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Prior research on supply chain management has advanced substantially our understanding of how suppliers’ knowledge affects manufacturers’ green innovation. However, overlooking the suppliers’ diverse green knowledge in supplier networks, namely, green knowledge diversity, has limited our understanding of both supply chain management and green innovation development. To address this important issue, this study aims to rely on social network theory as the overarching framework and knowledge-based view as the underlying theoretical foundation to examine how green knowledge diversity contributes to manufacturers’ green innovation performance, while considering three types of supplier network properties (network strength, network heterogeneity and network density).

This study collects both survey and secondary proxy data from 209 manufacturing firms over three time periods (mid-2018, mid-2019 and mid-2020). PROCESS macro is applied to test the research hypotheses.

The results provide compelling evidence that green knowledge management processes partially mediate the effect of green knowledge diversity on manufacturers’ green innovation performance. The effect of green knowledge diversity is strengthened by supplier network strength and supplier network heterogeneity, but hindered by supplier network density.

This study provides a practical guide to help manufacturers enhance green innovation performance by properly managing and leveraging their suppliers’ diverse green knowledge domains in supplier networks.

This study contributes to the supply chain management and green innovation literature by offering novel theoretical and empirical insights into how manufacturers can use their supplier networks to strengthen green innovation.

Businesses are increasingly using teams as their fundamental organisational unit. This paper aims to explore the impact of demographic antecedents and the social‐network structure, measured in terms of task‐related advice‐network density, centralisation and fragmentation, on work‐team performance. The paper seeks to examine: the impact of the social‐network structure (dense, fragmented or centralised) on work‐team performance and the origins of the social structure. It also tests whether team diversity (in terms of variety with regard to gender and separation with regard to age and education) has an impact on team performance.

A survey was conducted on 76 work teams (499 employees) representing 48 different organisations.

With regard to the first question, density was positively related to team performance. The impact of advice‐network fragmentation was also positive, and this is in line with the results of other studies focusing on teams conducting standard tasks. In addressing the second question the paper explored whether diversity as variety (age) and diversity as separation (age and education) had an effect on the work team's social‐network structure. Age and education had no effect, but gender diversity was related negatively to density and positively to fragmentation. It was also related negatively to team performance.

The contribution of this research is twofold in that it explores social‐structure effects on team performance and examines the possible antecedents of the team's social structure. The results of the investigation strengthen the rationale behind integrating the literature on social‐network analysis and teams.

Purpose – The purpose of this chapter is to explore the effects of team composition on justice climate strength. Specifically, we adopt a social network approach to justice in teams to explore the social-psychological mechanisms underlying diversity effects.

Design/methodology/approach – Using data from 80 self-managed project teams, we consider the impact of surface-level and deep-level diversity in teams on member social network ties and subsequently dispersion in their perceptions of procedural and interpersonal justice.

Findings – The results showed that diversity in team members’ psychological attributes – specifically, preferences for individualism – were associated with variability in members’ attachment to the team. In contrast, team gender and racial diversity were not significantly related to member social network ties. The results also demonstrated a relationship between network tie diversity and both procedural and interpersonal justice climate strength, such that variability in members’ attachment to the team was related to variability in their justice perceptions.

Overall, these findings demonstrate that teams characterized by higher levels of deep-level diversity may experience greater variability in their social interactions, which amplify variability in members’ justice perceptions.

Implications – Practically, these findings suggest that potential performance advantages of informational diversity in teams may come at a cost, as such diversity may reduce the quality of members’ justice experiences. Theoretically, they provide insight into the nature of the relationship between diversity and justice, which is largely dependent on the social psychological processes evoked by diversity. They also highlight team social networks as a useful means for examining such processes and understanding the operation of justice in teams.

The paper has two purposes: to introduce a new perspective on power and resistance in equalities work; and to trouble either or theorisations of success and failure in this work. Instead it offers a new means of exploring micro‐practice.

The paper applies/develops an “actor network theory” (ANT) analysis to a single case study of Iopia, a Black woman equalities practitioner working in a prison education context. It uses this to explore the ways in which Iopia interacts with a variety of human and non‐human objects to challenge racism in this context.

Iopia, from an initial position of marginality (as a Black woman experiencing racism) is able to establish herself (by virtue of this same identity as a Black woman combating racism) as central to a “new” network for equality and diversity. This new network both challenges and sustains narrow exclusionary definitions of diversity. Thus, Iopia's case provides an example of the contradictions, and paradox, experienced by those working for equality and diversity.

In the future, this type of feminist ANT analysis could be more fully developed and integrated with critical race and other critical cultural theories as these relate to equalities work.

The approach, and, in particular, the notion of translation, can be used by practitioners in thinking through the ways in which they can use material objects to draw in multiple “others” into their own networks.

The article is one of the first to explore equalities workers via the lens of ANT. It is unique in its analysis of the material objects constituting both diversity workers and diversity work and thus its analysis of diversity workers and their work as part of a complex set of social and “material” relations.

This paper sets out to test the mediating role of internal network density and external network range in the relationship between educational diversity (i.e. separation and variety) and group effectiveness.

