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研究生: 丁丞尚
Deschamps, Kevin Didier
論文名稱: Examining Omotenashi in the Age of AI: A Study of Human AI Collaborating In Hospitality Service Operations
Examining Omotenashi in the Age of AI: A Study of Human AI Collaborating In Hospitality Service Operations
指導教授: 林彣珊
Lin, Wen-Shan
學位類別: 碩士
Master
系所名稱: 管理學院 - 國際經營管理研究所
Institute of International Management
論文出版年: 2026
畢業學年度: 114
語文別: 英文
論文頁數: 77
外文關鍵詞: Omotenashi, Hospitality, Service Operation Management, Customer Service, Human Interactions, High value, Technological Integration, Innovation, Digitalization, AI, Value creation, Loyalty
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  • The study adopted a qualitative design with long, open-ended interviews conducted at the Osaka World Expo. Respondents were guests, managers, and AI engineers. This exploratory thesis examines how omotenashi the Japanese ideal of wholehearted, culturally based hospitality, can be preserved and maintained in its authentic form when artificial intelligence does some of the work. The theoretical framework of the interaction between human and technological resources to form value is based on the Service-Dominant Logic, and the cultural authenticity facilitate the exploration and the interaction between traditional values of services and the AI potential. With AI gaining ubiquity in hotels and restaurants, scholars wonder if such technology could allegedly strip these structures of the emotionality that they focus on. The paper explores the application of human cultural and emotional capabilities with an AI system to build service experiences that remain omotenashi. According to interviews, AI makes the processes faster, more accurate, and consistent, but it is unable to create the human empathy, cultural understanding or willingness to act upon the unspoken needs. Employees see AI as an additional tool that complements omotenashi but without replacing it, allowing the interactions that are culturally significant to survive. Results describe the collaboration between humans and AI to preserve the spirit of omotenashi in the tradition and to enjoy the benefits of technology, the speed in addition to the reach.

    ABSTRACT IV ACKNOWLEDGEMENTS V TABLE OF CONTENTS VI LIST OF TABLES IX LIST OF FIGURES X CHAPTER ONE INTRODUCTION 11 1.1 Research Background and Motivation. 11 1.2 Research Objective. 13 1.2.1 Theoretical Perspective. 13 1.3 Research Questions. 13 CHAPTER TWO LITERATURE REVIEW 15 2.1 Theoretical Framework. 15 2.1.1 Omotenashi in Contemporary Hospitality Research. 15 2.1.2 Human and Artificial Intelligence Roles. 18 2.1.3 Service-Dominant Logic Framework. 20 2.1.4 Working Definitions of Key Constructs 21 2.2 Conceptual Model. 23 2.3 Implications for Research and Practice. 25 CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY 28 3.1 Research Framework. 28 3.2 Research Propositions. 29 3.3 Research Tools and Data Collection Methods. 30 3.3.1 Participant Recruitment and Selection. 30 3.3.2 Semi-Structured In-Depth Interviews. 31 3.3.3 Ethical Considerations. 33 3.4 Data Analysis. 34 3.4.1 Analytical Framework. 34 3.4.2 Coding Framework. 35 3.4.3 Coding Reliability. 35 3.4.4 Analytical Units. 35 CHAPTER FOUR RESEARCH RESULTS 37 4.1 Qualitative Study. 37 4.1.1 Introduction to Qualitative Study & Methodological Recap. 37 4.1.2 Methodological Synthesis and Reflexivity. 38 4.1.3 Thematic Comparison 1: The Primacy and Paradox of Human-Centric Values. 42 4.1.4 Thematic Comparison 2: AI as an Enhancer of Experience. 45 4.1.5 Thematic Comparison 3: The Synergistic Path of Human-AI Collaboration and Cultural Authenticity. 47 CHAPTER FIVE CONCLUSION AND SUGGESTIONS 50 5.1 Research Discussion. 50 5.2 Theoretical Contributions. 52 5.3 Practical Implications. 53 5.3.1 Managerial Implications. 53 5.3.2 Implications for Policymakers. 53 5.4 Limitations and Future Research Suggestions. 54 5.4.1 Sample and Context Limitations. 54 5.4.2 Measurement Limitations. 55 REFERENCES 57 APPENDICES 73

    Aksoy, L., Choi, S., Dogru, T., Keiningham, T., Lorenz, M., Rubin, D., & Tracey, J. B. (2022). Global trends in hospitality. Journal of Business Research, 142, 957-973.
