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

• Autorzy: Anna Ujwary-Gil
• Języki publikacji: EN

Abstrakty

EN

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. (original abstract)

Słowa kluczowe

EN

Knowledge sharing; Actor-network theory; Public organisations; Network analysis

PL

Dzielenie się wiedzą; Teoria aktora-sieci; Organizacje publiczne; Analiza sieciowa

• Czasopismo: Economics & Sociology
• Rocznik: 2017
• Tom: 10
• Numer: nr 3
• Strony: 192--205

Twórcy

autor

Anna Ujwary-Gil

• Wyższa Szkoła Biznesu - National Louis Univeristy, Nowy Sącz, Poland

Bibliografia

• Alcadipani, R., & Hassard, J. (2010). Actor-network theory, organizations and critique: Towards a politics of organizing. Organization, 17(4), 419-435.
• Alguliyev, R., Jafarov, J., Mammadov, E., Ismayilova, N. and Mammadova, R. (2015). Extraction of social networks in modern digital library environment. Economics & Sociology, 8(1), 308.
• Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99-120.
• Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique identification. Journal of Mathematical Sociology, 2(1), 113-120.
• Carley, K. M. (2002). Summary of key network measures for characterizing organizational architectures. Computational Analysis of Social and Organizational Systems Working Paper.
• Carley, K. M., & Yuqing, R. (2001). Tradeoffs between performance and adaptability for C3I Architectures. Command and Control Research and Technology Symposium. Annapolis, Maryland.
• Carlsson, S. A. (2003). Knowledge Managing and Knowledge Management Systems in Inter- organizational Networks. Knowledge and Process Management, 10(3), 194-206.
• Czarniawska, B., & Hernes, T. (eds.). (2005). Actor-Network Theory and Organizing (1 edition). Malmö: Copenhagen Business School Press.
• Davis, A., Gardner, B. B., Gardner, M. R. (2009). Deep South: A Social Anthropological Study of Caste and Class. Univ of South Carolina Press, available at: https://www.google.com/books?hl=pl&lr=&id=Q3b9QTOgLFcC&oi=fnd&pg=PR7&d q=Davis+Deep&ots=WqMleJqg59&sig=9DeXDON3Aa3luGlNilVpvqVDjlk (accessed 24 February 2017).
• Doolin, B., & Lowe, A. (2002). To reveal is to critique: Actor-network theory and critical information systems research. Journal of Information Technology, 17(2), 69-78.
• Fang, R., Landis, B., Zhang, Z., Anderson, M. H., Shaw, J. D., Kilduff, M. (2015). Integrating Personality and Social Networks: A Meta-Analysis of Personality, Network Position, and Work Outcomes in Organizations. Organization Science, 26(4), 1243-1260.
• Field, S., Frank, K. A., Schiller, K., Riegle-Crumb, C., Muller, C. (2006). Identifying Positions from Affiliation Networks: Preserving the Duality of People and Events. Social Networks, 28(2), 97-123.
• Freeman, L.C. (1978). Centrality in social networks conceptual clarification. Social Networks, 1(3), 215-239.
• Harima, A. (2014). Network Dynamics of Descending Diaspora Entrepreneurship: Multiple Case Studies with Japanese Entrepreneurs in Emerging Economies. Journal of Entrepreneurship, Management and Innovation, 10(4), 65-92.
• Hirschman, A. O. (1945). National power and the structure of foreign trade. Berkeley and Los Angeles: University of California Press.
• Hydle, K. M., Meland, K. V. (2016). Supplying Spin-Offs: Collaboration Practices in the Perpetuation of an Organization. Journal of Entrepreneurship, Management and Innovation, 12(4), 51-68.
• Jiang, L., Carley, K. M., & Eberlein, A. (2012). Assessing team performance from a socio- technical congruence perspective (pp. 160-169). IEEE.
• Krackhardt, D., Carley, K. M. (1998). PCANS Model of Structure in Organizations, Carnegie Mellon University, Institute for Complex Engineered Systems, available at: http://www.ksg.harvard.edu/netgov/files/complexity/Krackhardt- A%20PCANS%20Model%20of%20Structure%20in%20Organization.pdf (accessed 11 October 2016).
• Law, J. (1992). Notes on the theory of the actor-network: Ordering, strategy, and heterogeneity. Systems Practice, 5(4), 379-393.
• Mentzas, G., Apostolou, D., Kafentzis, K., Georgolios, P. (2006), Inter-organizational Networks for Knowledge Sharing and Trading. Information Technology and Management, 7(4), 259-276.
• Penrose, E. T. (1959). The Theory of the Growth of the Firm. Oxford: Oxford University Press.
• Peppard, J., & Rylander, A. (2001). Using an intellectual capital perspective to design and implement a growth strategy: The case of APiON. European Management Journal, 19(5), 510-525.
• Peteraf, M. A. (1993). The cornerstones of competitive advantage: A resource-based view. Strategic Management Journal, 14(3), 179-191.
• Rawlings, C. M., McFarland, D. A. (2011). Influence Flows in the Academy: Using Affiliation Networks to Assess Peer Effects among Researchers. Social Science Research, 40(3), 1001-1017.
• Rodríguez, D., Sicilia, M. Á., Sánchez-Alonso, S., Lezcano, L., García-Barriocanal, E. (2011). Exploring Affiliation Network Models as a Collaborative Filtering Mechanism in E-Learning. Interactive Learning Environments, 19(4), 317-331.
• Ryan, D., Emond, M., Lamontagne, M.-E. (2014). Social Network Analysis as a Metric for the Development of an Interdisciplinary, Inter-Organizational Research Team. Journal of Interprofessional Care, 28(1), 28-33.
• Tatnall, A. (2005). Actor-network theory in information systems research. In: Encyclopedia of Information Science and Technology, First Edition (pp. 42-46). IGI Global. Retrieved from https://www.igi-global.com/chapter/actor-network-theory-information- systems/14208
• Ujwary-Gil, A. (2017). Audyt zasobów niematerialnych z wykorzystaniem analizy sieci organizacyjnej. Warsaw: Wydawnictwo Naukowe PWN.
• Walsham, G. (1997). Actor-network theory and IS research: Current status and future prospects. In: Information systems and qualitative research (pp. 466-480). Springer. Retrieved from http://link.springer.com/chapter/10.1007/978-0-387-35309-8_23
• Wäsche, H. (2015). Interorganizational Cooperation in Sport Tourism: A Social Network Analysis. Sport Management Review, 18(4), 542-554.
• Wasserman, S., Faust, K. (1994). Social Network Analysis: Methods and Applications. Cambridge University Press.
• Zemaitaitiene, G., Tiskute, A. and Tvaronaviciene, A. (2016). Enterprise Social Networking: Innovation Difficult to Adopt? Economics and Sociology, 9(2), 303.

Identyfikatory

DOI

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