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This study aims to explore psychological safety as a potential moderating mechanism for the relation between functional diversity and individual perceptions of learning, and functional diversity and team performance in self-assembled teams.

To test these relationships, the authors conducted a cross-level, time-lagged, quasi-experiment, using a sample of 143 self-assembled teams. In one condition, participants formed into functionally diverse teams, and in another condition, participants formed functionally homogeneous teams.

Results suggest that functional diversity and psychological safety have an interactive effect on both individual learning and self-assembled team performance, albeit in different directions. Specifically, low psychological safety was more deleterious for individuals on functionally diverse teams than functionally homogeneous teams when it came to perceptions of learning, but the opposite was true when it came to team performance.

The results of this study indicate that it is critical to train team members on developing psychological safety, both in traditional and functionally diverse contexts.

The function of cognitive diversity has not yet been studied to a sufficient degree. To address this gap, the current study aims to answer the questions of how and when team cognitive diversity fosters individual creativity by integrating the intellectual capital view and the inclusion literature.

With a paired and time-lagged sample consisting of 368 members and 46 leaders from Chinese high-tech organizations, a multilevel moderated mediation model was developed to test the hypothesized relationships using structural equation modeling.

Team cognitive diversity is positively related to individual creativity via team intellectual capital, but this positive indirect effect is obtained only when the inclusive team climate is high.

Team intellectual capital serves as an alternative mechanism for translating team cognitive diversity into favorable outcomes, and an inclusive team climate plays a pivotal role in harvesting the benefits of team cognitive diversity. Future research could extend our study by adopting a multiwave longitudinal or experimental design, examining the possibility of curvilinearity, considering the changes in patterns over time, and conducting cross-cultural studies.

Managers should take the initiative to assemble a team featuring cognitive diversity when facing creative tasks, and should proactively cultivate an inclusive culture when leading such a team.

This study is among the first to consider the mediating role of team intellectual capital in the cross-level effect of team cognitive diversity on individual creativity and to examine the boundary role of an inclusive team climate with respect to this indirect effect.

This study aims to explore the effects of expertise diversity on project efficiency and creativity in health-care project teams.

This study analyzes hierarchical linear models using multi-source data from 50 project teams in a large health-care organization in the USA. This data set includes self-reported survey responses from 274 team members and human resource information for all 515 members across the 50 teams. Expertise diversity is operationalized by professional diversity and positional diversity reflecting two dimensions, domain and level, of the concept of expertise.

This study reveals that professional diversity is negatively related to project efficiency and project creativity, whereas positional diversity is positively related to project efficiency.

Successfully managing a project team of experts within a limited time frame is a challenge for organizations. This study advances the understanding of the double-edged sword effect of expertise diversity on project teams, focusing on professional and positional diversity. It provides important insights for human resource development in terms of the composition of project teams regarding members’ expertise.

Creativity is a strongly context related, collective and collaborative task across multiple boundaries that are of immaterial and material nature. Numerous factors play a role in the emergence of creativity. Leadership styles and diversity have undoubtedly an impact on team creativity. Creative teams face many processes inherent paradoxes which leaders and members need to balance and overcome together. According to the observations and research findings discussed in this chapter, effective management of diversity for creativity requires a ‘humble leadership’ style as well as different communication competencies and strategies. This book chapter provides theoretical and practical insights for those responsible for diversity management in creative teams, based on two empirical studies conducted between 2019 and 2022. Competencies and strategies are presented that may help leaders and teams navigate through highly dynamic, paradoxical interaction processes and, thus, turn their diversity into a creativity asset. In addition, a glimpse of the Team Creativity Navigator (TCN) is offered, which is a new assessment and development tool that supports leaders’ and team members’ learning processes for inclusive, creativity enhancing collaboration. As such, our chapter is an empirically based conceptual contribution with the objective of providing practitioners (and researchers) with insights into appropriate strategies to boost creativity in diverse teams.

The development of information technologies has fueled the emergence of online self-organizing teams that involve members with diverse backgrounds to work on a shared goal voluntarily. However, the differences in members' attributes give rise to diversity. Therefore, the authors’ research is to figure out how diversity affects team performance in the context of online self-organizing teams and how this effect changes over team tenure.

