Middle Managers' Divergent Strategic Activity: An Investigation of Multiple Measures of Network Centrality

abstract    Using a sample of 89 mid-level managers in a US based urban hospital, this study investigates relationships among three measures of network centrality and managers' divergent strategic activity. While prior work has demonstrated a relationship between managers' boundary-spanning responsibilities and strategic activity, inadequate attention has been paid to managers' internal network position. Drawing from established theory, we consider expected network flows associated with three elements of the strategic renewal process. From this, we hypothesize and test relationships among managers' divergent activity and three measures of network centrality. Our findings suggest specific relationships between alternative forms of network centrality and particular elements of the strategic renewal process. Consistent with existing research, the findings also show boundary-spanning managers to be more strategically active than their non-boundary-spanning counterparts.     

The Network‐Performance Relationship in Knowledge‐Intensive Contexts—A Meta‐Analysis and Cross‐Level Comparison

This study examines the generalizability of the network‐performance relationship across individual and group levels, focusing on knowledge‐intensive contexts. Drawing on a meta‐analytical approach, we synthesize the results of 102 empirical studies to test whether network characteristics such as centrality, brokerage, and tie strength similarly influence the job performance of individuals and groups. Results show that while there are no differences in the direction of the network‐performance relationship across levels, there are substantial differences in magnitude. Individual performance profits more strongly from a high number of direct connections, whereas groups reap higher benefits from brokerage positions. Additional analyses reveal that the network measurement method, tie content, and performance criteria function as moderators of the network performance relationship, but their influence is consistent neither across network characteristics nor across levels. By meta‐analytically comparing and contrasting the network‐performance relationship for individuals and groups, we contribute to multilevel research on networks and organizations. Particularly, we move toward the development of a multilevel homology theory of networks. Implications for theory, practice, and future research are discussed. © 2017 Wiley Periodicals, Inc.     

Network connectedness in vertical and horizontal manufacturing joint venture formations: A power perspective

In the supply chain management (SCM) domain, research has been advanced to understand the role of network structure in buyer-supplier relations. Yet, while there has been a substantial body of work investigating supply chain networks, little research has paid attention to how the network structure affects the power balance between manufacturers and suppliers. This study investigates, from a power perspective, the role that network connectedness plays in new equity based joint venture formations. As such, we further the understanding of supply chain networks by examining network structure as a mechanism from which firms derive power. We articulate several hypotheses rooted in both network and power theories by specifically examining, from a power perspective, factors such as eigenvector centrality, closeness centrality, and weak components centrality. Further, we differentiate between horizontal and vertical joint venture configurations and elucidate the moderating effect it has in engendering new manufacturing joint venture formations. Empirical results show that structural network based power is a significant explanatory mechanism in new joint venture formation, and specifically, that power is, and should be a primary consideration in supply chain partnership decisions.     

A study of employee affective organizational commitment and retention in Pakistan: the roles of psychological contract breach and norms of reciprocity

Abstract

Social exchange theory and notions of reciprocity have long been assumed to explain the relationship between psychological contract breach and important employee outcomes. To date, however, there has been no explicit testing of these assumptions. This research, therefore, explores the mediating role of negative, generalized, and balanced reciprocity, in the relationships between psychological contract breach and employees’ affective organizational commitment and turnover intentions. A survey of 247 Pakistani employees of a large public university was analyzed using structural equation modeling and bootstrapping techniques, and provided excellent support for our model. As predicted, psychological contract breach was positively related to negative reciprocity norms and negatively related to generalized and balanced reciprocity norms. Negative and generalized (but not balanced) reciprocity were negatively and positively (respectively) related to employees’ affective organizational commitment and fully mediated the relationship between psychological contract breach and affective organizational commitment. Moreover, affective organizational commitment fully mediated the relationship between generalized and negative reciprocity and employees’ turnover intentions. Implications for theory and practice are discussed.     

Performance implications of centrality in franchisee advice networks

Although the literature has provided ample evidence for the decisiveness of the franchisor–franchisee relationship in explaining organizational success or failure, performance effects of franchisee–franchisee relationships remain largely unexplored. Yet a growing body of research indicates that by building interfranchisee relationships, franchisees can form advice networks in the chain. Such networks offer privileged access to resources such as knowledge, information, and best practices that help individual franchisees to become more productive. In this context, we study linkages between a franchisee's centrality in franchisee relationships and various individual performance outcomes, using comprehensive data from franchisees in 3 different chains in the largest European franchise market, France. We find that conditional on the specific governance structure of each chain, the results document a strong impact of centrality in advice networks on franchisee performance. Accordingly, we offer theoretical contributions concerning knowledge‐sharing processes in franchise chains, and managerial implications as regards more effective cooperation management in practice, from the perspective of both a franchisee and a franchisor.     

