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Multidimensional fit (MDF) has been coined as “elusive” and relevant to an individual’s social identity and self-concept, unfolding over time as individuals assess their fit relative to Person-Organization, Person-Vocation, Person-Job, and Person-Team Fit. In this chapter, the literature as it relates to the refugee employment journey, MDF, and HRM practices that facilitate or inhibit MDF is reviewed. Furthermore, in this study, the process-oriented view of the refuge path highlights the complexity of their experience, noting an array of antecedents as they relate to country, host country and individual differences, interventions through NGOs, refugee resettlement agencies, and organizations, as well as the less explored entrepreneurial path. These diverse paths and the process of finding fit, and the obstacles refugees face, are viewed through the lens of shocks and reassessment of MDF throughout their journey. Finally, the study’s outcomes illustrate individual wellbeing factors, organizational level benefits, as well as community level benefits to MDF.

Purpose – Criminal groups have long been central to explanations of crime and deviance. Yet, challenges in measuring their dynamic and transient nature meant that group-level explanations were often displaced in favor of individual-level ones. This chapter outlines how network methods provide a powerful tool for modeling the dynamic nature of criminal groups.

Approach – The chapter starts by providing a brief introduction to social network analysis, including key concepts and terminology. The chapter then focuses on the types of relational data available to study criminal groups, and how network methods can be used to delineate group boundaries. The chapter concludes by presenting a framework for understanding group dynamics from a network perspective, describing the contributions of network analysis to theories of group processes.

Findings – Network methods have provided meaningful advances to the study of group dynamics, leading scholars to revisit assumptions about the impact of group’ structure on delinquent behavior. Network studies of group dynamics have primarily focused on the cohesion–delinquency link (within-group structure) and the social contagion of conflict (between-group structure), highlighting important opportunities for the intersection of these two inquiries.

Value – Network methods provide a means to revisit and extend theories of crime and delinquency with a focus on social structure. The unique affinity between group dynamics and network methods highlights immense opportunities for expanding the knowledge of collective trajectories.

This literature review aims to explore the various aspects of psychological capital (PsyCap), including its theoretical foundations, measurement methods, and the factors directly associated with PsyCap.

The approach employed in this study is scientific document synthesis, with a specific emphasis on scholarly articles published between 2001 and 2023. The selection of articles is limited to those published in internationally renowned journals that are indexed by reputable databases, including ISI (WoS) and SJR (Scopus).

Psychological capital is closely linked to other concepts at different levels. Scholars are investigating various factors associated with PsyCap, including health, project success, service marketing, banking services. It is important to note that different research areas have varying conceptualizations and scales when it comes to PsyCap.

This literature review of related studies reveals a growing global interest among researchers in the concept of positive psychological capital. The research results have shown significant interest in the items related to PsyCap, and and the factors directly associated with it, including antecedents, mediators, moderators, and outcomes.

Students with disabilities have many obstacles to overcome and challenges to address as they go through the educational system. Besides challenges with academics, behavior, and social situations, these students also need to be able to transition throughout their educational careers from different grade levels to post-school outcomes. Transition for students with disabilities should include input from classroom teachers, school psychologists and other related school personnel, families, the community, and, of course, the student. Specifically, the student should be an integral part of the transition process and planning. This chapter focuses on transition in general, discusses data from the National Longitudinal Transition Study-2, and sets the stage for the rest of this volume.

The current study, which is based on social learning theory and social cognitive theory, intends to investigate the impact of entrepreneurial leadership on employee creativity at both the individual and team levels. In particular, the authors predict a mediating mechanism at both levels: employees’ entrepreneurial self-efficacy. Further, the authors consider whether the climate of support for innovation is a contextual element affecting the relationship between employees’ perceptions of entrepreneurial leadership and their own entrepreneurial self-efficacy.

The research hypotheses were tested using multilevel structural equation modeling on 191 employees nested in 49 entrepreneurial ventures in China.

The results indicated that entrepreneurial leadership positively correlates with employee creativity at individual level. Moreover, this study found that individual followers’ entrepreneurial self-efficacy partially mediates the association between individual perceptions of entrepreneurial leadership and employee creativity, whereas team members’ entrepreneurial self-efficacy fully mediates the association between team members’ perceptions of supervisors’ entrepreneurial leadership and employee creativity. Further, this research demonstrates the role of team-level climate of support for innovation as a boundary condition that strengthens the effect of entrepreneurial leadership on individual entrepreneurial self-efficacy.

Considering entrepreneurial self-efficacy to be a type of entrepreneurial context-specific self-efficacy, this study presents one of the first empirical examples of the mediating function of entrepreneurial self-efficacy in the association between entrepreneurial leadership and employee creativity. Additionally, this research demonstrates the role of team-level climate of support for innovation as a boundary condition that strengthens the effect of entrepreneurial leadership on individual entrepreneurial self-efficacy. Further, this study provides a methodological contribution by simultaneously assessing all three variables of the mediation process at the individual and team levels: entrepreneurial leadership, entrepreneurial self-efficacy and employee creativity.

This study examines women's reporting behaviors in US federal law enforcement and provides an exploratory analysis of individual and occupational variables to describe the women who respond assertively to reporting unlawful workplace behaviors.

Survey responses are collected from sworn female officers employed by two US federal law enforcement agencies who responded “yes” to having experienced sexual harassment (n = 368) and/or sexual discrimination (n = 410) in the workplace.

