Hostname: page-component-78c5997874-m6dg7 Total loading time: 0 Render date: 2024-11-13T02:54:21.231Z Has data issue: false hasContentIssue false

Neurodiversity in the workplace: Considering neuroatypicality as a form of diversity

Published online by Cambridge University Press:  09 March 2023

Rose LeFevre-Levy*
Affiliation:
Department of Psychology, The University of Georgia, Athens, GA, USA
Arturia Melson-Silimon
Affiliation:
Department of Psychology, The University of Georgia, Athens, GA, USA
Rebecca Harmata
Affiliation:
Department of Psychology, The University of Georgia, Athens, GA, USA
Anna L. Hulett
Affiliation:
Booz Allen Hamilton, Washington, DC, USA
Nathan T. Carter
Affiliation:
Department of Psychology, Michigan State University, Lansing, MI, USA
*
*Corresponding author: Rose LeFevre-Levy, email: rose.lefevrelevy@uga.edu
Rights & Permissions [Opens in a new window]

Abstract

Estimates suggest as much as 17% of the US workforce may be neuroatypical, a term used to describe individuals whose neurological functioning is at the tail ends of the distribution of naturally occurring variation. Although the neuroatypical population has a history of under- and unemployment, their inclusion in the modern workplace (i.e., promotion of neurodiversity within organizations) is gaining recognition by scholars and organizations as an important dimension of organizational diversity. Despite this burgeoning interest in examining neuroatypicality in the context of organizational diversity, surprisingly little research has been conducted that bridges these two research areas. The literature that does exist is scattered across several different academic disciplines, largely outside of industrial-organizational psychology, and rarely examines the employment of neuroatypical workers explicitly from a diversity perspective. In this article we argue that as the nature of work evolves and jobs continue to become more specialized, neurodiversity will become an increasingly relevant dimension of organizational diversity and is likely to play a key role both in terms of individual employees’ well-being and performance outcomes, as well as organizational success.

Type
Focal Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the Society for Industrial and Organizational Psychology

Neurodiversity is a term used to describe the naturally occurring variation in neurological wiring within the human population. As much as 17% of the US workforce may be neuroatypical (CIPD, 2018; Sargent, Reference Sargent2019), a term used to describe individuals whose neurological functioning is at the tail ends of the distribution of this naturally occurring variation. Although the term neuroatypical, often used interchangeably with the term neurodivergent, can be used to describe people with a number of different neurological disabilities, it is most often used to refer to individuals living with autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), or dyslexia.

Despite estimates that suggest neuroatypical individuals make up a significant portion of the potential workforce, there has been surprisingly little research in industrial-organizational (I-O) psychology regarding neurodiversity in the workplace. Although research exploring minority group experiences along racial, gender, and sexual orientation diversity dimensions continues to grow, little research exists to illuminate the experiences of individuals who are minorities along the neurodiversity spectrum (i.e., neuroatypical individuals or neurominority members). Even less research exists to explain the antecedents and outcomes associated with workplace neurodiversity. Trends in the applied world suggest research is sorely lagging behind practice. There are a number of well-known companies, such as SAP, Microsoft, Goldman Sachs, Google, IBM, JP Morgan Chase, and Hewlett Packard Enterprise, that have started large-scale programs to recruit and employ neuroatypical workers, claiming several benefits including increased organizational performance (Austin & Pisano, Reference Austin and Pisano2017; Moran, Reference Moran2019). Despite this emphasis in practice, little research has been conducted in academic circles to help us understand the individual- or organization-level antecedents and outcomes associated with neurodiversity in the workplace.

In this focal article, we argue that along with continued automation and the resulting changing nature of work, neurodiversity will become an increasingly relevant dimension of diversity and is likely to play a key role both in individual employees’ well-being and performance outcomes, as well as organizational success. First, we provide background on neuroatypicality and the neurodiversity movement. Second, we discuss why we believe neurodiversity will become an increasingly important component of organizations’ diversity initiatives. Third, we discuss how neurodiversity, as a dimension of diversity, is similar or dissimilar to other commonly studied dimensions of diversity in organizations (e.g., racial, gender, sexual orientation diversity). Along the way, we provide researchers with a number of substantive avenues in the area of neurodiversity that we believe will be fruitful for research and discuss the implications of neurodiversity for organizations.

Neuroatypicality and the neurodiversity movement: Disability or difference?

The terms neuroatypical, neurodivergent, and neurodiversity are relatively new. It is only within the past several decades that scholars within the realms of various academic domains (e.g., educational psychology, sociology, disability studies) have started using these terms. Previously, neuroatypical individuals (i.e., individuals with ASD, ADHD, and dyslexia) would have been described as having a neurological disorder or an intellectual/developmental disability. In the context of the workplace, such labels are likely to quickly raise questions regarding individuals’ ability to successfully integrate into and add value to the organization.

Even though the Americans with Disabilities Act (ADA) prohibits organizations from discriminating against qualified individuals based on disability status during the selection process, it does not require companies to specifically recruit people with disabilities. Without a legal imperative or incentivization, in tandem with the lack of research on neuroatypicality in the workplace, organizations may be left asking questions like, why would we want to actively seek out individuals with “intellectual disabilities” to work in high level positions? Why would organizations care about neurodiversity and make it an essential component of their diversity agenda? In the following sections we discuss the implications of neurodiversity for the workplace, beginning with an overview of the neurodiversity movement and describing the movement’s role in shifting societal views from a focus on intellectual disability to a focus on the value of neurological difference.

The neurodiversity movement

The neurodiversity movement can be traced back to the autism spectrum rights movement of the late 1990s. Although the exact origin of the term neurodiversity is unclear, it is widely cited as being coined either by sociologist Judy Singer in her 1998 book chapter on disability or by Atlantic staff writer, Harvey Blume, in a 1998 article entitled “Neurodiversity: On the Neurological Underpinnings of Geekdom.” Whatever the exact origin of the term, the concept behind the neurodiversity movement, the idea that differences in neurological functioning are a part of naturally occurring human variation, was quickly adopted by other groups traditionally pathologized for having neurological functioning considered outside of the “norm.” The term is now used in the context of a number of different neurologically based disabilities ranging from ASD to anxiety. The emergence of the movement was profound for disability rights advocates as it marked the beginning of a paradigm shift regarding the way neurologically based disabilities are seen, bringing to the forefront the importance of recognizing the strengths instead of just the weaknesses associated with neurological differences.

The neurodiversity movement and the medical and social models of disability

At the core of the neurodiversity movement is a fundamental shift in the lens through which neurologically based disabilities are viewed. Specifically, the neurodiversity movement calls for a shift away from the traditional medical model of disability toward the social model of disability. The medical model of disability is a paradigm that categorizes disability as something internal to the individual, something in need of remediation that needs to be “fixed” (Areheart, Reference Areheart2008). For example, under the medical model, the solution to helping someone in a wheelchair would be to offer them treatments and therapies that would allow them to regain the ability to walk, thus allowing them the conventional mode of mobility (Comberousse, Reference Comberousse2019). Research suggests the medical model of disability casts a negative light on disability and can prevent individuals from developing a positive disability identity and self-efficacy (Hahn & Belt, Reference Hahn and Belt2004; Weeber, Reference Weeber2004)

In contrast, the social model of disability recognizes disability as a social construct. As such, the social model tends to provide individuals with disabilities a greater sense of self-worth and agency. In other words, it is not the pattern of functioning itself that is inherently a trait of disability; rather, it is the comparison of that functioning with what society has deemed “normal” that leads to categorizing individuals as “abled” or “disabled.” Under the social model, the concept of disability “stems largely from society’s failure to accommodate varying needs” (Comberousse, Reference Comberousse2019; para. 6). As such, the solution is for society to make accommodations for these varying needs by, for example, making ramps and elevators easily accessible to those in wheelchairs. By implementing such accommodations, someone who was previously “disabled” by the constraints of societal norms around mobility has gained a significant degree of mobility essentially overnight.

Under the lens of the social model, the same level of functioning could be either pathologized by others as abnormal or seen as part of the naturally occurring variation, depending on the social and societal context. In fact, Dr. Thomas Armstrong (Reference Armstrong2010), author of The Power of Neurodiversity, suggests that the same individual may be pathologized for their neuroatypicality in one societal context while being considered gifted in another, depending on the environmental niche in which they have found themselves. Indeed, our categorization of what is “abnormal” is shaped by societal context and values. This becomes particularly clear when we consider cultural and historical differences in what has been categorized as mental illness. For example, “homosexuality” was considered a psychological disorder until the 1970s (Drescher, Reference Drescher2015; Silverstein, Reference Silverstein2009). Similarly, psychiatrists have suggested that in the past individuals with schizophrenia may have been treated as revered religious figures (Murray et al., Reference Murray, Cunningham and Price2012). As such, the social model suggests that the extent to which variation in neurological functioning is seen as a difference (i.e., neurodiversity) versus a deficit (i.e., disability) is going to depend on context. However, western culture is still largely dominated by the medical model of disability (Areheart, Reference Areheart2008), and, as a result, proponents of the neurodiversity movement have argued that neurological differences are all too often treated as a disorder rather than as a naturally occurring variation (Armstrong, Reference Armstrong2010; Singer, Reference Singer2017).

