiliation:
California State University, Chico
Rights & Permissions [Opens in a new window]

Abstract

The justice literature has coalesced around the notion that actors (e.g., supervisors) tend to utilize the norm of equity for resource allocation decisions because it is generally considered most fair when employees who contribute more to the organization receive more resources. Yet, actors might sometimes utilize a need norm to allocate resources to those most in need. Studies that have addressed need-based resource allocations have assumed a relatively straightforward conceptualization of need. However, research from related areas suggests that multiple characteristics of the need itself could trigger actors’ use of a need norm to allocate resources. We advance a theoretical framework that outlines various need characteristics that drive actors’ use of a need norm. The framework draws on the processes outlined in attribution theory and integrates those with the content domains addressed in fairness theory. A discussion of the implications for justice, attribution, and fairness theory research follows.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the Society for Business Ethics

Fairness concerns seem to dominate today’s social and organizational landscape. Hot button issues like affirmative action (Son Hing, Bobocel, & Zanna, Reference Son Hing, Bobocel and Zanna2002) have proponents advocating that a fair distribution of resources should be based on recipients’ need and opponents who argue that it should be based on recipients’ contribution and achievement instead. In many ways, these controversies beg the broader question of how limited resources ought to be allocated in organizations and fall under the purview of distributive justice, or the appropriateness of outcomes in resource allocation decisions (Adams, Reference Adams and Berkowitz1965; Colquitt, Reference Colquitt2001). Distributive justice is evaluated in light of allocation norms that define whether distributions are perceived as fair, such as equity (based on individuals’ dissimilar contributions), equality (all individuals receive the same resources), and need (based on individuals’ dissimilar needs; Lamm & Schwinger, Reference Lamm and Schwinger1980; Leventhal, Reference Leventhal, Berkowitz and Walster1976a). To date, the emphasis on equity is so prevalent that it is almost synonymous with distributive justice (cf. Colquitt, Reference Colquitt2001) and is recognized by scholars as the “default” allocation norm evoked by individuals when they assess the fairness of resource allocation decision outcomes (Törnblom & Kazemi, Reference Törnblom, Kazemi, Cropanzano and Ambrose2015).

A “need refers to any potential or actual deprivation of a required or desired resource” (Schwartz, Reference Schwartz1975: 116). Thus far, the justice literature has been criticized as lacking research on needs (Rupp, Shapiro, Folger, Skarlicki, & Shao, Reference Rupp, Shapiro, Folger, Skarlicki and Shao2017), which have been described as being “lost in the shuffle” of fairness research (Baer, Frank, Matta, Luciano, & Wellman, Reference Baer, Frank, Matta, Luciano and Wellman2020: 3). Moreover, very few studies have analyzed the characteristics of a need and their potential impact on the use of the need norm as a basis for resource allocation. Beyond that, none have forwarded a framework for organizing and understanding the theoretical content and interrelatedness of these need characteristics. This represents a significant gap in the literature because all needs are not created equal. For example, needs might vary in their urgency or in the extent to which they could have been prevented (Weiner, Reference Weiner, Van Lange, Kruglanski and Higgins2012). This is meaningful because the various characteristics and circumstances surrounding a recipient’s need might differentially elicit the use of a need norm by actors—individuals who make resource allocation decisions (e.g., supervisors). In the present context of need, there is no theoretical framework for outlining, organizing, and understanding the characteristics of recipients’ need as it relates to eliciting actors’ use of a need norm to distribute resources.

To fill this gap, we developed the attributional–counterfactual theory of need (herein referred to as ACT; see Figure 1) by integrating two supplementary theories: fairness theory, which outlines the cognitions used by individuals to judge the fairness of actions (Folger & Cropanzano, Reference Folger, Cropanzano and Greenberg2001), and attribution theory, which describes the processes underlying causal explanations for events (Weiner, Reference Weiner2006). Combining these two theories, ACT examines the characteristics of a need through the lens of the three counterfactual cognitions proposed in fairness theory (i.e., would, could, and should counterfactuals) and arranges them in a temporal sequence informed by attribution theory. Finally, ACT positions sympathy (a central process in attribution theory; Weiner, Reference Weiner2006) as an affect-based mechanism through which a counterfactual, cognitive analysis affects actors’ use of a need norm to allocate resources.

Figure 1: The Attributional–Counterfactual Theory of Need (ACT)

This article offers three important contributions. First, ACT supplements the extant justice literature that has predominantly emphasized the equity norm (Törnblom & Kazemi, Reference Törnblom, Kazemi, Cropanzano and Ambrose2015) by explaining the use of need allocation norms based on a need’s characteristics. In doing so, this theory integrates various need characteristics that have been addressed in piecemeal into a comprehensive theoretically driven framework that elucidates the content, nature, interrelatedness, and consequences of need characteristics.

Second, our integration of attribution theory and fairness theory results in the mutual advancement of both theories. Attribution theory provides a theoretical foundation for identifying specific need characteristics that predict counterfactual thinking within the three broad domains outlined in fairness theory (i.e., well-being, conduct, and principles). Moreover, while fairness theory’s cognitive focus does acknowledge the likelihood of general affective responses to counterfactuals (Cropanzano, Weiss, Suckow, & Grandey, Reference Cropanzano, Weiss, Suckow, Grandey, Ashkanasy, Härtel and Zerbe2000), attribution theory (Weiner, Reference Weiner2006) identifies sympathy as the specific affective mediational process that might serve as the link between counterfactual thinking and behavioral consequences (e.g., supervisors’ use of a need norm to allocate resources). This synthesis linking sympathy to an actor’s use of a need norm represents a contribution to fairness theory given that “neither fairness theory nor deonance theory is explicit about the behaviors that might be spontaneously triggered by moral emotions” (Colquitt & Zipay, Reference Colquitt and Zipay2015: 88) and is especially important in light of the impact affect plays in justice enactment (Scott, Colquitt, & Paddock, Reference Scott, Colquitt and Paddock2009; Scott, Garza, Conlon, & Kim, Reference Scott, Garza, Conlon and Kim2014). In addition, previous researchers have noted that the temporal ordering of the three fairness theory counterfactuals is somewhat arbitrary and follows no predictable sequence, depending instead on the circumstances (Folger & Cropanzano, Reference Folger and Cropanzano1998). Yet the processes outlined in attribution theory provide a theoretical basis for explicating a predominant temporal ordering. Similarly, an integration of fairness theory with attribution theory also provides some important insight into the attribution process. Given that Weiner’s (Reference Weiner1985a) theory was developed in the education setting, it is fairly silent on the organizational factors that might influence the attribution and decision-making process. In contrast, fairness theory (Folger & Cropanzano, Reference Folger, Cropanzano and Greenberg2001) is better positioned to address potential moderators stemming from the organizational context because it was originally developed, and has been primarily examined, in the context of organizational decision-making.

Third, whereas the actor (and his or her past decisions) has been the target of the counterfactual judgment process outlined in fairness theory (Folger & Cropanzano, Reference Folger, Cropanzano and Greenberg2001), the present model places the recipient’s need as the target of counterfactual thinking. Specifically, rather than focusing on a recipient’s judgment of an actor’s decision ex post facto, ACT shifts the focus of counterfactuals to an actor’s judgment of a recipient’s need characteristics that could induce an actor’s use of the need norm. This allows for an understanding of what causes an actor to make this decision in the first place. Besides answering calls to understand what causes supervisors to act fairly (Scott et al., Reference Scott, Garza, Conlon and Kim2014), this theoretical perspective reveals novel predictors not previously addressed in research. These predictors, which focus on the recipient and his or her need, might provide more actionable guidance to needy recipients (e.g., persons with disabilities, women who are pregnant) specifically as it relates to framing and managing perceptions of actors who are in positions of power and charged with allocating scarce resources. That is, knowing what need characteristics make an actor “tick” will allow recipients to convey and communicate their needs in a way most likely to induce an actor’s use of the need norm.

A REVIEW OF FAIRNESS THEORY AND ATTRIBUTION THEORY

Fairness Theory

Fairness theory posits that fairness judgments flow from assessments of an authority figure’s accountability. Assessments of accountability, in turn, result from the consideration of three counterfactuals, which are mental simulations of possible alternatives that are, quite literally, contrary to the facts (Folger & Cropanzano, Reference Folger, Cropanzano and Greenberg2001). Counterfactuals are a form of cognitive judgment wherein a decision is unfair to the extent that three hypothetical questions are answered in the affirmative (Colquitt, Greenberg, & Zapata-Phelan, Reference Colquitt, Greenberg, Zapata-Phelan, Greenberg and Colquitt2005: 38):

  1. 1. Would counterfactual: “Would I have been better off if a different outcome or procedure had occurred? In other words, have I experienced some injury?”

  2. 2. Could counterfactual: “Could the authority have behaved differently? In other words, were there other feasible courses of action?”

  3. 3. Should counterfactual: “Should the authority have behaved differently? In other words, were moral and ethical standards violated?”

For instance, an employee is likely to decide that a written reprimand is unfair because it will cost him a salary increase that he was expecting, his supervisor could have talked to him and pursued an alternative resolution before applying this punishment, and such a severe punishment was inappropriate for the offense. Collectively, these counterfactuals (known as the would, could, and should counterfactuals) suggest that judgments of fairness are driven by individuals’ concerns in three primary domains: states of well-being (for would counterfactuals), individual conduct (for could counterfactuals), and moral or ethical principles (for should counterfactuals; Colquitt et al., Reference Colquitt, Greenberg, Zapata-Phelan, Greenberg and Colquitt2005).

Despite the wealth of studies conducted on fairness theory, several gaps remain in the literature. First, the extant justice literature has predominantly focused on applying counterfactuals to an actor’s decisions to assess his or her fairness after the decision has already been made (e.g., Nicklin, Greenbaum, McNall, Folger, & Williams, Reference Nicklin, Greenbaum, McNall, Folger and Williams2011). This ignores other factors pertaining to the recipient that can affect an actor’s decisions and thus fails to acknowledge the possibility of counterfactuals performed by the actor while making an allocation decision. In addition, the causal ordering of fairness theory’s counterfactuals has been deemed arbitrary, with no predictable or predominant sequence of would, could, or should counterfactuals (Folger & Cropanzano, Reference Folger and Cropanzano1998). Specifically, Folger and Cropanzano state that “the Would, Could, and Should factors do not occur in any particular order. . . . Sometimes accountability is determined prior to knowledge of impact. . . . Alternatively, damage to company property might be evident before the perpetrator is discovered” (181). Furthermore, even though they can be justified theoretically, fairness theory lacks any mention of mediators. Specifically, it is currently unclear what intervening processes (and perhaps moderators of these processes) lead counterfactuals to eventually impact behaviors and decisions. Finally, fairness theory’s focus on cognition (in the form of counterfactual thinking) was intended as a bridge between the justice and emotion literatures (Cropanzano et al., Reference Cropanzano, Weiss, Suckow, Grandey, Ashkanasy, Härtel and Zerbe2000), yet the specific emotion(s) relevant to the use of various distributive justice allocation norms (in general) and the need norm (in particular) remain unaddressed. This may be a fruitful area of inquiry given the large role of affect in fairness phenomena (Colquitt et al., Reference Colquitt, Scott, Rodell, Long, Zapata, Conlon and Wesson2013). Altogether, these gaps can be advanced by integrating fairness theory with processes outlined in attribution theory.

Attribution Theory

Attribution theory explains how information is used to arrive at causal explanations that then differentially motivate decision-making (Weiner, Reference Weiner2006). For example, a supervisor will use available information to determine why an employee has recently demonstrated lower performance; that causal assessment will then help the supervisor decide whether a low performance evaluation or additional training is more appropriate. One of the most popular theories in this literature, Weiner’s (Reference Weiner1985a) attributional theory of achievement motivation and emotion, describes various dimensions of causal explanation. For example, controllability is the extent to which the cause of an individual’s status is perceived to be under the individual’s volition (Weiner, Reference Weiner1979).

Interestingly, Weiner’s (Reference Weiner1985a) theory describes the attribution process in counterfactual terms. Specifically, Weiner (Reference Weiner, Van Lange, Kruglanski and Higgins2012: 144, emphasis added) states that “ability and effort give rise to different evaluations because of their contrasting placement on the causal dimensions of control. Lack of effort is a controllable cause; it ‘could have been otherwise.’ ” While this phrasing is presumably unintentional, Weiner’s couching of attributions as an exercise in counterfactual thinking underscores the potential for attribution theory and fairness theory to meaningfully integrate with and supplement each other.