    Al-Alsheikh, A. (2014). The origin of Japanese excellent customer service. 経営戦略研究= Studies in business and accounting(8), 23-42.
    Aluri, A., Gupta, R., & Brown, E. Investigating the Impact of Automation, Digital Worker, and Artificial Intelligence on the Hospitality Industry. Journal of Hospitality & Tourism Cases, 21649987251356946.
    Ashta, A., & Stokes, P. (2024). When Japanese ‘omotenashi’care fails in intercultural situations: an autoethnographic account of dynamics of thorny disharmony. Journal of Asia Business Studies, 18(6), 1603-1619.
    Asif, M. (2015). A critical review of service excellence models: towards developing an integrated framework. Quality & Quantity, 49(2), 763-783.
    Asif, M., & Gouthier, M. H. (2015). Developing a self–diagnostic framework for assessing service excellence. International Journal of Services and Operations Management, 20(4), 441-460.
    Atta, A. (2024). Investigating the impact of cultural competence training on relationship capital: the role of emotional intelligence as a mediator and cognitive flexibility as a moderator. International Journal of Contemporary Issues in Social Sciences, 3(4).
    Aulia, R. I. (2025). The Representation of Omotenashi Culture in the Manga Shinya Shokudou by Abe Yaro. Paper presented at the Proceeding of International Conference on Japanese Studies, Language and Education.
    Bai, S., Zhang, W., & Yu, D. (2024). Uncovering effects of virtual endorser’s attractiveness on consumer behaviors from the perspective of national culture. Current Psychology, 43(34), 27534-27547.
    Barnes, A. J., Zhang, Y., & Valenzuela, A. (2024). AI and culture: Culturally dependent responses to AI systems. Current Opinion in Psychology, 58, 101838.
    Benbya, H., Nan, N., Tanriverdi, H., & Yoo, Y. (2020). Complexity and information systems research in the emerging digital world. MIS quarterly, 44(1), 1-17.
    Bowen, G. A. (2009). Document analysis as a qualitative research method. Qualitative research journal, 9(2), 27-40.
    Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.
    Braun, V., & Clarke, V. (2019). Reflecting on reflexive thematic analysis. Qualitative research in sport, exercise and health, 11(4), 589-597.
    Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide.
    Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of cross-cultural psychology, 1(3), 185-216.
    Bryman, A. (2016). Social research methods: Oxford university press.
    Buhalis, D., & Sinarta, Y. (2019). Real-time co-creation and nowness service: lessons from tourism and hospitality. Journal of Travel & Tourism Marketing, 36(5), 563-582.
    Cabrilo, S., Leung, R., Tsai, F.-S., & Dahms, S. (2024). “I am served by a Robot!”: internal antecedents of customer acceptance of robotic hotel-service agents. Journal of Organizational Change Management, 37(7), 1427-1445.
    Čaić, M., Odekerken-Schröder, G., & Mahr, D. (2018). Service robots: value co-creation and co-destruction in elderly care networks. Journal of service management, 29(2), 178-205.
    Campbell, J. L., Quincy, C., Osserman, J., & Pedersen, O. K. (2013). Coding in-depth semistructured interviews: Problems of unitization and intercoder reliability and agreement. Sociological methods & research, 42(3), 294-320.
    Campbell, R., Javorka, M., Engleton, J., Fishwick, K., Gregory, K., & Goodman-Williams, R. (2023). Open-science guidance for qualitative research: An empirically validated approach for de-identifying sensitive narrative data. Advances in Methods and Practices in Psychological Science, 6(4), 25152459231205832.
    Carter, N. (2014). The use of triangulation in qualitative research. Number 5/September 2014, 41(5), 545-547.