Despite this, the neurodiversity movement is not without its detractors. Opponents have criticized the movement for its focus on individuals who are “high functioning,” suggesting that viewing neurological conditions as a difference rather than a disorder/disability overlooks the real suffering that some individuals with neurological conditions and their families experience (Chapman, Reference Chapman, Tekin and Bluhm2019). Such concerns are particularly prevalent in the autism community, in which there is a divide between those who are “pro cure” and those who are “pro autistic” (i.e., those who are for versus against medicalizing autism; Ortega, Reference Ortega2009). Certainly, it seems valid for neuroatypical individuals and their families to be concerned that framing neurological conditions as differences rather than disorders may paint these conditions in too positive a light. However, proponents of the neurodiversity movement recognize the suffering that can accompany neurological disorders, and most are not against treatments or accommodations to help individuals function more easily in the world in which we live. For example, high functioning autist Judy Singer argues for treatment as needed to alleviate suffering but is against the movement to “cure” autism altogether (Ortega, Reference Ortega2009).

It is important to note that the medical and social models of disability are not inherently at odds. It is more than possible to provide neuroatypical individuals with ameliorative interventions while still recognizing neuroatypicality as a natural part of human variation with positive aspects to it (Kapp et al., Reference Kapp, Gillespie-Lynch, Sherman and Hutman2013). The authors of this paper acknowledge that the medical model of disability may be beneficial in instances where an individual is suffering, and this suffering is, at least in part, a direct result of their disability (e.g., chronic pain, mental illness) rather than exclusively due to the societal response to their disability. We also believe this to be true in the context of the neuroatypical population. An individual with dyslexia, for example, will likely benefit from receiving tailored support developing their reading skills. However, what will become clear during the course of the present paper is that we are wary of the use of the medical model to pathologize conditions at the detriment of recognizing individuals’ potential strengths.

Implications of the neurodiversity movement for the workplace

The social model underpins much of the ideology behind the neurodiversity movement, and, as such, the neurodiversity movement has several implications for how neuroatypicality is viewed in the workplace. First, and most obvious, the framework of the neurodiversity movement allows divergent neurological profiles to be seen as differences rather than impairment, encouraging organizations to view variation in neurological functioning as a dimension of workplace diversity similar to that of racial or gender diversity (Saner, Reference Saner2007).

Second, labeling neuroatypical individuals as different rather than impaired opens up the possibility that these individuals are, rather than being inherently deficient in some way, simply suited to different environmental niches or skill sets as compared to their neurotypical counterparts. Indeed, interest is growing, both in the applied world (Neurodiverse Hiring, n.d.) and in the popular press (Doyle, Reference Doyle2019; Moran, Reference Moran2019) in understanding how neuroatypical individuals’ differently wired brains might, in fact, be advantageous under the right workplace conditions.

Neurodiversity: An essential dimension of organizational diversity?

As the neurodiversity movement has grown, so too has organizational interest in this type of diversity. As stated previously, a number of large-scale companies have incorporated neurodiversity into their diversity agenda (Austin & Pisano, Reference Austin and Pisano2017; HOK, n.d.). Certainly, progressive organizations may be motivated to do this as a way of promoting greater workplace inclusivity; however, we believe that the motivation to foster a neurodiverse workforce goes beyond social conscience. In the following sections we discuss why we believe that as the nature of work evolves and jobs continue to become more specialized, neurodiversity will become an increasingly relevant dimension of organizational diversity.

A competitive advantage? The changing nature of work and the business case for neurodiversity

The nature of work is quickly changing, and organizations are realizing that neurodiversity may be a key component of gaining a competitive edge in the new work environment. As technological advances are made and globalization increases, routine and low-skill jobs are becoming less prevalent in the United States (Autor et al., Reference Autor, Levy and Murnane2003, Reference Autor, Katz and Kearney2006; Becker et al., Reference Becker, Ekholm and Muendler2013). In contrast, the proportion of jobs requiring specialized skills and higher order thinking has increased markedly (Autor et al., Reference Autor, Levy and Murnane2003; Neubert et al., Reference Neubert, Mainert, Kretzschmar and Greiff2015).

Meta-analytic research on the changing nature of work suggests that, due to the expansion of the knowledge economy, the number of jobs that require greater skill variety (i.e., jobs that require “the use of a number of different skills and talents of the employee”; Hackman & Oldham, Reference Hackman and Oldham1975, p. 161) have increased significantly since the 1970s (Wegman et al., Reference Wegman, Hoffman, Carter, Twenge and Guenole2018).

As a result of these changes, there has been an overall shift in the types of competencies organizations are looking for in their employees. According to researchers, the top five job skills in 2025 will consist of analytical thinking and innovation, active learning, complex problem-solving, critical thinking and analysis, and creativity (World Economic Forum, 2020). Other skills and abilities previously important are on the decline including rote memory skills and time management (EY, 2019). In other words, key organizational outcomes, such as performance, are increasingly dependent on employing workers who can “create” rather than just “do.”

Proponents of the neurodiversity movement claim that neuroatypical individuals are uniquely well suited to the workplace of the future. Specifically, it has been suggested that with increased technological advancement and automation, skills and abilities with which many neuroatypical individuals struggle (e.g., spelling, ability to read quickly, rote memory, organizational skills, etc.) are becoming less important in the workplace, whereas those associated with some of the strengths of neuroatypical individuals (e.g., novel thinking, creativity, computer coding, and scientific thinking) are becoming more important. As neurodiversity advocate Thomas G. West put it, “[m]achines are now doing the reading and recall and clerical tasks… [r]ather, humans need to visualize, see the big picture, consider slowly and ponder what it all means, where to go and how to get there.” (Dyslexia Association of Singapore, 2015, YouTube clip). These are the conditions, he goes on to assert, in which neuroatypical individuals thrive.

Those in the applied sector echo the sentiments of neurodiversity proponents, reporting that neuroatypical individuals have unique talents that, when matched appropriately with job competencies, can actually be a source of top talent that exceeds that of the neurotypical population (Pisano & Austin, Reference Pisano and Austin2016). According to Justine Campbell, talent managing partner at Ernest & Young LLP, “[a]ttracting neurodiverse talent… provides an opportunity for organizations to harness the fullest range of skills and perspectives. Our business looks to diversity of thought to remain competitive, continuously innovate and drive better business performance” (Pisano & Austin, Reference Pisano and Austin2016, pp. 96–103). In the following sections we will discuss in more detail the potential organizational advantages of incorporating neuroatypical talent into the workplace.

The neurodiversity advantage: Innovation, problem-solving, and creativity

There are several possible explanations for how organizational neurodiversity may increase innovation, problem-solving, creativity, and ultimately organizational performance. For one, it may be that simply having different perspectives, including both neurotypical and neuroatypcial viewpoints, spurs innovation, allowing teams or organizations to realize new ways of doing things. Indeed, previous work suggests that diversity, especially when job relevant, may lead to increased team performance and innovation within teams via the incorporation of different perspectives and a wider breadth of knowledge (Cox, Reference Cox1994; Horwitz & Horwitz, Reference Horwitz and Horwitz2007; Hülsheger et al., Reference Hülsheger, Anderson and Salgado2009; Watson et al., Reference Watson, Kumar and Michaelson1993).

Another explanation is that certain groups of neuroatypical individuals actually have some advantages when it comes to innovation, problem-solving, and/or creativity in certain disciplines because of the unique way their brains are wired. This explanation, which we will refer to as the neurodiversity perspective, suggests that neuroatypical individuals who are successful in their careers are able to excel at work, at least in part, because of their neuroatypicality. This is in contrast to what we refer to as the compensatory perspective, a perspective grounded in the traditional medical model of disability, that proposes that neuroatypicals who excel at work do so in spite of their atypicality. In the following subsections we discuss evidence supporting the neurodiversity perspective for each of the following neurological conditions: ASD, ADHD, and dyslexia. In doing so, we will talk about the current research regarding the potential workplace strengths associated with each of these forms of neuroatypicality (see Table 1 for summary).

Table 1. Strengths and Challenges of the Neuroatypical Worker

Strengths of autism spectrum disorder in the workplace

Autism spectrum disorder is a neurodevelopmental difference characterized by several traits routinely viewed by society as “deficits.” These include difficulty with social interactions, engaging in repetitive behaviors, and restricted or fixated interests (American Psychiatric Association, 2013). However, elements of these same traits can lead to high levels of concentration, strong attention to detail, and an impressive memory for factual knowledge (Firth & Happé, Reference Firth and Happé2005; Happé, Reference Happé2018). Interest has grown in the scientific community regarding possible specialized skills, also sometimes called “savant skills,” in those on the autism spectrum.

Indeed, a number of special skills, including a talent for mechanical and spatial tasks, music, detailed memorization, drawing, and mathematical calculations have been linked to autism (Itzchak et al., Reference Itzchak, Aviva and Zachor2013). Despite this, not all individuals on the spectrum exhibit special abilities. The exact prevalence of such abilities in the autistic population is unclear and has been overrepresented in media depictions of autistic individuals (Draaisma, Reference Draaisma2009). Research in this area has provided estimates of special abilities in the autistic population that range anywhere from 13% to 42% (Bennett & Heaton, Reference Bennett and Heaton2012; Bolte & Poustka, Reference Bolte and Poustka2004; Itzchak et al., Reference Itzchak, Aviva and Zachor2013). However, much of this research has been conducted on children rather than adults, and as such it is difficult to know the developmental trajectory of these special talents or the prevalence of special talents in the adult autistic population.

Although it is clear that not all autistic individuals possess what would be considered “savant skills,” there is evidence that, on average, autistic people have superior visiospatial processing abilities when it comes to processing details (Mitchell & Ropar, Reference Mitchell and Ropar2004). For example, using an embedded figure task paradigm, Shah and Firth (Reference Shah and Frith1983) found that austistic individuals were faster at identifying a target shape nested within a more complex pattern as compared to neurotypical individuals. It has been suggested that this superior performance in processing detailed visual information predisposes individuals on the spectrum to excelling in highly technical fields such as science, engineering, and computer coding. Some have even hypothesized that the “[g]enes that contribute to autism may overlap with genes for the uniquely human ability to understand how the world works in detail—to see beauty in patterns inherent in nature, music and math.” (Baron-Cohen, Reference Baron-Cohen2012, p. 75).

