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Consumer privacy concerns, exclusive data access and personalized pricing

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

With the availability of consumer data and advanced data analytics techniques, firms are increasingly implementing personalized pricing, which has raised significant concerns about consumer privacy. In this study, we build an analytical model to investigate the impact of consumer privacy concerns and exclusive data access on firms' personalized pricing and profits, as well as consumer surplus. Intriguingly, our result shows that a high privacy concern may lead to higher consumer surplus as it intensifies the competition between firms. From the firms' information structure perspective, we find that a higher proportion of loyal consumers can be detrimental to firms and makes consumers better off. Moreover, compared with non-personalized pricing, we surprisingly show that personalized pricing can lead to a higher consumer surplus even though consumer privacy concerns are high. We discuss the managerial implications of our findings and provide future research directions.
Original languageEnglish
Title of host publicationICIS 2020 Proceedings
Subtitle of host publicationMaking Digital Inclusive: Blending the Local and the Global
PublisherAssociation for Information Systems
ISBN (Electronic)9781733632553
Publication statusPublished - Dec 2020
Externally publishedYes
Event41st International Conference on Information Systems (ICIS 2020): Making Digital Inclusive: Blending the Local and the Global - Virtual, Hyderabad, India
Duration: 13 Dec 202016 Dec 2020
Conference number: 41
https://archives.aisconferences.org/icis2020/
https://aisel.aisnet.org/icis2020/

Publication series

NameInternational Conference on Information Systems, ICIS

Conference

Conference41st International Conference on Information Systems (ICIS 2020)
PlaceIndia
CityHyderabad
Period13/12/2016/12/20
Internet address

Research Keywords

  • Consumer switch
  • Personalized pricing
  • Privacy

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