Fairness Theory, Attribution Theory, and ACT: Parallels and Distinctions

A preliminary understanding of ACT can be achieved by comparing ACT with the two theories that serve as its namesake. First, all three theories have some interesting parallels, chief of which is a common emphasis on utilizing information to hold an individual accountable for his or her status to determine one’s reactions and behaviors toward that individual (Folger & Cropanzano, Reference Folger, Cropanzano and Greenberg2001; Weiner, Reference Weiner1985a). Whereas attribution theory is agnostic as to the target of this accountability assessment (Martinko & Thomson, Reference Martinko and Thomson1998) and fairness theory targets an authority figure (Folger & Cropanzano, Reference Folger, Cropanzano and Greenberg2001), ACT directs this process toward the characteristics of an individual’s need. A theory of need construed entirely within fairness theory would focus on the extent to which an individual is held accountable for his or her need, which would dictate the extent an actor feels inclined to use the need norm to allocate resources. For example, if the needy individual is not held accountable, the need is unfair, and the actor would feel the urge to remedy the situation by allocating to the need. ACT integrates and builds on this foundation by further detailing 1) the specific need characteristics relevant to an actor’s judgment of the individual’s accountability and 2) the specific mechanisms of this process, including the interrelationships between different types of counterfactuals and the identification of sympathy as an affective mechanism by drawing from attribution theory (Barrett, Tugade, & Engle, Reference Barrett, Tugade and Engle2004).

ACT also draws from and builds on attribution theory’s causal search process. Weiner’s (Reference Weiner2006) theory on social motivation and justice provides a good example of what a “pure” attribution theory might look like as it relates to predicting an actor’s use of a need norm. In it, Weiner (Reference Weiner2006) describes the accountability assessment process as being determined by a causal search focused on the controllability and intentionality of an individual’s conduct. When an individual’s conduct is controllable and intentional as it relates to his or her status (e.g., need), the individual is deemed accountable for his or her status, and help is likely to be withheld. While attribution theory is focused on conduct, ACT expands on this notion to include other domains beyond conduct to derive relevant need characteristics that predict an actor’s need norm use. These broad domains are borrowed from fairness theory, while additional specific need characteristics are drawn from other relevant attribution dimensions (e.g., Kelley, Reference Kelley and Levine1967) and seminal theorizing in the justice literature (e.g., Leventhal, Karuza, & Fry, Reference Leventhal, Karuza, Fry and Mikula1980). Altogether, ACT builds on fairness theory and attribution theory to describe what characteristics of a need might elicit the use of the need norm and how this process occurs.

A REVIEW OF RESOURCE ALLOCATION NORMS

Scholars have identified three primary resource allocation norms (Cropanzano, Fortin, & Kirk, Reference Cropanzano, Fortin, Kirk, Buckley, Halbesleben and Wheeler2015): equity, equality, and need. Equity focuses on distributing resources in proportion to one’s contributions (Leventhal, Reference Leventhal, Berkowitz and Walster1976a). The equality norm prescribes that resources be distributed equally among all parties. Finally, need dictates that resources be given to individuals most in need, regardless of contributions (Deutsch, Reference Deutsch1975; Leventhal, Reference Leventhal, Berkowitz and Walster1976a). Though additional allocation rules have been identified, most can be categorized within the equity, equality, and need paradigms (Törnblom & Kazemi, Reference Törnblom, Kazemi, Cropanzano and Ambrose2015).

Of the three allocation norms, the justice literature has coalesced around the equity norm. For example, the most popular operationalization of distributive justice, by Colquitt (Reference Colquitt, Conlon, Wesson, Porter and Ng2001; for a review, see Colquitt & Rodell, Reference Colquitt, Rodell, Cropanzano and Ambrose2015), exclusively utilizes an equity allocation norm. To date, several meta-analyses and qualitative reviews (e.g., Colquitt, Conlon, Wesson, Porter, & Ng, Reference Colquitt, Conlon, Wesson, Porter and Ng2001; Colquitt & Zipay, Reference Colquitt and Zipay2015) document the importance of distributive justice (conceptualized as equity) in impacting employees’ attitudes and behaviors. However, and despite the valuable insights equity theory has brought to the understanding of fairness, authors have recognized that equity is not the appropriate allocation norm in every situation (Deutsch, Reference Deutsch1975; Leventhal, Reference Leventhal, Berkowitz and Walster1976a, Reference Leventhal, Thibaut, Spence and Carson1976b). For example, Cropanzano et al.’s (Reference Cropanzano, Fortin, Kirk, Buckley, Halbesleben and Wheeler2015) review concludes that the equality allocation norm often serves as a resource allocation heuristic when cognition-based processing is infeasible because of high cognitive demands. Furthermore, scholars have advocated for the importance of addressing the role of recipient need in resource allocation decisions (Baer et al., Reference Baer, Frank, Matta, Luciano and Wellman2020). While both equality and need seem to be underresearched in relation to equity, ACT begins with deliberative (vs. heuristic-based) processing of justice perceptions. As a result, ACT primarily focuses on an actor’s use of the need norm.

Need Characteristics and Need-Based Resource Allocation

Despite some progress in examining need-based allocations, the extant literature has focused on predictors that are exogenous to the need (i.e., factors other than the characteristics and features of the need itself). Indeed, prior studies have found that contextual factors, such as group setting or national and organizational culture, influence the likelihood that actors utilize a need allocation norm (e.g., He, Chen, & Zhang, Reference He, Chen and Zhang2004; Kim, Park, & Suzuki, Reference Kim, Park and Suzuki1990; Mannix, Neale, & Northcraft, Reference Mannix, Neale and Northcraft1995; Poepsel & Schroeder, Reference Poepsel and Schroeder2013; Webb Day, Holladay, Johnson, & Barron, Reference Webb Day, Holladay, Johnson and Barron2014). Similar effects have been found in studies that examine intraindividual factors of the actor, such as empathy or affect (e.g., Blader & Rothman, Reference Blader and Rothman2014; Cropanzano, Massaro, & Becker, Reference Cropanzano, Massaro and Becker2017). There are a few notable exceptions to this trend. Leventhal and colleagues (Leventhal, Reference Leventhal, Berkowitz and Walster1976a, Reference Leventhal, Thibaut, Spence and Carson1976b; Leventhal et al., Reference Leventhal, Karuza, Fry and Mikula1980) theorized a series of factors that predict actors’ need norm use, some of which could be described as need characteristics (e.g., need scarcity, need harmfulness). Conlon, Porter, and Parks (Reference Conlon, Porter and Parks2004) distinguish between needs driven by personal reasons and those driven by business reasons. They find that allocations based on business needs (vs. personal needs) tend to activate the use of a need allocation norm and are thus perceived as more fair. For example, allocating more resources to an employee whose greater need is driven by compliance with business regulations is likely to be viewed as more fair than when the need is perceived to be driven by a problem in the employee’s personal life. Another set of studies by Skitka and Tetlock (Reference Skitka and Tetlock1992) examined the internality/controllability (Weiner, Reference Weiner, Van Lange, Kruglanski and Higgins2012) of the cause that led to the need. They found that needs attributed to less controllable (e.g., aptitude) and more external (e.g., situational) causes show a greater tendency to elicit the use of need allocation norms.

The body of literature reviewed herein illustrates a few aspects of our conceptualization of need. First, the definition of need as a deprivation of a resource is quite broad. Specifically, resources “can be defined as anything which people may have an interest in having or using (e.g., health, wealth, deference, skill)” (Schwartz, Reference Schwartz1975: 112). Similarly, the various descriptors of a need (presently referred to as characteristics) are also quite inclusive. As partly exemplified earlier, need characteristics can encompass the causes of a given state of well-being (Skitka & Tetlock, Reference Skitka and Tetlock1992), the domain of a need’s impact if left unaddressed (Conlon et al., Reference Conlon, Porter and Parks2004), the incidence rate within an organization, the costs associated with a need, or any number of constructs that can describe and differentiate one need from another. To advance these initial findings, we present a theoretically driven framework that integrates various need characteristics that can impact an actors’ need norm use. Our goal is not to provide an exhaustive list of need characteristics, as such endeavors do not necessarily constitute theory (Sutton & Staw, Reference Sutton and Staw1995). Instead, our theory is an initial foray intended to draw on and integrate fairness theory and attribution theory to identify the most crucial need characteristics that ultimately predict an actor’s need norm use (Weick, Reference Weick1995).

THE ATTRIBUTIONAL–COUNTERFACTUAL THEORY OF NEED: A FRAMEWORK FOR NEED ALLOCATION NORM USE

The attributional–counterfactual theory of need draws from the three fairness theory counterfactual domains to outline need characteristics that can elicit an actor’s use of the need norm. Specifically, the would, could, and should counterfactuals speak to 1) a needy recipient’s state of well-being, 2) a recipient’s conduct and alternative courses of action with respect to his or her need, and 3) the ethical principles surrounding a need-based allocation to the recipient, respectively. We use attribution theory to advance these counterfactual domains to detail the specific need characteristics that drive an actor’s counterfactual thinking, resulting in a theoretically based taxonomy of need characteristics. Attribution theory is then used to describe how need characteristics differentially elicit an actor’s counterfactual thinking and need norm use. This elucidation is based on Weiner’s (Reference Weiner1985a) attributional theory of motivation and emotion, which serves as the basis to support the temporal ordering of these counterfactual thoughts and the identification of sympathy as a critical affective mechanism that links counterfactual thinking to need norm use (Weiner, Reference Weiner2006).

Taxonomy of Need Characteristics and Counterfactual Thinking

Past literature has evaluated and described a need’s magnitude along a single continuum (i.e., less need or more need; Martin & Harder, Reference Martin and Harder1994; see also Conlon et al., Reference Conlon, Porter and Parks2004; He et al., Reference He, Chen and Zhang2004; Mannix et al., Reference Mannix, Neale and Northcraft1995), where more need likely elicits the use of a need norm (Skitka & Tetlock, Reference Skitka and Tetlock1992). In Skitka and Tetlock’s study, for instance, participants were asked to assume the role of a decision maker responsible for allocating organs for transplants where “high need in the organ context was operationally defined as having a 1% chance of surviving until another organ became available … [and] low need placed that chance at 10%” (502). In this study, the distribution of resources was evaluated by considering the negative consequences for each potential recipient (chance of survival) derived from being denied a specific resource (a transplant). In other studies, need is treated as a unidimensional black box, described as high or low without providing insight into the factor or factors that drove this assessment. This is the case for Conlon and colleagues’ (Reference Conlon, Porter and Parks2004: 337) study, in which researchers manipulated participants’ perceptions of need using a statement that read: “A colleague has told you that your manager chose the employees he thinks have the greatest personal need to be unaffected by the salary reductions.”

However, actors’ perceptions of the magnitude of a need and, therefore, their decisions to use a need allocation norm are likely to respond to a variety of need characteristics. To advance current understanding, need must be studied as a multifaceted construct, as suggested in the disability literature (Stone & Colella, Reference Stone and Colella1996). In ACT, we integrate past literature and propose a taxonomy that categorizes need characteristics based on the three content domains associated with counterfactuals in fairness theory: state of well-being, conduct, and ethical principles (Colquitt et al., Reference Colquitt, Greenberg, Zapata-Phelan, Greenberg and Colquitt2005; Weiner, Reference Weiner1985b).

State of Well-Being and Would Counterfactuals

The most frequently studied need characteristic is the perception that the recipient is in an unfavorable state of well-being relative to a point of reference. For instance, the disabilities literature often compares a person’s current well-being to the person’s well-being prior to the onset of the disability or to that of a person without a disability (Colella, Reference Colella2001; Stone & Colella, Reference Stone and Colella1996). This suggests that need norm use increases in proportion to the discrepancy between an individual’s perceived state of well-being and a given reference point. This can be construed as a form of counterfactual thinking wherein a recipient’s perceived current well-being is compared to a hypothetical and/or imagined alternative reference point. Of the three counterfactuals, would counterfactuals are most likely to be elicited under these circumstances because would counterfactuals are directed at understanding and making decisions related to states of well-being (i.e., “Would I have been better off if a different outcome had occurred?” addresses one’s state of well-being).

