Supplying Spin-Offs: Collaboration Practices in the Perpetuation of an Organizaton

Hydle, Katja Maria; Meland, Kjersti Vikse

doi:10.7341/20161243

Cited by 1 publication

(1 citation statement)

References 43 publications

(49 reference statements)

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“…Most scientists concentrate on inter-organizational relations (e.g., Carlsson, 2003;Harima, 2014;Hydle & Meland, 2016;Mentzas et al, 2006;Ryan et al, 2014;Wäsche, 2015), including one-mode social networks (e.g., Alguliyev et al, 2015;Fang et al, 2015;Hollenbeck & Jamieson, 2015;Zemaitaitiene et al, 2016). Even when the research deals with two-mode networks, where relations are identified within the affiliation network, they still remain social networks (Field et al, 2006;Rawlings & McFarland, 2011;Rodríguez et al, 2011), which determine the ties between actors and a particular organization, location or events (Davis et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

Intra-Organizational Two-Mode Networks Analysis of a Public Organization

Ujwary-Gil

2017

Economics &Amp; Sociology

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ABSTRACT. The article focuses on the analysis of intraorganizational and two-mode networks of knowledge, resources and tasks. Each of these networks consists of a human and non-human actor in the terminology of the actor-network theory (ANT), or of only non-human actors. This type of research is rare in the theory of organization and management, even though the first article on meta-networks dates back to nearly two decades ago (Krackhardt & Carley, 1998). The article analyses the prominences and ties between particular network nodes (actors, knowledge, resources and tasks), assessing their effective use in an organization. The author selected a public organization operating in the university education sector, where saturation with communication, resource and knowledge-sharing are relatively high. The application of the network analysis provides a totally different perspective on an organization, taking into account the inter-relationship, which allows a holistic (complex) outlook on the analyzed object. Especially, as it measures particular nodes as related to one another, not as isolated variables, as in classical research, where observations are independent.JEL Classification: D85, L21, L86

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