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Exploring the Attractiveness of Service Robots in the Hospitality Industry: Analysis of Online Reviews

Author

Listed:
  • Hyunsun Park

    (Beijing Institute of Technology)

  • Shan Jiang

    (University of Massachusetts Boston)

  • One-Ki Daniel Lee

    (University of Massachusetts Boston)

  • Younghoon Chang

    (Beijing Institute of Technology)

Abstract

As the hospitality industry has begun adopting service robots to replace frontline human services, service robots’ attractiveness becomes a salient factor in their design and implementation. However, it is unclear what consist of service robots’ attractiveness and how they affect customer responses. This study examines the effects of multiple dimensions of service robots’ attractiveness on customers’ emotions using a text mining approach. For the data analysis, we collected 50,629 online reviews on 59 hotels and restaurants using service robots from the largest social commerce platform in China. Using the Linguistic Inquiry and Word Count (LIWC) method, we analyzed 7570 online reviews that are directly related to service robots. With the LIWC outcomes, the relationships between the attractiveness dimensions and customer emotions were investigated. Based on our findings, finally, we provide propositions for understanding the attractiveness of service robots. The theoretical and practical implications of the findings are discussed.

Suggested Citation

  • Hyunsun Park & Shan Jiang & One-Ki Daniel Lee & Younghoon Chang, 2024. "Exploring the Attractiveness of Service Robots in the Hospitality Industry: Analysis of Online Reviews," Information Systems Frontiers, Springer, vol. 26(1), pages 41-61, February.
    • Handle: RePEc:spr:infosf:v:26:y:2024:i:1:d:10.1007_s10796-021-10207-8
    DOI: 10.1007/s10796-021-10207-8
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    References listed on IDEAS

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    1. Jochen Wirtz & Valarie Zeithaml, 2018. "Cost-effective service excellence," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 59-80, January.
    2. Seung-Hun Shin & Sung-Byung Yang & Kichan Nam & Chulmo Koo, 2017. "Conceptual foundations of a landmark personality scale based on a destination personality scale: Text mining of online reviews," Information Systems Frontiers, Springer, vol. 19(4), pages 743-752, August.
    3. Wei-Lun Chang & Yi-Pei Chen, 2019. "Way too sentimental? a credible model for online reviews," Information Systems Frontiers, Springer, vol. 21(2), pages 453-468, April.
    4. Ajaya Kumar Swain & Ray Qing Cao, 2019. "Using sentiment analysis to improve supply chain intelligence," Information Systems Frontiers, Springer, vol. 21(2), pages 469-484, April.
    5. Söderlund, Magnus & Rosengren, Sara, 2010. "The happy versus unhappy service worker in the service encounter:Assessing the impact on customer satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 17(2), pages 161-169.
    6. Xiangbin Yan & Jing Wang & Michael Chau, 2015. "Customer revisit intention to restaurants: Evidence from online reviews," Information Systems Frontiers, Springer, vol. 17(3), pages 645-657, June.
    7. Jaana Porra & Mary Lacity & Michael S. Parks, 2020. "“Can Computer Based Human-Likeness Endanger Humanness?” – A Philosophical and Ethical Perspective on Digital Assistants Expressing Feelings They Can’t Have”," Information Systems Frontiers, Springer, vol. 22(3), pages 533-547, June.
    8. Oliver, Richard L, 1993. "Cognitive, Affective, and Attribute BAses of the Satisfaction Response," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(3), pages 418-430, December.
    9. Kahle, Lynn R & Homer, Pamela M, 1985. "Physical Attractiveness of the Celebrity Endorser: A Social Adaptation Perspective," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 11(4), pages 954-961, March.
    10. Heng-Li Yang & August F. Y. Chao, 2015. "Sentiment analysis for Chinese reviews of movies in multi-genre based on morpheme-based features and collocations," Information Systems Frontiers, Springer, vol. 17(6), pages 1335-1352, December.
    11. Wu, Mao-Ying & Wall, Geoffrey & Pearce, Philip L., 2014. "Shopping experiences: International tourists in Beijing's Silk Market," Tourism Management, Elsevier, vol. 41(C), pages 96-106.
    12. Barbara Carroll & Aaron Ahuvia, 2006. "Some antecedents and outcomes of brand love," Marketing Letters, Springer, vol. 17(2), pages 79-89, April.
    13. 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.
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    2. Lionel P. Robert & Marcelo Fantinato & Sangseok You & Patrick C. K. Hung, 2024. "Social Robotics Business and Computing," Information Systems Frontiers, Springer, vol. 26(1), pages 1-8, February.

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