Ảnh hưởng của các yếu tố chất lượng chatbot đến hành vi đồng sáng tạo giá trị của du khách: tiếp cận theo khung SOR
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Author
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Nguyễn Thị Bích ThuỷTrường Đại học Kinh tế - Đại học Đà Nẵng, Đà Nẵng, Việt NamPhạm Thái Mỹ TịnhTrường Đại học Kinh tế - Đại học Đà Nẵng, Đà Nẵng, Việt NamNguyễn Viết VĩnhTrường Đại học Kinh tế - Đại học Đà Nẵng, Đà Nẵng, Việt Nam
Từ khóa:
Tóm tắt
Đồng sáng tạo giá trị ngày càng có ý nghĩa để gia tăng sự trải nghiệm đáng nhớ, cá nhân hóa cho du khách. Khi ngành du lịch ứng dụng ngày càng mạnh mẽ công nghệ thông minh, nghiên cứu để giải thích cơ chế thực hiện đồng sáng tạo giá trị trong môi trường ảo đang còn bị bỏ qua. Nghiên cứu này kết hợp mô hình về sự thành công của hệ thống thông tin, TAM và đồng sáng tạo giá trị để dự đoán hành vi đồng sáng tạo của khách du lịch với Chatbot trên nền tảng khung lý thuyết SOR. Phân tích dữ liệu thu thập từ 281 người dùng Chat GPT cho chuyến du lịch, kết quả cho thấy chất lượng thông tin, chất lượng dịch vụ, chất lượng hệ thống tác động đến nhận thức hữu ích và nhận thức tính thú vị và từ đó ảnh hưởng đến hành vi đồng sáng tạo giá trị. Các hàm ý cho thiết kế Chatbot để gia tăng hành vi đồng sáng tạo giá trị của du khách cũng đã được đưa ra trên cơ sở kết quả nghiên cứu.
Tài liệu tham khảo
-
[1] I. Lei, D. Wang, and R. Law, “Hoteliers’ service design for mobile-based value co-creation”, Int. J. Contemp. Hosp. Manag., Vol. 31, No. 11, pp. 4338–4356, 2019.
[2] Neuhofer, “Value co-creation and co-destruction in connected tourist experiences”, Information and Communication Technologies in Tourism 2016: Proceedings of the International Conference in Bilbao, Spain, February 2-5, 2016, Springer, 2016, pp. 779–792.
[3] C. Campos, J. Mendes, P. O. do Valle, and N. Scott, “Co-creation of tourist experiences: A literature review”, Curr. Issues Tour., Vol. 21, No. 4, pp. 369–400, 2018.
[4] T. Tuan, D. Rajendran, C. Rowley, and D. C. Khai, “Customer value co-creation in the business-to-business tourism context: The roles of corporate social responsibility and customer empowering behaviors”, J. Hosp. Tour. Manag., Vol. 39, pp. 137–149, 2019.
[5] Mohammadi, H. R. Yazdani, M. Jami Pour, and M. Soltani,
“Co-creation in tourism: a systematic mapping study”, Tour. Rev., Vol. 76, No. 2, pp. 305–343, 2021.
[6] Kotler, J. T. Bowen, J. C. Makens, and S. Baloglu, “Marketing for hospitality and tourism”, Pearson, 2014.
[7] Carlson, M. Rahman, R. Voola, and N. De Vries, “Customer engagement behaviours in social media: capturing innovation opportunities”, J. Serv. Mark., Vol. 32, No. 1, pp. 83–94, 2018.
[8] Kleinaltenkamp, R. J. Brodie, P. Frow, T. Hughes, L. D. Peters, and H. Woratschek, “Resource integration”, Mark. Theory, Vol. 12, No. 2, pp. 201–205, 2012.
[9] Caridà, B. Edvardsson, and M. Colurcio, “Conceptualizing resource integration as an embedded process: Matching, resourcing and valuing”, Mark. Theory, Vol. 19, No. 1, pp. 65–84, 2019.
