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Service staff makes me nervous: Exploring the impact of insecure attachment on AI service preference

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  • Deng, Shichang
  • Zhang, Jingjing
  • Lin, Zhengnan
  • Li, Xiangqian

Abstract

This study examines customer preferences for AI versus human services, influenced by insecure attachment and service context. We conducted three studies with 1039 participants across six service scenarios. Study 1 demonstrated that customers exhibiting traits of insecure attachment, both anxious and avoidant, showed a preference for AI services in high-contact scenario, such as hair restyling. However, this effect was not significant in low-contact scenario, such as simple hair cutting. Study 2 replicated and extended the findings of Study 1 by manipulating customers' states of attachment in both high-contact (developing fitness plans) and low-contact (correcting fitness postures) service scenarios. Study 3 constructed a conditional mediation model and found that social anxiety significantly mediated the relationship between insecure attachments and the preference for AI services in high-contact scenario, such as customizing personal health insurance plans. This was not the case, however, for low-contact service like standard auto insurance purchases. This research adds to the existing literature by highlighting the influence of psychological characteristics on attitudes towards social robots. The findings offer insights for firms planning to implement AI services, suggesting careful design of AI service scripts and nuanced market segmentation.

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  • Deng, Shichang & Zhang, Jingjing & Lin, Zhengnan & Li, Xiangqian, 2024. "Service staff makes me nervous: Exploring the impact of insecure attachment on AI service preference," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    • Handle: RePEc:eee:tefoso:v:198:y:2024:i:c:s0040162523006315
    DOI: 10.1016/j.techfore.2023.122946
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    as
    1. Chiara Longoni & Andrea Bonezzi & Carey K Morewedge, 2019. "Resistance to Medical Artificial Intelligence," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 46(4), pages 629-650.
    2. Zhu, Yimin & Zhang, Jiemin & Wu, Jifei & Liu, Yingyue, 2022. "AI is better when I'm sure: The influence of certainty of needs on consumers' acceptance of AI chatbots," Journal of Business Research, Elsevier, vol. 150(C), pages 642-652.
    3. Jan Jöhnk & Malte Weißert & Katrin Wyrtki, 2021. "Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(1), pages 5-20, February.
    4. Omrani, Nessrine & Rivieccio, Giorgia & Fiore, Ugo & Schiavone, Francesco & Agreda, Sergio Garcia, 2022. "To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    5. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    6. Chiang, Ai-Hsuan & Trimi, Silvana & Lo, Yu-Ju, 2022. "Emotion and service quality of anthropomorphic robots," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    7. Savin, Ivan & Ott, Ingrid & Konop, Chris, 2022. "Tracing the evolution of service robotics: Insights from a topic modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    8. Robinson, Stacey & Orsingher, Chiara & Alkire, Linda & De Keyser, Arne & Giebelhausen, Michael & Papamichail, K. Nadia & Shams, Poja & Temerak, Mohamed Sobhy, 2020. "Frontline encounters of the AI kind: An evolved service encounter framework," Journal of Business Research, Elsevier, vol. 116(C), pages 366-376.
    9. Liu, Yun & Wang, Xingyuan & Wang, Shuyang, 2022. "Research on service robot adoption under different service scenarios," Technology in Society, Elsevier, vol. 68(C).
    10. Borghi, Matteo & Mariani, Marcello M., 2022. "The role of emotions in the consumer meaning-making of interactions with social robots," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    11. Vlačić, Božidar & Corbo, Leonardo & Costa e Silva, Susana & Dabić, Marina, 2021. "The evolving role of artificial intelligence in marketing: A review and research agenda," Journal of Business Research, Elsevier, vol. 128(C), pages 187-203.
    12. Deborah L. Kellogg & Richard B. Chase, 1995. "Constructing an Empirically Derived Measure for Customer Contact," Management Science, INFORMS, vol. 41(11), pages 1734-1749, November.
    13. Wang, Yawei & Kang, Qi & Zhou, Shoujiang & Dong, Yuanyuan & Liu, Junqi, 2022. "The impact of service robots in retail: Exploring the effect of novelty priming on consumer behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    14. Bingcheng Wang & Pei-Luen Patrick Rau & Tianyi Yuan, 2023. "Measuring user competence in using artificial intelligence: validity and reliability of artificial intelligence literacy scale," Behaviour and Information Technology, Taylor & Francis Journals, vol. 42(9), pages 1324-1337, July.
    15. Michael Chattalas & Irawati T. Priyanti & Adi Zakaria Afiff, 2019. "National stereotype effects on high versus low-contact service expectations: branding Indonesia," Place Branding and Public Diplomacy, Palgrave Macmillan, vol. 15(4), pages 238-243, December.
    16. Ho, Manh-Tung & Mantello, Peter & Ghotbi, Nader & Nguyen, Minh-Hoang & Nguyen, Hong-Kong T. & Vuong, Quan-Hoang, 2022. "Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection," Technology in Society, Elsevier, vol. 70(C).
    17. Gursoy, Dogan & Chi, Oscar Hengxuan & Lu, Lu & Nunkoo, Robin, 2019. "Consumers acceptance of artificially intelligent (AI) device use in service delivery," International Journal of Information Management, Elsevier, vol. 49(C), pages 157-169.
    18. Del Vecchio, Pasquale & Secundo, Giustina & Garzoni, Antonello, 2023. "Phygital technologies and environments for breakthrough innovation in customers' and citizens' journey. A critical literature review and future agenda," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    19. Ida Merete Enholm & Emmanouil Papagiannidis & Patrick Mikalef & John Krogstie, 2022. "Artificial Intelligence and Business Value: a Literature Review," Information Systems Frontiers, Springer, vol. 24(5), pages 1709-1734, October.
    20. Hsu, Eric L. & Elliott, Anthony & Ishii, Yukari & Sawai, Atsushi & Katagiri, Masataka, 2020. "The development of aged care robots in Japan as a varied process," Technology in Society, Elsevier, vol. 63(C).
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