    Chaturvedi, R., Verma, S., Ali, F., & Kumar, S. (2024). Reshaping tourist experience with AI-enabled technologies: a comprehensive review and future research agenda. International Journal of Human–Computer Interaction, 40(18), 5517-5533.
    Chhabra, D., Healy, R., & Sills, E. (2003). Staged authenticity and heritage tourism. Annals of Tourism Research, 30(3), 702-719.
    Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and psychological measurement, 20(1), 37-46.
    Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative science quarterly, 35(1), 128-152.
    Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches: Sage publications.
    Dalkin, S., Forster, N., Hodgson, P., Lhussier, M., & Carr, S. M. (2021). Using computer assisted qualitative data analysis software (CAQDAS; NVivo) to assist in the complex process of realist theory generation, refinement and testing. International Journal of Social Research Methodology, 24(1), 123-134.
    Davenport, T. H., & Kirby, J. (2016). Only humans need apply: Winners and losers in the age of smart machines (Vol. 1): Harper Business New York.
    DeJonckheere, M., & Vaughn, L. M. (2019). Semistructured interviewing in primary care research: a balance of relationship and rigour. Family medicine and community health, 7(2), e000057.
    Denzin, N. K. (2012). Triangulation 2.0. Journal of mixed methods research, 6(2), 80-88.
    Denzin, N. K. (2017). The research act: A theoretical introduction to sociological methods: Routledge.
    Emerson, R. M., Fretz, R. I., & Shaw, L. L. (2011). Writing ethnographic fieldnotes. Chicago, IL: University of Chicago press.
    Enholm, I. M., Papagiannidis, E., Mikalef, P., & Krogstie, J. (2022). Artificial intelligence and business value: A literature review. Information systems frontiers, 24(5), 1709-1734.
    Essentials, E. (2010). Designing, Conducting, and Presenting Your Research. San Francisco, CA: Jossey-Bass.
    Fereday, J., & Muir-Cochrane, E. (2006). Demonstrating rigor using thematic analysis: A hybrid approach of inductive and deductive coding and theme development. International journal of qualitative methods, 5(1), 80-92.
    Fernandes, M. D., Wani, P. S., & Shah, G. D. (2024). The Integration of Artificial Intelligence in the Hospitality Industry Hotel and Travel Management in the AI Era (pp. 525-550): IGI Global.
    Fu, Y., Shi, K., & Xi, L. (2025). Artificial intelligence and machine learning in the preservation and innovation of intangible cultural heritage: ethical considerations and design frameworks. Digital Scholarship in the Humanities, 40(2), 487-508.
    Ghaith, K. (2025). Bridging Tradition and Technology: AI as a Catalyst for Heritage Preservation and Humanities Research. International Journal of Emerging and Disruptive Innovation in Education: VISIONARIUM, 3(1), 4.
    Glaser, B., & Strauss, A. (2017). Discovery of grounded theory: Strategies for qualitative research. Chicago, IL: Aldine.
    Goantara, L. O. (2019). Analysis on Japanese hospitality spirit of omotenashi: Does it work in other countries? A case of its implementation in Indonesia. (Bachelor Thesis,), Lund University, Sweden.
    Gong, T. (2025). Unveiling the Nexus: Service robot support and proactive customer service performance in hospitality industry. International Journal of Hospitality Management, 129, 104202.
    Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS quarterly, 213-236.
    Gordon, L. M. (2024). Exploring the Significance of Emotional Intelligence in Organizational Effectiveness: A Case Study of Created to Serve Ministries. Liberty University.
    Grönroos, C., & Voima, P. (2013). Critical service logic: making sense of value creation and co-creation. Journal of the academy of marketing science, 41(2), 133-150.
    Guest, G., Bunce, A., & Johnson, L. (2006). How many interviews are enough? An experiment with data saturation and variability. Field methods, 18(1), 59-82.
    Hatfield, E., Cacioppo, J. T., & Rapson, R. L. (1993). Emotional contagion. Current directions in psychological science, 2(3), 96-100.
