DocumentCode
2380798
Title
Stability robustness conditions for market power analysis in industrial organization networks
Author
Tran, Nghia ; Warnick, Sean
Author_Institution
Dept. of Comput. Sci., Brigham Young Univ., Provo, UT
fYear
2008
fDate
11-13 June 2008
Firstpage
342
Lastpage
349
Abstract
Business networks provide one of the most compelling environments to study the conflicting effects of competition and cooperation on multi-agent dynamical systems. While firms engage various merger and divestiture strategies to create the desired cooperative environment that enhances their market power, governmental regulatory agencies enforce antitrust measures that protect competition as a means to limit the market power of these organizations. Merger simulation has subsequently evolved in recent years as a mechanism to study the impact of different organizational structures on the market. Nevertheless, typical economic models can often lead to competition dynamics that arbitrarily lose stability when considering different organizational structures. This work provides stability robustness conditions with respect to coalition structure for profit-maximizing dynamical systems with network demand, and partially convex utility. In particular, we show that stability of the coalition of all agents is sufficient to guarantee stability of all other coalition structures. These conditions are then leveraged to provide a systematic methodology for estimating a rich variety of demand systems that guarantee sensible stability results regardless of the structure of cooperation in the marketplace.
Keywords
corporate acquisitions; organisational aspects; stability; antitrust measures; business networks; coalition structure; cooperative environment; divestiture strategies; governmental regulatory agencies; industrial organization networks; market power analysis; merger strategies; multiagent dynamical systems; organizational structures; partially convex utility; profit-maximizing dynamical systems; stability robustness conditions; Control systems; Corporate acquisitions; Government; Information analysis; Power measurement; Predictive models; Robust control; Robust stability; Stability analysis; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 2008
Conference_Location
Seattle, WA
ISSN
0743-1619
Print_ISBN
978-1-4244-2078-0
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2008.4586514
Filename
4586514
Link To Document