Psychological contracts and reciprocity: a study in a Finnish context

Existing research has demonstrated how the norm of reciprocity operates as a general principle in exchange relationships. However, limited explicit theoretical and empirical attention has been paid to its role in the functioning of the psychological contract. Using a sample of Finnish public sector employees, this study investigated the impact of perceived employer fulfilment of psychological contract on employee perceptions of the form of reciprocity underlying the exchange relationship. The potential mediating role of the reciprocity perceptions between perceived contract fulfilment and its outcomes (affective commitment, continuance commitment and intention to leave) was also examined. The results show that perceived employer fulfilment is positively associated with employee perceptions of the generalized form of reciprocity, and negatively with perceptions of the balanced form of reciprocity. Further, perceptions of generalized reciprocity were found to mediate the relationship between perceived contract fulfilment and affective commitment and intentions to leave the organization. Results and implications are discussed.     

How Do Social Networks Influence the Employment Prospects of People with Disabilities?

We explore the role of social networks used by people with disabilities for finding employment. In addition, we outline obstacles to network building for those with a disability. We contend that this group is often constrained and they underutilize their networks during job searches. Both factors are likely to result in negative employment outcomes and contribute to the employment gap between those with and without a disability. We outline how key network characteristics such as homophily, tie strength, and centrality influence job search outcomes for those with a disability differently than for those without a disability. Furthermore, we propose that although individuals with disabilities develop and rely upon networks that are comprised of close bonds with similar individuals that are either unemployed or underemployed in lower status positions, optimal networks for employment purposes should consist of diverse acquaintances that occupy central positions and higher status jobs within organizations. Finally, we outline propositions to guide future research on this neglected topic and also suggest practical implications.     

Complexity, Identity and the Value of Knowledge-intensive Exchanges

ABSTRACT Researchers studying the structural embeddedness of firms in networks have focused on its effects on economic behaviour, strategic action and competitive behaviour, but network embeddedness as a source of firm value per se has been largely overlooked. I argue that neglecting the network context in which firms are embedded leads to an incomplete understanding of the value of the firm. I seek to understand how a focal firm's structural embeddedness network characteristics function as mechanisms that elucidate the value of its knowledge‐intensive exchanges. This paper presents a framework that identifies two processes of knowing exchange value, namely knowing through a learning bandwagon and knowing through a fad bandwagon. I argue that knowing value as a learning bandwagon is enabled by the normative and cognitive proximity of exchange partners, and that this is facilitated by the embeddedness of the focal firm in dense network structures. Knowing value as a fad bandwagon is based on a positional construction of the focal firm's status, which is determined by the centrality of the focal firm's network partners in their corresponding networks. This is a ranking system based on positional network data, whose efficacy stems from the inability of firms to manipulate their network positions.     

企业间知识转移的影响因素和作用结果

采用元分析技术,对中国企业间知识转移的影响因素和作用结果的研究进展进行了系统、定量的阶段性总结,并与西方背景下的研究结论进行跨文化比较。研究发现,企业规模、知识吸收能力、网络密度、网络中心性、信任水平、关系强度共享愿景和价值观与企业间知识转移之间显著正相关,知识模糊性和文化距离与企业间知识转移之间存在显著负相关,企业间知识转移与企业创新能力和绩效水平之间显著正相关。在中西方背景下,知识模糊性、企业规模、信任水平、关系强度、文化距离、创新能力和绩效水平与企业间知识转移之间的关系强度存在较大差异,而吸收能力、网络密度、网络中心性、共享愿景和价值观与企业间知识转移之间的关系强度差异不大。     

Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?

There is scarce empirical evidence on the impact of inter-organizational collaboration across research institutes, industries or/and universities on the scientific performance of research institutes. This paper fills this gap by examining how the research institutes’ bilateral/trilateral collaborations with industries or/and universities influence their research outputs from a network perspective. We construct a unique dataset based on the Chinese Academy of Sciences’ inter-organizational research collaboration networks with industries or/and universities, which enables us to build three homogeneous, heterogeneous and hybrid inter-organizational research networks as our multi-scenario sample. Our study confirms that the scientific performance of research institutes is significantly affected by their network positions in the research collaboration networks with industries or/and universities. Specifically, in the homogeneous “University-Research Institute” (UR) collaboration network, the degree centrality and the structural holes of the research institutes affect their scientific performance respectively in an inverted U-shaped manner and a positive linear one. By contrast, in both the heterogeneous “Industry-Research Institute” (IR) and the hybrid “Industry-University-Research Institute” (IUR) collaboration networks, the degree centrality and the structural holes of research institutes affect their scientific performance respectively in a positive linear manner and an inverted U-shaped one. Our findings indicate that the impact pattern of the network positions of innovative organizations on their performance likely varies with the network structure and composition in different inter-organizational contexts.     