    Heskett, J. (2022). Win from within: Build organizational culture for competitive advantage: Columbia University Press.
    Hitt, M. A., Beamish, P. W., Jackson, S. E., & Mathieu, J. E. (2007). Building theoretical and empirical bridges across levels: Multilevel research in management. Academy of Management journal, 50(6), 1385-1399.
    Hofstede, G. (1993). Cultural constraints in management theories. Academy of Management Perspectives, 7(1), 81-94.
    Hofstede, G. (2011). Dimensionalizing cultures: The Hofstede model in context. Online readings in psychology and culture, 2(1), 8.
    Holzwarth, M., Janiszewski, C., & Neumann, M. M. (2006). The influence of avatars on online consumer shopping behavior. Journal of marketing, 70(4), 19-36.
    Huang, M.-H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of service research, 21(2), 155-172.
    Ikeda, N. (2013). Omotenashi: Japanese hospitality as the global standard Management of service businesses in Japan (pp. 145-154): World Scientific.
    Im, E.-O., & Meleis, A. I. (2021). Situation-specific theories: philosophical roots, properties, and approach Situation Specific Theories: Development, Utilization, and Evaluation in Nursing (pp. 13-27): Springer.
    Ivanov, S., & Webster, C. (2018). Perceived appropriateness and intention to use service robots in tourism. Paper presented at the Information and Communication Technologies in Tourism 2019: Proceedings of the International Conference in Nicosia, Cyprus, January 30–February 1, 2019.
    Ivanov, S. H., Webster, C., & Berezina, K. (2017). Adoption of robots and service automation by tourism and hospitality companies. Revista Turismo & Desenvolvimento, 27(28), 1501-1517.
    Jackson, K., & Bazeley, P. (2019). Qualitative data analysis with NVivo. London, UK: : Sage.
    Jenkins, M., & Brotherton, C. (1995). In search of a theoretical framework for practice, part 2. British Journal of Occupational Therapy, 58(8), 332-336.
    Jeong, E., & Lee, D. (2025). AI–human collaboration in services: an integrative framework to uncover the key success factors. Service Business, 19(3), 20.
    Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature machine intelligence, 1(9), 389-399.
    Kaiser, K. (2009). Protecting respondent confidentiality in qualitative research. Qualitative health research, 19(11), 1632-1641.
    Kallio, H., Pietilä, A. M., Johnson, M., & Kangasniemi, M. (2016). Systematic methodological review: developing a framework for a qualitative semi‐structured interview guide. Journal of advanced nursing, 72(12), 2954-2965.
    Kastuti, T. I., Wulandari, S., & Sari, C. D. P. (2023). Design and Build Omotenashi (Japanese-Style Hospitality) Applications Through Chanoyu Based on Graphical Users Interfaces (GUI). International Journal of Business, Humanities, Education and Social Sciences (IJBHES), 5(1), 49-55.
    Kawulich, B. B. (2005). Participant observation as a data collection method. Paper presented at the Forum: Qualitative Social Research/Qualitative Sozialforschung.
    Kim, H., So, K. K. F., Shin, S., & Li, J. (2025). Artificial intelligence in hospitality and tourism: Insights from industry practices, research literature, and expert opinions. Journal of Hospitality & Tourism Research, 49(2), 366-385.
    Klaus, P., & Maklan, S. (2011). Bridging the gap for destination extreme sports: A model of sports tourism customer experience. Journal of Marketing Management, 27(13-14), 1341-1365.
    Kohnke, L., Moorhouse, B. L., & Zou, D. (2023). ChatGPT for language teaching and learning. Relc Journal, 54(2), 537-550.
    Kułakowska, M. (2020). Interpretive theories in political science. Teoria Polityki(4), 31-41.
    Kvale, S. (2009). Interviews: Learning the craft of qualitative research interviewing. Thousand Oaks, CA: Sage.
    Landis, J. R., & Koch, G. G. (1977). The measurement of observer agreement for categorical data. biometrics, 159-174.
