Contribute to MY IT Service: Encouraging Technology Extra-Role Behaviors in User-Artifact Interactions from a Psychological Ownership Perspective

  • Haiyun (Melody) Zou
  • , Y. Fang
  • , Heshan Sun
  • , Kai H Lim

Research output: Contribution to journalArticlepeer-review

Abstract

Access-based and algorithm-empowered IT services (e.g., Spotify, Duolingo) have become ubiquitous, introducing a new form of user-artifact (U-A) interactions that extend beyond traditional user-user (U-U) interactions. However, the on-demand nature of these services, which fosters low perceptions of ownership, makes it challenging to retain users and encourage their voluntary contributions. Drawing on the literature on psychological ownership and extra-role behavior, this study sheds light on how the technology could be designed such that users are more likely to use the technology and to perform technology extra-role behaviors (TERBs) in U-A interactions, by examining psychological ownership of IT service (POITS) as the underlying mechanism. Employing mixed methods, this study further unveils the mechanisms of how users form such a psychological bonding with an avatarless algorithm in the human-algorithm interactions by co-constructing an extended self, advising on algorithm appreciation and AI adoption.
Original languageEnglish
JournalInformation Systems Research
Publication statusAccepted/In press - 21 Dec 2025

Funding

This project received funding support from the Warwick Business School Primary Data Collection Fund and National Natural Science Foundation of China (72571232, 72371023).

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • technology extra-role behavior
  • psychological ownership of IT service
  • user-artifact interaction
  • human-algorithm interaction
  • access-based consumption
  • personalization
  • mixed methods
  • multimethod

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