Further, multiple sources report that there is an unusually high rate of individuals on the spectrum in areas with a large “tech” presence, including Silicon Valley in California, Bangalore (i.e., the “Silicon Valley of India”), and Eindhoven (i.e., the “Silicon Valley of the Netherlands”; Baron-Cohen, Reference Baron-Cohen2012, p. 75). Similarly, work by Baron-Cohen and colleagues (Reference Baron-Cohen, Bolton, Wheelwright, Scahill, Short, Mead and Smith1998) suggested that the incidence of ASD may be up to nine times higher in university students studying math as compared to those in the humanities. Of course, the mere presence of individuals with ASD at higher rates in certain fields does not necessarily indicate a higher innate aptitude. However, the fact that large science, engineering, and technology-based companies like Microsoft actively recruit employees on the spectrum as part of their business strategy suggests that individuals with ASD may have some unique traits that prove helpful in certain professional domains.

Strengths of ADHD in the workplace

ADHD is a neurodevelopmental difference commonly associated with a number of “cognitive impairments” including hyperactivity, difficulty with concentration, and impulsivity (American Psychiatric Association, 2013; Castellanos et al., Reference Castellanos, Sonuga-Barke, Milham and Tannock2006). Indeed, this may seem rather obvious as the traits that define this brain difference serve as part of the name of the condition (i.e., ADHD). However, some have argued that using this label is a misnomer and does a great disservice to those living with this brain difference. According to ADHD experts Edward Hallowell and John Ratey (Reference Hallowell and Ratey2021), the ADHD brain is full of seemingly “paradoxical tendencies.” Specifically, they have argued that ADHD, rather than being a condition characterized by attentional deficits, would be better characterized as a condition of attentional abundance in which individuals are constantly scanning their environment for novel or interesting stimuli (Hallowell & Ratey, Reference Hallowell and Ratey2021, p. 7). As a result, individuals with ADHD often experience hyperfocus, an enhanced ability to focus when it comes to activities they enjoy and that offer stimulation, and thus they may be particularly well suited to fast paced environments.

In addition, there is evidence of a connection between ADHD and creativity. Research findings suggest that several of the cognitive differences associated with ADHD, such as impulsivity, distractibility, and cognitive arousal co-occur with divergent thinking and creativity (Baird et al., Reference Baird, Smallwood, Mrazek, Kam, Franklin and Schooler2012; Batey & Furnham, Reference Batey and Furnham2008; Carson et al., Reference Carson, Peterson and Higgins2003; De Dreu et al., Reference De Dreu, Baas and Nijstad2008; Zabelina et al., Reference Zabelina, Saporta and Beeman2016). Further, several studies have found a direct relationship between ADHD and both self-report (White & Shah, Reference White and Shah2006) and standardized measures of creativity (White & Shah, Reference White and Shah2011). Such research findings suggest that individuals with ADHD could be of particular value in the growing number of industries where novel thinking and creativity are at a premium.

Furthermore, it is the qualities of creativity and innovation that have led researchers to examine the relationship between ADHD and entrepreneurship. There is a small but burgeoning body of research examining the possibility of ADHD as an advantage in entrepreneurial pursuits. Research suggests that due to their heighted stimulus seeking tendencies, individuals with ADHD are less likely to be put off by the risk involved in entrepreneurial tasks (Lerner et al., Reference Lerner, Hunt and Verheul2018). Indeed, research conducted by Lerner and colleagues (Reference Lerner, Verheul and Thurik2019) suggests that individuals with ADHD are more likely both to have entrepreneurial intentions and to engage in business venturing. Specifically, the hyperactivity component (rather than the inattentive component) of ADHD and ability to hyperfocus may be beneficial for individuals in pursuing entrepreneurial pursuits, particularly when combined with a passion for founding and developing an entrepreneurial opportunity (Hatak et al., Reference Hatak, Chang, Harms and Wiklund2020; Verheul et al., Reference Verheul, Rietdijk, Block, Franken, Larsson and Thurik2016). The passion for developing and founding may mitigate ADHD challenges in sustaining focus and persevering over the long term so that the entrepreneurial ventures are more likely to succeed (Hatak et al., Reference Hatak, Chang, Harms and Wiklund2020).

Indeed, popular press articles have touted ADHD as the secret weapon to business success, with titles like ADHD: The Entrepreneur’s Superpower (Archer, Reference Archer2014). Such articles claim common traits associated with ADHD such as creativity, risk taking, preferences for multitasking, and high energy make individuals with the condition particularly well suited to entrepreneurial business success. Indeed, popular press outlets point to the success of ADHD individuals such as Richard Branson, Ikea founder Ingvar Kamprad, and JetBlue founder David Neeleman as anecdotal evidence of an entrepreneurial ADHD advantage. Clearly more research is needed to reach any strong conclusions regarding the possible strengths of ADHD in the workplace, however, anecdotal evidence along with burgeoning research streams suggests that this is a research area worth pursuing.

Strengths of dyslexia in the workplace

Dyslexia is a neurodevelopmental difference associated with difficulty in the phonological processing of written language (American Psychiatric Association, 2013; Peterson & Pennington, Reference Peterson and Pennington2012). Despite this “deficit,” there is growing scientific evidence that dyslexics may have unique patterns of cognitive strengths that accompany the relative deficits. Specifically, research suggests that dyslexics may have a greater affinity toward holistic information processing, which allows them to more easily make connections and see the bigger picture. For example, studies have found that dyslexics have an advantage over nondyslexics when it comes to global visual-spatial (Geiger et al., Reference Geiger, Cattaneo, Galli, Pozzoli, Lorusso, Facoetti and Molteni2008; von Károlyi et al., Reference von Károlyi, Winner, Gray and Sherman2003) and auditory (Geiger et al., Reference Geiger, Cattaneo, Galli, Pozzoli, Lorusso, Facoetti and Molteni2008) processing. In contrast, there is evidence that dyslexics may be particularly weak at visual and auditory tasks that require sequential or part-based processing (i.e., processing that requires a focus on specifics of the attentional field; von Károlyi & Winner, Reference von Károlyi, Winner, Newman and Sternberg2004). Facoetti and colleagues (Reference Facoetti, Trussardi, Ruffino, Lorusso, Cattaneo, Galli, Molteni and Zorzi2010) suggest that the difficulty in reading associated with dyslexia is a product of this different attentional style (i.e., multisensory spatial attention deficits). This is further supported by research that has found that dyslexics have greater right hemisphere dominance, which is associated with greater holistic rather than sequential processes, as compared with nondyslexics (Korbey, Reference Korbey2015; Stein, Reference Stein2001; Vlachos et al., Reference Vlachos, Andreou and Delliou2013).

Although this predisposition to processing stimuli in a global rather that part-based way has generally been framed as a deficit, as this processing style may be related to a number of difficulties dyslexics encounter it may also be associated with the kind of higher order thinking and problem-solving competencies that organizations are increasingly looking for in their employees. For example, the United Kingdom intelligence agency GCHQ reportedly employs a disproportionately high number of people with dyslexia just for this reason. According to GCHQ director, Jeremy Flemming, dyslexics are of particular use to the intelligence agency because of their knack for “joining the dots, simplification, seeing the bigger picture” (Wood, Reference Wood2019, para. 4).

Both organizations (EY, 2019) and the popular press (Schneps, Reference Schneps2014; Taylor, Reference Taylor2019) have offered anecdotal evidence of specific dyslexic talents in the workplace (e.g., creativity and innovative thinking). For example, Vanella Jackson, Global CEO at Hall and Partners is quoted as saying that dyslexic thinking “plays into what we need as a business, and the pressing business needs of today and the future” because “people with dyslexia have a unique advantage; their special ability to cut through complexity and find original ways to solve problems” (EY, 2019, p. 6). Indeed, from a clinical standpoint, dyslexia is associated with an uneven cognitive profile. This can lead to a seemingly paradoxical situation whereby individuals struggle with “elementary” skills such as spelling, rote memory, or reading fluency while performing well on “higher order” skills (e.g., creative thinking and problem-solving; Breaux & Eichstadt, Reference Breaux and Eichstadt2017).

(Un)Employment of neuroatypical individuals: Implications for well-being

We have discussed in detail the potential organizational advantages to neurodiversity. However, despite these potential advantages, neuroatypical individuals suffer from rates of under/unemployment significantly higher than that of the general public (Dow et al., Reference Dow, Lund and Douthit2020). Research suggests that employment is one of the more important factors related to well-being outcomes for individuals with disability (Beyer et al., Reference Beyer, Brown, Akandi and Rapley2010). As such, making neurodiversity an essential part of the organizational diversity and inclusion agenda will almost certainly have a substantial impact on the well-being of neuroatypical individuals.

Unemployment can have detrimental consequences to one’s well-being (i.e., psychological, physical) and overall satisfaction (i.e., life, marital, familial). For example, in a meta-analytic investigation of the relationship between unemployment and individual psychological and physical well-being, McKee-Ryan and colleagues (Reference McKee-Ryan, Song, Wanberg and Kinicki2005) found significant, negative effects on mental health, life satisfaction, and objective physical health. More specifically, research on the negative impact of unemployment on social-psychological well-being found evidence of increased levels of depression and anxiety, as well as decreased levels of self-esteem and morale (see Brand, Reference Brand2015 for a review).

