• DocumentCode
    265482
  • Title

    Elimination by Aspects in Electronic Commerce -- Evidence from Online Marketplace and Implications for Empirical Model Specification

  • Author

    Wang, Michael ; Bin Gu ; Qiang Ye

  • Author_Institution
    Harbin Inst. of Technol., Harbin, China
  • fYear
    2014
  • fDate
    6-9 Jan. 2014
  • Firstpage
    4142
  • Lastpage
    4147
  • Abstract
    Consumers often use heuristics in making online purchase decisions. The use of heuristics could have significant implications on empirical model specifications for ecommerce research. In this study, we consider the effect of decision heuristics in the context of the relationship between seller reputation and product sales in a large scale online marketplace. Our analysis suggests that the data are consistent with consumers´ use of Elimination By Aspects (EBA), one of the most well-known heuristics in their purchase decisions. We propose a parsimonious non-linear regression model to account for this heuristic behavior.
  • Keywords
    electronic commerce; regression analysis; EBA; ecommerce research; electronic commerce; elimination by aspects; empirical model specification; large scale online marketplace; online purchase decisions; parsimonious nonlinear regression model; product sales; purchase decisions; seller reputation; Aggregates; Consumer electronics; Data models; Electronic commerce; Equations; Internet; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Sciences (HICSS), 2014 47th Hawaii International Conference on
  • Conference_Location
    Waikoloa, HI
  • Type

    conf

  • DOI
    10.1109/HICSS.2014.511
  • Filename
    6759113