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

• 成果类型: Article; Early Access
• 署名作者: Zou, Haiyun (Melody); Fang, Yulin; Sun, Heshan; Lim, Kai H.
• 署名单位: University of Warwick; University of Hong Kong; University of Oklahoma System; University of Oklahoma - Norman; Hong Kong Polytechnic University
• 刊物名称: INFORMATION SYSTEMS RESEARCH
• ISSN/ISSBN: 1047-7047; 1526-5536
• DOI: 10.1287/isre.2021.0620
• 发表日期: 2026-03-16
• 关键词: technology extra-role behavior; psychological ownership of IT service; user-artifact interaction; human-algorithm interaction; access-based consumption; PERSONALIZATION; mixed methods; multimethod; open source software; elaboration likelihood model; mixed-methods research; ORGANIZATIONAL CITIZENSHIP; web personalization; EMPIRICAL-EXAMINATION; ONLINE COMMUNITIES; GOOD SOLDIERS; PARTICIPATION; COMMITMENT

摘要

Access-based and algorithm-empowered IT services (e.g., Spotify and 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.