Neuroatypical individuals may experience compounded effects of unemployment, as neuroatypical applicants are perceived as less employable (McArdle et al., Reference McArdle, Waters, Briscoe and Hall2007). Alarmingly, the unemployment rate is exponentially higher for subpopulations of neuroatypical individuals. For example, college educated adults with ASD face a substantially high unemployment rate of 85% within the United States (Sparrow, Reference Sparrow2018), compared to the 6.2% unemployment rate of the general US population (Bureau of Labor Statistics [BLS], 2021).

These high unemployment rates translate into lost income and, as stated above, negative outcomes on mental and physical health (Brand, Reference Brand2015; McKee-Ryan et al., Reference McKee-Ryan, Song, Wanberg and Kinicki2005). In a 2006 study, Biederman and Faraone estimated the loss of income for adults with ADHD across the United States ranges from $67–$116 billion annually. Not only is unemployment detrimental to the individual’s well-being, but also to state and federal unemployment infrastructure. For example, Kropp (Reference Kropp2020) found unemployment due to dyslexia will cost $340 billion in gross domestic product (GDP) over the next 60 years in California alone.

Neurodiversity: A unique dimension of organizational diversity

Despite the clear and pressing need to better understand neurodiversity in the workplace and barriers to employment for neuroatypcial workers, there is little research on neurodiversity within the organizational sciences. One reason for this is that scholars and organizations are only just starting to see neurological differences as an important dimension of organizational diversity (Brinzea, Reference Brinzea2019). Therefore, relevant research that does exist does not often use the framework of diversity. We believe that examining neurological differences from an organizational diversity perspective can help us better understand the experiences of neuroatypical workers as well as the barriers they may face in the workplace. In the following section we discuss how neurodiversity in the workplace may be similar or different from that of racial, gender, and sexual orientation diversity, bridging the currently disparate literatures on neurological disability and diversity.

In particular, we highlight three aspects of neurodiversity that we believe make neurodiversity different from other commonly studied types of organizational diversity and in doing so discuss the implications of these differences for organizational diversity initiatives. First and foremost, the stigma and stereotyping around neuroatypicality is likely to be different than that of other commonly studied minority groups in the workplace. Second, unlike other types of diversity commonly studied in the organizational sciences, neurodiversity is a form of deep level, as opposed to surface level, diversity. Third, unlike other types of minority membership, neurominority membership is the only minority status defined by differences in cognitive processing. These three aspects of neurodviersity are likely to necessitate that organizations take unique approaches to increasing neurodiversity, many of which are not applicable to other types of diversity initiatives.

The neuroatyical identity: A different type of stigmatized identity?

Similar to other stigmatized identities, preliminary evidence suggests that neuroatypical individuals are not immune to negative stereotyping and discrimination (e.g., Gray, Reference Gray2001; Hinshaw & Stier, Reference Hinshaw and Stier2008; Mawson et al., Reference Mawson, Grounds and Tantam1985). However, the exact nature of this stereotyping and the outcomes related to this stereotyping are likely to be different than those of other commonly studied minority groups. Due to the medicalization of ASD, ADHD, and dyslexia based on deficits, it seems reasonable that individuals with these neurological differences would be stigmatized as particularly incompetent as compared to other minority members in the workplace. Indeed, stereotypical attitudes toward individuals with disabilities more broadly are described as low competence and high warmth (Fiske et al., Reference Fiske, Cuddy, Glick and Xu2002; Lyons et al., Reference Lyons, Martinez, Ruggs, Hebl, Ryan, O’Brien and Roebuck2018). According to the stereotype content model (SCM), disabled individuals are thereby perceived through a paternalistic lens (Fiske et al., Reference Fiske, Cuddy, Glick and Xu2002). Under this view, those with disabilities are often met with pity and sympathy by their outgroup.

Although neuroatypical individuals can be viewed as disabled, it is likely that there are unique stereotypes associated with this group. For example, previous research suggests that because of low social skills and inappropriate use of affective expression, individuals with ASD may be perceived as rude or impolite (McKnight-Lizotte, Reference McKnight-Lizotte2018). Therefore, people with ASD may be perceived as low in warmth, which is likely to be met with more contempt from individuals belonging to their outgroup (Fiske et al., Reference Fiske, Cuddy, Glick and Xu2002). This stereotype is likely to influence hiring perceptions of team cooperation, customer service, and general social skills. Future work should examine stereotypes of neuroatypical identities and how these stereotypes influence subsequent organizational decisions.

Further, the negative stereotyping of and discrimination toward neuroatypical people in the workplace may be seen as “rational” (i.e., justifiable, acceptable), a perspective not often adopted for other stigmatized groups (e.g., racial, sexual, or gender minorities; Areheart, Reference Areheart2008). The medicalization of neuroatypicality is unlike that of other commonly studied minority identities in the workplace and is likely to color how neuroatypical individuals are perceived in the workplace. Labeling someone with a clinical diagnosis that is considered a “neurodevelopmental disorder” is likely to make employers and coworkers question even a qualified individual’s ability to perform job duties. In contrast, not wanting to hire or work with an otherwise qualified Black, female, or gay individual is less likely to be seen as justifiable and more likely to be considered racist, sexist, or homophobic. As such, discrimination against neuroatypical individuals in the workplace is likely more commonly considered acceptable than discrimination toward other commonly studied minority groups.

However, adherence to the view that discrimination against neuroatypical individuals is rational is likely to be affected by one’s general view of disability (Areheart, Reference Areheart2008). In adopting the medical model of disability, individuals may perceive disabled persons as physically or mentally inferior to the majority and thus ill-fitted for the workplace. In contrast, the social model of disability views disability discrimination as a form of social discrimination similar to race-based or sex-based bias. Therefore, individuals who adopt the social model of disability may recognize discrimination toward neuroatypical others as rooted in social injustices toward the community. Although these differences have been proposed by Areheart (Reference Areheart2008), empirical evidence directly testing these proposed differences within organizations is lacking. As such, future research should explore how one’s perceptions of disability influence stigmatization of neuroatypical individuals in the workplace. Of particular interest is the organizational culture around disability. Organizational cultures that ascribe to the medical model of disability (as opposed to the social model) are likely to be more stigmatizing environments for neuroatypical individuals to work in.

It is also important to note that experiences of discrimination may have unique effects on identity formation among the neurodivergent community. Compared to other identities, neuroatypical individuals are often isolated within their family or direct community (Santuzzi & Waltz, Reference Santuzzi and Waltz2016) and therefore may receive less social support, making it harder to navigate experiences of discrimination. Additionally, although there has been a widespread rise in positive subcultures and public positive messaging surrounding other identities (e.g., LGBTQ Pride; “Black Girl Magic”), the same is not true to the same extent of disabled community (Bogart, Reference Bogart2014; Hahn & Belt, Reference Hahn and Belt2004). Although positive subcultures around neuroatypicality do exist, particularly through the internet, one is likely to have to seek it out more actively. As a result, individuals within the neurotypical community may not be exposed to messages likely to combat negative portrayal of neurological disorders and experienced discrimination.

Neurodiversity: A form of deep level rather than surface level diversity

Unlike other types of diversity commonly studied in the organizational sciences, neurodiversity is a form of deep level, as opposed to surface level, diversity. Whereas surface level diversity refers to obvious differences among individuals in characteristics that are readily visible, deep-level diversity is a term used to refer to “diversity of underlying attributes” that are not readily visible such as attitude, knowledge, and skills (Harrison et al., Reference Harrison, Price and Bell1998, p. 98). Race and gender, the most commonly studied types of diversity in the organizational sciences (Colella et al., Reference Colella, Hebl and King2017), fall within the realm of surface level diversity, as they are typically observable through physical characteristics.

Neurominority members exhibit, essentially by definition, a deep-level type of diversity because the type of diversity they bring to an organization stems from differences in brain functioning that are not obviously visible. As such, neurominority members are likely to have more similar experiences to those of sexual minorities in the workplace, a minority group whose minority status can often be hidden (i.e., an invisible identity). In the following section, we discuss the implications of neuroatypicality in the workplace as a deep-level form of diversity, focusing on one of the issues most prevalent in the invisible identity literature, that of workplace disclosure.

Workplace disclosure

Unlike other more visible identities that represent surface level diversity (e.g., race, gender, physical disability), the neuroatypical community generally represents a more concealable identity. Neuroatypical individuals are not identifiable by physical appearance (although behavioral differences in some neuroatypical individuals may suggest their minority identity, such as lack of commonly accepted social behaviors in many persons with ASD; Johnson & Joshi, Reference Johnson and Joshi2014). Therefore, much like sexual orientation minorities, neuroatypical individuals are tasked with deciding whether to disclose their identity within the workplace.

Disclosure is defined as “the act of revealing personal information about oneself to another” (Collins & Miller, Reference Collins and Miller1994, p. 457). The decision to disclose one’s invisible identity in the workplace is not straightforward. Research on the consequences of workplace disclosure among sexual minorities has pointed to both positive (e.g., job satisfaction, affective commitment; Day & Schoenrade, Reference Day and Schoenrade1997; Griffith & Hebl, Reference Griffith and Hebl2002) and negative (e.g., workplace harassment, social isolation, discrimination; Clair et al., Reference Clair, Beatty and MacLean2005; Ragins, Reference Ragins2008) outcomes related to disclosure.