The findings suggest that individual characteristics such as age, as well as occupational variables such as grade level and tenure duration, significantly impact assertive reporting behaviors for sex-based discrimination.

The sample represents those respondents from only two organizations, limiting the sampling frame and generalizability.

While these findings are not promising for junior women working in law enforcement, they have important practical implications for agency decision-makers who want to eliminate or reduce unlawful behavior in the workplace.

Most of the literature on reporting sex-based discrimination, including sexual harassment, has focused on why women do not report unlawful behaviors in the workplace, while a limited number of scholars have identified who will respond more assertively when encountering such discriminatory behavior. This article builds on the latter by examining additional occupational and individual variables to the discussion.

Over the past two decades, the study of team resilience has evolved from focusing primarily on team performance to recognizing its importance in various aspects of team functioning, including psychological health, teamwork, and overall Well-Being. This evolution underscores the need for a broader, more inclusive understanding of team resilience, advocating for a shift from a narrow performance-centric view to a holistic perspective that encompasses the multifaceted impact of resilience on teams.

In advocating for this holistic perspective, this chapter reviews the extant literature, highlighting that resilience is not merely about sustaining performance but also about fostering a supportive, adaptive, and psychologically safe environment for team members. Significant areas for further exploration, including the nuanced nature of adversities teams face, the processes underpinning resilient behaviors, and the broad spectrum of outcomes resilience can influence beyond task performance are also discussed.

The chapter serves as a call to action for a more inclusive examination of how resilience manifests and benefits teams in organizational settings. The proposed shift in perspective aims to deepen understanding of team resilience, promoting strategies for building resilient teams that thrive not only in performance but in all aspects of their functioning.

This research aimed to determine the mediating effect of entrepreneurial self-efficacy on the relationship between entrepreneurial passion and leadership styles. Two hundred hardware and footwear entrepreneurs from the Las Malvinas Commercial Emporium, Lima, Peru were surveyed. The partial least squares structural equation modelling (PLS-SEM) multivariate statistical technique was applied for data analysis. It was found that there is a complementary mediating effect of entrepreneurial self-efficacy in the relationship between entrepreneurial passion and leadership styles. On the other hand, it was concluded that entrepreneurial passion has a positive influence on entrepreneurial self-efficacy. Likewise, there is a positive influence of entrepreneurial self-efficacy on leadership styles, and there is a positive influence of entrepreneurial passion for leadership styles. This research contributed theoretically to the academic literature and provided empirical evidence of the relationship of the proposed variables; it proved a new predictive and explanatory structural model that can now be used in future research worldwide and generated a model of the studied variables that are useful for both academia and the business world.

The current research aimed to investigate the external enablement role of Digital Infrastructures (DI) in the interplay of entrepreneurial cognitions and innovation.

Data from the Global Entrepreneurship Monitor (GEM) and Digital Economy and Society Index (DESI) were used for analyses. This yielded a sample of 8,601 Generation Z entrepreneurs operating in 25 European countries.

Applying hierarchical moderated regressions showed that socio-cognitive components of an entrepreneurial mindset (self-efficacy, risk propensity, opportunity identification) affect innovation among Generation Z entrepreneurs. More importantly, DI plays an external enablement role in the interplay of cognitions and innovation among Generation Z entrepreneurs.

This study contributes to the socio-cognitive theory of entrepreneurship by integrating an external enablement perspective into the study of cognitions and entrepreneurial outcomes (here, innovation). It contributes to the digital technology perspective of entrepreneurship by connecting the conversation about the socio-cognitive perspective of entrepreneurship regarding the role of cognitions in innovation to the conversation in information systems (IS) regarding technology affordances and constraints. This study extends the application of the external enabler framework to the post-entry stage of entrepreneurial activity and integrates a generational perspective into it.

Complex mechanical 3D computer-aided design (CAD) model embodies rich implicit design knowledge. Through discovering the key function parts and key function module in 3D CAD assembly model in advance, it can promote the designers’ understanding and reuse efficiency of 3D assembly model in design reuse.

An approach for discovering key function module in complex mechanical 3D CAD assembly model is proposed. First, assembly network for 3D CAD assembly model is constructed, where the topology structure characteristics of 3D assembly model are analyzed based on complex network centrality. The degree centrality, closeness centrality, betweenness centrality and mutual information of node are used to evaluate the importance of the parts in 3D assembly model. Then, a multi-attribute decision model for part-node importance is established, and the comprehensive evaluation for key function parts in 3D assembly model is accomplished by combining Analytic Hierarchy Process and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). Subsequently, a community discovery of function module in assembly model-based Clauset–Newman–Moore (CNM)-Centrality is given in details. Finally, 3D CAD assembly model of worm gear reducer is taken as an example to verify the effectiveness and feasibility of proposed method.

The key function part in CAD assembly model is evaluated comprehensively considering assembly topology more objectively. In addition, the key function module containing key function part is discovered from CAD assembly model by using CNM-Centrality-based community discovery.

The approach can be used for discovering important design knowledge from complex CAD assembly model when reusing the assembly model. It can help designers capture and understand the design thinking and intent, improve the reuse efficiency and quality.

The paper first proposes an approach for discovering key function module in complex mechanical 3D CAD assembly model taking advantage of complex network theory, where the key function part is evaluated using node centrality and TOPSIS, and the key function module is identified based on community discovery.