Hierarchical bullying in public healthcare organizations is an entrenched negative behaviour that results in a range of adverse outcomes for staff, including diminished wellbeing. This study integrates social exchange and conservation of resources theories as a lens for formulating hypotheses and employs multilevel statistical modelling to examine whether team-level compassion moderates the impact of hierarchical bullying on wellbeing. Using multilevel statistical modelling, the study analysed cross-sectional data from 632 healthcare workers nested within 48 teams in a single public health district in Australia. The findings indicate that work teams with higher levels of team compassion can mitigate the negative effects of hierarchical bullying on employee wellbeing. The results imply that investing in developing compassion within teams is an effective strategy for mitigating some harmful effects of hierarchical bullying on employee outcomes.

The effectiveness of entrepreneurial leadership (EL) at different levels has been widely recognized by scholars who have carried out substantial exploration; however, the empirical studies on the effectiveness of EL are scattered and their results are mixed. This study aims to organize these findings, advance knowledge about the multilevel effectiveness of EL and clarify the heterogeneity in the relationship between EL and effectiveness outcomes. Based on a systematic review of the extant literature and the construction of an integrated framework, this study examines the influence of EL on effectiveness outcomes at multiple levels and the moderators of this relationship through meta-analysis of 35 empirical studies including 35 independent samples. The results show that EL can improve effectiveness outcomes at different levels of organization, team and individual; cultural context obviously moderates this relationship, whereas the moderating effects of enterprise type and EL measure are all not significant. This study helps to determine the specific association of EL with effectiveness outcomes at different levels, and identify important factors influencing this relationship, which broadens the understanding of leadership effectiveness and provides certain value for enterprises to give full play to the role of EL at all levels.

Caesarean section delivery rates in India have doubled from 9% in 2005–06 to 17% in 2015–16, increasing the clinical and economic burden on the health care system. This study applied multilevel models to assess the role of household- and community-level factors in Caesarean section (CS) deliveries among low-risk women in India using data from Round 4 of the National Family Health Survey (NFHS-4) conducted in 2015–16. The sample size was 59,318 low-risk women who had their last birth in an institution during the 5 years preceding the survey. These women were nested in 57,279 households, which were nested in 22,183 communities, which were further nested in 640 districts in India. Around 21% of the low-risk women and 24% of all women who had delivered in an institution had undergone CS. The CS rates among low-risk women were extremely high in private institutions (40%) and in southern India (43%). The explanatory variables age, education of women, household wealth and number of antenatal visits were significantly positively associated, while women’s parity was negatively associated, with CS delivery among low-risk women. The multilevel analysis suggested that the likelihood of a low-risk woman opting for CS was influenced by a similar decision of another woman from the same household (37%) and/or community (18%). Furthermore, women with low-risk pregnancies from higher educated communities were less likely (OR 0.92) to undergo CS. There is therefore a need for a community-level awareness programme on the risks and benefits of low-risk CS and vaginal delivery, particularly in the southern region of India.

Recent research on morality policy has focused on policy change, morality framing and the presence of favourable cultural opportunity structures (COSs). The resulting literature describing various aspects of morality policy has failed to discuss the impact of multilevel dynamic in this field. This contribution examines gambling policy in Italy, applying a multilevel approach to detect the presence of favourable COSs, and whether policymakers frame policies morally. Italy offers a particularly fertile field for the study of morality policy, featuring a liberal national approach versus local restrictive policy. By applying a methodology based on semistructured interviews and secondary sources, we examine the national and local political spheres, demonstrating that morality framing, when detected, is more likely to be found at the local level where the influence of experts and interest groups on legislators may result in the transformation of a health policy based on paternalistic considerations.

Building on prior work regarding the potential for peer contagion or deviance training in group delivered interventions (Dishion & Dodge, 2005, 2006; Dodge, Dishion, & Lansford, 2006), we leveraged data from a randomized trial, testing the integration of two preventive interventions (Promoting Alternative THinking Strategies and PAX Good Behavior Game), to explore the extent to which classroom contextual factors served as either a barrier to or a motivator for teachers to implement the evidence-based PAX Good Behavior Game with high frequency or dosage. We included students’ baseline levels of behavior, measured with regard to both positive (i.e., engagement and social emotional skills) and negative (i.e., hyperactive and aggressive-disruptive) behaviors. Data were collected from 204 teachers in 18 urban elementary schools. A series of multilevel structural equation models were fit to the data. The analyses indicated that classrooms with higher classroom levels of aggressive behavior, on average, at baseline had teachers with lower implementation dosage (i.e., played fewer games) across the school year. In addition, teachers who reported higher baseline levels of emotional exhaustion, regardless of student behavior, also reported lower implementation dosage. Taken together, the results indicated that negative, but not positive, contextual factors at baseline were related to lower implementation dosage; this, in turn, suggests that negative contextual factors may serve as a barrier, rather than a motivator, of teachers’ implementation dosage of classroom-based preventive interventions.

