Regulatory mode and acceptance of online recommendations

Joowon Ban, Hyoje Kim, Ben Sheehan, Guljira Manimont

Research output: Contribution to conferenceProceedingpeer-review

Abstract

In an online shopping environment, marketers often facilitate customers' product purchases by providing product recommendations (e.g., 'recommended,' 'you may also like,' 'staff pick,' 'we recommend') (Zhang et al., 2018). Despite the prevalence of online product recommendations, findings regarding their effectiveness are disputed and at times contradictory. There is a need for additional research to identify when and for whom product recommendations are appropriate. We demonstrate that the effectiveness of product recommendations is critically dependent upon individual differences in regulatory mode orientation (i.e., how individuals approach goal pursuit).
Original languageEnglish
Pages120-122
Number of pages3
Publication statusPublished - 7 Dec 2022
EventANZMAC 2022 - Australia, Perth, Australia
Duration: 5 Dec 20227 Dec 2022

Conference

ConferenceANZMAC 2022
Country/TerritoryAustralia
CityPerth
Period5/12/227/12/22

Keywords

  • online recommendations
  • online shopping
  • product purchases

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