However, the disclosure decision is further complicated for neurominority members by the fact that disclosure is often tied to the ability to receive accommodations. Some individuals may be tasked with having to disclose their identity right away in order to seek accommodation during the selection process (e.g., interviews for individuals with ASD; Austin & Pisano, Reference Austin and Pisano2017; Hurley-Hanson & Giannantonio, Reference Hurley-Hanson, Giannantonio, Scandura and Mouriño-Ruiz2017; Patton, Reference Patton2019). For others, it may be imperative that they request and receive accommodations once employed (McIntosh, Reference McIntosh2016). This contrasts with other concealable identities (e.g., sexual minorities), who can choose to conceal their identities until they have developed stronger ties within the organization.

Receiving appropriate accommodation could have a direct impact on performance and individual success in the workplace. Although employers are legally required by the ADA to provide neuroatypical employees who disclose with reasonable accommodations, research suggests that the act of receiving accommodations may have stigmatizing effects beyond that of disclosure alone. Paetzold et al. (Reference Paetzold, García, Colella, Ren, Triana and Ziebro2008) conducted an experimental study in which they examined the fairness perceptions of accommodations (i.e., extended time) for a student with dyslexia. The results showed that participants perceived not granting accommodations as more fair than granting accommodations. Further, Paetzold and colleagues (Reference Paetzold, García, Colella, Ren, Triana and Ziebro2008) found that accommodations were perceived as most unfair when the dyslexic individual performed well (vs. poorly) at the task for which they received accommodations. Such findings suggest that even after disclosure, neuroatypcial individuals may continue to experience stigmatization as a result of utilizing accommodations, an effect that may be magnified if they are high performers. Future research is needed to explore the unique experiences and challenges surrounding disclosure of neurodivergent workers.

In addition, the disclosure decisions of neuroatypical individuals have implications for the success of organizational recruiting programs aimed at targeting neurominorities. Specifically, although some targeted recruitment programs currently exist to increase workplace accessibility to the neuroatypical community (e.g., Microsoft Neurodiversity Hiring Program or EY’s Neurodiversity Centers of Excellence Initiative), it is likely that, due to hesitancy to disclose, a substantial proportion of the neurotypical population may choose not to respond to targeted recruitment efforts. Similar to research findings that beneficiaries of affirmative action plans are often perceived as less competent (Heilman et al., Reference Heilman, Block and Lucas1992), recruitment through a program intended to increase neurodiversity may also result in lower perceptions of competence (i.e., stigmatization). This may present a barrier to targeted recruitment efforts of neuroatypcial individuals that further thwarts organizational efforts to increase neurodiversity.

The neuroatypical mind: A different way of processing information

Perhaps what makes neurodiversity the most different from other types of organizational diversity is that neurominority membership is the only minority status defined by differences in cognitive processing. Unlike other minority groups commonly studied in the context of the workplace (e.g., racial, gender, and sexual minorities), neurominority members, by definition, process information and interface with their environment in ways that are different from what is considered “typical.” Due to these differences in neurological functioning, there are some unique considerations when it comes to increasing neurodiverstiy within organizations. Specifically, common organizational practices and structures have been built for the neurotypical population and may not work as well with neuroatypical individuals. In other words, standard approaches may not always work for unstandard minds. As a result, organizations wanting to increase neurodiversity will need to be open to implementing accommodations, adapting modes of communication, increasing flexibility, or changing management style and leadership practices.

A prime example of this is the selection process, as common selection practices for new hires may not work adequately for neurodiverse applicants. Employers need to consider the potential for adverse impact of current selection systems on neuroatypical individuals. Although the three types of neuroatypicality we have focused on in this article (i.e., ASD, ADHD, and dyslexia) are unrelated to overall cognitive ability itself, neuroatypcial individuals often have “a spiky profile” of functioning, meaning that although they have certain cognitive deficits, other areas of their cognitive functioning are relatively unaffected (Doyle, Reference Doyle2020, p 109). Due to this “spiky profile” of cognitive functioning, certain commonly used modalities of testing knowledge, skills, or abilities during the selection process may not be appropriate for the members of the neuroatypcial population. For example, because individuals with dyslexia have slower processing speeds when it comes to written language, selection tools that are time sensitive and reading based will not fully capture a dyslexic’s abilities when it comes to higher level skills (e.g., reasoning skills, problem-solving; Schneider et al., Reference Schneider, Gong and Egan2015).

Similarly, selection tools intended to evaluate specific job relevant skills but that do so through modalities that have a high social component (e.g., interviews) may screen out applicants with ASD even when they have necessary or superior skills for the job. For example, adults with ASD may be discounted for lack of eye contact during an interview (CIPD, 2018). Indeed, Patton (Reference Patton2019) suggests interviews may inadvertently discriminate against individuals with ASD due to emphasis on emotional intelligence and agreeableness, which may not actually be competencies required for the job.

These findings highlight the need to examine the evaluation and psychometric properties of selection systems in specific groups to ensure that selection measures are equally valid across neurotypical and neuroatypical populations. This is imperative not only for legal defensibility but also person–organization fit, as the goal of selection is to hire an individual with the ability to perform successfully on the job. To this end, we suggest future research examine the differences between neurotypical and neuoratypical populations on different sets of selection tools and also strategies to reduce these group differences, such as providing appropriate evaluation and accommodations during the selection process. In addition, research should investigate how construct validity varies between neurodiverse groups to ensure the selection tool is measuring job-related KSAOs without construct contamination as mentioned above.

Similarly, neuroatypicality may have implications for management styles that are not characteristic of other types of diversity. Recent diversity research suggests that leadership can play a role in determining important outcomes (e.g., performance, turnover, organizational commitment) in organizational settings with diverse employees (Kearney & Gebert, Reference Kearney and Gebert2009; Nishii & Mayer, Reference Nishii and Mayer2009; Ruppert, Reference Ruppert2010). As such, leadership is also likely to play an important role among work groups that are neurodiverse as well. For example, researchers have suggested that leadership is particularly important when it comes to neurodiversity and disability in the workplace, as those in leadership positions play an important role in the accommodation (Gates, Reference Gates2000), socialization, and mentorship processes (Kulkarni & Lengnick-Hall, Reference Kulkarni and Lengnick-Hall2011).

However, researchers and practitioners should not assume that leadership styles that are well suited to other types of diversity are similarly well suited to individuals with neuroatypicalities. For example, although research has suggested that transformational leadership, a form of leadership that inspires followers to move “beyond immediate self-interests” (Bass, Reference Bass1999, p. 11), can positively influence the outcomes of diverse teams (Kearney & Gebert, Reference Kearney and Gebert2009), research also suggests that there are some negative outcomes associated with this type of leadership for certain neurominority members. Specifically, Parr et al. (Reference Parr, Hunter and Ligon2013) found that although certain dimensions of transformational leadership (i.e., individualized consideration and idealized influence) reduced anxiety in ASD followers, which in turn increased follower organizational commitment, other dimensions of transformational leadership had the opposite effect. Indeed, inspirational motivation, a dimension of transformational leadership that involves “affect-laden” displays and “charismatic displays,” was positively related to levels of anxiety and negatively related to organizational commitment in individuals with ASD (Parr et al., Reference Parr, Hunter and Ligon2013, p. 611).

Parr and colleagues’ (2013) findings challenge, as they put it, the “universal applicability” of transformational leadership (p. 608). Further, these findings illustrate how leadership styles may have different outcomes for individuals with neuroatypicalities, suggesting that understanding leadership in the context of neurodiversity is of particular importance. Due to differences in neurological functioning, the relationship between leadership styles and important individual and organizational outcomes may be different for neurominority members than for that of other types of commonly studied minority members in the workplace. Although the extant literature suggests that leadership is an important factor in neuroatypical employees’ well-being and success in the workplace, further exploration is needed to understand what types of leadership are best suited to a neurodiverse workplace.

Conclusion

Examining neurological differences within the wider realm of organizational diversity can help inform the research questions of scholars interested in studying neurodiversity in the workplace. Although neurominority individuals in the workplace are likely to have many experiences (e.g., stigmatization, identity management, discrimination) that overlap with those of other minority groups, there are also aspects of neuroatypicality that make this population unique. We have discussed several fruitful avenues and considerations for future research, discussing the parallels and differences between neurodiversity and other commonly studied dimensions of organizational diversity.

In their 2017 review of the first one hundred years of research on discrimination in the Journal of Applied Psychology, Colella and colleagues underscore the need for research examining the experiences of individuals with intellectual disabilities in the workplace. It is our hope that in this focal article we have extended this call for action a step further by articulating not only the importance of studying the experiences of individuals with neurological/intellectual disability in the workplace but also the importance of studying this population from an organizational diversity perspective. It has been our contention throughout the current article that with the continued automation of jobs and the evolving nature of work, neurodiversity will become an increasingly relevant dimension of organizational diversity. Specifically, we have suggested that as an important dimension of diversity, neurodiversity is likely to play a key role in important individual and organizational outcomes. It is our hope that this article helps to spur discussion and I-O scholarship in the area of neurodiversity.

Footnotes

The work of Arturia Melson-Silimon was supported in part by the National Science Foundation Graduate Research Fellowship Program (DGE-1443117). Any opinions, findings, and conclusions or recommendations expressed are those of the authors and do not necessarily reflect the views of the National Science Foundation.

