• DocumentCode
    864286
  • Title

    Supply-side hurdles in Internet B2C e-commerce: an empirical investigation

  • Author

    Cheung, Michael Tow ; Liao, Ziqi

  • Author_Institution
    Sch. of Econ. & Finance, Univ. of Hong Kong, China
  • Volume
    50
  • Issue
    4
  • fYear
    2003
  • Firstpage
    458
  • Lastpage
    469
  • Abstract
    Given Hong Kong´s special circumstances of small physical size, advanced infrastructure, and low shopping cost, a survey is designed under which supply-side problems in Internet business-to-consumer (B2C) e-commerce are indirectly revealed by responses on the demand side. Difficulties arising from the reluctance to answer questionnaires on the part of e-firms wary about trade and innovation secrets and their small number at the outset are thereby overcome. Survey data on demand-side obstacle factors in the form of perceived low e-shopping comparability, e-shopping inconvenience, e-transaction insecurity, and poor Internet privacy, together with orientation toward social interaction and low awareness on the part of consumers, translate into information on notionally matching supply-side hurdles. Regression analysis and hypothesis testing indicate statistical significance for the above hurdle factors in terms of impact on individual unwillingness to shop online. These results add to the inductive basis for future research into a general demand-supply theory of Internet B2C e-commerce and offer an empirically-grounded position against which the effects of later supply-side changes can be evaluated. Useful information also follows for engineer-managers seeking to compare marginal improvements in supply-side problems, particularly in the form of estimated substitution ratios.
  • Keywords
    Internet; bibliographies; business communication; consumer behaviour; electronic commerce; electronic trading; regression analysis; statistical testing; supply chain management; virtual enterprises; Internet B2C e-commerce; Internet privacy; business-to-consumer e-commerce; consumer perceptions; demand-side obstacle factors; e-firms; e-shopping inconvenience; e-transaction insecurity; empirical results; hypothesis testing; notionally matching supply-side hurdles; online shopping unwillingness; regression analysis; social interaction; thought-experiment-based survey; Aging; Costs; Data privacy; Finance; Information technology; Internet; Investments; Regression analysis; Technological innovation; Testing;
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/TEM.2003.819649
  • Filename
    1261368