The authors use a dynamic approach to the diversity-team performance relationship and collect a publicly longitudinal dataset on 3,970 collaborative items from 2,550 online self-organizing teams spanning nine years in an open innovation community of an online game.

The empirical results show that culture separation is negatively related to team performance, and this negative relationship weakens as team tenure increases. While skill variety and contribution disparity are positively related to team performance, and these positive relationships strengthen as team tenure increases.

The study provides a research framework to examine the relationship between diversity and team performance and explore how this relationship varies over team tenure in the context of online self-organizing teams. The results not only demonstrate the double-edged role of diversity in affecting the success of online self-organizing teams but also advance the understanding on the temporal effect of diversity on team performance.

Previous studies may have overstated the benefits of entrepreneurial resilience while neglecting its potential adverse effects, especially in the context of team entrepreneurship. This study focuses on the structural characteristics of resilience, entrepreneurial team resilience diversity, to delve into the potential dark side effects of entrepreneurial resilience. Drawn upon the similarity-attraction theory, this study investigates the detrimental impact of entrepreneurial team resilience diversity on entrepreneurial performance from the team-member exchange (TMX) perspective, which describes the reciprocal relationships within a team and the moderating effect of environmental hostility.

The study collected data by conducting a two-wave survey. With the assistance of officials from entrepreneurship service agencies, entrepreneurship parks and entrepreneurship training institutions in southeast China, this study collected survey data from 361 participants of 91 entrepreneurial teams. The current research conducted empirical tests with SPSS and PROCESS macro to test the hypotheses.

Empirical results from a two-wave survey of 91 entrepreneurial teams in China reveal the detrimental effects of entrepreneurial resilience. In the context of team entrepreneurship, the diversity of a team’s entrepreneurial resilience negatively impacts entrepreneurial performance by impairing the quality of TMX. Moreover, the indirect effect of TMX is strengthened in more hostile environments.

Existing studies have mainly focused on the positive side of resilience. However, based on the similarity-attraction theory, this study explores the potential adverse effects of the structural characteristics of entrepreneurial team resilience from the perspective of team-member exchange (TMX). This study enriches the literature on resilience by demonstrating how resilience functions in new venture teams and challenges the assumption that resilience is universally beneficial to entrepreneurs. Introducing team members with high resilience in a hostile environment may not always benefit the team, deepening the understanding of entrepreneurial resilience when confronting adversities.

This paper aims to comprehensively investigate the multifaceted realm of Initial Coin Offerings (ICOs), delving into their unique characteristics, analyzing their far-reaching influence, and uncovering broader implications within the ever-evolving financial landscape. By addressing the research gap concerning the impact of team diversity on ICO success, we contribute nuanced insights to the existing discourse. Through meticulous data collection and econometric modeling, our purpose is to unravel the intricate dynamics at play, offering valuable perspectives on the transformative role of ICOs and the potential significance of team diversity in shaping their outcomes.

To explore the impact of team diversity on the success of Initial Coin Offerings (ICOs), we compiled a comprehensive database comprising 3,082 profiles and 309 projects from LinkedIn, ICOBench, and Coindesk. This dataset facilitated the creation of diverse variables for our econometric model, enabling a nuanced analysis of interactions and dynamics in the context of our research question. Through this methodical approach, we aim to contribute valuable insights into the role of team diversity in shaping the outcomes of ICO campaigns.

Our analysis of 3,082 profiles and 309 projects sheds light on the intricate dynamics of Initial Coin Offerings (ICOs). Team diversity emerges as a pivotal factor, significantly impacting the success of ICO campaigns. The econometric model, enriched with variables derived from our extensive dataset, reveals nuanced interactions. Teams characterized by diverse profiles exhibit a tangible influence on campaign outcomes, underscoring the importance of inclusivity in shaping the transformative potential of ICOs. These findings contribute valuable insights into the evolving landscape of financial innovation, emphasizing the role of diverse teams in navigating the complexities of decentralized, inclusive investment paradigms.

