• DocumentCode
    1213395
  • Title

    Web-based surveys for corporate information gathering: a bias-reducing design framework

  • Author

    Burkey, Jake ; Kuechler, Andwilliam L.

  • Author_Institution
    Univ. Center for Economic Dev., Appl. Econ. & Stat., Nevada Univ., Reno, NV, USA
  • Volume
    46
  • Issue
    2
  • fYear
    2003
  • fDate
    6/1/2003 12:00:00 AM
  • Firstpage
    81
  • Lastpage
    93
  • Abstract
    The cost effectiveness of Internet-based communications in the ever more fully networked business environment continues to drive the use of Web surveys for corporate information gathering. However, simply applying traditional survey techniques to the Web can result in significant shortcomings in the data so gathered. Recent research has been directed at these issues, within the context of Web surveys as a general research tool. We discuss the application of that research to the narrower organizational context. This article synthesizes from the literature on Web-based surveying and from the authors´ own experiences. It suggests a design framework for managers and communications professionals interested in increasing the statistical validity of Web surveys deployed in an organizational context. The results of a recent organizational Web survey developed and administered within the framework guidelines support the efficacy of the framework.
  • Keywords
    Internet; business communication; business data processing; marketing data processing; professional communication; Internet; Web-based surveys; bias-reducing design framework; communications professionals; corporate information gathering; cost effectiveness; networked business environment; organizational Web survey; Business communication; Context; Costs; Environmental economics; Guidelines; IP networks; Information systems; Sampling methods; Statistics; Telephony;
  • fLanguage
    English
  • Journal_Title
    Professional Communication, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0361-1434
  • Type

    jour

  • DOI
    10.1109/TPC.2003.813167
  • Filename
    1202366