Abstract
Purpose- The aim of our study is to reveal the corporate structure of organizations from network perspective. It is targeted to establish decision criteria for the efficiency and priority of actions in line with analysis results.
Methodology- We use the document relationships between the all units of a professional organization with public institution status in 2016. The relations between these units are evaluated by network analysis. Integration, driving, driven and stability indicators are used to describe the dynamic character of the organizational structure.
Findings- According to the analysis results, two organizational units are defined as integrative, two are as driving and three of them as driven. Overall system stability is %56. This means that the system in focus is not under the threat of neither disorganization nor inertia.
Conclusion- With study findings, it is possible to follow the dynamic reflection of any topic on the system and apply the targets of the units in the most appropriate way to the institutional structure.
Keywords
Network analysis corporate structure dynamic structure strategic decision strategic management
References
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Abstract
References
- Borgatti, S.P., Halgin, D.S. (2011). On network theory. Organization Science, p. 1-14. doi: 10.1287/orsc.1110.0641
- Egghea, L. (2009). Mathematical derivation of the impact factor distribution. Journal of Informetrics, vol. 3, p. 290–295.
- Hanneman, R. A., Riddle, M. (2005). Introduction to social network. CA: University of California. http://faculty.ucr.edu/hanneman/nettext
- Haythornthwaite, C. (1996). Social network analysis: an approach and technique for the study of information exchange. Library and Information Science Research, vol.18, no.4, p. 323-342.
- James, L. R., Jones, A. P. (1976). Organizational structure: a review of structural dimensions and their relationships with individual attitudes and behavior. Organizational Behavior and Human Performance, vol. 16, p. 74-113.
- Jo, H., Park, Y., Kim, S. E., Lee, H. (2016). Exploring the intellectual structure of nanoscience and nanotechnology: journal citation network analysis. Journal of Nanoparticle Research, vol.18, p. 167
- Lei, D., Slocum, J. W. (2005). Strategic and organizational requirements for competitive advantage. The Academy of Management Executive, vol. 19, p. 31-45.
- Linss V., Fried A. (2010). The ADVIAN® classification — a new classification approach for the rating of impact factors. Technological Forecasting & Social Change, vol. 77, p. 110–119.
- Maoz, Z. (2011). Network of nations. The evolution, structure, and impact of international network, 1861-2001. USA: Cambridge University Press.
- Marin, A., Wellman, B. (2014). Social network analysis: an introduction. In J. Scott, and P. J. Carrington, The SAGE handbook of social network analysis (pp. 11-25). Great Britain: SAGE.
- Nelson, R. E. (2011). The strenght of strong ties: social networks and intergroup conflict in organizations. In M. Kilduff and A. V. Shipilov, Organizational Network Volume II (pp. 3-26). London: SAGE.
- Pryke, S. (2012). Social network analysis in construction. Chichester: John Wiley and Sons.
- Wasserman, S., Faust, K. (1994). Social network analysis: method and applications. Cambridge: Cambridge University Press.
Details
| Primary Language | Turkish |
|---|---|
| Journal Section | Articles |
| Authors | |
| Publication Date | September 1, 2018 |
| Published in Issue | Year 2018 Volume: 7 Issue: 1 |
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