This study contributes to the evolving discourse on Initial Coin Offerings (ICOs) by pioneering an exploration into the uncharted territory of team diversity and its impact on campaign success. While previous research has delved into ICO performance and success variables, our focus on team diversity as a critical determinant presents a novel perspective. By methodically assembling a substantial dataset and applying an intricate econometric model, we offer a unique lens through which to understand the nuanced interplay of diverse teams in shaping the outcomes of ICOs. This fills a significant research gap and provides valuable insights into the multifaceted dynamics of contemporary financial innovation.

Although strategic scholars have made great effects to exploring the moderating roles of team interaction in explaining the effect of top management team (TMT) diversity, they have adopted seemingly conflicting theoretical perspectives to explain how it works. Drawing on ideas from the threat rigidity theory, the authors integrated these perspectives by proposing a contingency model in which the relationships between TMT diversity and adaptive firm performance depend on the matching between the internal context (i.e. overlapping team tenure) and external context (i.e. severity of threat).

This study sampled 579 Chinese A-share listed companies that have been severely affected by the COVID-19 pandemic, and multilevel linear regression analysis was used to test the hypothesis.

Results provided support for this hypothesis. Specifically, the interaction between TMT age/tenure diversity and overlapping team tenure is significant only when the severity of threat is high, while the interaction between TMT functional diversity and overlapping team tenure is significant only when the severity of threat is low.

The results of this study provide a comprehensive perspective to predict the performance impact of team diversity and contribute to diversity research and practice.

This research examines the effect of team diversity on customer behavior (purchase likelihood) associated with sustainable luxury products and further considers the mediating role of customer skepticism and the moderating role of the growth mindset in these relationships.

Study 1 aims to confirm the direct effect of team diversity on purchase intention and the mediating effect of customer skepticism. Featuring a fictitious brand, Study 2 seeks to test the moderating effects of a growth mindset. This research recruits participants located in the USA who have shopping experiences with a luxury product.

The findings support the notion that team diversity can mitigate customers' skepticism while enhancing purchase likelihood. Moreover, this effect is stronger among those with a growth mindset. As such, the findings suggest that communicating the heterogeneous composition of team members can benefit sustainable luxury brands.

Underpinned by the signaling theory and incremental theory, this research examines the effects of team diversity on customer behavior (purchase likelihood) related to sustainable luxury products, as well as the role of customer skepticism (as a mediator) and a growth mindset (as a moderator) in these relationships. Thus, the findings broaden the current diversity research which has predominantly focused on team decision-making and performance.

This study aims to propose a combined effect framework to explore the relationship between research and development (R&D) team networks, knowledge diversity and breakthrough technological innovation. In contrast to conventional linear net effects, the article explores three possible types of team configuration within enterprises and their breakthrough innovation-driving mechanisms based on machine learning methods.

Based on the patent application data of 2,337 Chinese companies in the biopharmaceutical manufacturing industry to construct the R&D team network, the study uses the K-Means method to explore the configuration types of R&D teams with the principle of greatest intergroup differences. Further, a decision tree model (DT) is utilized to excavate the conditional combined relationships between diverse team network configuration factors, knowledge diversity and breakthrough innovation. The network driving mechanism of corporate breakthrough innovation is analyzed from the perspective of team configurations.

It has been discerned that in the biopharmaceutical manufacturing industry, there exist three main types of enterprise R&D team configurations: tight collaboration, knowledge expansion and scale orientation, which reflect the three resource investment preferences of enterprises in technological innovation, network relationships, knowledge resources and human capital. The results highlight both the crowding-out effects and complementary effects between knowledge diversity and team network characteristics in tight collaborative teams. Low knowledge diversity and high team structure holes (SHs) are found to be the optimal team configuration conditions for breakthrough innovation in knowledge-expanding and scale-oriented teams.

Previous studies have mainly focused on the relationship between the external collaboration network and corporate innovation. Moreover, traditional regression methods mainly describe the linear net effects between variables, neglecting that technological breakthroughs are a comprehensive concept that requires the combined action of multiple factors. To address the gap, this article proposes a combination effect framework between R&D teams and enterprise breakthrough innovation, further improving social network theory and expanding the applicability of data mining methods in the field of innovation management.