    Larivière, B., Bowen, D., Andreassen, T. W., Kunz, W., Sirianni, N. J., Voss, C., . . . De Keyser, A. (2017). “Service Encounter 2.0”: An investigation into the roles of technology, employees and customers. Journal of Business Research, 79, 238-246.
    Lăzăroiu, G., Neguriţă, O., Grecu, I., Grecu, G., & Mitran, P. C. (2020). Consumers’ decision-making process on social commerce platforms: Online trust, perceived risk, and purchase intentions. Frontiers in psychology, 11, 890.
    Lebovitz, S., Lifshitz-Assaf, H., & Levina, N. (2022). To engage or not to engage with AI for critical judgments: How professionals deal with opacity when using AI for medical diagnosis. Organization science, 33(1), 126-148.
    Lee, H., Shimizu, Y., Masuda, T., & Uleman, J. S. (2017). Cultural differences in spontaneous trait and situation inferences. Journal of cross-cultural psychology, 48(5), 627-643.
    Leingpibul, T., Thomas, S., & Allen, M. (2025). Cross-cultural dimensions of AI service acceptance in Asian hospitality markets. Asia Pacific Journal of Tourism Research, 30(1), 112–134.
    Ling, J., Xie, J., Wang, R., Li, L., Zhang, H., Zhong, C., . . . Ou-yang, L. (2025). A Framework for the Transmission of Rural Cultural Heritage Through the Integration of Artificial Intelligence and Public Art Curriculum Reform. Paper presented at the International Conference on Human-Computer Interaction.
    Lu, W., Su, Y., Su, S., Zhao, J., & Zhang, L. (2022). Perceived authenticity and experience quality in intangible cultural heritage tourism: The case of Kunqu Opera in China. Sustainability, 14(5), 2940.
    Luo, A., Guchait, P., Lee, L., & Madera, J. M. (2019). Transformational leadership and service recovery performance: The mediating effect of emotional labor and the influence of culture. International Journal of Hospitality Management, 77, 31-39.
    Marinova, D., de Ruyter, K., Huang, M.-H., Meuter, M. L., & Challagalla, G. (2017). Getting smart: Learning from technology-empowered frontline interactions. Journal of service research, 20(1), 29-42.
    Marsilio, M., & Mastrodascio, M. (2025). Technology-enabled value co-creation in healthcare: a configurational approach. Public Management Review, 27(10), 2268-2290.
    Mathwick, C., Malhotra, N., & Rigdon, E. (2001). Experiential value: conceptualization, measurement and application in the catalog and Internet shopping environment☆. Journal of retailing, 77(1), 39-56.
    McHugh, M. L. (2012). Interrater reliability: the kappa statistic. Biochemia medica, 22(3), 276-282.
    McKnight, D. H., Liu, P., & Pentland, B. T. (2020). Trust change in information technology products. Journal of Management Information Systems, 37(4), 1015-1046.
    Miles, C. (2023). The Marketing of Service-Dominant Logic. New York: Springer
    Morgan, H. (2022). Conducting a qualitative document analysis. The Qualitative Report, 27(1), 64-77.
    Morgan, H. (2024). Using triangulation and crystallization to make qualitative studies trustworthy and rigorous. The Qualitative Report, 29(7), 1844-1856.
    Morishita, S. (2021). What is Omotenashi? A comparative analysis with service and hospitality in the Japanese lodging industry. Journal of Advanced Management Science, 9(4).
    Nakaya, T. (2019). The Japanese concept KOKORO and its axiological aspects in the discourse of moral education. Adeptus(13), 1-22.
    Nguyen, M. (2024). Artificial Intelligence Chatbots in Telecommunications: Transforming Customer Service in the Digital Age.
    Ning, W. (2017). Rethinking authenticity in tourism experience The political nature of cultural heritage and tourism (pp. 469-490): Routledge.
    Nishijima, A. (2017). The concept of omotenashi in Japanese hospitality: An ethnographic study. Tourism Management Perspectives,, 24(0), 139-148.
    O’Connor, C., & Joffe, H. (2020). Intercoder reliability in qualitative research: Debates and practical guidelines. International journal of qualitative methods, 19, 1609406919899220.