[10] H. Manser Payne, A. J. Dahl, and J. Peltier, “Digital servitization value co-creation framework for AI services: a research agenda for digital transformation in financial service ecosystems”, J. Res. Interact. Mark., Vol. 15, No. 2, pp. 200–222, 2021.
[11] Solakis, V. Katsoni, A. B. Mahmoud, and N. Grigoriou, “Factors affecting value co-creation through artificial intelligence in tourism: a general literature review”, J. Tour. Futur., No. ahead-of-print, 2022. DOI: 10.1108/JTF-06-2021-0157
[12] M. Nguyen, Y.-T. H. Chiu, and H. D. Le, “Determinants of Continuance Intention towards Banks’ Chatbot Services in Vietnam: A Necessity for Sustainable Development”, Sustainability, Vol. 13, No. 14, 2021, doi: 10.3390/su13147625.
[13] Pereira, P. F. Limberger, S. M. Minasi, and D. Buhalis, “New Insights into Consumers’ Intention to Continue Using Chatbots in the Tourism Context”, J. Qual. Assur. Hosp. Tour., Published online: 27 Oct 2022, doi: 10.1080/1528008X.2022.2136817.
[14] Pillai and B. Sivathanu, “Adoption of AI-based chatbots for hospitality and tourism”, Int. J. Contemp. Hosp. Manag., Vol. 32, No. 10, pp. 3199–3226, 2020.
[15] Abbad, F. Jaber, K. AlQeisi, and S. Eletter, “Artificial Intelligence, Big Data, and Value Co-creation: A Conceptual Model”, Fourth Ind. Revolut. Implement. Artif. Intell. Grow. Bus. Success, pp. 475–483, 2021.
[16] O. Asante, Y. Jiang, A. M. Hossin, and X. Luo, “Optimization of consumer engagement with artificial in℡ligence elements on electronic commerce platforms”, J. Electron. Commer. Res., Vol. 24, No. 1, pp. 7–28, 2023.
[17] Lee, S. Ha, and R. Widdows, “Consumer responses to high-technology products: Product attributes, cognition, and emotions”, J. Bus. Res., Vol. 64, No. 11, pp. 1195–1200, 2011.
[18] Mehrabian and J. A. Russell, An approach to environmental psychology. the MIT Press, 1974.
[19] -H. Chang, S. Shu, and B. King, “Novelty in theme park physical surroundings: An application of the stimulus–organism–response paradigm”, Asia Pac. J. Tour. Res., Vol. 19, No. 6, pp. 680–699, 2014.
[20] A. Shawar and E. Atwell, “Chatbots: are they really useful?”, J. Lang. Technol. Comput. Linguist., Vol. 22, No. 1, pp. 29–49, 2007.
[21] Chung, E. Ko, H. Joung, and S. J. Kim, “Chatbot e-service and customer satisfaction regarding luxury brands”, J. Bus. Res., Vol. 117, pp. 587–595, 2020.
[22] Bowen and C. Morosan, “Beware hospitality industry: the robots are coming”, Worldw. Hosp. Tour. Themes, Vol. 10, No. 6, pp. 726–733, 2018.
[23] Mokos, “Designing a Chatbot for Thessaloniki”, International Hellenic University, Greece, 2020.
[24] Trivedi, “Examining the Customer Experience of Using Banking Chatbots and Its Impact on Brand Love: The Moderating Role of Perceived Risk”, J. Internet Commer., Vol. 18, No. 1, pp. 91–111, 2019, doi: 10.1080/15332861.2019.1567188.
[25] I. Sensuse et al., “Chatbot Evaluation as Knowledge Application: a Case Study of PT ABC”, trong 2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE), Thailand: Institute of Electrical and Electronics Engineers Inc, 2019, pp. 1–6.