In this article, three important issues in organizational multilevel research are discussed and clarified, namely: (a) The interpretation of “cross-level direct effects” in theoretical and research multilevel models, (b) the specification of the emergence processes involved in higher-level constructs, and (c) the sample size recommendations for using multilevel statistical methods. By doing so, this article hopes to contribute to the improvement of organizational multilevel research.

Family business owners and researchers tend to overwhelmingly focus on the top-level structure of firms but ignore the middle-level practice – involving family members in the middle-management team. Compared to top managers at the strategic apex, middle-level managers are mainly responsible for internal operations and control, and the composition of the middle-management team has an immediate and direct impact on the overall workforce efficiency of family firms. Integrating agency theory and organizational justice perspective, we proposed that family involvement in middle management would have a negative impact on the labor productivity of family firms. We further corroborated this effect by identifying three boundary conditions at the individual (i.e., familial CEO), organizational (i.e., firm size), and regional (i.e., labor mobility) levels. Using a sample of 1,284 privately owned family firms in China, we found that family involvement in middle management, measured as the percentage of familial middle-level managers, was negatively associated with labor productivity. Furthermore, this negative relationship existed only when the CEO is a family member rather than a professional manager, when the size of the firm is large rather than small, or when the firm is located in regions with low rather than high labor mobility. These findings contribute to family business literature and provide practical implications for human resource management in family firms.

Psychological capital (PsyCap) is a higher-order construct reflecting the psychological resources of hope, efficacy, resilience and optimism. This study adopted a multilevel approach to investigate relationships between team-level PsyCap and team- and individual-level outcomes. We also compared two compositional models of aggregation to represent team-level PsyCap. Findings revealed significant associations between team-level PsyCap and team- (performance and satisfaction) and individual-level (job satisfaction, turnover intent) outcomes, particularly when a referent-shift model of aggregation was employed. We also investigated PsyCap strength to explore the degree to which team member consensus regarding PsyCap perceptions may moderate these relationships. We found that team PsyCap strength had a significant influence in the prediction of most outcomes. Our findings emphasize the importance of fostering team-level positivity, as the benefits of team-level PsyCap can operate at both the individual and team level. Theoretical and practical implications of the findings are discussed, along with avenues for future research.

Mean curvature-based image registration model firstly proposed by Chumchob-Chen-Brito (2011) offered a better regularizer technique for both smooth and nonsmooth deformation fields. However, it is extremely challenging to solve efficiently this model and the existing methods are slow or become efficient only with strong assumptions on the smoothing parameter β. In this paper, we take a different solution approach. Firstly, we discretize the joint energy functional, following an idea of relaxed fixed point is implemented and combine with Gauss-Newton scheme with Armijo's Linear Search for solving the discretized mean curvature model and further to combine with a multilevel method to achieve fast convergence. Numerical experiments not only confirm that our proposed method is efficient and stable, but also it can give more satisfying registration results according to image quality.

Acknowledging that both analysts and practitioners face problems of meaningful categorization of social order in general, and the European political-administrative system in particular, this article suggests a conceptual frame through which European administrative order may be understood. Providing such a frame is important, because the catalogue of categories of the European Union (EU) polity developed so far fails to acknowledge its administrative dimension. Given that the ongoing political transformation in the EU implies ever more administrative interaction between political levels in order to coordinate, manage and implement policies, this administrative dimension becomes ever more important. This article thus sets out a threefold agenda: First, it offers a supplementary conceptual frame that takes the ‘administrative dimension’ seriously. It is suggested that the European politico-administrative organism should be conceived as a European multilevel administrative system (MLA) consisting of three dimensions: Institutional independence, integration and cooptation. Second, the article suggests how the MLA approach differs from one of its main conceptual rivals – the multilevel governance approach (MLG). Finally, the article offers some empirical illustrations of the value of the developed MLA approach for our understanding of the contemporary European administrative system.

An algebraic multilevel method is proposed for efficiently simulating linear wave propagation using higher-order numerical schemes. This method is used in conjunction with the Finite Volume Time Domain (FVTD) technique for the numerical solution of the time-domain Maxwell’s equations in electromagnetic scattering problems. In the multilevel method the solution is cycled through spatial operators of varying orders of accuracy, while maintaining highest-order accuracy at coarser approximation levels through the use of the relative truncation error as a forcing function. Higher-order spatial accuracy can be enforced using the multilevel method at a fraction of the computational cost incurred in a conventional higher-order implementation. The multilevel method is targeted towards electromagnetic scattering problems at large electrical sizes which usually require long simulation times due to the use of very fine meshes dictated by point-per-wavelength requirements to accurately model wave propagation over long distances.

Management researchers are being encouraged to collect multilevel, multisource, and longitudinal (MML) data. In this essay, I identify the barriers that researchers might encounter in gaining university ethics committee approval for MML designs and the challenges researchers face when conducting MML research in organizations. I offer suggestions to overcome these challenges. I further discuss some long-term consequences of MML designs for researchers' relationships with organizations and the progress of the management field as a whole.