Judgments of a recipient’s state of well-being can also be impacted by the level of awareness of a need. Schwartz’s (Reference Schwartz1975) theory on the justice of need proposes that a judgment of need is driven by the awareness that an individual is lacking some desired resource and that this lack of resources is accompanied by negative consequences. This underscores two related categories of need characteristics relevant to an actor’s assessment of a recipient’s state of well-being: 1) the negative effect that a need creates on the recipient’s well-being (i.e., negativity) and 2) the actor’s awareness of the recipient’s state of well-being (i.e., awareness). Similarly, attribution theory (Weiner, Reference Weiner1985a, Reference Weiner1985b) argues that more negative and attention-capturing events are more likely to initiate attributional processes (Berscheid, Graziano, Monson, & Dermer, Reference Berscheid, Graziano, Monson and Dermer1976). Consequently, the two associated categories of negativity and awareness serve as a basis for predicting an actor’s would counterfactual thinking in ACT.

Negativity

The negativity of a need captures the unfavorable effects of the need on the recipient’s well-being (Skarlicki & Kulik, Reference Skarlicki and Kulik2004). The perception of negative consequences triggers imagined alternative states (i.e., counterfactual thinking), such as “would this employee be better off if she had not lost her home to a fire?” (Schwartz, Reference Schwartz1975). Within the general psychology literature, negative impacts are thought to vary in both their direct consequences and their indirect consequences (Sweeny, Reference Sweeny2008). Direct consequences reflect the depth of a recipient’s unfavorable change in status, whereas indirect consequences reflect the extensiveness, or breadth, of effects (Sweeny, Reference Sweeny2008). Building on this notion, we propose that need negativity is driven by two need characteristics that capture the depth and breadth of negativity, respectively (see Figure 1).

The first characteristic is the extent of the injury provoked by the need; greater injuries are perceived as more negative, reflecting the depth of the need’s negativity. For example, in their experimental study discussed previously, Skitka and Tetlock (Reference Skitka and Tetlock1992) presented their subjects with cases in which they manipulated the patient’s extent of injury by varying the patient’s chance of survival without a new organ. Second, the negativity of a need is also explained by its breadth, or the extent to which the need affects various domains of an individual’s life. A need with a large breadth will negatively impact job-related, social, physical, and religious aspects of one’s life and thus be perceived as more negative. In the example of an employee’s house being lost in a fire, use of the home as a place of business in addition to as a residence would increase the breadth of the need.

Weiner’s (Reference Weiner1985a) attribution theory notes that negative events evoke cognitive activity because they arouse our natural desire to make sense of a situation. We propose that the more negative a need is (i.e., increased extent of injury and breadth), the more would counterfactual thinking is likely elicited. Specifically, greater negativity in a recipient’s need causes an actor to engage in greater would counterfactual thinking because would counterfactuals are focused on sense making in the well-being domain, and need negativity speaks directly to a recipient’s current state of well-being (Nicklin et al., Reference Nicklin, Greenbaum, McNall, Folger and Williams2011). Furthermore, need negativity increases the discrepancy between the current state of well-being and a given hypothetical reference point. For instance, the state of well-being of a professional athlete who suffers major back pain is further from the reference point of a white-collar employee with a healthy back. The major back pain case would produce stronger would counterfactual thinking due to greater extent of injury and breadth (i.e., the injury affects professional and personal domains). Thus the components of negativity should be positively related to an actor’s would counterfactual thinking:

Proposition 1a: A need’s extent of injury will increase an actor’s would counterfactual thinking.

Proposition 1b: A need’s breadth will increase an actor’s would counterfactual thinking.

Awareness

Awareness reflects the extent to which a need directs an actor’s attention toward a recipient’s current state of well-being. If an actor is less aware of a recipient’s unfavorable state of well-being, the actor is less likely to seek to understand and consider that need. In other words, the actor may be more prone to inadvertently ignoring the need. In contrast, a need high in awareness draws in an actor’s cognitive resources as he or she processes and makes a judgment regarding the recipient’s current state of well-being. This argument is consistent with attribution theory, in which more important events are more likely to evoke cognitive activity and sense making (Weiner, Reference Weiner1985b). In the present case, ACT proposes that awareness likely induces an actor’s would counterfactual thinking as he or she seeks to comprehend and evaluate the need.

Frameworks from cognitive psychology provide the structure of awareness utilized in ACT. A recent review identifies preattention, reorienting, and sensory amplification as critical processes that determine individual attention toward stimuli (Carretié, Reference Carretié2014). Preattention involves the unconscious elicitation of awareness of a stimulus as the individual engages with the environment. Reorienting involves redirecting processing resources to stimuli considered important. Finally, sensory amplification consists of the conscious modulation of attentional resources so that the processing of the important stimulus is maintained rather than reoriented to other stimuli (Serences & Yantis, Reference Serences and Yantis2007). For example, while walking through a garden, a unique flower may catch the corner of a botanist’s eye, evoking preattentive processes that cause them to perceive the existence of the flower. At the same time, the cognitive resources previously directed toward walking through the garden may be reoriented to admiring the flower. Finally, through sensory amplification processes, they may consciously maintain their attention on the flower while ignoring other distractions in the garden. In ACT, the three processes explain the aspects of a need that draw attention from the actor, thereby stimulating cognitive processes of awareness and, consequently, facilitating would counterfactual thinking. These three need characteristics (visibility, disruption, and urgency) are discussed in the following pages.

First, visibility is likely to draw preattention to a need, making the actor more cognizant of its existence (cf. Stone & Colella, Reference Stone and Colella1996). Needs low in visibility are difficult to detect and often require effort on behalf of the recipient to disclose his or her need to the actor (Sabat et al., Reference Sabat, Lindsey, Membere, Anderson, Ahmad, King and Bolunmez2014). Recipients themselves might be uncertain of their own unfavorable states of well-being when the need is less visible (Santuzzi, Waltz, Finkelstein, & Rupp, Reference Santuzzi, Waltz, Finkelstein and Rupp2014). This perhaps explains why individuals often discount the negative effects of less visible needs, such as mental illness (McLaughlin, Bell, & Stringer, Reference McLaughlin, Bell and Stringer2004). For actors, the sense of “conviction and validity” that accompanies more visible needs establishes a need’s presence and lays the groundwork to make sense of the recipient’s situation, increasing would counterfactual thinking (Slaughter, Cable, & Turban, Reference Slaughter, Cable and Turban2014).

Another need characteristic is disruption, or the extent to which a need produces discontinuities in recipients’ work or life situations (Gersick, Reference Gersick1991; Swider, Liu, Harris, & Gardner, Reference Swider, Liu, Harris and Gardner2017). For example, the adoption of a toddler is much more disruptive for an employee who is a first-time parent than one who already has a school-aged child. Though both employees have one additional child to care for, the amount of change in their lives from before to after the adoption varies. Given that reorientation involves a shift of attention from one stimulus to another (Carretié, Reference Carretié2014), a more disruptive need likely demands a correspondingly larger reorientation to draw cognitive resources away from other stimuli to the need, in order to facilitate its comprehension. As a result, an actor’s awareness of a need is greater because the actor directs attention to analyzing the state of well-being caused by a disruptive need, which should increase an actor’s would counterfactual thinking. Given that individuals can be cognitive misers (Fiske & Taylor, Reference Fiske and Taylor2013), less disruptive needs probably do not seem worthy of cognitive processing via would counterfactual thinking, especially considering the similarity in recipients’ situations prior to and following a less disruptive need. Conversely, disruption likely produces a starker contrast in an actor’s mind when he or she compares the current unfavorable state to the more disparate, and favorable, prior state. This contrast should increase an actor’s would counterfactual thinking.

Finally, a need may vary in the extent to which it requires an immediate response, or its urgency. The need of an employee who will undergo surgery on Friday is more urgent than the need of an employee who will go through a similar procedure in six months and is therefore more likely to amplify, through the use of more cognitive resources, an actor’s attention to the need. It is also more likely to elicit would counterfactual thinking, for two reasons. First, an urgent need is more difficult to ignore or dismiss, likely increasing an actor’s motivation to engage in imagined thinking (Amabile, Reference Amabile1985), in this case by exploring would counterfactuals vis-à-vis the need. Additionally, urgency likely causes an actor to prioritize making sense of the need and prevents the reorientation of his or her attention to other unrelated cognitive tasks. As a result, the actor’s focus and cognitive resources are drawn into the counterfactual thinking process, increasing the actor’s ability to consider a need-based allocation through counterfactuals (Kanfer & Ackerman, Reference Kanfer and Ackerman1989) and ultimately increasing the intensity with which he or she engages in would counterfactual thinking as it relates to understanding a recipient’s state of well-being:

Proposition 2a: A need’s visibility will increase an actor’s would counterfactual thinking.

Proposition 2b: A need’s disruption will increase an actor’s would counterfactual thinking.

Proposition 2c: A need’s urgency will increase an actor’s would counterfactual thinking.

Conduct and Could Counterfactuals

Could counterfactuals are broadly directed at understanding individual conduct (Folger & Cropanzano, Reference Folger, Cropanzano and Greenberg2001). In the present case, making sense of recipients’ needs involves understanding and judging their conduct as it relates to the need. This dovetails with a basic attribution theory premise. Previously applied to the case of help giving (Brickman, Rabinowitz, Karuza, Coates, Cohn, & Kidder, Reference Brickman, Rabinowitz, Karuza, Coates, Cohn and Kidder1982), attribution theories suggest that actors desire to establish the extent to which a recipient is accountable for his or her problem by looking to the past (Brickman et al., Reference Brickman, Rabinowitz, Karuza, Coates, Cohn and Kidder1982) and understanding the role another’s conduct played in causing the recipient’s current status (Weiner, Reference Weiner1985a). Attribution theory refers to this notion as controllability (Weiner, Reference Weiner, Van Lange, Kruglanski and Higgins2012). Whereas other causal dimensions in attribution theory are orthogonal to one’s conduct (Weiner, Reference Weiner, Weiner and Craighead2010) and/or consider the impact of the situation (Mantler, Schellenberg, & Page, Reference Mantler, Schellenberg and Page2003), controllability primarily focuses on an individual’s conduct (Weiner, Reference Weiner, Weiner and Craighead2010).

Controllability

Controllability is the extent to which the causes of a need are under the volitional control of the recipient (Skitka & Tetlock, Reference Skitka and Tetlock1992). When a need is perceived to be high in controllability, the actor will be prone to imagining alternative ways in which the recipient could have prevented finding himself or herself in need, thus engaging in could counterfactual cognitions. For example, obesity is often perceived to be controllable (Ebneter, Latner, & O’Brien, Reference Ebneter, Latner and O’Brien2011), so a necessary workplace accommodation request is more likely to generate could counterfactuals when it is due to obesity than when it is due to another condition that is perceived to be less controllable, such as a genetic disorder. While the focus of this controllability calculus is on the recipient’s conduct, other information may be attended to by actors (and impact could counterfactual thinking) insofar as it informs his or her judgments of a need’s controllability. An actor may even consider the extent to which the actor’s own conduct impacted the controllability of a recipient’s need (Brickman et al., Reference Brickman, Rabinowitz, Karuza, Coates, Cohn and Kidder1982) through counterfactuals directed at himself or herself, as in the case of a subordinate’s workplace injury due to a supervisor’s mishandling of equipment. Indeed, causal attributions that more heavily weigh the actor’s conduct may reduce perceptions of a need’s controllability (Brickman et al., Reference Brickman, Rabinowitz, Karuza, Coates, Cohn and Kidder1982).

Weiner (Reference Weiner, Van Lange, Kruglanski and Higgins2012: 144, emphasis added) describes controllability in terms of a could counterfactual: “Ability and effort give rise to different evaluations because of their contrasting placement on the causal dimensions of control. Lack of effort is a controllable cause; it ‘could have been otherwise.’ ” In support of this notion, higher controllability has been found to trigger less frequent resource allocation to a needy recipient (Skitka & Tetlock, Reference Skitka and Tetlock1992). Integrating attribution and fairness theories as they relate to controllability, we propose that the perception that a need is caused by a recipient’s volitional conduct results in greater could counterfactual thinking (e.g., “the recipient could have done something to avoid his or her current unfavorable state of well-being”). In this way, the ACT draws from Skitka and Tetlock’s (Reference Skitka and Tetlock1992) contingency model of distributive justice to identify controllability as a critical factor that drives could counterfactual thinking; thus we have the following proposition:

Proposition 3: A need’s controllability will increase an actor’s could counterfactual thinking.

Principles and Should Counterfactuals

Although an actor might be aware of a recipient’s need, the actor may not feel ethically obliged to provide assistance (Leventhal et al., Reference Leventhal, Karuza, Fry and Mikula1980). Following the exploration of the consequences and causes of a need, ACT analyzes a third group of need characteristics that explain the factors that compel an actor’s need norm use. These factors trigger consideration of ethical principles associated with resource allocation decisions. Consistent with the deontic approach that is explicit in fairness theory (Folger, Cropanzano, & Goldman, Reference Folger, Cropanzano, Goldman, Greenberg and Colquitt2005), this decision process likely manifests as should counterfactual thinking.