    Okazaki, M. (2025). The History and Materials Science of Tea Utensils. Cambridge, UK: Cambridge Scholars Publishing.
    Orange, A. (2016). Encouraging reflexive practices in doctoral students through research journals. The Qualitative Report, 21(12), 2176.
    Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and policy in mental health and mental health services research, 42(5), 533-544.
    Patton, M. Q. (2014). Qualitative research & evaluation methods: Integrating theory and practice. Oxford, UK: Sage publications.
    Paul, H., Bamel, U. K., & Garg, P. (2016). Employee resilience and OCB: Mediating effects of organizational commitment. Vikalpa, 41(4), 308-324.
    Peters, L. (2018). Resource integration: concepts and processes. Oxford, UK: The SAGE handbook of service-dominant logic.
    Puorto, S. (2025). Humans-as-Luxury: The Future of Hospitality in an AI-Driven Age. ROBONOMICS: The Journal of the Automated Economy, 6(77), 1.
    Raajpoot, N. (2004). Reconceptualizing service encounter quality in a non-western context. Journal of service research, 7(2), 181-201.
    Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: The automation–augmentation paradox. Academy of management review, 46(1), 192-210.
    Reisinger, Y., & Turner, L. (2012). Cross-cultural behaviour in tourism. Oxford, UK: Butterworth-Heinemann.
    Richards, L. (1999). Using NVivo in qualitative research. London, UK: Sage.
    Rousseau, D. M. (1985). Issues of level in organizational research: Multi-level and cross-level perspectives. Research in organizational behavior.
    Rubin, H. J., & Rubin, I. S. (2011). Qualitative interviewing: The art of hearing data. Thousand Oaks, CA: sage.
    Ruslin, R., Mashuri, S., Rasak, M. S. A., Alhabsyi, F., & Syam, H. (2022). Semi-structured Interview: A methodological reflection on the development of a qualitative research instrument in educational studies. IOSR Journal of Research & Method in Education (IOSR-JRME), 12(1), 22-29.
    Safronova, T. N., Yabrova, O. A., Shitova, D. D., & Khaneeva, M. A. (2023). Tourism market in the World and in Russia: modern state and development prospects. Наука Красноярья: экономический журнал, 12(3), 26-43.
    Saldaña, J. (2021). The coding manual for qualitative researchers (4th ed. ed.). London, UK: Sage.
    Sardesai, S., D’Souza, E., & Govekar, S. (2024). Analysing the impacts of artificial intelligence service quality and human service quality on customer satisfaction and customer loyalty in the hospitality sector. Turizam, 28(1), 37-48.
    Saunders, B., Kitzinger, J., & Kitzinger, C. (2015). Anonymising interview data: Challenges and compromise in practice. Qualitative research, 15(5), 616-632.
    Sheng, J. Q., Hu, P. J.-H., Liu, X., Huang, T.-S., & Chen, Y. H. (2021). Predictive analytics for care and management of patients with acute diseases: Deep learning–based method to predict crucial complication phenotypes. Journal of medical Internet research, 23(2), e18372.
    Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. New York:: John Wiley & Sons.
    Simon-Maeda, A. (2011). Being and becoming a speaker of Japanese: An autoethnographic account (Vol. 53): Multilingual Matters.
    Squires, A. (2009). Methodological challenges in cross-language qualitative research: A research review. International journal of nursing studies, 46(2), 277-287.
    Stelmach, B. (2016). Issues with evidence in constructivist/interpretivist educational research The Best Available Evidence (pp. 19-32): Brill.
    Surprenant, C. F., & Solomon, M. R. (1987). Predictability and personalization in the service encounter. Journal of marketing, 51(2), 86-96.
    Teece, D. J. (2007). Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance. Strategic management journal, 28(13), 1319-1350.
    Triola, N. (2007). Authentic leadership begins with emotional intelligence. AACN advanced critical care, 18(3), 244-247.
    Tsang, D. (2016). Work Autonomy and Product Innovation Industrial Democracy in the Chinese Aerospace Industry: The Innovation Catalyst (pp. 35-55). London, UK: Springer.
