Symmetric and Asymmetric Modeling to Understand Drivers and Consequences of Hotel Chatbot Engagement

References

• Ali, I., Ali, M., & Badghish, S. (2019). Symmetric and asymmetric modeling of entrepreneurial ecosystem in developing entrepreneurial intentions among female university students in Saudi Arabia. International Journal of Gender and Entrepreneurship. 11(4), 435–458. https://doi.org/10.1108/IJGE-02-2019-0039
   Google Scholar
• Ali, F., Ciftci, O., Nanu, L., Cobanoglu, C., & Ryu, K. (2021). Response rates in hospitality research: An overview of current practice and suggestions for future research. Cornell Hospitality Quarterly, 62(1), 105–120. https://doi.org/10.1177/1938965520943094
   Web of Science ®Google Scholar
• Ali, F., Dogan, S., Amin, M., Hussain, K., & Ryu, K. (2021). Brand anthropomorphism, love, and defense: Does attitude towards social distancing matter? The Service Industries Journal, 41(1–2), 58–83. https://doi.org/10.1080/02642069.2020.1867542
   Web of Science ®Google Scholar
• Ali, M., Seny Kan, A. K., & Sarstedt, M. (2016). Direct and configurational paths of absorptive capacity and organizational innovation to successful organizational performance. Journal of Business Research, 69(11), 5317–5323. https://doi.org/10.1016/j.jbusres.2016.04.131
   Web of Science ®Google Scholar
• Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., & Ryu, K. (2018). An assessment of the use of Partial Least Squares Structural Equation Modeling (PLS-SEM) in hospitality research. International Journal of Contemporary Hospitality Management, 30(1), 514–538. https://doi.org/10.1108/IJCHM-10-2016-0568
   Web of Science ®Google Scholar
• Alsetoohy, O., Ayoun, B., Arous, S., Megahed, F., & Nabil, G. (2019). Intelligent agent technology: What affects its adoption in hotel food supply chain management? Journal of Hospitality and Tourism Technology, 10(3), 286–310. https://doi.org/10.1108/JHTT-01-2018-0005
   Web of Science ®Google Scholar
• Ashfaq, M., Yun, J., Sh, Y., & Loureiro, S. M. C. (2020). I, Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of text-based conversational agents. Telematics and Informatics, 54, 101473. https://doi.org/10.1016/j.tele.2020.101473
   Web of Science ®Google Scholar
• Badrinarayanan, V., & Laverie, D. A. (2013). The role of manufacturers’ salespeople in inducing brand advocacy by retail sales associates. Journal of Marketing Theory and Practice, 21(1), 57–70. https://doi.org/10.2753/MTP1069-6679210104
   Google Scholar
• Bergkvist, L., & Bech-Larsen, T. (2010). Two studies of consequences and actionable antecedents of brand love. Journal of Brand Management, 17(7), 504–518. https://doi.org/10.1057/bm.2010.6
   Google Scholar
• Bhati, R., & Verma, H. V. (2020). Antecedents of customer brand advocacy: A meta-analysis of the empirical evidence. Journal of Research in Interactive Marketing, 14(2), 153–172. https://doi.org/10.1108/JRIM-12-2018-0165
   Web of Science ®Google Scholar
• Bhattacharya, C. B., & Sen, S. (2003). Consumer-company identification: A framework for understanding consumers’ relationships with companies. Journal of Marketing, 67(2), 76–88. https://doi.org/10.1509/jmkg.67.2.76.18609
   Web of Science ®Google Scholar
• Bilro, R. G., & Loureiro, S. M. C. (2020). A consumer engagement systematic review: Synthesis and research agenda. Spanish Journal of Marketing, 24(3), 83–307. https://doi.org/10.1108/SJME-01-2020-0021
   Google Scholar
• Bilro, R. G., Loureiro, S. M. C., & Ali, F. (2018). The role of website stimuli of experience on engagement and brand advocacy. Journal of Hospitality and Tourism Technology, 9(2), 204–222. https://doi.org/10.1108/JHTT-12-2017-0136
   Web of Science ®Google Scholar
• Bilro, R. G., Loureiro, S. M. C., & Guerreiro, J. (2019). Exploring online customer engagement with hospitality products and its relationship with involvement, emotional states, experience and brand advocacy. Journal of Hospitality Marketing & Management, 28(2), 147–171.
