IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v141y2022icp462-474.html
   My bibliography  Save this article

Appropriate service robots in exchange and communal relationships

Author

Listed:
  • Chang, Woojung
  • Kim, Kyoungmi (Kate)

Abstract

This paper explores which type of service robot (functional vs. social) is evaluated more favorably depending on a firm’s communal or exchange relationship orientation and the underlying processes driving the appropriate match effect between type of service robot and relationship orientation. The results of two scenario-based experiments and one video-based study with respondents who actually experienced service robots reveal that higher customer satisfaction with the service robot emerges when functional (social) service robots are aligned with a firm’s exchange (communal) relationship orientation. Further, the match between social service robot and communal relationship orientation promotes customer satisfaction with the service robot primarily through perceptions of the warmth of the robot. In contrast, higher customer satisfaction with a functional service robot in an exchange relationship orientation results from increased perception of the competence of the robot. This study provides theoretical and practical implications about how to implement service robots in service encounters.

Suggested Citation

  • Chang, Woojung & Kim, Kyoungmi (Kate), 2022. "Appropriate service robots in exchange and communal relationships," Journal of Business Research, Elsevier, vol. 141(C), pages 462-474.
    • Handle: RePEc:eee:jbrese:v:141:y:2022:i:c:p:462-474
    DOI: 10.1016/j.jbusres.2021.11.044
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296321008511
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2021.11.044?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kolbl, Živa & Diamantopoulos, Adamantios & Arslanagic-Kalajdzic, Maja & Zabkar, Vesna, 2020. "Do brand warmth and brand competence add value to consumers? A stereotyping perspective," Journal of Business Research, Elsevier, vol. 118(C), pages 346-362.
    2. Seo Young Kim & Bernd H. Schmitt & Nadia M. Thalmann, 2019. "Eliza in the uncanny valley: anthropomorphizing consumer robots increases their perceived warmth but decreases liking," Marketing Letters, Springer, vol. 30(1), pages 1-12, March.
    3. Hoyer, Wayne D. & Kroschke, Mirja & Schmitt, Bernd & Kraume, Karsten & Shankar, Venkatesh, 2020. "Transforming the Customer Experience Through New Technologies," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 57-71.
    4. Fernandes, Teresa & Oliveira, Elisabete, 2021. "Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption," Journal of Business Research, Elsevier, vol. 122(C), pages 180-191.
    5. Daniel Belanche & Luis V. Casaló & Carlos Flavián & Jeroen Schepers, 2020. "Service robot implementation: a theoretical framework and research agenda," The Service Industries Journal, Taylor & Francis Journals, vol. 40(3-4), pages 203-225, March.
    6. Chung, Minjee & Ko, Eunju & Joung, Heerim & Kim, Sang Jin, 2020. "Chatbot e-service and customer satisfaction regarding luxury brands," Journal of Business Research, Elsevier, vol. 117(C), pages 587-595.
    7. Jung-Hua Chang, 2017. "The role of relationship on time and monetary compensation," The Service Industries Journal, Taylor & Francis Journals, vol. 37(15-16), pages 919-935, December.
    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. Grewal, Dhruv & Kroschke, Mirja & Mende, Martin & Roggeveen, Anne L. & Scott, Maura L., 2020. "Frontline Cyborgs at Your Service: How Human Enhancement Technologies Affect Customer Experiences in Retail, Sales, and Service Settings," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 9-25.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Leah Warfield Smith & Randall Lee Rose & Alex R. Zablah & Heath McCullough & Mohammad “Mike” Saljoughian, 2023. "Examining post-purchase consumer responses to product automation," Journal of the Academy of Marketing Science, Springer, vol. 51(3), pages 530-550, May.
    2. Maggie Wang, Yazhu & Matook, Sabine & Dennis, Alan R., 2024. "Unintended consequences of humanoid service robots: A case study of public service organizations," Journal of Business Research, Elsevier, vol. 174(C).
    3. Lv, Xingyang & Shi, Kewei & He, Yueying & Ji, Yingchao & Lan, Tian, 2024. "My colleague is not “human”: Will working with robots make you act more indifferently?," Journal of Business Research, Elsevier, vol. 176(C).
    4. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris, 2023. "Acceptance of social robot and its challenges: From privacy calculus perspectives," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    5. Kyuhyeon Joo & Heather M. Kim & Jinsoo Hwang, 2023. "A Study on the Experience Economy Examining a Robot Service in the Restaurant Industry Based on Demographic Characteristics," Sustainability, MDPI, vol. 15(14), pages 1-15, July.
    6. Kim, Hyojung & Park, Minjung, 2024. "When digital celebrity talks to you: How human-like virtual influencers satisfy consumer's experience through social presence on social media endorsements," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    7. El-Manstrly, Dahlia & Herhausen, Dennis & Guha, Abhijit & Blut, Markus & Grewal, Dhruv, 2024. "Should online retailers emphasize efficiency or experience? First insights on the evolution and heterogeneity of website attributes," Journal of Retailing, Elsevier, vol. 100(2), pages 274-292.