[26] H. DeLone and E. R. McLean, “The DeLone and McLean model of information systems success: a ten-year update”, J. Manag. Inf. Syst., Vol. 19, No. 4, pp. 9–30, 2003.
[27] H. DeLone and E. R. McLean, “Information systems success: The quest for the dependent variable”, Inf. Syst. Res., Vol. 3, No. 1, pp. 60–95, 1992.
[28] Ashfaq, J. Yun, S. Yu, and S. M. C. Loureiro, “I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents”, Telemat. Inform., Vol. 54, pp. 101473, 2020.
[29] Magno and G. Dossena, “The effects of chatbots’ attributes on customer relationships with brands: PLS-SEM and importance–performance map analysis”, TQM J., Vol. 35, No. 5, pp. 1156–1169, 2023.
[30] D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Q., Vol 13, No. 3, pp. 319–340, 1989.
[31] S. H. Teo, V. K. G. Lim, and R. Y. C. Lai, “Intrinsic and extrinsic motivation in Internet usage”, Omega, Vol. 27, No. 1, pp. 25–37, 1999, doi: 10.1016/S0305-0483(98)00028-0.
[32] D. Davis, R. P. Bagozzi, and P. R. Warshaw, “Extrinsic and intrinsic motivation to use computers in the workplace 1”, J. Appl. Soc. Psychol., Vol. 22, No. 14, pp. 1111–1132, 1992.
[33] Ramaswamy and F. J. Gouillart, The power of co-creation: Build it with them to boost growth, productivity, and profits. America: Simon and Schuster, 2010.
[34] Sthapit and P. Björk, “Sources of value co-destruction: Uber customer perspectives”, Tour. Rev., Vol. 74, No. 4, pp. 780–794, 2019, doi: 10.1108/TR-12-2018-0176.
[35] L. Vargo and R. F. Lusch, “Evolving to a new dominant logic for marketing”, J. Mark., Vol. 68, No. 1, pp. 1–17, 2004.
[36] Marx, “Capital; A Critique of Political Economy Volume 1”. Foreign Languages Publishing House, 2015.
[37] Laud and I. O. Karpen, “Value co-creation behaviour–role of embeddedness and outcome considerations”, J. Serv. Theory Pract., Vol. 27, No. 4, pp. 778–807, 2017.
[38] Yi and T. Gong, “Customer value co-creation behavior: Scale development and validation”, J. Bus. Res., Vol. 66, No. 9, pp. 1279–1284, 2013.
[39] Groth, “Customers as good soldiers: Examining citizenship behaviors in internet service deliveries”, J. Manag., Vol. 31, No. 1, pp. 7–27, 2005.
[40] W. Belk, “Situational variables and consumer behavior”,
J. Consum. Res., Vol. 2, No. 3, pp. 157–164, 1975.
[41] A. Eroglu, K. A. Machleit, and L. M. Davis, “Atmospheric qualities of online retailing: A conceptual model and implications”, J. Bus. Res., Vol. 54, No. 2, pp. 177–184, 2001.
[42] P. Bagozzi, Principles of marketing management. Science Research Associates, 1986.
[43] Sherman, A. Mathur, and R. B. Smith, “Store environment and consumer purchase behavior: mediating role of consumer emotions”, Psychol. Mark., Vol. 14, No. 4, pp. 361–378, 1997.
[44] -H. Huang and R. T. Rust, “Artificial intelligence in service”, J. Serv. Res., Vol. 21, No. 2, pp. 155–172, 2018.
[45] Assiouras, G. Skourtis, A. Giannopoulos, D. Buhalis, and M. Koniordos, “Value co-creation and customer citizenship behavior”, Ann. Tour. Res., Vol. 78, pp. 102742, 2019.
[46] Alves and E. Wagner Mainardes, “Self-efficacy, trust, and perceived benefits in the co-creation of value by consumers”, Int. J. Retail Distrib. Manag., Vol. 45, No. 11, pp. 1159–1180, 2017.