As mentioned earlier, past fairness theory research has focused on actors’ decisions ex post facto, that is, after decisions have already been made. In these cases, the should counterfactual process involves judging an actor’s past decisions in comparison to a hypothetical alternative that conforms to relevant ethical principles (e.g., Nicklin, Reference Nicklin2013; Nicklin et al., Reference Nicklin, Greenbaum, McNall, Folger and Williams2011). In contrast, ACT’s should counterfactual thinking analyzes the differential ethicality of two alternatives for a decision that has yet to be made: a need norm allocation and the more commonly used equity norm (Folger, Reference Folger1994, Reference Folger and Schminke1998). The greater the ethicality of a need norm compared to that of the default equity norm, the more likely it is that it will trigger an actor’s consideration of the implications of a need-based resource allocation (i.e., greater should counterfactual thinking). Ultimately, these should counterfactuals weigh the ethical imperative of a need norm vis-à-vis an equity norm, and the decision that is more consistent with ethical principles is determined to be more appropriate (Folger & Cropanzano, Reference Folger, Cropanzano and Greenberg2001).

We propose that specific characteristics of a need highlight the ethical discrepancies between need and equity allocations and therefore incite an actor’s should counterfactual thinking. Leventhal and others (Reference Leventhal, Gergen, Greenberg and Willis1980) argue that a need norm allocation can be motivated by a social responsibility toward advancing recipients’ well-being in the social system and also by pragmatic reasons associated with the goals of the social system, as the actor has an ethical responsibility to act in ways that benefit the social system the actor represents (Leventhal, Reference Leventhal, Berkowitz and Walster1976a). Therefore we argue that an actor is presented with two general and related sets of principles to examine the ethicality of resource allocation: 1) principles of social responsibility (to which we refer as moral obligation) and 2) principles of responsibility toward the organization that he or she represents (to which we refer as benefit to the organization). Need characteristics under each of these two sets of principles are discussed in the following sections.

Moral Obligation

Actors may consider the option of using a need norm because they believe that it represents the morally responsible thing to do (Berkowitz, Reference Berkowitz and Berkowitz1972). For instance, a manager can feel a moral responsibility to dedicate long hours to informally mentoring a young supervisor who struggles to connect with his or her team and attain good results, rather than seeking a replacement for this position. Early studies by Berkowitz (Berkowitz & Connor, Reference Berkowitz and Connor1966; Berkowitz & Daniels, Reference Berkowitz and Daniels1964) and Feldman (Reference Feldman1968) found evidence of helping behaviors motivated by social responsibility rather than social exchange. However, the potency of social responsibility to motivate resource allocation decisions is likely to vary, as some characteristics of the need itself activate or deactivate an actor’s feelings of responsibility. We argue that an actor is more likely to feel socially responsible for a recipient that is highly dependent on him or her (Berkowitz & Connor, Reference Berkowitz and Connor1966; Berkowitz & Daniels, Reference Berkowitz and Daniels1963) and less likely to feel this responsibility when the need is socially stigmatized (Leventhal, Reference Leventhal, Berkowitz and Walster1976a; Leventhal et al., Reference Leventhal, Karuza, Fry and Mikula1980).

On one hand, an actor is more likely to use a need norm if the actor has a “feeling of personal responsibility for the recipient’s welfare” (Leventhal, Reference Leventhal, Berkowitz and Walster1976a: 124). Drawing from prior theory on social resources (Foa & Foa, Reference Foa, Foa, Tornblom and Kazemi2012; Foa & Foa, Reference Foa, Foa, Gergen, Greenberg and Willis1980), this feeling of personal responsibility is likely elicited by a need’s particularism, or the extent to which the need can only be alleviated by the focal actor. In this regard, needed resources vary in how universal versus particular they are to an actor. Money is a highly universal resource that is equally valuable when provided by one person or another; needs associated with relationships, on the other hand, tend to be highly particular to specific individuals (Foa & Foa, Reference Foa, Foa, Gergen, Greenberg and Willis1980). For example, high-quality leader–member exchange (LMX) relationships (Martin, Guillaume, Thomas, Lee, & Epitropaki, Reference Martin, Guillaume, Thomas, Lee and Epitropaki2016) take significant time and energy to develop (Graen & Uhl-Bien, Reference Graen and Uhl-Bien1995), and their benefits cannot be easily substituted. Another relationship-related need that is high in particularism is recognition (Markham, Scott, & McKee, Reference Markham, Scott and McKee2002), which is more meaningful when fulfilled by specific persons. Particularism bears great significance for the selection of a need allocation norm because it activates feelings of social responsibility for the recipient’s welfare (Leventhal, Reference Leventhal, Berkowitz and Walster1976a). Berkowitz and others’ experiments demonstrated that actors make a greater effort to help (Berkowitz & Daniels, Reference Berkowitz and Daniels1963) and feel a stronger social responsibility for (Berkowitz & Connor, Reference Berkowitz and Connor1966) recipients who are highly dependent on them, that is, when the particularism of their need is high. We argue that the particularism of a need creates a moral imperative for the actor by imbuing a sense of personal responsibility for the recipient’s welfare (Leventhal, Reference Leventhal, Berkowitz and Walster1976a). In contrast, a less particular need likely results in a diffusion of the actor’s responsibility to address the need (Skarlicki & Kulik, Reference Skarlicki and Kulik2004), which decreases should counterfactual thinking by lowering the actor’s felt moral obligation to use a need norm.

On the other hand, actors are less likely to feel social responsibility for the recipient when the need carries a social stigma, which is the extent to which the need is perceived to have negative attributes or consequences that are implicitly deviant from norms (Leventhal, Reference Leventhal, Berkowitz and Walster1976a; McLaughlin et al., Reference McLaughlin, Bell and Stringer2004). For example, a need associated with drug addiction is associated with a stronger stigma than a need stemming from family obligations (Colella, Reference Colella2001). A need may evoke stigmatized responses in multiple ways. The nature of the need itself may be stigmatizing, such as in the case of an employee with congenital physical abnormalities that require accommodation (Stone & Colella, Reference Stone and Colella1996). Additionally, factors surrounding the need may stigmatize an otherwise normative need. For example, a request for maternity leave may have differing levels of stigma based on whether the employee is in a heterosexual or a same-sex relationship. Stigma may even occur from less direct sources (i.e., stigma by association), for instance, when an employee requests medical leave to care for a relative who is HIV-positive (Neuberg, Smith, Hoffman, & Russell, Reference Neuberg, Smith, Hoffman and Russell1994). Regardless of its form, stigma impacts the should counterfactual process because the need’s stigma marks the recipient as an “other,” and as a result, the recipient is seen as less valuable or as morally defective (Goffman, Reference Goffman1963; Major & O’Brien, Reference Major and O’Brien2005). Instead of feeling socially responsible, the actor would seek to distance himself or herself from the stigmatized need (Rai & Fiske, Reference Rai and Fiske2011). Consequently, stigma likely elicits lower levels of should counterfactual thinking.

On the basis of the preceding discussion, we make the following propositions:

Proposition 4a: A need’s particularism will increase an actor’s should counterfactual thinking.

Proposition 4b: A need’s stigma will decrease an actor’s should counterfactual thinking.

Benefit to the Organization

Pragmatic considerations pertaining to the appropriate use of resources are important in organizational justice decisions (Johnson, Lanaj, & Barnes, Reference Johnson, Lanaj and Barnes2014; Scott et al., Reference Scott, Colquitt and Paddock2009). Early work by Leventhal and colleagues (Reference Leventhal, Karuza, Fry and Mikula1980) proposed that an actor would be more inclined to use a need allocation norm when satisfying the need would further the goals of the organization (McLean Parks, Conlon, Ang, & Bontempo, Reference McLean Parks, Conlon, Ang and Bontempo1999). A more recent empirical study by Conlon and colleagues (Reference Conlon, Porter and Parks2004) gives support to this proposition by showing that allocations based on business-related needs activate participants’ use of a need norm more frequently than those based on personal needs (such as financial difficulty from a recently laid-off spouse; McLean Parks et al., Reference McLean Parks, Conlon, Ang and Bontempo1999). Thus, the greater the organizational benefits of using a need norm allocation, compared to a standard equity norm, are, the more likely it is to elicit actor should counterfactual thinking. For example, in an office where employees are abruptly directed to work from home, some employees may find that their equipment is inadequate for their work activity. In these situations, the manager is likely to consider that new equipment or high-speed internet connections should be provided only to those employees who need them.

Conversely, an actor is less likely to consider a need norm allocation as appropriate when satisfying the need does not benefit the organization’s bottom line. For instance, a very productive employee’s request to change from full-time to part-time, in order to take care of a dependent parent, has the potential to affect the employee’s productivity, and therefore satisfying this need will likely hinder organizationally relevant goals (Colella, Reference Colella2001). A need that fails to advance, or that even hurts, the bottom line may be less likely to elicit an actor’s should counterfactual thinking associated with his or her responsibility to advance the organization’s goals, leading to the selection of a more common equity norm instead.

ACT draws from the three attribution factors identified in Kelley’s (Reference Kelley and Levine1967) covariation model of attribution to forward consistency, consensus, and distinctiveness as predictors of an actor’s should counterfactual thinking. Essentially, Kelley (Reference Kelley1973: 108) argues that “an effect is attributed to the one of its possible causes with which, over time, it covaries.” Traditionally, this has meant that an individual performs causal analysis based on the consistency, consensus, and distinctiveness of observed behaviors (Harvey, Madison, Martinko, Crook, & Crook, Reference Harvey, Madison, Martinko, Crook and Crook2014). Although attribution theory does acknowledge that individuals are inherently interested in understanding the causes of a status, attributions also serve to shape individuals’ expectancies in terms of potential consequences (Martinko, Harvey, & Dasborough, Reference Martinko, Harvey and Dasborough2011); that is, individuals care about attributions not only because they want to understand why something occurred but also because attributions provide information on likely future impacts. Representing a shift from the traditional behavioral-causal focus of Kelley’s three attribution dimensions (Harvey et al., Reference Harvey, Madison, Martinko, Crook and Crook2014), ACT positions these constructs as need characteristics that predict an actor’s attributions of a need’s impact to the organization’s bottom line. In doing so, ACT contributes to attribution theory by shifting Kelley’s (Reference Kelley and Levine1967) covariation between behavior and causes to a focus on covariation between need characteristics and impacts. This exemplifies the versatility of Kelley’s three attributional dimensions while integrating these constructs with related attributional theory focused on principled decision-making (Brickman et al., Reference Brickman, Rabinowitz, Karuza, Coates, Cohn and Kidder1982).

First, consistency captures the extent to which a need extends itself over time (Kelley, Reference Kelley and Levine1967). In addition to looking retrospectively at the characteristics of a need that have already arisen, actors are likely to evaluate a need in a prospective fashion (Weiner, Reference Weiner, Van Lange, Kruglanski and Higgins2012). Thus a need high in consistency creates a long-term burden on the organization that limits the amount and flexibility of resources that can be utilized toward future organizational opportunities. In light of an actor’s responsibility to advance the organization’s interests, this might cause an actor to view an allocation to a highly consistent need as less ethical, even when the actor’s personal preference may have been to act in ways that would advance the recipient’s well-being. Indeed, given the connection between justice and uncertainty (Lind & Van den Bos, Reference Lind, Van den Bos, Staw and Kramer2002), committing to a more consistent need may be considered an inappropriate use of an organization’s resources given uncertain future conditions. In addition to consistency’s impact on the organization’s functioning, consistent needs potentially lead to compassion fatigue (Kinnick, Krugman, & Cameron, Reference Kinnick, Krugman and Cameron1996) and a greater view that allocations to such needs create an unsustainable dependence on behalf of the recipient, which ultimately may cause more harm when such resources are taken away (Perloff, Reference Perloff1987). The view that addressing individual needs can encourage recipients’ dependency on such allocations and have a negative impact on organizational functioning is shared by Leventhal and colleagues (Reference Leventhal, Karuza, Fry and Mikula1980).