The work by N. T. Carter, was supported in part by the National Science Foundation under Grant SES-1561070. Any opinions, findings, and conclusions expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

References

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC. https://doi.org/10.1176/appi.books.9780890425596 CrossRefGoogle Scholar
Areheart, B. A. (2008). When disability isn’t just right: The entrenchment of the medical model of disability and the Goldilocks dilemma. Indiana Law Journal, 83, 181232.Google Scholar
Armstrong, T. (2010). The power of neurodiversity: Unleashing the advantages of your differently wired brain. Da Capo Lifelong Books.Google Scholar
Austin, R. D., & Pisano, G. P. (2017, July 18). Neurodiversity is a competitive advantage. https://hbr.org/2017/05/neurodiversity-as-a-competitive-advantage.Google Scholar
Autor, D. H., Katz, L. F., & Kearney, M. S. (2006). The polarization of the U.S. labor market. American Economic Review, 96, 189194. https://doi.org/10.1257/000282806777212620 CrossRefGoogle Scholar
Autor, D. H., Levy, F., & Murnane, R. J. (2003). The skill content of recent technological change: An empirical exploration. Quarterly Journal of Economics, 118(4), 12791333. https://doi.org/10.1162/003355303322552801 CrossRefGoogle Scholar
Baird, B., Smallwood, J., Mrazek, M. D., Kam, J. W., Franklin, M. S., & Schooler, J. W. (2012). Inspired by distraction: Mind wandering facilitates creative incubation. Psychological Science, 23(10), 11171122. https://doi.org/10.1177/0956797612446024 CrossRefGoogle ScholarPubMed
Baron-Cohen, S. (2012). Autism and the technical mind. Scientific American, 307(5), 7275. https://doi.org/10.1038/scientificamerican1112-72 CrossRefGoogle ScholarPubMed
Baron-Cohen, S., Ashwin, E., Ashwin, C., Tavassoli, T., & Chakrabarti, B. (2009). Talent in autism: Hyper-systemizing, hyper-attention to detail and sensory hypersensitivity. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1522), 13771383. https://doi.org/10.1098/rstb.2008.0337 CrossRefGoogle ScholarPubMed
Baron-Cohen, S., Bolton, P., Wheelwright, S., Scahill, V., Short, L., Mead, G., & Smith, A. (1998). Does autism occur more often in families of physicists, engineers, and mathematicians? Autism, 2(3), 296301. https://doi.org/10.1177/1362361398023008 CrossRefGoogle Scholar
Bass, B. M. (1999). Two decades of research and development in transformational leadership. European Journal of Work and Organizational Psychology, 8(1), 932. https://doi.org/10.1080/135943299398410 CrossRefGoogle Scholar
Batey, M., & Furnham, A. (2008). The relationship between measures of creativity and schizotypy. Personality and Individual Differences, 45(8), 816821. https://doi.org/10.1016/j.paid.2008.08.014 CrossRefGoogle Scholar
Becker, S. O., Ekholm, K., & Muendler, M. A. (2013). Offshoring and the onshore composition of tasks and skills. Journal of International Economics, 90(1), 91106. https://doi.org/10.1016/j.jinteco.2012.10.005 CrossRefGoogle Scholar
Bennett, E., & Heaton, P. (2012). Is talent in autism spectrum disorders associated with a specific cognitive and behavioural phenotype? Journal of Autism and Developmental Disorders, 42(12), 27392753.CrossRefGoogle ScholarPubMed
Beyer, S., Brown, T., Akandi, R., & Rapley, M. (2010). A comparison of quality of life outcomes for people with intellectual disabilities in supported employment, day services, and employment enterprises. Journal of Applied Research in Intellectual Disabilities, 23(3), 290295. http://dx.doi.org/10.1111/j.1468-3148.2009.00534.x CrossRefGoogle Scholar
Biederman, J., & Faraone, S. V. (2006). The effects of attention-deficit/hyperactivity disorder on employment and household income. Medscape General Medicine, 8(3), 812. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1781280/ Google ScholarPubMed
Bogart, K. R. (2014). The role of disability self-concept in adaptation to congenital or acquired disability. Rehabilitation Psychology, 59(1), 107115. https://doi.org/10.1037/a0035800 CrossRefGoogle ScholarPubMed
Bolte, S., & Poustka, F. (2004). Comparing the profiles of savant and non-savant individuals with autistic disorder. Intelligence, 32, 121131.CrossRefGoogle Scholar
Brand, J. E. (2015). The far-reaching impact of job loss and unemployment. Annual Review of Sociology, 41, 359375. https://doi.org/10.1146/annurev-soc-071913-043237 CrossRefGoogle ScholarPubMed
Breaux, K., & Eichstadt, T. (2017). Pearson clinical assessment solutions: A dyslexia toolkit [White paper]. Pearson Assessments. https://www.pearsonclinical.co.uk/Sitedownloads/Productpdfs/dyslexia-toolkit-white-paper.pdf.Google Scholar
Brinzea, V. M. (2019). Encouraging neurodiversity in the evolving workforce–the next frontier to a diverse workplace. Scientific Bulletin-Economic Sciences, 18(3), 1325. http://creativecommons.org/licenses/by-nc/4.0/ Google Scholar
Bureau of Labor Statistics, U.S. Department of Labor. (2021, March 5). The employment situatio February 2021 [Press release]. https://www.bls.gov/news.release/pdf/empsit.pdf Google Scholar
Carnes, B. I. L. L., & Holloway, M. (2009). Attention deficit hyperactivity disorder (ADHD) in the workplace. Graziadio Business Report, 12(2), 16.Google Scholar
Carson, S. H., Peterson, J. B., & Higgins, D. M. (2003). Decreased latent inhibition is associated with increased creative achievement in high-functioning individuals. Journal of Personality and Social Psychology, 85(3), 499506. https://doi.org/10.1037/0022-3514.85.3.499 CrossRefGoogle ScholarPubMed
Castellanos, F. X., Sonuga-Barke, E. J. S., Milham, M. P., & Tannock, R. (2006). Characterizing cognition in ADHD: Beyond executive dysfunction. Trends in Cognitive Sciences, 10(3), 117123.CrossRefGoogle ScholarPubMed
Chapman, R. (2019). Neurodiversity theory and its discontents: Autism, schizophrenia, and the social model of disability. In Tekin, S. & Bluhm, R. (Eds.), The Bloomsbury companion to philosophy of psychiatry, (pp. 371390). Bloomsbury Publishing.Google Scholar
Clair, J. A., Beatty, J., & MacLean, T. (2005). Out of sight but not out of mind: Managing invisible social identities in the workplace. Academy of Management Review, 30(1), 7895. https://doi.org/10.5465/amr.2005.15281431 CrossRefGoogle Scholar
Colella, A., Hebl, M., & King, E. (2017). One hundred years of discrimination research in the Journal of Applied Psychology: A sobering synopsis. Journal of Applied Psychology, 102(3), 500513. https://doi.org/10.1037/apl0000084 CrossRefGoogle ScholarPubMed
Collins, N. L., & Miller, L. C. (1994). Self-disclosure and liking: A meta-analytic review. Psychological Bulletin, 116(3), 457475. https://doi.org/10.1037/0033-2909.116.3.457 CrossRefGoogle ScholarPubMed
Comberousse, S. (2019, September 25). A beginner’s guide to neurodiversity. LDT. https://www.learningdisabilitytoday.co.uk/a-beginners-guide-to-neurodiversity.Google Scholar
Cox, T. (1994). Cultural diversity in organizations: Theory, research and practice. Berrett-Koehler Publisher.Google Scholar
Day, N. E., & Schoenrade, P. (1997). Staying in the closet versus coming out: Relationships between communication about sexual orientation and work attitudes. Personnel Psychology, 50(1), 147163. https://doi.org/10.1111/j.1744-6570.1997.tb00904.x CrossRefGoogle Scholar
De Dreu, C. K., Baas, M., & Nijstad, B. A. (2008). Hedonic tone and activation level in the mood-creativity link: Toward a dual pathway to creativity model. Journal of Personality and Social Psychology, 94(5), 739756. https://doi.org/10.1037/0022-3514.94.5.739 CrossRefGoogle Scholar
Dow, M. J., Lund, B. D., & Douthit, W. K. (2020). Investigating the link between unemployment and disability: Lexically ambiguous words and fixed formulaic sequences in job ads for academic reference librarians. International Journal of Information, Diversity, & Inclusion, 4(1), 4259. https://doi.org/10.33137/ijidi.v4i1.32369 Google Scholar
Doyle, N. (2019, October 30). Richard Branson opens door to bigger thinking on neurodiversity. Forbes. https://www.forbes.com/sites/drnancydoyle/2019/10/22/richard-branson-opens-the-door-to-bigger-thinking-on-neurodiversity-/?sh=1a381888639d Google Scholar
Doyle, N. (2020). Neurodiversity at work: A biopsychosocial model and the impact on working adults. British Medical Bulletin, 135(1), 108125. https://doi.org/10.1093/bmb/ldaa021 CrossRefGoogle Scholar
Draaisma, D. (2009). Stereotypes of autism. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1522), 14751480.CrossRefGoogle ScholarPubMed
Drescher, J. (2015). Out of DSM: Depathologizing homosexuality. Behavioral Sciences, 5(4), 565575. https://doi.org/10.3390/bs5040565 CrossRefGoogle ScholarPubMed
Dyslexia Association of Singapore. (2015, January 26). A new world shaped by dyslexics: Thomas G. West at embrace dyslexia seminar (Singapore) [Video]. YouTube. https://www.youtube.com/watch?v=xk1zfwpsIz0&t=491s Google Scholar
