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Feelings, Functions, Familiarity: A Bibliometric Analysis of Psychological Ownership in Human-AI Interactions

Open Access
|Jul 2025

References

  1. Ahmed, M. S., Giuliani, M., Leonards, U., & Bremner, P. (2024). Customisation’s impact on strengthening affective bonds and decision-making with socially assistive robots. Frontiers in Robotics and AI, 11. https://doi.org/10.3389/frobt.2024.1384610
  2. Aymerich-Franch, L., & Fosch-Villaronga, E. (2020). A Self-Guiding Tool to conduct research with embodiment technologies responsibly. Frontiers in Robotics and AI, 7. https://doi.org/10.3389/frobt.2020.00022
  3. Belanche, D., Casaló, L. V., Flavián, C., & Schepers, J. (2019). Service robot implementation: a theoretical framework and research agenda. Service Industries Journal, 40(3–4), 203–225. https://doi.org/10.1080/02642069.2019.1672666
  4. Cameron, D., De Saille, S., Collins, E. C., Aitken, J. M., Cheung, H., Chua, A., Loh, E. J., & Law, J. (2020). The effect of social-cognitive recovery strategies on likability, capability and trust in social robots. Computers in Human Behavior, 114, 106561. https://doi.org/10.1016/j.chb.2020.106561
  5. Cheng, L. K. (2022). The effects of smartphone assistants’ anthropomorphism on consumers’ psychological ownership and perceived competence of smartphone assistants. Journal of Consumer Behaviour, 21(2), 427-442. https://doi.org/10.1002/cb.2021
  6. Chung, W. Y., Kim, D., & Lee, D. (2024). What factors affect psychological ownership when creating an avatar?: Focusing on customization and the ideal self. Telematics and Informatics, 88, 102098. https://doi.org/10.1016/j.tele.2024.102098
  7. Cui, J., & Zhong, J. (2023). The effect of robot anthropomorphism on revisit intentions after service failure: a moderated serial mediation model. Asia Pacific Journal of Marketing and Logistics, 35(11), 2621–2644. https://doi.org/10.1108/apjml-10-2022-0862
  8. Dang, N. B., & Bertrandias, L. (2023). Social robots as healing aids: How and why powerlessness influences the intention to adopt social robots. Technological Forecasting and Social Change, 196, 122845. https://doi.org/10.1016/j.techfore.2023.122845
  9. Delgosha, M. S., & Hajiheydari, N. (2020). How human users engage with consumer robots? A dual model of psychological ownership and trust to explain post-adoption behaviours. Computers in Human Behavior, 117, 106660. https://doi.org/10.1016/j.chb.2020.106660
  10. El Halabi, M., & Trendel, O. (2024). Just Name it: The Act of Naming Humanoid Service Robots Decreases Perceived Eeriness and Increases Repurchase Intent. Journal of Service Research, https://doi.org/10.1177/10946705241248242
  11. Flavián, C., Belk, R. W., Belanche, D., & Casaló, L. V. (2024). Automated social presence in AI: Avoiding consumer psychological tensions to improve service value. Journal of Business Research, 175, 114545. https://doi.org/10.1016/j.jbusres.2024.114545
  12. Jörling, M., Böhm, R., & Paluch, S. (2019). Service robots: drivers of perceived responsibility for service outcomes. Journal of Service Research, 22(4), 404–420. https://doi.org/10.1177/1094670519842334
  13. Kang, W., Shao, B., & Zhang, Y. (2024). How Does Interactivity Shape Users’ Continuance Intention of Intelligent Voice Assistants? Evidence from SEM and fsQCA. Psychology Research and Behavior Management, Volume 17, 867–889. https://doi.org/10.2147/prbm.s438465
  14. Kim, M., & Kim, J. (2024). Artificial intelligence in voice assistants: User benefits explored. International Journal of Consumer Studies, 48(2). https://doi.org/10.1111/ijcs.13019
