• DocumentCode
    925065
  • Title

    Antecedents and Consequences of Information Systems Planning Integration

  • Author

    Kearns, Grover S. ; Sabherwal, Rajiv

  • Author_Institution
    South Florida Univ., St. Petersburg
  • Volume
    54
  • Issue
    4
  • fYear
    2007
  • Firstpage
    628
  • Lastpage
    643
  • Abstract
    Successful utilization of the firm´s information technology (IT) investments continues to be a difficult but important task for senior business and information systems managers. This paper focuses on one potentially important determinant of IT investment outcomes-integration of business and IT planning. Integration is examined using three kinds of participation: business managers´ participation in IT planning, IT managers´ participation in business planning, and top managers´ participation in IT resource allocation. Based on considerations of knowledge sharing and commitment, a theoretical model linking these three aspects to three potential consequences-quality of IT plans, IT project problems, and IT-based organization performance-and two antecedents-top managers´ perception of IT importance and environmental heterogeneity-is developed. The model is tested using data collected through a survey of 274 chief information officer (CIO) respondents. Results of structural equation modeling analysis support 12 of the 15 hypotheses. Surprisingly, top managers´ participation in resource allocation had a stronger association with IT-based organizational performance than either quality of IT plans or the absence of IT project problems. This implies that the role of IT planning and alignment might be weakened when investments reflect top managements´ selection. Implications of the study for practice and future research are examined.
  • Keywords
    commerce; information systems; information technology; IT managers; IT planning; IT-based organization performance; business planning; environmental heterogeneity; information systems planning integration; information technology; structural equation modeling analysis; Environmental management; Information management; Information systems; Information technology; Investments; Joining processes; Management information systems; Project management; Resource management; Technology management; Environmental uncertainty; information systems planning; knowledge integration; project management; structural equation modeling;
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/TEM.2007.906848
  • Filename
    4344959