The Contingent Effects of Social Network Sparseness and Centrality on Managerial Innovativeness

Prior research has highlighted that network sparseness and network centrality enhance innovativeness through access to information and influence, respectively. We advance this perspective by exploring the extent to which individual actions are needed to mobilize information and influence accessed through social networks, and whether such information and influence would mutually reinforce to enhance managerial innovativeness. Our findings found partial support for the idea that actions are needed to actualize potential resources embedded in social networks, as centrally positioned managers enjoy higher innovativeness when they engage in ambassador activities. We also found that advice network sparseness and advice network centrality had independent, not interactive relationships with managerial innovativeness, suggesting that they offer distinct routes to achieving managerial innovativeness. Overall, our research clarifies the relationships of two important social network attributes on managerial innovativeness, and also sheds new light on how managerial action matters in realizing social network advantages for innovative ends.     

Passion Isn't Always a Good Thing: Examining Entrepreneurs' Network Centrality and Financial Performance with a Dualistic Model of Passion

We propose a conceptual model that links entrepreneurs' passion, network centrality, and financial performance, and test this model with small business managers in formal business networking groups. Drawing on the dualistic model of passion, we explore the relationships that harmonious and obsessive passion have with financial performance, mediated by network centrality. Results indicate that harmoniously passionate entrepreneurs had higher out‐degree centrality in their networking group (i.e., they were more inclined to seek out members to discuss work issues), which increased the income they received from peer referrals and, ultimately, business income. Obsessively passionate entrepreneurs had lower in‐degree centrality (i.e., they were less likely to be approached by peers), and in turn received less income from referrals and less business income. These findings highlight that entrepreneurial passion does not always result in positive financial outcomes – the type of passion makes a difference. Implications for research and practice are discussed.     

Cross-shareholding network and corporate bond financing cost in China

This study examines the effect of cross-shareholding network centrality on the cost of corporate bond financing. Based on a sample of Chinese A-share listed firms that issued general corporate bonds from 2007 to 2018, we adopt a social network analysis method and use three indicators (Degree, Betweenness, and Eigenvector) and the principal factor (Composite) extracted from them to measure the firms’ centrality in the cross-shareholding network. We find that bondholders’ demand lowers bond yield spreads for firms with higher cross-shareholding network centrality. In further analyses, we explore the impact mechanisms using mediator models and find that such centrality promotes resource accessing, information disclosure, and corporate governance, thus decreasing corporate bond financing cost. In addition, we incorporate the moderate effect of geographical location and find that the relationship between cross-shareholding network centrality and corporate bond financing cost is more significant in firms located in remote places.     

STRATEGIC NETWORKS AMONG SMALL FIRMS: IMPLICATIONS FOR STRATEGY RESEARCH METHODOLOGY*

This paper deals with the choice of methodological approach within strategic network research. Network-oriented research approaches indicate a broader set of organizational and environmental variables. the issue of trust in network relations implicates contextual aspects such as the socio-cultural foundation of people's interaction. the striving toward more complex, multi-level models of strategy is seen to put a heavy burden on the development of adequate strategy research methods. the paper reports and interprets experience from a case study of inter-organizational exchange governance in small firms. the discussion suggests a need for more in-depth knowledge of cultural contexts, and of socio-economic relations of actors within strategic networks. the paper recommends a search for new methodological inputs from other academic disciplines more experienced with human interaction research. In particular, methodological tools found within the field of social anthropology are recommended.     

Public Management and Policy Networks

In this article we address the elaboration of the central concepts of a theory of networks and of network management. We suggest that the network approach builds on several theoretical traditions. After this we clarify the theoretical concepts and axioms of the policy network approach and argue that this framework has important explanatory power both on the level of strategic interaction processes as well as on the level of institutional relations. We argue that government's special resources and its unique legitimacy as representative of the common Interest make it the outstanding candidate for fulfilling the role of network manager, a role which means arranging and facilitating interaction processes within networks In such a way that problems of under or non representation are properly addressed and interests are articulated and dealt with in an open, transparent and balanced manner.     

