JOURNAL ARTICLE

Human Is Gold: Why Premium Customers Hate Chatbots and What to Do About It.

  • Published In: Journal of Interactive Marketing, 2026, v. 61, n. 1. P. 41 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Tatavarthy, Aruna Divya; Martuza, Jareef; Thorbjørnsen, Helge 3 of 3

Abstract

This article investigates how customers’ marketplace status influences their biases against chatbot-delivered customer support services. Through three preregistered experiments involving airline and bank customers, the research finds that high-tier customers (e.g., platinum or gold members) exhibit stronger negative reactions to chatbots compared to basic-tier customers, despite identical service outcomes. This asymmetrical bias is partially explained by high-tier customers’ greater perceptions of uniqueness neglect—the belief that chatbots fail to recognize their individual needs—and entitlement to human service. The studies also demonstrate that framing chatbots as “premium,” “personalized,” or “highly-rated” can significantly reduce this bias among high-tier customers. Additionally, the research shows that earned high-tier status (achieved through effort or payment) intensifies chatbot aversion more than unearned status (e.g., awarded by lottery), suggesting firms should prioritize human service for earned high-tier customers while employing targeted framing strategies to mitigate chatbot bias.

Additional Information

  • Source:Journal of Interactive Marketing. 2026/02, Vol. 61, Issue 1, p41
  • Document Type:Article
  • Subject Area:Computer Science
  • Publication Date:2026
  • ISSN:1094-9968
  • DOI:10.1177/10949968251322513
  • Accession Number:190326230
  • Copyright Statement:Copyright of Journal of Interactive Marketing is the property of American Marketing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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