Multiplexity and strategic alliances: The relational embeddedness of coalitions in social movement organisational fields

Simpson, Cohen R.

doi:10.1016/j.socnet.2015.02.007

Cited by 34 publications

(18 citation statements)

References 111 publications

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“…Bundled social relations are considered strong because they contain multiple types of social relations (Granovetter, 1983) and generate interpersonal interdependence (Lee & Monge, 2011). Thus, social network theory explains how bundles of social relations embed individuals in their social networks (Beckman & Hauschild, 2002;C. R. Simpson, 2015).…”

Section: Multiplexity Overviewmentioning

confidence: 99%

Multidimensionality: A Cross-Disciplinary Review and Integration

Liu

Park

Hymer

et al. 2018

Journal of Management

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Individuals are inherently multidimensional, containing bundles of attributes and social relations. As multidimensionality research has evolved independently and in a disconnected fashion, our knowledge of multidimensionality and its outcomes in organizations is fragmented and rarely integrated. By reviewing relevant articles from the intersectionality, faultlines, and multiplexity literatures, we present a comprehensive overview of each literature, as well as discuss their theoretical foundations, measurement, and current state. Thus, we provide a holistic and synthesized perspective of how multidimensionality is experienced in organizations. We further identify a series of research questions to spur future research on multidimensionality.

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Section: Multiplexity Overviewmentioning

confidence: 99%

Multidimensionality: A Cross-Disciplinary Review and Integration

Liu

Park

Hymer

et al. 2018

Journal of Management

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“…The actors operating in a specific network can be characterized by a variety of relationships, and their behaviour can be driven by endogenous network forces and actor-level attributes. In this study, we use bivariate Exponential Random Graph Models (ERGMs) for investigating network structures, which are probability models for complete networks that allow to estimate the effect of network structures (dyads and triads) and actors' attributes on network formation, when two networks are observed simultaneously (Snijders et al, 2006;Robins et al, 2007;Simpson, 2015). These models make it possible to consider the interdependence of multiplex network structures made by two networks when making inference on how relationships are created.…”

Section: Method: Bivariate Exponential Random Graph Models (Ergms)mentioning

confidence: 99%

Toward the creation of novel food waste management systems: A network approach

Ghinoi

Silvestri

Steiner

2020

Journal of Cleaner Production

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In light of the global significance of food waste, a greater focus on improving food waste management strategies is called for. Implementing such management strategies requires a better understanding of stakeholder relations. This paper analyses the structure of multiplex relations among stakeholders involved in the creation of a novel food waste management system, investigating the drivers of network formation when multiple collaborations are observed between pairs of stakeholders. We apply Social Network Analysis to study food waste reduction strategies in the City of Ferrara (Italy). Our results provide support for the practical relevance of multiple interactions across dyadic relationships in stakeholder networks. They also suggest that 'third parties' are not necessary for an effective networking strategy, and that relationships between stakeholders of similar levels of expertise are not required for establishing multiple relationships, 2 suggesting that functionally diverse coalitions are of greater practical relevance for food waste management strategies.

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“…Furthermore, different types of interaction in the monitoring network are likely to have an effect on each other. The concept of overlapping relations between a set of actors is called multiplexity and is identified as an endogenous process that influences network formation among organisations as well (Simpson 2015). Although it is useful to analyse distinct types of relations separately, they are likely to depend on each other.…”

Section: Data Collection and Methodologymentioning

confidence: 99%

Swift, brokered and broad-based information exchange: how network structure facilitates stakeholders monitoring EU policy implementation

Schrama

2018

J. Pub. Pol.

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Monitoring the implementation process in domestic settings of multi-level policies like the EU gender directives is dependent on interactions among a diverse set of policy stakeholders. However, there is no clear understanding of which factors determine the structure of these monitoring networks and what benefits effective exchange. Drawing on insights from social network theory, literature on information politics in transnational networks and policy network analysis, this study analyses what drives information exchange among actors in the monitoring network of women’s groups in the Netherlands. Using Exponential Random Graph Models, the analysis reveals distinctive structural features facilitating efficient information exchange and significant brokerage in the monitoring network. Moreover, the results demonstrate that interactions that serve the purpose of monitoring EU policy implementation occur among a diverse set of actors in a multi-level structure. These findings indicate that effective monitoring requires resourceful and broad-based information exchange to increase transparency in the implementation process.

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Multiplexity and strategic alliances: The relational embeddedness of coalitions in social movement organisational fields

Cited by 34 publications

References 111 publications

Multidimensionality: A Cross-Disciplinary Review and Integration

Multidimensionality: A Cross-Disciplinary Review and Integration

Toward the creation of novel food waste management systems: A network approach

Swift, brokered and broad-based information exchange: how network structure facilitates stakeholders monitoring EU policy implementation

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