Risks of e-commerce Recommender Systems: A Scoping Review

Authors

  • Eranjana Kathriarachchi Massey University
  • Shafiq Alam Massey University, New Zealand
  • Kasuni Weerasinghe AUT Business School Auckland University of Technology, Auckland, New Zealand
  • David Pauleen National Chung Cheng University Chia-Yi, Taiwan, Republic of China

DOI:

https://doi.org/10.3127/ajis.v28.4869

Keywords:

Risk-generating events, e-commerce, Recommender Systems, Scoping Review

Abstract

While recommender systems (RS) used in e-commerce have improved significantly providing customers with a personalised shopping experience, scholars have constantly raised concerns over the risks associated with e-commerce RS. However, a lack of methodological synthesis of risk-generating events associated with e-commerce recommender systems has curtailed systematic investigation of the risks of e-commerce RS. This paper presents a scoping review aimed at addressing this gap by synthesising different risk-generating events involved with the use of e-commerce RS as reported in the literature that could affect the welfare of customers who use those systems. Accordingly, peer-reviewed research studies published from 2003-2023 were extracted from the SCOPUS database and EBSCOhost platform for review. Sixty-two publications with evidence on risk-generating events of e-commerce RS were considered for the review. Twenty risk-generating events were identified through the review. These events were mapped with the corresponding risks based on existing frameworks on risks of e-commerce. We were able to identify several risk-generating events that had not previously been considered in conceptualising the risks of e-commerce RS. Further, we identified the plurality of the outcomes of risk-generating events which could provide guidance for the evaluation of e-commerce recommender systems from a multistakeholder perspective.

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Published

2024-11-22

How to Cite

Kathriarachchi, E., Alam, S. ., Weerasinghe, K., & Pauleen, D. (2024). Risks of e-commerce Recommender Systems: A Scoping Review. Australasian Journal of Information Systems, 28. https://doi.org/10.3127/ajis.v28.4869

Issue

Vol. 28 (2024)

Section

Research Articles

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Copyright (c) 2024 Eranjana Kathriarachchi, Shafiq Alam, Kasuni Weerasinghe, David Pauleen

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