Eigsti, I. M., & Fein, D. A. (2013). More is less: Pitch discrimination and language delays in children with optimal outcomes from autism. Autism Research, 6(6), 605613. https://doi.org/10.1002/aur.1324 CrossRefGoogle ScholarPubMed
E.Y. (2019, October 14). How dyslexic capabilities can help organisations of the future. https://www.ey.com/en_uk/diversity-inclusiveness/how-dyslexic-capabilities-can-help-organisations-of-the-future Google Scholar
Facoetti, A., Trussardi, A. N., Ruffino, M., Lorusso, M. L., Cattaneo, C., Galli, R., Molteni, M., & Zorzi, M. (2010). Multisensory spatial attention deficits are predictive of phonological decoding skills in developmental dyslexia. Journal of Cognitive Neuroscience, 22(5), 10111025. https://doi.org/10.1162/jocn.2009.21232 CrossRefGoogle ScholarPubMed
Firth, U., & Happé, F. (2005). Autism spectrum disorder. Current Biology, 15(19), R786R790. https://doi.org/10.1016/j.cub.2005.09.033 CrossRefGoogle Scholar
Fiske, S. T., Cuddy, A. J., Glick, P., & Xu, J. (2002). A model of (often mixed) stereotype content: Competence and warmth respectively follow from perceived status and competition. Journal of Personality and Social Psychology, 82(6), 878902. https://doi.org/10.1037/0022-3514.82.6.878 CrossRefGoogle Scholar
Gates, L. B. (2000). Workplace accommodation as a social process. Journal of Occupational Rehabilitation, 10(1), 8598. https://doi.org/10.1023/A:1009445929841 Google Scholar
Geiger, G., Cattaneo, C., Galli, R., Pozzoli, U., Lorusso, M. L., Facoetti, A., & Molteni, M. (2008). Wide and diffuse perceptual modes characterize dyslexics in vision and audition. Perception, 37(11), 17451764. https://doi.org/10.1068/p6036 Google ScholarPubMed
Gray, J. R. (2001). Emotional modulation of cognitive control: Approach–withdrawal states double-dissociate spatial from verbal two-back task performance. Journal of Experimental Psychology: General, 130(3), 436452. https://doi.org/10.1037/0096-3445.130.3.436 CrossRefGoogle ScholarPubMed
Gray, S.A., Fettes, P., Woltering, S., Mawjee, K., & Tannock, R. (2016). Symptom manifestation and impairments in college students with ADHD. Journal of Learning Disabilities 49(6):616630. https://doi.org/10.1177/00222 19415576523CrossRefGoogle ScholarPubMed
Griffith, K. H., & Hebl, M. R. (2002). The disclosure dilemma for gay men and lesbians: “Coming out” at work. Journal of Applied Psychology, 87(6), 11911199. https://doi.org/10.1037/0021-9010.87.6.1191 Google ScholarPubMed
Hackman, J. R., & Oldham, G. R. (1975). Development of the job diagnostic survey. Journal of Applied Psychology, 60, 159170. https://doi.org/10.1037/t02285-000 CrossRefGoogle Scholar
Hahn, H. D., & Belt, T. L. (2004). Disability identity and attitudes toward cure in a sample of disabled activists. Journal of Health and Social Behavior, 45(4), 453464. https://doi.org/10.1177/002214650404500407 CrossRefGoogle Scholar
Hallowell, E. M., & Ratey, J. J. (2021). ADHD 2.0: New science and essential strategies for thriving with distraction--from childhood through adulthood. Ballantine Books.Google Scholar
Happé, F. (2018). Why are savant skills and special talents associated with autism? World Psychiatry, 17(3), 280281. https://doi.org/10.1002/wps.20552 CrossRefGoogle ScholarPubMed
Harrison, D. A., Price, K. H., & Bell, M. P. (1998). Beyond relational demography: Time and the effects of surface- and deep-level diversity on work group cohesion. Academy of Management Journal, 41(1), 96107. https://doi.org/10.2307/256901 CrossRefGoogle Scholar
Hatak, I., Chang, M., Harms, R., & Wiklund, J. (2020). ADHD symptoms, entrepreneurial passion, and entrepreneurial performance. Small Business Economics. https://doi.org/10.1007/s11187-020-00397-x Google Scholar
Heilman, M. E., Block, C. J., & Lucas, J. A. (1992). Presumed incompetent? Stigmatization and affirmative action efforts. Journal of Applied Psychology, 77(4), 536544. https://doi.org/10.1037/0021-9010.77.4.536.CrossRefGoogle Scholar
Hinshaw, S. P., & Stier, A. (2008). Stigma as related to mental disorders. Annual Review of Clinical Psychology., 4, 367393. https://doi.org/10.1146/annurev.clinpsy.4.022007.141245 CrossRefGoogle ScholarPubMed
Horwitz, S. K., & Horwitz, I. B. (2007). The effects of team diversity on team outcomes: A meta-analytic review of team demography. Journal of Management, 33(6), 9871015. https://doi.org/10.1177/0149206307308587 Google Scholar
Hülsheger, U. R., Anderson, N., & Salgado, J. F. (2009). Team-level predictors of innovation at work: A comprehensive meta-analysis spanning three decades of research. Journal of Applied Psychology, 94(5), 11281145.https://doi.org/10.1037/a0015978 CrossRefGoogle Scholar
Hurley-Hanson, A. E., & Giannantonio, C. M. (2017). LMX and autism: Effective working relationships. In Scandura, T. A. & Mouriño-Ruiz, E. (Eds.), Leading diversity in the 21st century (pp. 281302). IAP Information Age Publishing.Google Scholar
Itzchak, E. B., Aviva, B., & Zachor, D. A. (2013). Are special abilities in autism spectrum disorder associated with a distinct clinical presentation? Research in Autism Spectrum Disorders, 7(9), 11221128.CrossRefGoogle Scholar
Johnson, T. D., & Joshi, A. (2014). Disclosure on the spectrum: Understanding disclosure among employees on the autism spectrum. Industrial and Organizational Psychology, 7(2), 278281. https://doi.org/10.1111/iops.12149 CrossRefGoogle Scholar
Kapp, S. K., Gillespie-Lynch, K., Sherman, L. E., & Hutman, T. (2013). Deficit, difference, or both? Autism and neurodiversity. Developmental Psychology, 49(1), 59.CrossRefGoogle ScholarPubMed
Kearney, E., & Gebert, D. (2009). Managing diversity and enhancing team outcomes: The promise of transformational leadership. Journal of Applied Psychology, 94(1), 7789. https://doi.org/10.1037/a0013077 Google ScholarPubMed
Korbey, H. (2015, October 1). Understanding dyslexia and the reading brain in kids. KQED. https://www.kqed.org/mindshift/41845/understanding-dyslexia-and-the-reading-brain-in-kids Google Scholar
Kropp, M. (2020, August, 5). The $1T impact of ignoring dyslexia. LinkedIn. https://www.linkedin.com/pulse/1t-impact-ignoring-dyslexia-matthew-kropp/ Google Scholar
Kulkarni, M., & Lengnick-Hall, M. L. (2011). Socialization of people with disabilities in the workplace. Human Resource Management, 50(4), 521540. https://doi.org/10.1002/hrm.20436 Google Scholar
Lerner, D., Hunt, R., & Verheul, I. (2018). Dueling banjos: Harmony and discord between ADHD and entrepreneurship. Academy of Management Perspectives. https://doi.org/10.5465/amp.2016.0178 CrossRefGoogle Scholar
Lerner, D. A., Verheul, I., & Thurik, R. (2019). Entrepreneurship and attention deficit/hyperactivity disorder: A large-scale study involving the clinical condition of ADHD. Small Business Economics, 53, 381392. https://doi.org/10.1007/s11187-018-0061-1 CrossRefGoogle Scholar
Lyons, B. J., Martinez, L. R., Ruggs, E. N., Hebl, M. R., Ryan, A. M., O’Brien, K. R., & Roebuck, A. (2018). To say or not to say: Different strategies of acknowledging a visible disability. Journal of Management, 44(5), 19802007. https://doi.org/10.1177/0149206316638160 Google Scholar
Majeed, N. M., Hartanto, A., & Tan, J. J. (2021). Developmental dyslexia and creativity: A meta-analysis. Dyslexia. 27(2), 187203. https://doi.org/10.1002/dys.1677 CrossRefGoogle ScholarPubMed
Mawson, D. C., Grounds, A., & Tantam, D. (1985). Violence and Asperger’s syndrome: A case study. British Journal of Psychiatry, 147, 566569. https://doi.org/10.1192/bjp.147.5.566 CrossRefGoogle ScholarPubMed
McArdle, S., Waters, L., Briscoe, J. P., & Hall, D. T. (2007). Employability during unemployment: Adaptability, career identity and human and social capital. Journal of Vocational Behavior, 71(2), 247264. https://doi.org/10.1016/j.jvb.2007.06.003 CrossRefGoogle Scholar
McIntosh, C. (2016). Asperger’s syndrome and the development of a positive work identity. Journal of Business and Management, 22(1), 87101.Google Scholar
McKee-Ryan, F., Song, Z., Wanberg, C. R., & Kinicki, A. J. (2005). Psychological and physical well-being during unemployment: A meta-analytic study. Journal of Applied Psychology, 90(1), 53. https://doi.org/10.1037/0021-9010.90.1.53 Google ScholarPubMed
McKnight-Lizotte, M. (2018). Work-related communication barriers for individuals with autism: A pilot qualitative study. Australian Journal of Rehabilitation Counselling, 24(1), 1226. https://doi.org/10.1017/jrc.2018.4 Google Scholar
Mitchell, P., & Ropar, D. (2004). Visuo-spatial abilities in autism: A review. Infant and Child Development: An International Journal of Research and Practice, 13(3), 185198.Google Scholar