The authors surveyed 267 employees in 54 organizational groups.

The study's results show that educational separation has a U‐shaped relationship with the advice network density. Moreover, educational variety moderates the relation of educational separation with external network range in such a way that for groups with high educational variety, the relationship between educational separation and external network range is U‐shaped, while for groups with low educational variety the relationship has an inverted U shape. The results also show that internal network density and external network range mediate the relationship between educational diversity and group effectiveness.

The paper extends the literature on group diversity by simultaneously exploring two forms of educational diversity (separation and variety) as they relate to group network density and external network range. The study is cross‐sectional, restricting causal inferences and future research should further explore the way in which the alignment of educational variety and separation relates to social network structure and group effectiveness.

Understanding the association between educational diversity and group social network structure and the way they relate to group effectiveness enables managers to improve group effectiveness.

The paper is one of the first to explore the curvilinear association between educational diversity and social network structure.

By exploring the relation between diversity and social network structures, these results increase understanding of how to address diversity issues at the societal level.

The purpose of this paper is to understand the effect of the network contract (NC) on the internationalization of Italian firms to evaluate whether and how network characteristics, management perceptions and governance influence firms’ degree of internationalization (DOI).

By using the data from a survey of 350 Italian firms that joined a network in 2012, hierarchical regression analyses were applied to test four hypotheses.

Network size and diversity as well as management attitudes and perceptions influence firms’ exports. However, only network diversity is positively related to the number of markets in which firms operate. A positive direct effect of network diversity on network managers’ activities and a significantly indirect effect via network managers’ activities also exist.

Network diversity is crucial for achieving better results in foreign markets. Interacting with diverse network participants can help firms manage diversity, expressed in terms of information, resources and competencies, helping overcome the barriers that hinder the internationalization process. The presence of an efficient network manager should facilitate the achievement of firms’ internationalization objectives.

This research is one of the first studies to analyze the effects of an Italian NC on firms’ internationalization. From a theoretical standpoint, it adds to the literature a specific analysis that relates primarily to small firms, showing that, in this context, the results are not always consistent with those of prior studies.

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.

Previous research has shown that social networks can be an important source of employment information, such as job leads, for both men and women. However, few studies have considered whether women and men benefit equally from having a diverse set of personal contacts. We argue that because previous research has not considered both the sex of the person providing job-related information and the sex of the person receiving the information, one cannot determine whether returns to network diversity differ by gender. We describe a unique data set that permits such an analysis, and report findings suggesting sex differences in returns to network diversity.

The objective of this paper is to leverage a two-sided view of social capital to develop a model of board gender diversity and firm performance using social capital data from Northeast Regional Center of Rural Development.

The authors examine a large sample of 2,322 US publicly listed firms over the period 1996 to 2009. The final sample consists of 14,634 firm-year observations.

The authors find that when a firm's social network is not supportive of gender diversity, corporate boards have lower levels of female representation. The strength of a social network's social ties exacerbates the relationship between social capital and board gender diversity. The authors also report a negative relationship between female board membership and firm performance in social networks that are not pro-diversity. Robustness tests reveal that the authors’ social capital view of board diversity also applies to board ethnic diversity.

This study focuses primarily on blue chip firms due to data constraints. It will be interesting for future researchers to investigate a broader spectrum of firms from a broader perspective of diversity beyond the study’s gender and ethnicity findings. Furthermore, this study assesses the US context, and future research could investigate firm sociability in other national contexts.

This study contributes new insights to the discourse on gender diversity on corporate boards which stand to inform both policy and practice. The results of the study can inform the position of an industry association on board gender diversity, with guidance on how messaging across networks can be more effective should it account for the hidden bias that the authors uncover in the current study. From a manager's perspective, this study can help those managers and boards trying to enhance board gender diversity by providing a more complete understanding of the factors that can limit progress.

This study contributes a social capital view of board gender diversity to the growing literature of corporate governance, board diversity and local environmental influences on corporate policies.

The authors aim to contribute to current knowledge on women's networks in organizations by exploring the strategies employed by members of women's networks, Human Resources (HR) management and senior line management to negotiate the role of these networks in their organizations.

The authors employ the theoretical perspective of micro-politics to analyze qualitative data they collected in an action research project using open-ended interviews and participant observation. The interviews were conducted with network board and active members, and members of their organizations' HR departments and senior management. Participant observation of the interviewees' interactions took place during facilitated workshops.

Adding to the literature, the authors find that members of the different parties employ different micro-political strategies. Many senior HR and management members demand that the networks' activities contribute to the organizations' diversity aims and bottom line. They largely avoid strategic cooperation with the networks. Most network members, in turn, resist the restricted role of the networks as an instrument to realize their organizations' business case. They claim some freedom to independently decide on the networks' strategies and activities. They resist being attributed tasks and responsibilities that they consider to reside with their organizations. Moreover, they try to sustain cooperative relationships with senior HR and management in an advisory role.

The action research approach enabled the authors to contribute to existing knowledge and extend the micro-politics theoretical perspective to include the collective agency of members of organizational groups and cooperation between these groups.