Journal of Scientific Papers

ECONOMICS & SOCIOLOGY


© CSR, 2008-2019
ISSN 2071-789X

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  • General Founder and Publisher:

     
    Centre of Sociological Research

     

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    Széchenyi István University, (Hungary)

    Mykolas Romeris University (Lithuania)

    Alexander Dubcek University of Trencín (Slovak Republic)


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

Vol. 10, No 3, 2017

 

Anna Ujwary-Gil,

 

Wyższa Szkoła Biznesu – National Louis Univeristy, 

Nowy Sącz, Poland,

E-mail: ujwary@wsb-nlu.edu.pl

 

INTRA-ORGANIZATIONAL TWO-MODE NETWORKS ANALYSIS OF A PUBLIC ORGANIZATION

 

 

 

 

 

 

 

Abstract. The article focuses on the analysis of intra-organizational 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.

 

Received: December, 2016

1st Revision: April, 2017

Accepted: May, 2017

 

DOI: 10.14254/2071- 789X.2017/10-3/14

JEL Classification: D85, L21, L86

Keywords: intra-organizational networks, two-mode networks, public organization, actor-network theory, actor, knowledge, resources, tasks.