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Distinguishing coupon proneness from value consciousness: an acquisitiontransaction utility theory perspective. Murphy, J., Gretzel, U., & Pesonen, J. The effects of consumer perceived value and subjective norm on mobile data service adoption between American and Korean consumers. 1. Dang, J., & Liu, L. (2021). Nisbett, R. E., Peng, K., Choi, I., & Norenzayan, A. Geraci, R. M. (2006). Aggarwal, P., & McGill, A. L. (2007). Qiu, H., Li, M., Shu, B., & Bai, B. in 2021, Consumer Behavior Edition, Fall 2021, October 2021, Tagged: 2021, Consumer Behavior, Fall 2021, Lisa C. Wan, October 2021, Sungwoo Choi. Evaluating service encounters: the effects of physical surroundings and employee responses. According to Mori (1970), as robots appear more humanlike, our sense of their affinity increases. The future of frontline research: invited commentaries. https://doi.org/10.1007/978-3-319-39324-7_32. In this case, both the additional effect (0.301; p<0.01) and the 2 difference (2(1)=49.783; p<0.01) are significant. Consequently: Perceived human-likeness of robots in hospitality services has a positive effect on service enhancement attribution. Antecedents of Trust and Adoption Intention toward Artificially Intelligent Recommendation Systems in Travel Planning: A HeuristicSystematic Model. The uncanny valley. Following previous research analyzing the benefits of service technologies from the customer side (Meuter et al. Emotion and sociable humanoid robots. For instance, many hotels now have robots that can deliver food and amenities to guest rooms. https://doi.org/10.1093/jcr/ucx038. Such different responses from consumers towards humanoid service robots indicate that there are various external factors that shape consumer responses. https://doi.org/10.1509/jmkg.64.3.50.18024. 2019). Guests perceptions of robot concierge and their adoption intentions. Chi, O. H., Gursoy, D., & Chi, C. G. (2020). https://doi.org/10.1177/002224378602300205. International Journal of Research in Marketing, 23(1), 4561. Robotics has been pivotal to the hospitality industry and it will continue to play a critical role in shaping the future. (2020). https://doi.org/10.1177/002224378101800104. 2019). https://doi.org/10.1007/978-3-319-72923-7_24. ), Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality (pp. IEEE. The use of robots is gaining popularity among hotels and other establishments in the hospitality industry. 2019), our study confirmed that customers considering that the firm introduces the innovation to improve the service provision to its customers (e.g. Ryu et al. These motivations have been also found to be the reasons for service robot introduction by firms in the hospitality industry (Qiu et al. Following previous research on customers attributions toward self-service technology introduction (Nijssen et al. inferring the service provider reasons for introducing the innovation) and affecting the customer-provider relationship (Choi and Cai 2016; Nijssen et al. The Value of Service Robots from the Hotel Guests Perspective: A Mixed-Method Approach. Google Scholar. Worldwide Hospitality and Tourism Themes, 10(6), 726-733. In sum, human-likeness leads to a stronger sense of social inclusion and likeability (Mourey et al. This finding suggests that human-likeness should be considered an instrumental variable to increase customers perceptions of affinity (as a kind of familiarity and closer connection) with the service robot. Breazeal, C. (2003). To further ensure convergent validity, it was verified that average variance extracted (AVE) values were greater than 0.5 (see Table 1) and converged on only one construct (Fornell and Larcker 1981). (2018). Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A. Do travelers trust intelligent service robots?. Journal of Consumer Research, 34(4), 468479. Alves, H., Campn-Cerro, A. M., & Hernndez-Mogolln, J. M. (2019). The robots are designed to deliver items to guest rooms, including towels, toiletries, and other amenities. Based on the robotics literature arguing the advantage of anthropomorphism on user involvement (Broadbent, 2017), a stream of hospitality literature demonstrates the positive impacts of human-likeness of service robots on consumer intention to adopt service robots. (2018). Huang, M. H., & Rust, R. T. (2018). Antecedents of customers acceptance of artificially intelligent robotic device use in hospitality services. Opportunities for Improving Consumer Research through Latent Variable Structural Equation Modeling. The proposed hypotheses are tested using structural equation modeling, which basically consists of a set of linear equations that simultaneously test two or more relationships among