  15. Krueger, F., Mitchell, K. C., Deshpande, G., & Katz, J. S. (2021). Human–dog relationships as a working framework for exploring human–robot attachment: a multidisciplinary review. Animal Cognition, 24(2), 371–385. https://doi.org/10.1007/s10071-021-01472-w
  16. Li, C., Fang, Y., & Chiang, Y. (2023). Can AI chatbots help retain customers? An integrative perspective using affordance theory and service-domain logic. Technological Forecasting and Social Change, 197, 122921. https://doi.org/10.1016/j.techfore.2023.122921
  17. Liu, X., & Shi, Z. (2025). Served or exploited: The impact of data capture strategy on users’ intention to use selected AI systems. Journal of Consumer Behaviour. https://doi.org/10.1002/cb.2428
  18. Loureiro, S. M. C., Jiménez‐ Barreto, J., Bilro, R. G., & Romero, J. (2023). Me and my AI: Exploring the effects of consumer self‐ construal and AI‐ based experience on avoiding similarity and willingness to pay. Psychology and Marketing, 41(1), 151–167. https://doi.org/10.1002/mar.21913
  19. Malhotra, G., Jham, V., & Sehgal, N. (2022). Does Psychological Ownership Matter? Investigating Consumer Green Brand Relationships through the Lens of Anthropomorphism. Sustainability, 14(20), 13152. https://doi.org/10.3390/su142013152
  20. Menard, P., & Bott, G. J. (2024). Artificial intelligence misuse and concern for information privacy: New construct validation and future directions. Information Systems Journal. https://doi.org/10.1111/isj.12544
  21. Paul, E.S., Moore, A., McAinsh, P., Symonds, E., McCune, S. & Bradshaw, J.W.S. (2014). Sociality Motivation and Anthropomorphic Thinking about Pets. Anthrozoös, 27(4), 499–512. https://doi.org/10.2752/175303714X14023922798192
  22. Pelau, C., Barbul, M., Bojescu, I., & Niculescu, M. (2025). AI, How Much Shall I Tell You? Exchange and Communal Consumer–AI Relationships and the Willingness to Disclose Personal Information. Behavioral Sciences, 15(3), 386, https://doi.org/10.3390/bs1503038
  23. Pelau, C., Pop, S., & Ciofu, I. (2024). Scenario-Based approach to AI’s agency to perform Human-Specific tasks. Proceedings of the International Conference on Business Excellence, 18(1), 2311–2318. https://doi.org/10.2478/picbe-2024-0195
  24. Pierce, J. L., Kostova, T., & Dirks, K. T. (2001). Toward a theory of psychological ownership in organizations. Academy of Management Review, 26(2), 298–310. https://doi.org/10.5465/amr.2001.4378028
  25. Pop, S., Pelau, C., Ciofu, I., & Kondort, G. (2023). Factors Predicting Consumer-AI Interactions. New Trends in Sustainable Business and Consumption, 592–597. https://doi.org/10.24818/basiq/2023/09/068
  26. Smith, L. W., Rose, R. L., Zablah, A. R., McCullough, H., & Saljoughian, M. (2022). Examining post-purchase consumer responses to product automation. Journal of the Academy of Marketing Science, 51(3), 530–550. https://doi.org/10.1007/s11747-022-00900-8
  27. Van Doorn, J., Mende, M., Noble, S. M., Hulland, J., Ostrom, A. L., Grewal, D., & Petersen, J. A. (2017). Domo Arigato Mr. Roboto: Emergence of Automated Social Presence in Organizational Frontlines and Customers’ Service Experiences. Journal of Service Research, 20(1), 43-58. https://doi.org/10.1177/1094670516679272
  28. You, S., & Robert, L. (2018). Emotional Attachment, Performance, and Viability in Teams Collaborating with Embodied Physical Action (EPA) Robots. Journal of the Association for Information Systems, 19(5), 377–407. https://doi.org/10.17705/1jais.00496
Language: English
Page range: 4913 - 4922
Published on: Jul 24, 2025
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2025 Ioana-Alexandra Ciofu, Corina Pelau, Giulia Kondort, Cristian Caraiani, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.