Principal-Agency Relations in Organizational Networks
Emina Katica and
Semra Boga
Additional contact information
Emina Katica: Hogeschool-Universiteit van Brussel (HUB), Brussels, Belgium
Semra Boga: Istanbul University, Istanbul, Turkey
International Journal of Strategic Decision Sciences (IJSDS), 2016, vol. 7, issue 4, 35-50
Abstract:
The authors introduce the application of agency theory within organizational networks in order to offer some new insights for organizational and economic sciences. Previous research has neglected the presence of agency problem in these relatively new structures in favor of examining the nature of principal-agent relationship from behavioral and economic side. They emphasize the constraints such relationship can cause in networks and offer adequate propositions to solve it, referring to present solutions in agency theory. A set of new implications was derived from the theory as well as from case study about impact of agency problem on different network types. Case study method was chosen due to the lack of secondary data on this subject. A network was chosen and studied through interviews, observation, and field reports. This paper achieves originality with the fact that such a study of the two theories hasn't still been made. Therefore, the added value of this paper is in the common application of the two theories within a single case, and in the implications retrieved from it.
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/IJSDS.2016100103 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:igg:jsds00:v:7:y:2016:i:4:p:35-50
Access Statistics for this article
International Journal of Strategic Decision Sciences (IJSDS) is currently edited by Saeed Tabar
More articles in International Journal of Strategic Decision Sciences (IJSDS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().