Consensus refers to the degree to which a need is similarly shared by others (Kelley, Reference Kelley and Levine1967). This can be thought of as the prevalence of a given need in the organization (Rothman, Reference Rothman2012). Needs with greater consensus are more disruptive to organizational functioning, and therefore it becomes incumbent on the actor (as an agent of the organization) to address them so that operations can continue uninterrupted. In this way, the attribution of responsibility to address needs high in consensus shifts from the recipient (who in cases of low consensus may be terminated or ignored) to the actor and organization, who now have the economic incentive to marshal resources to address the need (Brickman et al., Reference Brickman, Rabinowitz, Karuza, Coates, Cohn and Kidder1982). In fact, owing to economies of scale, high-consensus needs (e.g., stress) may be more efficiently addressed by the organization (e.g., employee assistance programs), allowing recipients to be more productive employees, which ultimately benefits the organization (Joseph, Walker, & Fuller-Tyszkiewicz, Reference Joseph, Walker and Fuller-Tyszkiewicz2018). This logic may explain why certain high-consensus needs are addressed through organization-wide employee benefits and codified into policies. Because satisfying the need for recipients can mitigate negative impacts on the organization’s bottom line, a need’s consensus is likely to trigger increased should counterfactual thinking.

Finally, concerns about the impact of a need on the bottom line of an organization are also activated by the need’s distinctiveness. Drawing from the attribution literature, distinctiveness refers to the extent to which a need is inconsistent with other characteristics of the recipient (Kelley & Michela, Reference Kelley and Michela1980), such as his or her expressed values and beliefs, prior statuses, social networks, or personality. For example, a supervisor is likely to view a subordinate’s need for an assistant to manage the subordinate’s workload as a more distinctive need if this subordinate prides himself or herself on being independent and prefers working alone than if this subordinate has many friends and is extraverted. A distinctive need is more likely to be perceived as an exception and thus have less of an impact on the organization. Additionally, individuals generally desire consistency in their decisions (Festinger, Reference Festinger1957), so a distinctive need can be addressed without risking additional requests for need-based allocations in other areas. This prevents further obligating the actor to deviate from equity while allowing him or her to maintain consistency in treatment of the recipient. Finally, a distinctive need is less likely to evoke perceptions of unfairness from others in the organization and is thus less threatening to the functioning and harmony of an organization (Rahim, Magner, & Shapiro, Reference Rahim, Magner and Shapiro2000). This is consistent with the notion that actors are typically hesitant to deviate from the default equity allocation norm because equity is generally perceived as most appropriate (Colquitt, Reference Colquitt2001). We argue in ACT that a need’s distinctiveness will increase benefit to the organization, thereby increasing an actor’s should counterfactual thinking:

Proposition 5a: A need’s consistency will decrease an actor’s should counterfactual thinking.

Proposition 5b: A need’s consensus will increase an actor’s should counterfactual thinking.

Proposition 5c: A need’s distinctiveness will increase an actor’s should counterfactual thinking.

Temporal Sequence of Would and Could Counterfactuals

The question of the temporal ordering of counterfactuals was posed in Folger and Cropanzano’s (Reference Folger, Cropanzano and Greenberg2001) seminal theorizing. Specifically, Folger and Cropanzano note that “the Would judgment ... often brings about Could thinking . . . however, some Could judgments might actually precede Would judgments as foregone conclusions” (19). While subsequent research has left the temporal ordering of the counterfactuals arbitrary (Folger & Cropanzano, Reference Folger and Cropanzano1998), Weiner’s (Reference Weiner1985a) attribution theory provides a more unqualified view on this dynamic. It outlines a temporal sequence that begins with an event observed by an individual. The event triggers a subsequent causal search in the observer to understand the reasons why this event occurred, and this causal search culminates in a behavioral reaction. Applied to ACT, the motivational sequence is initiated by an actor’s perception that a need exists and an evaluation of its characteristics as the actor explores why and how the need came about (Weiner, Reference Weiner1985a, Reference Weiner1985b) to determine whether to use a need norm.

ACT integrates the attribution sequence from attribution theory with fairness theory by linking the use of would and could counterfactuals. As posited earlier, need characteristics that address the negativity of the need and the actor’s awareness of the need will trigger an actor’s would counterfactuals (“would the recipient have been better off had the need not presented itself?”). Based on attribution theory, we argue that it is this recognition of the existence and negativity of a need through would counterfactuals that activates the subsequent use of could counterfactuals (“could the recipient have behaved differently and in such a way that would have prevented, mitigated, or otherwise improved his or her unfavorable state of well-being?”). Here Weiner’s (Reference Weiner1985a) causal search is motivated by the unfavorable state of well-being. We previously made the case that causal search could be conceptualized as a form of could counterfactual thinking, hence we argue that increasing would counterfactual thinking is another path that motivates could counterfactual thinking. Although this sequence may be moderated by the flow of information as it becomes available to the actor (Folger & Cropanzano, Reference Folger and Cropanzano1998), based on attribution theory (Weiner, Reference Weiner1985a), an actor’s would counterfactual thinking, if and when it occurs, is likely to prompt an increase in could counterfactual thinking:

Proposition 6: An actor’s would counterfactual thinking will increase his or her could counterfactual thinking.

Affective Consequences of Counterfactual Thinking

In addition to eliciting could counterfactual thinking, attribution theory proposes that the would counterfactual appraisal of a recipient’s negative state of well-being activates an immediate affective response (Weiner, Reference Weiner1985a). In the context of need, a primary “moral emotion” is sympathy, the feeling of sorrow or concern for others triggered by their condition (Gerdes, Reference Gerdes2011; Weiner, Reference Weiner2006). In ACT, we propose that sympathy is an automatic affective reaction to the recognition of an individual in need (i.e., greater would counterfactual thinking). On the basis of Weiner’s (Reference Weiner2006) logic, this automatic and implicit reaction means that would counterfactuals likely directly result in higher levels of sympathy from the actor toward the recipient.

In addition to this automatic process, ACT recognizes a more complex mediated process grounded in individuals’ inherent tendency to judge others’ deservingness of resources based on their conduct (Feather, Reference Feather1999). According to the cognition–emotion sequence of attribution theory, causal search results in differing levels of sympathy because a recipient is seen as varying in his or her responsibility for the recipient’s current predicament if he or she could have, but did not, behave in a different way that could have prevented, mitigated, or otherwise improved his or her unfavorable state of well-being (Weiner, Reference Weiner2006). As a result, an actor is also likely to consider a recipient’s conduct in determining the recipient’s deservingness of sympathy (Skitka & Tetlock, Reference Skitka and Tetlock1992). After being triggered by would counterfactual thinking, could counterfactuals are an actor’s attempt to judge a needy recipient’s responsibility for his or her predicament. Those judged as more responsible naturally elicit less sympathy from an actor. Construed within the present framework, this mediation chain starts with 1) would counterfactual thinking, which then causes 2) varying levels of could counterfactual thinking, which ultimately determines 3) an actor’s level of sympathy for a recipient. Compared to an automatic reaction, this process represents an alternative, more nuanced cognitive pathway to actor sympathy.

Should counterfactual thinking is also likely to increase an actor’s sympathy toward the recipient because sympathy is a moral emotion (Weiner, Reference Weiner2006), and should counterfactuals address issues of morality and principles associated with a need. In particular, should counterfactuals align closely with the notion of moral imagination, which involves imagining the moral consequences of decisions. Moral imagination has been thought to predict sympathy because it allows one to better understand what another is feeling (Werhane, Reference Werhane1998). Altogether, this should cause the actor to feel more sympathy toward the recipient given that the recipient is likely now viewed as an individual who ought to be helped through an appropriate need-based allocation (Gray & Wegner, Reference Gray and Wegner2011):

Proposition 7a: Would counterfactual thinking will increase an actor’s sympathy toward the recipient.

Proposition 7b: Could counterfactual thinking will decrease an actor’s sympathy toward the recipient.

Proposition 7c: Should counterfactual thinking will increase an actor’s sympathy toward the recipient.

Proposition 7d: Could counterfactual thinking partially mediates the indirect relationship between would counterfactual thinking and an actor’s sympathy toward the recipient.

Behavioral Consequences of Counterfactual Thinking

Emotions, including sympathy, can trigger a decision or action (Weiner, Reference Weiner2006). Past research in attribution theory has identified various forms of altruism as one such outcome of the attribution process (e.g., Betancourt, Reference Betancourt1990; Reisenzein, Reference Reisenzein1986; Schmidt & Weiner, Reference Schmidt and Weiner1988; Weiner, Reference Weiner1980). On the basis of these findings, we argue that an actor’s sympathy toward the recipient likely predicts the actor’s use of a need norm to allocate resources. This prediction dovetails with prior work in the disability literature that emphasizes the importance of sympathy in driving coworkers to use a need norm to judge the fairness of a colleague’s disability accommodation (Colella, Reference Colella2001; Stone & Colella, Reference Stone and Colella1996):

Proposition 8: An actor’s sympathy toward the recipient will increase his or her use of a need norm to allocate resources to the recipient.

However, an actor’s sympathy may not always result in the use of a need norm. After all, actors can leave sympathy unexpressed or unacted on (Leung, Chiu, & Au, Reference Leung, Chiu and Au1993). To further understand actors’ need norm use, it is necessary to consider moderating factors, which scholars argue must be explored in organizational research (e.g., Johns, Reference Johns2001, Reference Johns2006; Rousseau & Fried, Reference Rousseau and Fried2001). Whereas Weiner’s (Reference Weiner2006) attribution theory is fundamentally mediational and focuses on general laws that transcend contexts, the ACT model explores moderating factors that may affect the impact of sympathy on need norm use in the context of organizational resource allocation decisions.

As established throughout this article, equity is the predominant allocation norm in organizations (Colquitt et al., Reference Colquitt, Conlon, Wesson, Porter and Ng2001). In such a context where a need norm is rarely used (Törnblom & Kazemi, Reference Törnblom, Kazemi, Cropanzano and Ambrose2015), an actor may struggle to balance the urge to apply a need norm (perhaps out of sympathy) with the normative pressure to employ equity as a basis for allocation decisions. The actor may even be surprised to find himself or herself desiring to make a need-based resource allocation due to an automatic affective motivation even though he or she typically makes decisions based on equity and rationality. This tension reflects the interplay between emotion and cognition in regulating motivation and behavior (Weiner, Reference Weiner2006). The dual-process nature of attribution theory (Barrett et al., Reference Barrett, Tugade and Engle2004) suggests that automatic processes may be superseded (i.e., moderated) by controlled processes. That is, behavior results from the interaction between affective automatic processes and rational, controlled processes (Barrett et al., Reference Barrett, Tugade and Engle2004). In the present model, sympathy is the primary affective driver of actors’ need norm use, while should counterfactual thinking is a rational, controlled process that reflects both personal moral obligations and obligations to the organization within an organizational resource allocation context.

Therefore, should counterfactuals, as a form of controlled processing, are likely to moderate the influence of sympathy on an actor’s need norm use by serving a regulatory role in selectively controlling the extent to which sympathy determines an actor’s decision-making. The effect of sympathy on an actor’s need norm use may be stronger when should counterfactuals suggest that it is consistent with principles, both those stemming from the organizational context and other moral obligations relevant to one in a position of power within the organization (Rai & Fiske, Reference Rai and Fiske2011). That is, the larger the ethical gap in favor of a need-based allocation over an equity allocation is (i.e., greater should counterfactual thinking), the greater is the positive impact sympathy will have on an actor’s need norm use. However, when should counterfactual thinking suggests otherwise, the effect of sympathy on an actor’s need norm use may be attenuated. This expectation in ACT is consistent with justice research (e.g., Leventhal, Reference Leventhal, Gergen, Greenberg and Willis1980; Törnblom & Kazemi, Reference Törnblom, Kazemi, Cropanzano and Ambrose2015), which proposes that an actor’s ultimate allocation decision is the result of two competing forces: any potential alternatives to equity (e.g., need norm use driven by sympathy) versus equity considerations:

Proposition 9: An actor’s should counterfactual thinking will moderate the relationship between his or her sympathy toward the recipient and the actor’s use of a need norm to allocate resources to the recipient, such that greater should counterfactual thinking strengthens the relationship.

DISCUSSION

ACT outlines theoretically driven need characteristics that might meaningfully elicit the use of need-based resource allocation norms by actors. Integrating and drawing from fairness theory (Folger & Cropanzano, Reference Folger, Cropanzano and Greenberg2001) and attribution theory (Weiner, Reference Weiner1985a), we propose that these factors impact would, could, and should counterfactuals, which are mental simulations of possible alternatives (Nicklin, Reference Nicklin2013) and focus respectively on a recipient’s state of well-being, the recipient’s conduct, and the ethical principles surrounding the need-based allocation. This model follows Weiner’s (Reference Weiner2006) attributional model of motivation and emotion to explain the process that motivates actors to select a need norm as a basis for resource allocation. Finally, an organizationally relevant interaction is identified using tenets from justice research and fairness theory (Folger & Cropanzano, Reference Folger, Cropanzano and Greenberg2001). In the following section, theoretical contributions and potential future research directions are discussed.