The influence of supply network structure on firm innovation

In this study, we examine the structural characteristics of supply networks and investigate the relationship between a firm's supply network accessibility and interconnectedness and its innovation output. We also examine potential moderating effects of absorptive capacity and supply network partner innovativeness on innovation output. We hypothesize that firms will experience greater innovation output from (1) higher levels of supply network accessibility and supply network interconnectedness, (2) the interaction between the levels of these two structural characteristics, (3) the moderating role of absorptive capacity on supply network accessibility and the moderating role of supply network partner innovativeness on supply network interconnectedness. Supply network partner relationships are drawn in the context of the electronics industry using data from multiple sources. We use social network analysis to create measures for each supply network structural characteristic. Using regression techniques to test the relationship between these structural characteristics and firm innovation for a sample of 390 firms, our findings suggest that supply network accessibility has a significant association with a firm's innovation output. The results also indicate that interconnected supply networks strengthen the association between supply network accessibility and innovation output. Moreover, the influence of the two structural characteristics on innovation output can be enhanced by a firm's absorptive capacity and level of supply network partner innovativeness. By addressing the need for deeper structural analysis, this study contributes to supply chain research by accounting for the embedded nature of ties in supply networks, and showing how these structural characteristics influence the knowledge and information flows residing within a firm's supply network.     

董事网络、公司中心度与投资效率

本文使用2000—2013年沪深A股的董事会数据,借鉴社会网络研究方法,构建上市公司的董事网络,探索公司的董事网络与投资效率的关系。研究发现,公司在董事网络中的中心度越高,投资效率越高。结合地区市场化进一步分析发现,市场化程度低的地区,连锁董事网络对投资效率的促进作用越显著。同时,两者的相关关系主要体现在国有企业中,在非国有企业中不显著。本文的研究不仅丰富连锁董事的研究,并且验证了在市场的正式制度不够完善的情况下,公司的社会网络是一种重要的资源配置方式。     

Collaborative diversity in a nanotechnology innovation system: Evidence from the EU Framework Programme

Collaborative diversity is, arguably, an intrinsic characteristic of research networks built on the emergence of general-purpose technologies such as nanotechnology. European research policy, epitomised in Framework Programmes, creates arrangements that institutionalise the development of internationally and institutionally diverse research networks. Motivated by concerns that a high degree of collaborative diversity may create managerial challenges for network members in sharing knowledge across national and institutional borders, we study the configurations of collaborative research networks and consider their international and institutional diversity. We also explore the influence of European policy mechanisms on the international and institutional diversity of collaborative research networks. We conclude that nanotechnology research networks are indeed characterised by a significant degree of collaborative diversity, which in turn exposes a need for participating members to develop strategic capabilities to manage research within diverse networks.     

Research on e-commerce transaction networks using multi-agent modelling and open application programming interface

We provide a formal definition of an e-commerce transaction network. Agent-based modelling is used to simulate e-commerce transaction networks. For real-world analysis, we studied the open application programming interfaces (APIs) from eBay and Taobao e-commerce websites and captured real transaction data. Pajek is used to visualise the agent relationships in the transaction network. We derived one-mode networks from the transaction network and analysed them using degree and betweenness centrality. Integrating multi-agent modelling, open APIs and social network analysis, we propose a new way to study large-scale e-commerce systems.     

Comparative evaluation of community-aware centrality measures

Influential nodes play a critical role in boosting or curbing spreading phenomena in complex networks. Numerous centrality measures have been proposed for identifying and ranking the nodes according to their importance. Classical centrality measures rely on various local or global properties of the nodes. They do not take into account the network community structure. Recently, a growing number of researches have shifted to community-aware centrality measures. Indeed, it is a ubiquitous feature in a vast majority of real-world networks. In the literature, the focus is on designing community-aware centrality measures. However, up to now, there is no systematic evaluation of their effectiveness. This study fills this gap. It allows answering which community-aware centrality measure should be used in practical situations. We investigate seven influential community-aware centrality measures in an epidemic spreading process scenario using the Susceptible–Infected–Recovered model on a set of fifteen real-world networks. Results show that generally, the correlation between community-aware centrality measures is low. Furthermore, in a multiple-spreader problem, when resources are available, targeting distant hubs using Modularity Vitality is more effective. However, with limited resources, diffusion expands better through bridges, especially in networks with a medium or strong community structure.