    8. Na Cai & Shuhong Gao & Jinzhe Yan, 2024. "How the communication style of chatbots influences consumers’ satisfaction, trust, and engagement in the context of service failure," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    9. Pelau Corina & Barbul Maria & Bojescu Irina, 2022. "A conceptual comparative approach on personal AI assistants and external service robots," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 16(1), pages 1466-1474, August.
    10. Chang, Woojung, 2022. "The effectiveness of AI salesperson vs. human salesperson across the buyer-seller relationship stages," Journal of Business Research, Elsevier, vol. 148(C), pages 241-251.
    11. Frank, Darius-Aurel & Otterbring, Tobias, 2023. "Being seen… by human or machine? Acknowledgment effects on customer responses differ between human and robotic service workers," Technological Forecasting and Social Change, Elsevier, vol. 189(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mariani, Marcello M. & Hashemi, Novin & Wirtz, Jochen, 2023. "Artificial intelligence empowered conversational agents: A systematic literature review and research agenda," Journal of Business Research, Elsevier, vol. 161(C).
    2. Mari, Alex & Mandelli, Andreina & Algesheimer, René, 2024. "Empathic voice assistants: Enhancing consumer responses in voice commerce," Journal of Business Research, Elsevier, vol. 175(C).
    3. Francesc Fusté-Forné & Tazim Jamal, 2021. "Co-Creating New Directions for Service Robots in Hospitality and Tourism," Tourism and Hospitality, MDPI, vol. 2(1), pages 1-19, January.
    4. 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.
    5. Pelau Corina & Barbul Maria & Bojescu Irina, 2022. "A conceptual comparative approach on personal AI assistants and external service robots," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 16(1), pages 1466-1474, August.
    6. Nitin Upadhyay & Aakash Kamble, 2024. "Why can’t we help but love mobile banking chatbots? Perspective of stimulus-organism-response," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 855-872, September.
    7. Yoganathan, Vignesh & Osburg, Victoria-Sophie, 2024. "The mind in the machine: Estimating mind perception's effect on user satisfaction with voice-based conversational agents," Journal of Business Research, Elsevier, vol. 175(C).
    8. De Bruyn, Arnaud & Viswanathan, Vijay & Beh, Yean Shan & Brock, Jürgen Kai-Uwe & von Wangenheim, Florian, 2020. "Artificial Intelligence and Marketing: Pitfalls and Opportunities," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 91-105.
    9. Li, Chia-Ying & Zhang, Jin-Ting, 2023. "Chatbots or me? Consumers’ switching between human agents and conversational agents," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    10. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    11. Chen Yang & Jing Hu, 2022. "When do consumers prefer AI-enabled customer service? The interaction effect of brand personality and service provision type on brand attitudes and purchase intentions," Journal of Brand Management, Palgrave Macmillan, vol. 29(2), pages 167-189, March.
    12. Petar Gidaković & Mateja Kos Koklič & Mila Zečević & Vesna Žabkar, 2022. "The influence of brand sustainability on purchase intentions: the mediating role of brand impressions and brand attitudes," Journal of Brand Management, Palgrave Macmillan, vol. 29(6), pages 556-568, November.
    13. Markus Blut & Cheng Wang & Nancy V. Wünderlich & Christian Brock, 2021. "Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 632-658, July.
    14. Liu, Xing (Stella) & Yi, Xiao (Shannon) & Wan, Lisa C., 2022. "Friendly or competent? The effects of perception of robot appearance and service context on usage intention," Annals of Tourism Research, Elsevier, vol. 92(C).
    15. Jeannot, Florence & Dampérat, Maud & Salvador, Marielle & El Euch Maalej, Mariem & Jongmans, Eline, 2022. "Toward a luxury restaurant renewal: Antecedents and consequences of digitalized gastronomy experiences," Journal of Business Research, Elsevier, vol. 146(C), pages 518-539.
    16. Huang, Yu-Shan (Sandy) & Dootson, Paula, 2022. "Chatbots and service failure: When does it lead to customer aggression," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    17. Abhijit Guha & Timna Bressgott & Dhruv Grewal & Dominik Mahr & Martin Wetzels & Elisa Schweiger, 2023. "How artificiality and intelligence affect voice assistant evaluations," Journal of the Academy of Marketing Science, Springer, vol. 51(4), pages 843-866, July.
    18. Jan, Ihsan Ullah & Ji, Seonggoo & Kim, Changju, 2023. "What (de) motivates customers to use AI-powered conversational agents for shopping? The extended behavioral reasoning perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    19. Krafft, Manfred & Sajtos, Laszlo & Haenlein, Michael, 2020. "Challenges and Opportunities for Marketing Scholars in Times of the Fourth Industrial Revolution," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 1-8.
    20. Fernandes, Teresa & Oliveira, Elisabete, 2021. "Understanding consumers’ acceptance of automated technologies in service encounters: Drivers of digital voice assistants adoption," Journal of Business Research, Elsevier, vol. 122(C), pages 180-191.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:141:y:2022:i:c:p:462-474. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.