• 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