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When Two Is Better Than One – Product Recommendation with Dual Information Processing Strategies

  • Wee-Kek Tan
  • Chuan-Hoo Tan
  • Hock-Hai Teo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8527)

Abstract

Extant literature on product recommendation decision aids mainly focus on the use of individual aids in isolation. However, consumers typically shop using a two-step decision making process that necessitates the provision of both detailed attributes information and overall utility value of an item. Drawing on the information processing strategy switching paradigm as the theoretical lens, this paper posits that consumers who are provided with an attribute(alternative)-based screening aid in conjunction with an alternative(attribute)-based explanation-supported evaluation aid would expend less decision effort. That is, one aid should provide either attribute-based or alternative-based information while the other aid should provide a different type of information. In this manner, consumers benefit from both types of information and enjoy a more efficient decision process.

Keywords

Product recommendation online decision aid information processing strategy decision effort 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Wee-Kek Tan
    • 1
  • Chuan-Hoo Tan
    • 2
  • Hock-Hai Teo
    • 1
  1. 1.Dept. of Information SystemsNational University of SingaporeSingaporeSingapore
  2. 2.Dept. of Information SystemsCity University of Hong KongKowloon TongHong Kong

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