[47] -T. Chang-Chien, J. C. Cheng, S.-C. Hsu, and Y. W. Yeh, “Anthropomorphism of AI-based Intelligent Customer Service, and Its Affective and Behavioral Consequences”, in Proceedings of the 55th Hawaii International Conference on System Sciences, United States: Hawaii International Conference on System Sciences, 2022, pp. 1914–1923.
[48] Ahn, S. Ryu, and I. Han, “The impact of Web quality and playfulness on user acceptance of online retailing”, Inf. Manage., Vol. 44, No. 3, pp. 263–275, 2007, doi: 10.1016/j.im.2006.12.008.
[49] Lee, H. Kim, and M. Park, “The Effects of Perceived Quality of Fashion Chatbot’s Product Recommendation Service on Perceived Usefulness, Trust and Consumer Response”, J. Korean Soc. Cloth. Text., Vol. 46, No. 1, pp. 80–98, 2022, doi: 10.5850/JKSCT.2022.46.1.80.
[50] Meyer-Waarden et al., “How Service Quality Influences Customer Acceptance and Usage of Chatbots?”, SMR - J. Serv. Manag. Res., Vol. 4, No. 1, pp. 35–51, 2020, doi: 10.15358/2511-8676-2020-1-35.
[51] Cheng, “Effects of quality antecedents on e‐learning acceptance”, Internet Res., Vol. 22, No. 3, pp. 361–390, 2012, doi: 10.1108/10662241211235699.
[52] Goossens, “Tourism information and pleasure motivation”, Ann. Tour. Res., Vol. 27, No. 2, pp. 301–321, 2000, doi: 10.1016/S0160-7383(99)00067-5.
[53] Pestek and M. Sarvan, “Virtual reality and modern tourism”, J. Tour. Futur., Vol. 7, No. 2, pp. 245–250, 2020, doi: 10.1108/JTF-01-2020-0004.
[54] Allam, M. Bliemel, L. Spiteri, J. Blustein, and H. Ali-Hassan, “Applying a multi-dimensional hedonic concept of intrinsic motivation on social tagging tools: A theoretical model and empirical validation”, Int. J. Inf. Manag., Vol. 45, pp. 211–222, 2019, doi: 10.1016/j.ijinfomgt.2018.11.005.
[55] Elo, J. Lintula, and T. Tuunanen, “Harnessing User Values to Understand Value Co-Creation and Co-Destruction in Augmented Reality Mobile Games”, trong Proceedings of the 54th Hawaii International Conference on System Sciences, United States: Hawaii International Conference on System Sciences, 2021, pp. 1171–1180.
[56] A. Merhabi, P. Petridis, and R. Khusainova, “Gamification for brand value co-creation: A systematic literature review”, Information, Vol. 12, No. 9, pp. 345, 2021.
[57] Xia, Y. Zhang, and C. Zhang, “A TAM-based approach to explore the effect of online experience on destination image: A smartphone user’s perspective”, J. Destin. Mark. Manag., Vol. 8, pp. 259–270, 2018, doi: 10.1016/j.jdmm.2017.05.002.
[58] A. Selamat and N. A. Windasari, “Chatbot for SMEs: Integrating customer and business owner perspectives”, Technol. Soc., Vol. 66, pp. 101685, 2021.
[59] Hu and P. M. Bentler, “Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives”, Struct. Equ. Model. Multidiscip. J., Vol. 6, No. 1, pp. 1–55, 1999.
[60] F. Hair, R. E. Anderson, B. J. Babin, and W. C. Black, Multivariate data analysis: a global perspective. Upper Saddle River NJ: Pearson, 2010.
[61] D. Gursoy, O. H. Chi, L. Lu, and R. Nunkoo, “Consumers acceptance of artificially intelligent (AI) device use in service delivery”, Int. J. Inf. Manag., Vol. 49, pp. 157–169, 2019, doi: 10.1016/j.ijinfomgt.2019.03.008.