• DocumentCode
    3155451
  • Title

    Interlocking Directorates and Profitability: A Social Network Analysis of Fortune 500 Companies

  • Author

    Chua, Alton Y. K. ; Balkunje, R.S.

  • Author_Institution
    Wee Kim Wee Sch. of Commun. & Inf., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2012
  • fDate
    26-29 Aug. 2012
  • Firstpage
    1105
  • Lastpage
    1110
  • Abstract
    Given the conflicting results from past research, this paper uses social network analysis (SNA) to empirically determine the relationship between interlocking directorates and corporate profitability. Specifically, it seeks to address two research questions: (1) what relationship exists between the number of director interlocks and companies´ profitability? (2) what relationship exists between power within the network of interlocking directorates and companies´ profitability? The dataset was drawn from 2010 Fortune 500 companies. Regression models were developed to address the two research questions. To mitigate the effects of confounding factors, three control variables, namely, size, age and sector of the companies were used. Results suggest that both interlocks and power asserted a positive linear relationship with companies´ profitability. However, the control variables did not seem to influence these relationships. Moreover, prediction of companies´ profitability was found to be a complex undertaking. In conclusion, this paper acknowledges a few limitations and offers suggestions for future research.
  • Keywords
    profitability; regression analysis; social networking (online); Fortune 500 companies; SNA; age; corporate profitability; directorate interlocking; regression models; sector; size; social network analysis; Biological system modeling; Companies; Computational modeling; Educational institutions; Information science; Profitability; Social network services; director interlocks; fortune 500 companies; power; profitability; social network analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Social Networks Analysis and Mining (ASONAM), 2012 IEEE/ACM International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-2497-7
  • Type

    conf

  • DOI
    10.1109/ASONAM.2012.190
  • Filename
    6425610