directly observable and/or unmeasured latent variables (Shook et al. In doing so, this study provides much-needed empirical evidence in this field. Introduction 2. Service robots are becoming more and more popular in the hospitality industry. In turn, customers may consider that such a disruptive innovation is altering the established conditions of the service-provider relationship. In International Conference on Practical Applications of Agents and Multi-Agent Systems (pp. Journal of Service Research, 21(2), 155172. Annals of Tourism Research,81, 102886. However, it is of equal importance to consider the short- and long-term impacts of automation on the employees delivering services and the customers receiving them . 2012). A growing number of firms in hospitality and tourism industries introduce service robots to reduce their operational costs and to provide customers with enhanced services (e.g. Ivanov, S., & Webster, C. (2018). Service robots are becoming more and more popular in the hospitality industry. In sum, the proposed model is summarized in Fig. Administrative Science Quarterly, 36(3), 421458. Kabadayi, S., Ali, F., Choi, H., Joosten, H., & Lu, C. (2019). In addition, customers increased affinity with the service robot also reduces their cost attributions, dissipating negative thoughts of robot introduction as a disinvestment (e.g. Journal of Computer Assisted Learning, 4(1), 3443. Finally, consumers intentions are also related, as intention to use robots in hospitality services positively affects the intention to recommend them (=0.786, p<0.01), supporting H10. Robots are friends as well as foes: Ambivalent attitudes toward mindful and mindless AI robots in the United States and China. Belanche et al. Meuter, M. L., Bitner, M. J., Ostrom, A. L., & Brown, S. W. (2005). Posted 2 years ago https://doi.org/10.1080/15378020.2014.967642. The trust building can also be achieved by its human-like attributes including service robots appearance and emotional displays (Tinwellet al., 2011). (2019). Using virtual communities in tourism research. Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., et al. (2020). MacKenzie, S. (2001). talk to them, use them to take orders). In T. Swartz et al. Moreover, some research shows that human-like appearances of service robots result in feelings of discomfort, thereby making the consumer feel reluctant to interact with the robot (Shin & Jeong, 2020; Yu, 2020). Prentice Hall. For instance, East Asians tend to describe robots as both highly competent and warm, while Westerners tend to describe them as competent but cold (Lee & Sabanovic, 2014). Service robot acceptance can be influenced by the extent to which they can provide enjoyable interactions a feeling of care and friendliness, and personal connection to consumers (i.e., rapport). Bitner, M. J., Ostrom, A. L., & Meuter, M. L. (2002). Journal of Travel Research, 0047287520966395. The results have been impressive. Following Zaichkowsky (1985), the authors also asked a panel of experts about the degree to which they judged that the items were clearly representative of the targeted construct, in order to test for face validity. (2010). Finally, there is the issue of public perception. (2020). In this regard, previous research identified that the levels of robot human-likeness and user-robot affinity play a crucial role for their acceptance among customers of hospitality and tourism services (Murphy et al. Kim, S. S., Kim, J., Badu-Baiden, F., Giroux, M., & Choi, Y. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. https://doi.org/10.1111/j.1468-2958.2007.00295.x. https://doi.org/10.1016/j.ijhm.2019.01.005. How anthropomorphism affects empathy toward robots. https://ifr.org/free-downloads/. https://doi.org/10.2307/1251871. Performance attribution challenges in outsourced service provision in supply chains. Mori, M., MacDorman, K. F., & Kageki, N. (2012). On seeing human: a three-factor theory of anthropomorphism. Culture and systems of thought: holistic versus analytic cognition. Effects of Restaurant Satisfaction and Knowledge Sharing Motivation on eWOM Intentions. This finding also suggest that robot introduction could be particularly suitable in leisure and entertaining business where customers amusement is paramount or in restaurants and hotels linked to such activities. Lee, H. R., & abanovi, S. (2014, March). Provided by the Springer Nature SharedIt content-sharing initiative, Over 10 million scientific documents at your fingertips, Not logged in 2020; Casal et al. Robots can help to improve operational efficiency by automating tasks that are typically done manually. This area has been underexplored by scholars so far, and thus could be potentially promising avenues for future research. Supply Chain Management: An International Journal, 21(5), 513533. 