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Leadership is a social phenomenon. Therefore, it has to be examined according to its social context. The point to be underlined by the social context is the social network in which the leader emerges. Considering the studies, the social network side of leadership is relatively ignored comparing with sociometric studies. In that sense, the aim of this study is to reveal whether there is a relationship between the positions of the military personnel, who are defined as one of the gray-collar working groups in the literature, within the social network mechanisms of which they are members, and their self-leadership perceptions. To answer the question, a self-leadership scale was applied to 69 gray-collar employees working in a military unit and network analyses were performed. According to results, there is a strong, positive and significant relationship between the network mechanism centrality criteria indegree, reach centrality and closeness and the self-leadership perceptions of individuals. In addition, there was no significant relationship between eigenvector centrality and honest brokerage, which are among the network mechanism criteria, and the actors’ self-leadership perceptions. The study has aimed at accenting and adding different perspectives to the leadership studies and gray-collar literature.

The field of Human Resource Management (HRM) has long recognized the importance of interpersonal influence for employee and organizational effectiveness. HRM research and practice have focused primarily on individuals’ characteristics and behaviors as a means to understand “who” is influential in organizations, with substantially less attention paid to social networks. To reinvigorate a focus on network structures to explain interpersonal influence, the authors present a comprehensive account of how network structures enable and constrain influence within organizations. The authors begin by describing how power and status, two key determinants of individual influence in organizations, operate through different mechanisms, and delineate a range of network positions that yield power, reflect status, and/or capture realized influence. Then, the authors extend initial structural views of influence beyond the positions of individuals to consider how network structures within and between groups – capturing group social capital and/or shared leadership – enable and constrain groups’ ability to influence group members, other groups, and the broader organizational system. The authors also discuss how HRM may leverage these insights to facilitate interpersonal influence in ways that support individual, group, and organizational effectiveness.

The trade agreements among major trading countries can open new prospects of development and growth for global economy. The policy changes by a major trading country can alter the global trade and connection patterns. The trade agreement known as Trans-Pacific Partnership (TPP) was between 12 “Pacific-rim” countries signed earlier in 2016 indicates an upcoming and major policy change for global economy (presidential memorandum to withdraw the United States from TPP was signed in January 2017). The agreement would influence the issues related to “economic growth, employment, innovation, productivity, and competitiveness” of every partner and linked economy. This study illustrates how Asia Pacific’s major countries are interlinked with each other, the important sectors and the strength of connections. The level of interconnectedness might have been transformed within regional trade network because of varying global economic patterns and demand trends. The study focuses on the aspects related to agreement and reduction in tariffs that may change the global trading scenarios and appropriate position for region’s prominent and developing economies after implementation of the agreement.

In this chapter we examine the process by which new firms become central actors within their industry networks. We focus, in particular, on how relatively new venture capital (VC) firms become more central within investment syndication networks. We present a model that captures the relationships among (1) the social capital and status of the new VC firm's founders, (2) the VC firm's resource endowments, (3) the VC firm's ability to forge relationships with other prestigious and central venture capital firms, (4) the visibility-enhancing performance of portfolio firms, and (5) the urgency and effort exhibited by the new VC as it pursues these opportunities. These factors combine to shape a new VC's journey from the periphery to the center of its industry network. To illustrate these processes, we develop in-depth case studies of Benchmark Capital and August Capital, two VC firms founded in 1995. We then elaborate upon the enacted nature of resource and opportunity constraints and conclude with a discussion of how new firms create their own self-fulfilling prophecies.

This study examines the diffusion process of corporate sustainability (CS) in the global automotive industry. It discusses the different roles played by the automakers, as the industry’s focal firms, in diffusing CS strategies throughout their respective supply networks. Studies have explained this phenomenon as being the result of the higher levels of stakeholder exposure faced by focal firms, which generate higher levels of supplier sustainability risk. In this context, the authors examine the effects of three network-related firm characteristics – resource dominance, resource substitutability, and network centrality – in determining the effectiveness of a firm in diffusing CS in its network. For that purpose, we present a theoretical framework from which we derive a set of hypotheses and test them on a sample of the global automotive supply network containing 10,726 firms linked by 45,044 inter-firm relationships. The results lend significant support to the argument that these network-related firm attributes are crucial mechanisms to the process of diffusion of CS strategies in a supply network, thus contributing to extant literatures in strategic management, international business, and sustainable supply chain management.

The sharp increase in interest in social networks among marketing scholars and practitioners has coincided with the rapid proliferation of social networks among broader populations. Considering the substantial body of research that has emerged, it is an opportune time to reflect on the state of social network research (SNR) in marketing. Therefore, this chapter reviews recent marketing research, organized according to substantive areas of interest, followed by a discussion of critical dimensions of SNR for researchers, including network actor characteristics, modes, boundaries, impacts, and mechanisms, as well as the relevant level of analysis. By documenting how SNR can inform marketing decisions and influence marketing outcomes, this study also establishes recommendations for research to advance the state of SNR in marketing. A 2 × 2 classification schema reveals four categories that might guide scholars' choices of research designs, theories, constructs, and measures for SNR.

Organizational networks are generally considered major antecedents of mutual influence in adopting similar practices, typically via a structure of dense ties, or closure. We propose that under conditions of competitive interdependence, closure may be associated with links established to access resources and knowledge and become a possible source of differentiation rather than imitation. We test these and other antecedents of imitative behavior and performance in the Italian TV industry with 12 years of data on 501 productions. We find that network closure is associated with lower imitation, centrality, but not status, leads to imitation, and that imitation lowers performance.

Drawing upon Cabrera and Thomas-Hunt's (2006) theoretical framework for the advancement of executive women, we identify gender differences in social networks as an important determinant of the relative perceived credibility of men and women and the opportunities for hire and promotion available to them. A review of the existing research literature on gender and social networks is presented and several potentially fruitful avenues for future research in this area are discussed.

This chapter explores the data exchange relationships between stakeholders in a tourism domain as a means of assessing the potential application of open data initiatives. Social network analysis is utilized to analyze network relationships and explain the pattern and consequences of these relationships. Based on centrality and other network attributes, the analysis highlights the key influencers in the tourism data ecosystem examined, and suggests that initial steps towards implementing a tourism open data policy should focus on opening up tourism asset data, and relaxing current restrictive data exchange practices. The agency with responsibility for collecting and disseminating tourism asset data, is well positioned to become the data broker in an emergent tourism open data ecosystem.

This paper explores the origin of entrepreneurial orientations (EO) from an organizational embeddedness perspective. It examines the impacts of firms’ network embeddedness such as structural, positional and relational on three dimensions of EO, namely, risk-taking, proactiveness and innovativeness. After a brief review of the EO construct and social network theory, we derive a set of testable propositions that relate embeddedness properties such as centrality, structural holes, direct/indirect ties, and network density, to the magnitude of three key EO dimensions. We argue that each dimension may vary independently with each other and has its own formation mechanism, which entails rich implications for entrepreneurial network research.