Social Network Research in Organizational Contexts

Technological diversification has been linked to a wide range of phenomena, including financial performance, innovation, product diversification and inter‐organizational relationships. This is the first systematic review of this literature and provides an overview of its historical development and conceptual foundations. It finds that the role of contingency factors impacting the positive relationship between technological diversification and financial performance needs further exploration. Also, it finds that the research on the links between technological diversification and inter‐organizational relationships requires consolidation. This paper suggests three avenues for further research. First, it sets out an agenda for identifying the antecedents of technological diversification. Second, it identifies contextual factors that could shape the relationship between technological diversification and performance. Third, it argues that technological diversification research must engage with contemporary technological and organizational developments such as digital organizations, open boundaries and networks.

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“…network structures, dyadic relationships) (Borgatti and Foster ; Carpenter et al . ; Moliterno and Mahony ).…”

Section: Discussion and Future Researchmentioning

confidence: 99%

“…individuals, teams, divisions, organizations) and the level of network constructs included in their theoretical models (e.g. network structures, dyadic relationships) (Borgatti and Foster 2003;Carpenter et al 2012;Moliterno and Mahony 2011).…”

Section: Accounting For Contemporary Technological and Organizationalmentioning

confidence: 99%

Technological Diversification: A Systematic Review of Antecedents, Outcomes and Moderating Effects

Ceipek

Hautz

Mayer

et al. 2019

Int J Management Reviews

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“…Actors are defined as a set of discrete, individuals, corporations or other collective social units (Carpenter, Li & Jiang, 2012;Scott, 2012;Wasserman & Faust, 1994). They may be individual or collectivitie, such as informal groups and formal organizations (Berkowitz, 2013;Knoke & Yang, 2008), and are represented by nodes and supported by attribute data regarded as properties, qualities or features of individuals and groups (Scott, 2012).…”

Section: Network Analysismentioning

confidence: 99%

Relational structure in the global automotive industry: groups, networks and fields

Neto

Matui

Cândido

et al. 2016

RBGN

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Purpose -The purpose of this study was to analyze the network structure of automotive companies linked by cross-shareholding, joint ventures, manufacturing contracts and alliances, from 2004 to 2012. The study also explored how the network structure affects the competition in the field.Design/methodology/approach -The sample involved 3695 dyads. Based on this data, it was possible to build and assess networks using Gephi and UCINET software. The study considered network analysis metrics such as centrality, group and network densities temporally. Thus, associated with a contextual and longitudinal analysis, the construction of sociograms allowed visualization of the interactional structure and the automakers' position in the field.Findings -Results showed that the internationalization and growth of automakers and suppliers are made possible through these relationships among companies (cross-shareholding, joint ventures, manufacturing contracts and alliances). Connections may generate greater power, access to resources and market opportunities. It also enhanced the elaboration of inferences about how these resources influence the competition in the field.Originality/value -The increasing importance of this relational resource shapes the industry competitive structure, which is composed of cooperative and competitive relationships found in meso-level orders.

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“…This train of thought essentially feeds back to the initial basic question -what are the nodes and edges in our network and are they commensurable? -and is associated with the boundary specification problem in network research (Carpenter et al 2012;Laumann et al 1989). …”

Section: Problems With Units Of Analysismentioning

confidence: 99%

The promise and perils of using big data in the study of corporate networks: problems, diagnostics and fixes

et al. 2017

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Social Network Research in Organizational Contexts

Cited by 196 publications

References 150 publications

Technological Diversification: A Systematic Review of Antecedents, Outcomes and Moderating Effects

Technological Diversification: A Systematic Review of Antecedents, Outcomes and Moderating Effects

Relational structure in the global automotive industry: groups, networks and fields

The promise and perils of using big data in the study of corporate networks: problems, diagnostics and fixes

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