Theoretical Implications

This theory takes several unique perspectives and has numerous implications for distributive justice research in particular and the justice literature more broadly. To begin with, the present article is the first attempt at an integrative theory addressing need-based resource allocation within the distributive justice paradigm. This focus represents a shift from equating equity with distributive justice to an exploration of the antecedents, processes, and moderators associated with distributive justice based on need. This framework provides a unique perspective by focusing on the need itself rather than actor attributes (Blader & Rothman, Reference Blader and Rothman2014). The framework also embodies a change in focus from exogenous factors (i.e., external factors that cause actors to use a need-based resource allocation norm) to a precipitative view that emphasizes endogenous factors (i.e., factors associated with a need itself that might induce an actor’s need norm use; Tepper, Duffy, Henle, & Lambert, Reference Tepper, Duffy, Henle and Lambert2006).

Second, the need framework opens a new avenue of inquiry for researchers to examine whether certain needs have a higher risk of being denied resources than others. Our development of a theoretically driven typology of need characteristics is the initial foray into this research stream. Specifically, ACT outlines the multiple characteristics of a need that might impact individuals’ use of a need-based resource allocation norm. In doing so, we acknowledge that needs are not all equal, and we expand the seemingly unidimensional black box of need into a multidimensional conceptualization. Furthermore, this need typology could provide a theoretical foundation for other research areas related to distributive justice that necessitate a framework to classify needs (e.g., altruism, prosocial, and disability literatures).

Third, ACT makes significant contributions to fairness theory and attribution theory by integrating these two well-established theories such that each bolsters the other. Attribution theory provides theoretical grounding for the specific need characteristics that elicit fairness theory’s would, could, and should counterfactuals (Folger & Cropanzano, Reference Folger, Cropanzano and Greenberg2001). In addition, attribution theory supplements the content perspective of fairness theory with a process perspective and builds on fairness theory’s initial theorizing on the temporal ordering of the three counterfactuals (Folger & Cropanzano, Reference Folger, Cropanzano and Greenberg2001). Together, they contribute to building a more robust theory that can simultaneously address both content and process questions in the justice literature (Greenberg, Reference Greenberg1987). Additionally, taking an attributional process perspective results in the identification of sympathy as an affective mediator that drives actors’ use of the need norm. This ultimately contributes to fairness theory by more fully realizing its original intention as a bridge between the justice and emotion literatures, rather than solely as a cognitive process used to form fairness judgments (Cropanzano et al., Reference Cropanzano, Weiss, Suckow, Grandey, Ashkanasy, Härtel and Zerbe2000).

The integration of fairness theory with attribution theory in ACT also brings significant contributions to attribution theory. For one, fairness theory details the cognitive dynamics implied in attribution theory, namely, the elucidation that causal search might be conceptualized as a form of counterfactual thinking. This has implications for examining causal search as a form of imagined thinking, opening avenues for integration with findings from the creativity literature (e.g., Markman, Lindberg, Kray, & Galinsky, Reference Markman, Lindberg, Kray and Galinsky2007). For example, models from the creativity literature (e.g., Amabile, Reference Amabile1983) might be applied to reveal meaningful antecedents to counterfactual thinking. Additionally, fairness theory provides the broad content domains of individual concern (i.e., state of well-being, conduct, and principles) that serve as the theoretical foundation and organizing framework for various need characteristics derived from attribution theory. Moreover, fairness theory allows for the mediational focus of attribution theory to be supplemented with a moderation perspective. With its emphasis on organizational issues, fairness theory was utilized to derive both the broad content domain (i.e., organizational principles) and cognitive dynamics (i.e., should counterfactuals) that might act as moderators to the affective mechanisms outlined in attribution theory. In doing so, ACT advances attribution theory by increasing its precision and richness within the context of organizations.

Finally, this article contributes to the broader justice literature in multiple ways. The most intuitive contribution is the application of counterfactuals to issues of need in organizations. These are two areas that have not been integrated; their integration highlights the central role that fairness theory plays in the justice literature (Colquitt & Zipay, Reference Colquitt and Zipay2015). Also, fairness theory has primarily been applied to a rather narrow subset of distributive justice phenomena, namely, how recipients judge and react to an actor’s adherence to equity in resource allocation decisions (Colquitt & Zipay, Reference Colquitt and Zipay2015). This stems from the justice literature’s emphasis on equity (Colquitt, Reference Colquitt2001) and subordinate reactions (Scott et al., Reference Scott, Colquitt and Paddock2009). The current article extends the underlying theoretical mechanisms of fairness theory (i.e., counterfactuals) to 1) a distributive justice allocation other than equity, 2) recipients, and 3) actors’ decision-making processes, as opposed to judgments of an actor’s decisions. On one hand, this article applies counterfactuals to the use of need-based allocation norms and shifts the target of the counterfactual-based accountability process from the actor’s actions to the recipient’s needs. Though their form and context might differ (Nicklin et al., Reference Nicklin, Greenbaum, McNall, Folger and Williams2011), the present endeavor illustrates that counterfactuals can be not only utilized to examine the actions of actors but also meaningfully expanded to account for the actions, situations, and circumstances of other parties. On the other hand, fairness theory has chiefly been utilized to explain how individuals judge and react to an actor’s decision. Yet, the present theory establishes that counterfactuals can also be elaborated upon to explain which factors cause actors to behave in certain ways in the first place (i.e., the actor’s decision-making process). This represents further incorporation of the underresearched actor perspective into justice research (Scott et al., Reference Scott, Colquitt and Paddock2009).

Future Research Directions

The ACT model needs to be tested and can also be developed further in multiple ways.

Consistent with the body of research on affect’s role in the formation of organizational justice perceptions (Barsky & Kaplan, Reference Barsky and Kaplan2007), ACT might be advanced by examining the possibility of reciprocal relationships between sympathy and should counterfactuals, in which sympathy informs judgments of morality. Indeed, recent research suggests that even incidental emotions can influence moral judgments (Gawronski, Conway, Armstrong, Friesdorf, & Hütter, Reference Gawronski, Conway, Armstrong, Friesdorf and Hütter2018). In this way, it is possible that actors may experience spontaneous emotional reactions to a need (Weiner, Reference Weiner1985b), which then informs their moral cognitions in the form of should counterfactuals. For example, these spontaneous emotions may stem from moral dilemmas when the principles relevant to should counterfactuals conflict with each other (e.g., a moral obligation conflicting with a principle dictating organizational benefit). This internal emotional conflict could then inform an actor’s moral judgments in the form of should counterfactual thinking. Although ACT does acknowledge the existence of immediate affective responses, as in the case of would counterfactuals directly eliciting sympathy (Weiner, Reference Weiner1985a), future research may examine the scope and nature of these fast affective reactions in terms of their impact on counterfactual cognitions, perhaps in a feedback loop over time.

Also, future research may examine other affective reactions/mediators in addition to sympathy. As mentioned, fairness theory (Folger & Cropanzano, Reference Folger, Cropanzano and Greenberg2001) is fairly broad when noting that moral emotions may result from counterfactuals. Though this article drew on attribution theory (Weiner, Reference Weiner2006) to identify sympathy as the most crucial affective mediator, it is likely that other affective mediators may be operating in ACT as well. Of particular interest is empathy, which involves feeling what another is feeling (Gerdes, Reference Gerdes2011), rather than the awareness of another’s suffering that is characteristic of sympathy (Wispé, Reference Wispé1986). Given that empathy likely involves an actor’s own experiences (Werhane, Reference Werhane1998; Wispé, Reference Wispé1986), a future expansion of ACT might involve characteristics of an actor that predict his or her cognitions and emotions elicited by need characteristics. Past research in the justice literature has identified the role of a manager’s empathic concern in predicting interpersonal and informational justice (Patient & Skarlicki, Reference Patient and Skarlicki2010). Perhaps empathy may be a more relevant affective mediator in predicting the effect of actor characteristics on need norm use, whereas sympathy may be more apt to transmit the effect of need characteristics. Future research should examine these possibilities.

Additionally, there is potential for examining meaningful interactions between the counterfactuals outlined in this theory. For example, Brickman and colleagues (Reference Brickman, Rabinowitz, Karuza, Coates, Cohn and Kidder1982) distinguish between attributions of responsibility for problems and attributions of responsibility for solutions. This parallels ACT’s examination of 1) recipient conduct through could counterfactuals and 2) moral responsibility to address a need, a form of helping/solution, through should counterfactuals. In Brickman et al.’s model, attributions of a recipient’s responsibility for problems and for solutions interact in a 2 × 2 matrix to form four distinct models of helping (recipient responsible or not responsible for causing the problem crossed with recipient responsible or not responsible for solutions). These four models of helping are then thought to predict differential actor and recipient behaviors. In a similar way, future research may expand on ACT and investigate interactions between could and should counterfactuals, as they relate to predicting recipient and actor attitudes and behaviors regarding need norm use.

Future research might further examine the recipient–actor relationship by considering Rai and Fiske’s (Reference Rai and Fiske2011) relationship regulation theory. In this theory, need norm allocations are thought to spring from relationships where group members focus on commonalities and disregard individual identities (Giessner & Van Quaquebeke, Reference Giessner and Van Quaquebeke2010). These relationships are guided by the moral motive of unity, which “is directed toward caring for and supporting the integrity of in-groups through a sense of collective responsibility and common fate” (Rai & Fiske, Reference Rai and Fiske2011: 61). “In the context of fairness, people motivated by unity believe that goods should be shared freely without tracking and distributed based on need” (Rai, Reference Rai, Graham and Gray2018: 233). Thus need norm use may vary based on the extent to which the unity motive is present in an actor–recipient relationship. In other relationships, individuals compare themselves with others based on input–outcome ratio values (Fiske, Reference Fiske1992). According to relationship regulation theory, the moral motive operating in such relationships is proportionality. “In the context of fairness, people motivated by proportionality believe that goods should be distributed based on merit” (Rai, Reference Rai, Graham and Gray2018: 232). This is akin to the equity norm. Thus, from the perspective of this body of theory, need norm use is likely influenced by the nature of the relationship between an actor and a recipient, and ACT might be expanded to include these considerations. Indeed, this may only begin to scratch the surface of a complex subject, given that an actor and recipient may disagree on the nature of their relationship (i.e., they hold discrepant social-relational models). This may result in conflicting moral motives, should counterfactuals, and ultimately judgments (e.g., a recipient believes that a need norm is moral, while an actor believes an equity norm is moral; Brickman et al., Reference Brickman, Rabinowitz, Karuza, Coates, Cohn and Kidder1982; Leventhal, Reference Leventhal, Berkowitz and Walster1976a). Adding another layer of complexity, relationship regulation theory acknowledges the potential simultaneous existence of multiple moral motives in any given actor–recipient relationship (Rai & Fiske, Reference Rai and Fiske2011). This coincides with ACT’s acknowledgement of multiple principles potentially impacting should counterfactuals. Thus, rather than focusing on need norm use as an actor’s unilateral decision, inclusion of the relationship dynamics between the actor and the recipient (based on relationship regulation theory) brings the social-relational context to bear on ACT and represents a fruitful next step.

Acknowledgements

We thank the management faculties at Florida Gulf Coast University; California State University, Chico; and Portland State University for their insights and support. We also acknowledge the helpful feedback from two anonymous referees and associate editor Gary Weaver.

Joseph T. Liu (, corresponding author) is an assistant professor of management in the Lutgert College of Business at Florida Gulf Coast University. He received his PhD from the Scheller College of Business at the Georgia Institute of Technology. His research interests include organizational justice, ethics, human resource management, and management education.

Maria J. Mendez is an assistant professor in the Department of Management of California State University, Chico. Mendez’s research centers on shared leadership, although she has also published in the areas of followership, global leadership, and management education. She received a PhD in business administration from New Mexico State University.