2016). 2010; MacKenzie 2001). https://doi.org/10.1086/208520. how service robots are used in hospitality to produce and deliver customer services. 2019). Belanche, D. Casal, L. V., Flavin, C., & Schepers, J. Reeder, G. D., Vonk, R., Ronk, M. J., Ham, J., & Lawrence, M. (2004). Indeed, to achieve a successful introduction, not only companies but also customers need to be ready and willing to accept such innovation (Ivanov and Webster 2018). Rosenthal-von der Pthen, A. M., & Krmer, N. C. (2014). International Journal of Hospitality Management,94, 102823. 2016), we have analyzed to what extent customers perceptions and thoughts about this innovation are affecting their decisions to use and recommend service robots being employed in hospitality and tourism industries. Yang, K., & Jolly, L. D. (2009). https://doi.org/10.1016/j.tourman.2010.04.007. Mori, M., MacDorman, K. F., & Kageki, N. (2012). (2005). Journal of Service Management, 29(5), 907931. Hofmann, P., Samp, C., & Urbach, N. (2020). China). This eliminates the need to wait in line at the front desk or interact with other humans. Is that car smiling at me? Journal of Services Marketing, 17(6), 621639. International Journal of Human-Computer Studies, 64(1), 5378. Casal, L. V., Flavin, C., & Guinalu, M. (2010). https://doi.org/10.1016/j.jretconser.2009.08.005. https://doi.org/10.1080/10548408.2015.1125823. Robots are friends as well as foes: Ambivalent attitudes toward mindful and mindless AI robots in the United States and China. Exploring customer experiences with robotics in hospitality. Brave new world: service robots in the frontline. European Journal of Tourism Research, 15(2017), 104111. Electronic Markets, 30(1), 99106. Artificial intelligence in service. Tuomi et al. Service robots rising: How humanoid robots influence service experiences and elicit compensatory consumer responses. Indeed, literature on sales management has widely covered how empathy and communication help building affinity between the salesperson and the customer (Smith 1998). Leveraging human-likeness of robotic service at restaurants. The challenges and obstacles related to robots in hotels are also many. An important emerging business model is the sharing or collaborative economy which has further changed the landscape of hospitality and tourism. Shin, H. H., & Jeong, M. (2020). Carlos Flavin. 1999). Reducing perceived health risk to attract hotel customers in the COVID-19 pandemic era: Focused on technology innovation for social distancing and cleanliness. Journal of Consumer Research, 12, 341352. World robotics report 2018. Yoganathan, V., Osburg, V. S., Kunz, W. H., & Toporowski, W. (2021). The second row in Table 3 (M2) adds to the proposed model a direct effect of perceived human-likeness on intention to use robots in hospitality services. Robot with humanoid hands cooks food better? Computers in Human Behavior,115, 106612. https://doi.org/10.1080/19368623.2019.1639095. 2017; Ivanov 2019; Ivanov et al. 2020a). Belanche Gracia, D., Casal Ario, L. V., & Flavin Blanco, C. (2012). Rafaeli, A. Otterbring, T., Ringler, C., Sirianni, N. J., & Gustafsson, A. How Sincere is an Apology? 2016). Computers in Human Behavior, 61, 404414. Journal of Marketing, 69(2), 6183. Final measures can be seen in appendix Table 4. Consumer evaluation of hotel service robots. Ho, T. H., Tojib, D., & Tsarenko, Y. Indeed, sales of service robots for professional and personal use are growing at annual rates greater than 30% (International Federation of Robotics 2018). Tourists Attitudes toward the Use of Artificially Intelligent (AI) Devices in Tourism Service Delivery: Moderating Role of Service Value Seeking. The global market for hotel robots is expected to grow from $79 million in 2020 to $338 million by 2025, at a compound annual growth rate (CAGR) of 32.8%, according to a report by MarketsandMarkets. More interestingly, it is found that consumers expect service robots to behave like humans when they look like human beings. Understanding the role of artificial intelligence in personalized engagement marketing. Perceptions of Domestic Robots Normative Behavior Across Cultures. In turn, according to previous research on human-robot interaction, affinity refers to a kind of human description of the robot as a friendly or good feeling entity (Maehara and Fujinami 2018). Broadbent, E., Stafford, R., & MacDonald, B. 1. Service robots or human staff: How social crowding shapes tourist preferences. Tinwell, A., Grimshaw, M., Nabi, D. A., & Williams, A. 2020a; Mende et al. Yoganathan, V., Osburg, V. S., Kunz, W. H., & Toporowski, W. (2021).

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