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Exploring robot service quality priorities for different levels of intimacy with service

Author

Listed:
  • Ai-Hsuan Chiang

    (Ming Chuan University)

  • Szu-Yu Chou

    (Ming Chuan University)

Abstract

The influence of intimacy between humans and service robots on service quality has garnered significant attention. Applying the Mehrabian–Russell environmental psychology model, this study collected 591 valid responses from users of robots with different levels of intimacy and then used the TOPSIS technique to rank the importance of service quality. The results show, first, that high-intimacy service robots have better service quality performance. Second, for both high and low-intimacy service robots, tangibility and responsiveness are the two most important service quality dimensions. Third, the different levels of robot intimacy affect customers’ ranking of the other three service quality dimensions (empathy, reliability, and assurance). This research enables scholars and professionals to comprehend the influence of robot intimacy on robot service quality, thereby facilitating successful robot service implementation.

Suggested Citation

  • Ai-Hsuan Chiang & Szu-Yu Chou, 2023. "Exploring robot service quality priorities for different levels of intimacy with service," Service Business, Springer;Pan-Pacific Business Association, vol. 17(4), pages 913-935, December.
    • Handle: RePEc:spr:svcbiz:v:17:y:2023:i:4:d:10.1007_s11628-023-00545-9
    DOI: 10.1007/s11628-023-00545-9
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    References listed on IDEAS

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    1. Ai-Hsuan Chiang & Silvana Trimi, 2020. "Impacts of service robots on service quality," Service Business, Springer;Pan-Pacific Business Association, vol. 14(3), pages 439-459, September.
    2. Song, Christina Soyoung & Kim, Youn-Kyung, 2022. "The role of the human-robot interaction in consumers’ acceptance of humanoid retail service robots," Journal of Business Research, Elsevier, vol. 146(C), pages 489-503.
    3. Prentice, Catherine & Nguyen, Mai, 2021. "Robotic service quality – Scale development and validation," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    4. Russell Belk, 2021. "Ethical issues in service robotics and artificial intelligence," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 860-876, October.
    5. James A. Mourey & Jenny G. Olson & Carolyn Yoon, 2017. "Products as Pals: Engaging with Anthropomorphic Products Mitigates the Effects of Social Exclusion," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(2), pages 414-431.
    6. 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).
    7. Santiago Forgas-Coll & Ruben Huertas-Garcia & Antonio Andriella & Guillem Alenyà, 2022. "The effects of gender and personality of robot assistants on customers’ acceptance of their service," Service Business, Springer;Pan-Pacific Business Association, vol. 16(2), pages 359-389, June.
    8. Sangeeta Sahney & D.K. Banwet & S. Karunes, 2004. "A SERVQUAL and QFD approach to total quality education," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 53(2), pages 143-166, March.
    9. Bo Huang & Matthew Philp, 2021. "When AI-based services fail: examining the effect of the self-AI connection on willingness to share negative word-of-mouth after service failures," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 877-899, October.
    10. Vanja Vitezić & Marko Perić, 2021. "Artificial intelligence acceptance in services: connecting with Generation Z," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 926-946, October.
    11. Subero-Navarro, à urea & Pelegrín-Borondo, Jorge & Reinares-Lara, Eva & Olarte-Pascual, Cristina, 2022. "Proposal for modeling social robot acceptance by retail customers: CAN model + technophobia," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    12. Daniela Castillo & Ana Isabel Canhoto & Emanuel Said, 2021. "The dark side of AI-powered service interactions: exploring the process of co-destruction from the customer perspective," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 900-925, October.
    13. Sang M. Lee & DonHee Lee, 2020. "“Untact”: a new customer service strategy in the digital age," Service Business, Springer;Pan-Pacific Business Association, vol. 14(1), pages 1-22, March.
    14. Seon Hee Kim & Se Ran Yoo & Hyeon Mo Jeon, 2022. "The role of experiential value, novelty, and satisfaction in robot barista coffee shop in South Korea: COVID-19 crisis and beyond," Service Business, Springer;Pan-Pacific Business Association, vol. 16(3), pages 771-790, September.
    15. Gelbrich, Katja & Hagel, Julia & Orsingher, Chiara, 2021. "Emotional support from a digital assistant in technology-mediated services: Effects on customer satisfaction and behavioral persistence," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 176-193.
    16. Chong, Terrence & Yu, Ting & Keeling, Debbie Isobel & de Ruyter, Ko, 2021. "AI-chatbots on the services frontline addressing the challenges and opportunities of agency," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    17. Chuah, Stephanie Hui-Wen & Yu, Joanne, 2021. "The future of service: The power of emotion in human-robot interaction," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
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