References

REFERENCES

Adams, J. S. 1965. Inequity in social exchange. In Berkowitz, L. (Ed.), Advances in experimental social psychology, vol. 2: 267300. New York: Academic Press.Google Scholar
Amabile, T. M. 1983. The social psychology of creativity: A componential conceptualization. Journal of Personality and Social Psychology, 45(2): 357–76.CrossRefGoogle Scholar
Amabile, T. M. 1985. Motivation and creativity: Effects of motivational orientation on creative writers. Journal of Personality and Social Psychology, 48(2): 393–99.CrossRefGoogle Scholar
Baer, M., Frank, E. L., Matta, F. K., Luciano, M. M., & Wellman, N. 2020. Under trusted, over trusted, or just right? The fairness of (in)congruence between trust wanted and trust received. Academy of Management Journal. DOI: 10.5465/amj.2018.0334.CrossRefGoogle Scholar
Barrett, L. F., Tugade, M. M., & Engle, R. W. 2004. Individual differences in working memory capacity and dual-process theories of the mind. Psychological Bulletin, 130(4): 553–73.CrossRefGoogle ScholarPubMed
Barsky, A., & Kaplan, S. A. 2007. If you feel bad, it’s unfair: A quantitative synthesis of affect and organizational justice perceptions. Journal of Applied Psychology, 92(1): 286–95.CrossRefGoogle ScholarPubMed
Berkowitz, L. 1972. Social norms, feelings, and other factors affecting helping behavior. In Berkowitz, L. (Ed.), Advances in experimental social psychology, vol. 6: 63108. New York: Academic Press.Google Scholar
Berkowitz, L., & Connor, W. H. 1966. Success, failure, and social responsibility. Journal of Personality and Social Psychology, 4(6): 664–69.CrossRefGoogle Scholar
Berkowitz, L., & Daniels, L. R. 1963. Responsibility and dependency. Journal of Abnormal and Social Psychology, 66(5): 429–36.CrossRefGoogle Scholar
Berkowitz, L., & Daniels, L. R. 1964. Affecting the salience of the social responsibility norm: Effects of past help on the response to dependency relationships. Journal of Abnormal and Social Psychology, 68(3): 275–81.CrossRefGoogle ScholarPubMed
Berscheid, E., Graziano, W., Monson, T., & Dermer, M. 1976. Outcome dependency: Attention, attribution, and attraction. Journal of Personality and Social Psychology, 34(5): 978–89.CrossRefGoogle Scholar
Betancourt, H. 1990. An attribution-empathy model of helping behavior: Behavioral intentions and judgments of help-giving. Personality and Social Psychology Bulletin, 16(3): 573–91.CrossRefGoogle Scholar
Blader, S. L., & Rothman, N. B. 2014. Paving the road to preferential treatment with good intentions: Empathy, accountability and fairness. Journal of Experimental Social Psychology, 50: 6581.CrossRefGoogle Scholar
Brickman, P., Rabinowitz, V. C., Karuza, J., Coates, D., Cohn, E., & Kidder, L. 1982. Models of helping and coping. American Psychologist, 37(4): 368–84.CrossRefGoogle Scholar
Carretié, L. 2014. Exogenous (automatic) attention to emotional stimuli: A review. Cognitive, Affective, and Behavioral Neuroscience, 14(4): 1228–58.CrossRefGoogle ScholarPubMed
Colella, A. 2001. Coworker distributive fairness judgments of the workplace accommodation of employees with disabilities. Academy of Management Review, 26(1): 100116.CrossRefGoogle Scholar
Colquitt, J. A. 2001. On the dimensionality of organizational justice: A construct validation of a measure. Journal of Applied Psychology, 86(3): 386400.CrossRefGoogle Scholar
Colquitt, J. A., Conlon, D. E., Wesson, M. J., Porter, C. O., & Ng, K. Y. 2001. Justice at the millennium: A meta-analytic review of 25 years of organizational justice research. Journal of Applied Psychology, 86(3): 425–45.Google ScholarPubMed
Colquitt, J. A., Greenberg, J., & Zapata-Phelan, C. P. 2005. What is organizational justice? A historical overview. In Greenberg, J. & Colquitt, J. A. (Eds.), Handbook of organizational justice: 156. Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Colquitt, J. A., & Rodell, J. B. 2015. Measuring justice and fairness. In Cropanzano, R. & Ambrose, M. L. (Eds.), The Oxford handbook of justice in the workplace, vol. 1: 187202. New York: Oxford University Press.Google Scholar
Colquitt, J. A., Scott, B. A., Rodell, J. B., Long, D. M., Zapata, C. P., Conlon, D. E., & Wesson, M. J. 2013. Justice at the millennium, a decade later: A meta-analytic test of social exchange and affect-based perspectives. Journal of Applied Psychology, 98(2): 199236.CrossRefGoogle Scholar
Colquitt, J. A., & Zipay, K. P. 2015. Justice, fairness, and employee reactions. Annual Review of Organizational Psychology and Organizational Behavior, 2: 7599.CrossRefGoogle Scholar
Conlon, D. E., Porter, C. O., & Parks, J. M. 2004. The fairness of decision rules. Journal of Management, 30(3): 329–49.CrossRefGoogle Scholar
Cropanzano, R., Fortin, M., & Kirk, J. F. 2015. How do we know when we are treated fairly? Justice rules and fairness judgments. In Buckley, M. R., Halbesleben, J. R. B., & Wheeler, A. R. (Eds.), Research in personnel and human resources management, vol. 33: 279350. Bingley, UK: Emerald Group.CrossRefGoogle Scholar
Cropanzano, R., Massaro, S., & Becker, W. J. 2017. Deontic justice and organizational neuroscience. Journal of Business Ethics, 144(4): 733–54.Google Scholar
Cropanzano, R., Weiss, H. M., Suckow, K. J., & Grandey, A. A. 2000. Doing justice to workplace emotion. In Ashkanasy, N. M., Härtel, C. E., & Zerbe, W. J. (Eds.), Emotions in the workplace: Research, theory, and practice: 4962. Westport, CT: Quorum Books/Greenwood.Google Scholar
Deutsch, M. 1975. Equity, equality, and need: What determines which value will be used as the basis of distributive justice? Journal of Social Issues, 31(3): 137–49.CrossRefGoogle Scholar
Ebneter, D. S., Latner, J. D., & O’Brien, K. S. 2011. Just world beliefs, causal beliefs, and acquaintance: Associations with stigma toward eating disorders and obesity. Personality and Individual Differences, 51(5): 618–22.CrossRefGoogle Scholar
Feather, N. T. 1999. Judgments of deservingness: Studies in the psychology of justice and achievement. Personality and Social Psychology Review, 3(2): 86107.CrossRefGoogle ScholarPubMed
Feldman, R. E. 1968. Response to compatriot and foreigner who seek assistance. Journal of Personality and Social Psychology, 10(3): 202–14.CrossRefGoogle Scholar
Festinger, L. 1957. A theory of cognitive dissonance. Evanston, IL: Row-Peterson.CrossRefGoogle Scholar
Fiske, A. P. 1992. The four elementary forms of sociality: Framework for a unified theory of social relations. Psychological Review, 99(4): 689723.CrossRefGoogle ScholarPubMed
Fiske, S. T., & Taylor, S. E. 2013. Social cognition: From brains to culture. Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
Foa, E. B., & Foa, U. G. 2012. Resource theory of social exchange. In Tornblom, K. & Kazemi, A. (Eds.), Handbook of social resource theory: Theoretical extensions, empirical insights, and social applications: 1532. New York: Springer.Google Scholar
Foa, U. G., & Foa, E. B. 1980. Resource theory: Interpersonal behavior as exchange. In , K. J. Gergen, M. S. Greenberg, , & , R. H. Willis, (Eds.), Social exchange: Advances in theory and research: 7794. New York: Plenum.Google Scholar
Folger, R. 1994. Workplace justice and employee worth. Social Justice Research, 7(3): 225–40.CrossRefGoogle Scholar
Folger, R. 1998. Fairness as a moral virtue. In Schminke, M. (Ed.), Managerial ethics: Moral management of people and processes: 1334. Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Folger, R. G., & Cropanzano, R. 1998. Organizational justice and human resource management. Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
Folger, R., & Cropanzano, R. 2001. Fairness theory: Justice as accountability. In Greenberg, J. (Ed.), Advances in organizational justice, vol. 1: 155. Stanford, CA: Stanford University Press.Google Scholar
Folger, R., Cropanzano, R., & Goldman, B. 2005. What is the relationship between justice and morality? In Greenberg, J. & Colquitt, J. A. (Eds.), Handbook of organizational justice: 215–45. Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Gawronski, B., Conway, P., Armstrong, J., Friesdorf, R., & Hütter, M. 2018. Effects of incidental emotions on moral dilemma judgments: An analysis using the CNI model. Emotion, 18(7): 9891008.CrossRefGoogle ScholarPubMed
Gerdes, K. E. 2011. Empathy, sympathy, and pity: 21st-century definitions and implications for practice and research. Journal of Social Service Research, 37(3): 230–41.CrossRefGoogle Scholar
Gersick, C. J. G. 1991. Revolutionary change theories: A multilevel exploration of the punctuated equilibrium paradigm. Academy of Management Review, 16(1): 1036.CrossRefGoogle Scholar
Giessner, S., & Van Quaquebeke, N. 2010. Using a relational models perspective to understand normatively appropriate conduct in ethical leadership. Journal of Business Ethics, 95(1): 4355.CrossRefGoogle Scholar
Goffman, E. 1963. Stigma: Notes on the management of spoiled identity. New York: Prentice Hall.Google Scholar
Graen, G. B., & Uhl-Bien, M. 1995. Relationship-based approach to leadership: Development of leader-member exchange (LMX) theory of leadership over 25 years: Applying a multi-level multi-domain perspective. Leadership Quarterly, 6(2): 219–47.CrossRefGoogle Scholar
Gray, K., & Wegner, D. M. 2011. Dimensions of moral emotions. Emotion Review, 3(3): 258–60.CrossRefGoogle Scholar
Greenberg, J. 1987. A taxonomy of organizational justice theories. Academy of Management Review, 12(1): 922.Google Scholar
Harvey, P., Madison, K., Martinko, M., Crook, T. R., & Crook, T. A. 2014. Attribution theory in the organizational sciences: The road traveled and the path ahead. Academy of Management Perspectives, 28(2): 128–46.CrossRefGoogle Scholar
He, W., Chen, C. C., & Zhang, L. 2004. Rewards-allocation preferences of Chinese employees in the new millennium: The effects of ownership reform, collectivism, and goal priority. Organization Science, 15(2): 221–31.Google Scholar
Johns, G. 2001. In praise of context. Journal of Organizational Behavior, 22(1): 3142.CrossRefGoogle Scholar
Johns, G. 2006. The essential impact of context on organizational behavior. Academy of Management Review, 31(2): 386408.CrossRefGoogle Scholar
Johnson, R. E., Lanaj, K., & Barnes, C. M. 2014. The good and bad of being fair: Effects of procedural and interpersonal justice behaviors on regulatory resources. Journal of Applied Psychology, 99(4): 635–50.CrossRefGoogle ScholarPubMed
Joseph, B., Walker, A., & Fuller-Tyszkiewicz, M. 2018. Evaluating the effectiveness of employee assistance programmes: A systematic review. European Journal of Work and Organizational Psychology, 27(1): 115.CrossRefGoogle Scholar
Kanfer, R., & Ackerman, P. L. 1989. Motivation and cognitive abilities: An integrative/aptitude-treatment interaction approach to skill acquisition. Journal of Applied Psychology, 74(4): 657–90.CrossRefGoogle Scholar
Kelley, H. H. 1967. Attribution theory in social psychology. In Levine, D. (Ed.), Nebraska Symposium on Motivation, 1967. Lincoln: University of Nebraska Press.Google Scholar
Kelley, H. H. 1973. The processes of causal attribution. American Psychologist, 28(2): 10728.CrossRefGoogle Scholar
Kelley, H. H., & Michela, J. L. 1980. Attribution theory and research. Annual Review of Psychology, 31(1): 457501.Google ScholarPubMed
Kim, K. I., Park, H. J., & Suzuki, N. 1990. Reward allocations in the United States, Japan, and Korea: A comparison of individualistic and collectivistic cultures. Academy of Management Journal, 33(1): 188–98.CrossRefGoogle Scholar
Kinnick, K. N., Krugman, D. M., & Cameron, G. T. 1996. Compassion fatigue: Communication and burnout toward social problems. Journalism and Mass Communication Quarterly, 73: 687707.CrossRefGoogle Scholar