Moran, G. (2019, December 4). As workers become harder to find, Microsoft and Goldman Sachs hope neurodiverse talent can be the missing piece. Fortune. https://fortune.com/2019/12/07/autism-aspergers-adhd-dyslexia-neurodiversity-hiring-jobs-work/ Google Scholar
Murray, D. (2018). Monotropism: An interest-based account of autism. In Volkmar, F. R. (Ed.). Encyclopedia of autism spectrum disorders. Springer. https://doi.org/10.1007/978-1-4614-6435-8_102269-1 Google Scholar
Murray, E. D., Cunningham, M. G., & Price, B. H. (2012). The role of psychotic disorders in religious history considered. Journal of Neuropsychiatry and Clinical Neurosciences, 24(4), 410426. https://doi.org/10.1176/appi.neuropsych.11090214 Google ScholarPubMed
Nadeau, K. G. (2005). Career choices and workplace challenges for individuals with ADHD. Journal of Clinical Psychology, 61(5), 549563. https://doi.org/10.1002/jclp.20119 CrossRefGoogle ScholarPubMed
Neubert, J. C., Mainert, J., Kretzschmar, A., & Greiff, S. (2015). The assessment of 21st century skills in industrial and organizational psychology: Complex and collaborative problem solving. Industrial and Organizational Psychology, 8(2), 238268. https://doi.org/10.1017/iop.2015.14 CrossRefGoogle Scholar
Nishii, L. H., & Mayer, D. M. (2009). Do inclusive leaders help to reduce turnover in diverse groups? The moderating role of leader–member exchange in the diversity to turnover relationship. Journal of Applied Psychology, 94(6), 14121426. https://doi.org/10.1037/a0017190 CrossRefGoogle ScholarPubMed
O’Riordan, M., & Passetti, F. (2006). Discrimination in autism within different sensory modalities. Journal of Autism and Developmental Disorders, 36(5), 665675. https://doi.org/10.1007/s10803-006-0106-1 Google ScholarPubMed
Ortega, F. (2009). The cerebral subject and the challenge of neurodiversity. BioSocieties, 4(4), 425445.CrossRefGoogle Scholar
Paetzold, R. L., García, M. F., Colella, A., Ren, L. R., Triana, M. D. C., & Ziebro, M. (2008). Perceptions of people with disabilities: When is accommodation fair? Basic and Applied Social Psychology, 30(1), 2735. https://doi.org/10.1080/01973530701665280 CrossRefGoogle Scholar
Parr, A. D., Hunter, S. T., & Ligon, G. S. (2013). Questioning universal applicability of transformational leadership: Examining employees with autism spectrum disorder. Leadership Quarterly, 24(4), 608622. https://doi.org/10.1016/j.leaqua.2013.04.003 CrossRefGoogle Scholar
Patton, E. (2019). Autism, attributions and accommodations: Overcoming barriers and integrating a neurodiverse workforce. Personnel Review, 48(4), 915934. https://doi.org/10.1108/PR-04-2018-0116 CrossRefGoogle Scholar
Peterson, R. L., & Pennington, B. F. (2012). Developmental dyslexia. Lancet, 379, 19972007. https://doi.org/10.1016/S0140-6736(12)60198-6 Google ScholarPubMed
Pisano, G. P., & Austin, R. D. (2016). SAP SE: Autism at work. Harvard Business School Case Study. HBA No. 616-042.Google Scholar
Ragins, B. R. (2008). Disclosure disconnects: Antecedents and consequences of disclosing invisible stigmas across life domains. Academy of Management Review, 33(1), 194215. https://doi.org/10.5465/amr.2008.27752724 CrossRefGoogle Scholar
Ruppert, E. (2010). Making populations: From censuses to metrics. Special issue of Leviathan (Berliner Zeitschrift für Sozialwissenschaft), 35, 157173.Google Scholar
Saner, E. (2007, August 7). It is not a disease, it is a way of life. Guardian. https://www.theguardian.com/society/2007/aug/07/health.medicineandhealth Google Scholar
Santuzzi, A. M., & Waltz, P. R. (2016). Disability in the workplace: A unique and variable identity. Journal of Management, 42(6), 11111135. https://doi.org/10.1177/0149206315626269 Google Scholar
Sargent, K. (2019). Designing for neurodiversity and inclusion. Work Design Magazine. https://www.workdesign.com/2019/12/designing-for-neurodiversity-and-inclusion.Google Scholar
Schneider, M. C., Gong, B., & Egan, K. L. (2015, March 25). Testing accommodations for students with Dyslexia: Key opportunities to understand student thinking. Center for Assessment. https://www.nciea.org/library/testing-accommodations-students-dyslexia-key-opportunities-understand-student-thinking Google Scholar
Schneps, M. H. (2014, August 19). The advantages of dyslexia. Scientific American. https://www.scientificamerican.com/article/the-advantages-of-dyslexia/.CrossRefGoogle Scholar
Shah, A., & Frith, U. (1983). An islet of ability in autistic children: A research note. Journal of child Psychology and Psychiatry, 24(4), 613620.CrossRefGoogle ScholarPubMed
Shaywitz, S. E. (1996). Dyslexia. Scientific American, 275(5), 98104. https://doi.org/10.1038/scientificamerican1196-98 CrossRefGoogle ScholarPubMed
Silverstein, C. (2009). The implications of removing homosexuality from the DSM as a mental disorder. Archives of Sexual Behavior, 38(2), 161163. https://doi.org/10.1007/s10508-008-9442-x Google ScholarPubMed
Singer, J. (2017). Neurodiversity: The birth of an idea. Author.Google Scholar
Sparrow, M. (2018, February 26). Why is the autistic unemployment rate so high? Thinking Person’s Guide to Autism. http://www.thinkingautismguide.com/2018/02/why-is-autistic-unemployment-rate-so.htm lGoogle Scholar
Stein, J. (2001). The magnocellular theory of developmental dyslexia. Dyslexia, 7(1), 1236. https://doi.org/10.1002/dys.186 CrossRefGoogle ScholarPubMed
Taylor, C. (2019, October 14). People with dyslexia have the skills to future-proof the workforce, research claims. CNBC. https://www.cnbc.com/2019/10/14/people-with-dyslexia-have-the-skills-to-future-proof-the-workforce-ey.html Google Scholar
Verheul, I., Rietdijk, W., Block, J., Franken, I., Larsson, H., & Thurik, R. (2016). The association between attention-deficit/hyperactivity (ADHD) symptoms and self-employment. European Journal of Epidemiology, 31(8), 793801. 10.1007/s10654-016-0159-1 Google ScholarPubMed
Vlachos, F., Andreou, E., & Delliou, A. (2013). Brain hemisphericity and developmental dyslexia. Research in Developmental Disabilities, 34(5), 15361540. https://doi.org/10.1016/j.ridd.2013.01.027 CrossRefGoogle ScholarPubMed
von Károlyi, C., & Winner, E. (2004). Dyslexia and visual spatial talents: Are they connected? In Newman, T. M. & Sternberg, R. J. (Eds.), Students with both gifts and learning disabilities (pp. 95118). New York: Springer. https://doi.org/10.1007/978-1-4419-9116-4_6 CrossRefGoogle Scholar
von Károlyi, C., Winner, E., Gray, W., & Sherman, G. F. (2003). Dyslexia linked to talent: Global visual-spatial ability. Brain and Language, 85(3), 427431. https://doi.org/10.1016/S0093-934X(03)00052-X CrossRefGoogle ScholarPubMed
Watson, W. E., Kumar, K., & Michaelson, L. K. (1993). Cultural diversity’s impact on inter-action process and performance: Comparing homogenous and diverse task groups. Academy of Management Journal, 36(3), 590602. https://doi.org/10.5465/256593 CrossRefGoogle Scholar
Weeber, J. E. (2004). Disability community leaders’ disability identity development: A journey of integration and expansion. [Unpublished doctoral dissertation]. North Carolina State University.https://repository.lib.ncsu.edu/bitstream/handle/1840.16/5952/etd.pdf?isAllowed=y&sequence=1 Google Scholar
Wegman, L. A., Hoffman, B. J., Carter, N. T., Twenge, J. M., & Guenole, N. (2018). Placing job characteristics in context: Cross-temporal meta-analysis of changes in job characteristics since 1975. Journal of Management, 44(1), 352386. https://doi.org/10.1177/0149206316654545 CrossRefGoogle Scholar
White, H. A., & Shah, P. (2006). Uninhibited imaginations: Creativity in adults with attention-deficit/hyperactivity disorder. Personality and Individual Differences, 40(6), 11211131. https://doi.org/10.1016/j.paid.2005.11.007 CrossRefGoogle Scholar
White, H. A., & Shah, P. (2011). Creative style and achievement in adults with attention-deficit/hyperactivity disorder. Personality and Individual Differences, 50(5), 673677. https://doi.org/10.1016/j.paid.2010.12.015 CrossRefGoogle Scholar
Wood, V. (2019, October 21). GCHQ targeting dyslexic and neurodiverse people in recruitment drive, spy chief says. Independent. https://www.independent.co.uk/news/uk/home-news/gchq-jobs-recruitment-intelligence-spy-jeremy-fleming-dyslexia-disability-neurodiversity-a9163996.html Google Scholar
World Economic Forum. (2020, October 21) What are the top 10 job skills for the future? https://www.weforum.org/agenda/2020/10/top-10-work-skills-of-tomorrow-how-long-it-takes-to-learn-them/ Google Scholar
Zabelina, D., Saporta, A., & Beeman, M. (2016). Flexible or leaky attention in creative people? Distinct patterns of attention for different types of creative thinking. Memory & Cognition, 44, 488498. https://doi.org/10.3758/s13421-015-0569-4 CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Strengths and Challenges of the Neuroatypical Worker