    Tussyadiah, I. P., & Park, S. (2018). When guests trust hosts for their words: Host description and trust in sharing economy. Tourism Management, 67, 261-272.
    Vaccaro, M., Almaatouq, A., & Malone, T. (2024). When combinations of humans and AI are useful: A systematic review and meta-analysis. Nature Human Behaviour, 8(12), 2293-2303.
    Van Nes, F., Abma, T., Jonsson, H., & Deeg, D. (2010). Language differences in qualitative research: is meaning lost in translation? European journal of ageing, 7(4), 313-316.
    Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68(1), 1-17. https://doi.org/10.1509/jmkg.68.1.1.24036
    Vargo, S. L., & Lusch, R. F. (2008). Service-dominant logic: continuing the evolution. Journal of the academy of marketing science, 36(1), 1-10.
    Vargo, S. L., & Lusch, R. F. (2014). Evolving to a new dominant logic for marketing The service-dominant logic of marketing (pp. 3-28): Routledge.
    Vargo, S. L., & Lusch, R. F. (2016). Institutions and axioms: an extension and update of service-dominant logic. Journal of the academy of marketing science, 44(1), 5-23.
    Vidon, E. S., Rickly, J. M., & Knudsen, D. C. (2018). Wilderness state of mind: Expanding authenticity. Annals of Tourism Research, 73, 62-70.
    Wang, N. (1999). Rethinking authenticity in tourism experience. Annals of Tourism Research, 26(2), 349-370. https://doi.org/10.1016/S0160-7383(98)00103-0
    Wang, H., Gong, Y., Zhang, Y., & Li, F. (2025). Artificial Intelligence for Sustainable Cultural Heritage: Practical Guidelines and Case-Based Evidence. Sustainability, 17(20), 9192.
    Wang, T.-C., Guo, R.-S., Chen, C., & Li, C.-K. (2025). Multi-Stage Data-Driven Framework for Customer Journey Optimization and Operational Resilience. Mathematics, 13(7), 1145.
    Wang, T., Cheng-Xi Aw, E., Wei-Han Tan, G., Sthapit, E., & Li, X. (2025). Can AI improve hotel service performance? A systematic review using ADO-TCM. Tourism and Hospitality Research, 14673584251356817.
    Wijayanti, A., & Saifudin, M. (2021). The role of omotenashi in building customer loyalty. Journal of Asian Business Strategy, 11(2), 215–227.
    Wiles, R., Crow, G., Heath, S., & Charles, V. (2008). The management of confidentiality and anonymity in social research. International Journal of Social Research Methodology, 11(5), 417-428.
    Wirtz, J., Patterson, P. G., Kunz, W. H., Gruber, T., Lu, V. N., Paluch, S., & Martins, A. (2018). Brave new world: service robots in the frontline. Journal of service management, 29(5), 907-931.
    Xing, B., Li, S., & Xie, D. (2022). The effect of fine service on customer loyalty in rural homestays: The mediating role of customer emotion. Frontiers in psychology, 13, 964522.
    Xu, C., & Cho, S.-E. (2025). Factors Affecting Human–AI Collaboration Performances in Financial Sector: Sustainable Service Development Perspective. Sustainability, 17(10), 4335.
    Yamamura, E., & Tsutsui, Y. (2020). The impact of postponing 2020 Tokyo Olympics on the happiness of O-MO-TE-NA-SHI workers in tourism: A consequence of COVID-19. Sustainability, 12(19), 8168.
    Yang, D., Liu, S., Liang, Y., Li, K., & Zhao, Y. (2025). The Impact of Human-Robot Collaboration Work Mode on Hotel Employees’ Work Well-Being. SAGE Open, 15(1), 21582440251323518.
    Yi, X., Lin, V. S., Jin, W., & Luo, Q. (2017). The authenticity of heritage sites, tourists’ quest for existential authenticity, and destination loyalty. Journal of Travel Research, 56(8), 1032-1048.
    Yin, R. K. (2018). Case study research and applications (Vol. 6). Thousand Oaks, CA: : Sage.

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