Lamm, H., & Schwinger, T. 1980. Norms concerning distributive justice: Are needs taken into consideration in allocation decisions? Social Psychology Quarterly, 43: 425–29.CrossRefGoogle Scholar
Leung, K., Chiu, W.-H., & Au, Y. 1993. Sympathy and support for industrial actions: A justice analysis. Journal of Applied Psychology, 78(5): 781–87.CrossRefGoogle ScholarPubMed
Leventhal, G. S. 1976a. The distribution of rewards and resources in groups and organizations. In Berkowitz, L. & Walster, E. (Eds.), Advances in experimental social psychology, vol. 9: 91131. New York: Academic Press.Google Scholar
Leventhal, G. S. 1976b. Fairness in social relationships. In , J. W. Thibaut, , , J. T. Spence, , & , R. C. Carson, (Eds.), Contemporary topics in social psychology: 211–40. Morristown, NJ: General Learning Press.Google Scholar
Leventhal, G. S. 1980. What should be done with equity theory? In , K. J. Gergen, , , M. S. Greenberg, , & , R. H. Willis, (Eds.), Social exchange: Advances in theory and research: 2755. New York: Plenum Press.CrossRefGoogle Scholar
Leventhal, G. S., Karuza, J., & Fry, W. R. 1980. Beyond fairness: A theory of allocation preferences. In Mikula, G. (Ed.), Justice and social interaction, vol. 3: 167218. New York: Springer.Google Scholar
Lind, E. A., & Van den Bos, K. 2002. When fairness works: Toward a general theory of uncertainty management. In Staw, B. M. & Kramer, R. M. (Eds.), Research in organizational behavior, vol. 24: 181223. Greenwich, CT: JAI Press.Google Scholar
Major, B., & O’Brien, L. T. 2005. The social psychology of stigma. Annual Review of Psychology, 56: 393421.CrossRefGoogle ScholarPubMed
Mannix, E. A., Neale, M. A., & Northcraft, G. B. 1995. Equity, equality, or need? The effects of organizational culture on the allocation of benefits and burdens. Organizational Behavior and Human Decision Processes, 63(3): 276–86.CrossRefGoogle Scholar
Mantler, J., Schellenberg, E. G., & Page, J. S. 2003. Attributions for serious illness: Are controllability, responsibility and blame different constructs? Canadian Journal of Behavioural Science, 35(2): 142–52.CrossRefGoogle Scholar
Markham, S. E., Scott, K., & McKee, G. 2002. Recognizing good attendance: A longitudinal, quasi‐experimental field study. Personnel Psychology, 55(3): 639–60.CrossRefGoogle Scholar
Markman, K. D., Lindberg, M. J., Kray, L. J., & Galinsky, A. D. 2007. Implications of counterfactual structure for creative generation and analytical problem solving. Personality and Social Psychology Bulletin, 33(3): 312–24.CrossRefGoogle ScholarPubMed
Martin, J., & Harder, J. W. 1994. Bread and roses: Justice and the distribution of financial and socioemotional rewards in organizations. Social Justice Research, 7(3): 241–64.CrossRefGoogle Scholar
Martin, R., Guillaume, Y., Thomas, G., Lee, A., & Epitropaki, O. 2016. Leader–member exchange (LMX) and performance: A meta‐analytic review. Personnel Psychology, 69(1): 67121.CrossRefGoogle Scholar
Martinko, M. J., Harvey, P., & Dasborough, M. T. 2011. Attribution theory in the organizational sciences: A case of unrealized potential. Journal of Organizational Behavior, 32(1): 144–49.CrossRefGoogle Scholar
Martinko, M. J., & Thomson, N. F. 1998. A synthesis and extension of the Weiner and Kelley attribution models. Basic and Applied Social Psychology, 20(4): 271–84.CrossRefGoogle Scholar
McLaughlin, M. E., Bell, M. P., & Stringer, D. Y. 2004. Stigma and acceptance of persons with disabilities: Understudied aspects of workforce diversity. Group and Organization Management, 29(3): 302–33.Google Scholar
McLean Parks, J., Conlon, D. E., Ang, S., & Bontempo, R. 1999. The manager giveth, the manager taketh away: Variation in distribution/recovery rules due to resource type and cultural orientation. Journal of Management, 25(5): 723–57.CrossRefGoogle Scholar
Neuberg, S. L., Smith, D. M., Hoffman, J. C., & Russell, F. J. 1994. When we observe stigmatized and “normal” individuals interacting: Stigma by association. Personality and Social Psychology Bulletin, 20(2): 196209.CrossRefGoogle Scholar
Nicklin, J. M. 2013. Expertise, counterfactual thinking, and fairness perceptions: A test of fairness theory. Social Justice Research, 26(1): 4260.CrossRefGoogle Scholar
Nicklin, J. M., Greenbaum, R., McNall, L. A., Folger, R., & Williams, K. J. 2011. The importance of contextual variables when judging fairness: An examination of counterfactual thoughts and fairness theory. Organizational Behavior and Human Decision Processes, 114(2): 127–41.CrossRefGoogle Scholar
Patient, D. L., & Skarlicki, D. P. 2010. Increasing interpersonal and informational justice when communicating negative news: The role of the manager’s empathic concern and moral development. Journal of Management, 36(2): 555–78.Google Scholar
Perloff, R. 1987. Self-interest and personal responsibility redux. American Psychologist, 42(1): 311.CrossRefGoogle Scholar
Poepsel, D. L., & Schroeder, D. A. 2013. Joining groups: How resources are to be divided matters. Group Dynamics: Theory, Research, and Practice, 17(3): 180–93.CrossRefGoogle Scholar
Rahim, M. A., Magner, N. R., & Shapiro, D. L. 2000. Do justice perceptions influence styles of handling conflict with supervisors? What justice perceptions, precisely? International Journal of Conflict Management, 11(1): 931.CrossRefGoogle Scholar
Rai, T. S. 2018. Relationship regulation theory. In Graham, J. & Gray, K. (Eds.), Atlas of moral psychology: 231–40. New York: Guilford Press.Google Scholar
Rai, T. S., & Fiske, A. P. 2011. Moral psychology is relationship regulation: Moral motives for unity, hierarchy, equality, and proportionality. Psychological Review, 118(1): 5775.CrossRefGoogle ScholarPubMed
Reisenzein, R. 1986. A structural equation analysis of Weiner’s attribution—Affect model of helping behavior. Journal of Personality and Social Psychology, 50(6): 1123–33.CrossRefGoogle Scholar
Rothman, K. J. 2012. Epidemiology: An introduction (2nd ed.). New York: Oxford University Press.Google Scholar
Rousseau, D. M., & Fried, Y. 2001. Location, location, location: Contextualizing organizational research. Journal of Organizational Behavior, 22(1): 113.CrossRefGoogle Scholar
Rupp, D. E., Shapiro, D. L., Folger, R., Skarlicki, D. P., & Shao, R. 2017. A critical analysis of the conceptualization and measurement of organizational justice: Is it time for reassessment? Academy of Management Annals, 11(2): 919–59.CrossRefGoogle Scholar
Sabat, I. E., Lindsey, A. P., Membere, A., Anderson, A., Ahmad, A., King, E., & Bolunmez, B. 2014. Invisible disabilities: Unique strategies for workplace allies. Industrial and Organizational Psychology, 7(2): 259–65.CrossRefGoogle Scholar
Santuzzi, A. M., Waltz, P. R., Finkelstein, L. M., & Rupp, D. E. 2014. Invisible disabilities: Unique challenges for employees and organizations. Industrial and Organizational Psychology, 7(2): 204–19.CrossRefGoogle Scholar
Schmidt, G., & Weiner, B. 1988. An attribution-affect-action theory of behavior: Replications of judgments of help-giving. Personality and Social Psychology Bulletin, 14(3): 610–21.CrossRefGoogle Scholar
Schwartz, S. 1975. The justice of need and the activation of humanitarian norms. Journal of Social Issues, 31(3): 111–36.CrossRefGoogle Scholar
Scott, B. A., Colquitt, J. A., & Paddock, E. L. 2009. An actor-focused model of justice rule adherence and violation: The role of managerial motives and discretion. Journal of Applied Psychology, 94(3): 756–69.CrossRefGoogle ScholarPubMed
Scott, B. A., Garza, A. S., Conlon, D. E., & Kim, Y. J. 2014. Why do managers act fairly in the first place? A daily investigation of “hot” and “cold” motives and discretion. Academy of Management Journal, 57(6): 1571–91.CrossRefGoogle Scholar
Serences, J. T., & Yantis, S. 2007. Spatially selective representations of voluntary and stimulus-driven attentional priority in human occipital, parietal, and frontal cortex. Cerebral Cortex, 17(2): 284–93.CrossRefGoogle ScholarPubMed
Skarlicki, D. P., & Kulik, C. T. 2004. Third-party reactions to employee (mis) treatment: A justice perspective. Research in Organizational Behavior, 26: 183229.CrossRefGoogle Scholar
Skitka, L. J., & Tetlock, P. E. 1992. Allocating scarce resources: A contingency model of distributive justice. Journal of Experimental Social Psychology, 28(6): 491522.CrossRefGoogle Scholar
Slaughter, J. E., Cable, D. M., & Turban, D. B. 2014. Changing job seekers’ image perceptions during recruitment visits: The moderating role of belief confidence. Journal of Applied Psychology, 99(6): 1146–58.CrossRefGoogle ScholarPubMed
Son Hing, L. S., Bobocel, D. R., & Zanna, M. P. 2002. Meritocracy and opposition to affirmative action: Making concessions in the face of discrimination. Journal of Personality and Social Psychology, 83(3): 493509.CrossRefGoogle ScholarPubMed
Stone, D. L., & Colella, A. 1996. A model of factors affecting the treatment of disabled individuals in organizations. Academy of Management Review, 21(2): 352401.CrossRefGoogle Scholar
Sutton, R. I., & Staw, B. M. 1995. What theory is not. Administrative Science Quarterly, 40(3): 371–84.CrossRefGoogle Scholar
Sweeny, K. 2008. Crisis decision theory: Decisions in the face of negative events. Psychological Bulletin, 134(1): 6176.CrossRefGoogle Scholar
Swider, B. W., Liu, J. T., Harris, T. B., & Gardner, R. G. 2017. Employees on the rebound: Extending the careers literature to include boomerang employment. Journal of Applied Psychology, 102(6): 890909.CrossRefGoogle ScholarPubMed
Tepper, B. J., Duffy, M. K., Henle, C. A., & Lambert, L. S. 2006. Procedural injustice, victim precipitation, and abusive supervision. Personnel Psychology, 59(1): 101–23.CrossRefGoogle Scholar
Törnblom, K., & Kazemi, A. 2015. Distributive justice: Revisiting past statements and reflecting on future prospects. In Cropanzano, R. & Ambrose, M. L. (Eds.), The Oxford handbook of justice in the workplace: 1550. New York: Oxford University Press.Google Scholar
Webb Day, J. W., Holladay, C. L., Johnson, S. K., & Barron, L. G. 2014. Organizational rewards: Considering employee need in allocation. Personnel Review, 43(1): 7495.CrossRefGoogle Scholar
Weick, K. E. 1995. What theory is not, theorizing is. Administrative Science Quarterly, 40(3): 385–90.CrossRefGoogle Scholar
Weiner, B. 1979. A theory of motivation for some classroom experiences. Journal of Educational Psychology, 71(1): 325.CrossRefGoogle ScholarPubMed
Weiner, B. 1980. A cognitive (attribution)-emotion-action model of motivated behavior: An analysis of judgments of help-giving. Journal of Personality and Social Psychology, 39(2): 186200.CrossRefGoogle Scholar
Weiner, B. 1985a. An attributional theory of achievement motivation and emotion. Psychological Review, 92(4): 548–73.CrossRefGoogle ScholarPubMed
Weiner, B. 1985b. “Spontaneous” causal thinking. Psychological Bulletin, 97(1): 7484.Google ScholarPubMed
Weiner, B. 2006. Social motivation, justice, and the moral emotions: An attributional approach. Mahwah, NJ: Lawrence Erlbaum.Google Scholar
Weiner, B. 2010. Attribution theory. In Weiner, I. B. & Craighead, W. E. (Eds.), Corsini encyclopedia of psychology, vol. 4: 12. Hoboken, NJ: John Wiley.CrossRefGoogle Scholar
Weiner, B. 2012. An attribution theory of motivation. In Van Lange, P. A. M., Kruglanski, A. W., & Higgins, E. T. (Eds.), Handbook of theories of social psychology, vol. 1: 135–55. Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
Werhane, P. H. 1998. Moral imagination and the search for ethical decision-making in management. Business Ethics Quarterly, 8: 7598.CrossRefGoogle Scholar
Wispé, L. 1986. The distinction between sympathy and empathy: To call forth a concept, a word is needed. Journal of Personality and Social Psychology, 50(2): 314–21.CrossRefGoogle Scholar
Figure 0

Figure 1: The Attributional–Counterfactual Theory of Need (ACT)