   Google Scholar
• Bortoluzzi, D. A., Lunkes, R. J., Santos, E., & Mendes, A. C. A. (2020). Effect of online hotel reviews on the relationship between defender and prospector strategies and management controls. International Journal of Contemporary Hospitality Management, 32(12), 3721–3745. https://doi.org/10.1108/IJCHM-04-2020-0297
   Google Scholar
• Brassington, F., & Pettitt, S. (2003). Principles of marketing (3rd ed.), Prentice-Hall.
   Google Scholar
• Buhrmester, M., Kwang, T., & Gosling, S. D. (2016). Amazon’s mechanical Turk: A new source of inexpensive, yet high-quality data? In A. E. Kazdin (Ed.), Methodological issues and strategies in clinical research, 4th ed. American Psychological Association. https://doi.org/10.1037/14805-009
   Google Scholar
• Capatina, A., Micu, A., Micu, A. E., Bouzaabia, R., & Bouzaabia, O. (2018). Country-based comparison of accommodation brands in social media: An fsQCA approach. Journal of Business Research, 89, 235–242. https://doi.org/10.1016/j.jbusres.2017.11.017
   Web of Science ®Google Scholar
• Cheng, V. T. P., & Guo, R. (2021). The impact of consumers’ attitudes towards technology on the acceptance of hotel technology-based innovation. Journal of Hospitality and Tourism Technology, 12(4), 624–640. https://doi.org/10.1108/JHTT-06-2020-0145
   Web of Science ®Google Scholar
• Fiss, P. C. (2011). Building better causal theories: A fuzzy set approach to typologies in organization research. Academy of Management Journal, 54(2), 393–420. https://doi.org/10.5465/amj.2011.60263120
   Web of Science ®Google Scholar
• Fornell, C., & Cha, J. (1994). Partial least squares. In R. P. Bagozzi (Ed.), Advanced methods of marketing research (pp. 52–78). Cambridge.
   Google Scholar
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.2307/3151312
   Web of Science ®Google Scholar
• Fuggetta. (2012). Brand advocates: Turning enthusiastic customers into a powerful marketing force. Wiley.
   Google Scholar
• GME. (2021). AI in hospitality market insights. Retrieved January 7, 2022, from https://www.globalmarketestimates.com/market-report/ai-in-hospitality-market-3546
   Google Scholar
• Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
   Web of Science ®Google Scholar
• He, H.-W., & Mukherjee, A. (2009). Corporate identity and consumer marketing: A process model and research agenda. Journal of Marketing Communications, 15(1), 1–16. https://doi.org/10.1080/13527260802018041
   Google Scholar
• Hospitalitynet. (2022). The impact of AI on the Hotel Industry. Retrieved March 24, 2022, from https://www.hospitalitynet.org/news/4108343.html
   Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
   Web of Science ®Google Scholar
• Huang, M. H., & Rust, R. T. (2021). Engaged to a robot? The role of AI in service. Journal of Service Research, 24(1), 30–41. https://doi.org/10.1177/1094670520902266
   Web of Science ®Google Scholar
• Islam, J., Rahman, Z., & Hollebeek, L. (2017). Personality factors as predictors of online consumer engagement: An empirical investigation. Marketing Intelligence & Planning, 35(4), 510–528. https://doi.org/10.1108/MIP-10-2016-0193
   Web of Science ®Google Scholar
• Ivanov, S., Gretzel, U., Berezina, K., Sigala, M., & Webster, C. (2019). Progress on robotics in hospitality and tourism: A review of the literature. Journal of Hospitality and Tourism Technology, 10(4), 489–521. https://doi.org/10.1108/JHTT-08-2018-0087
   Web of Science ®Google Scholar
• Joshi, A. W., & Sharma, S. (2004). Customer knowledge development: Antecedents and impact on new product performance. Journal of Marketing, 68(4), 47–59. https://doi.org/10.1509/jmkg.68.4.47.42722
   Web of Science ®Google Scholar
• Khan, H. U. R., Ali, M., Olya, H. & Zulqarnain, M. Khan, Z. R. (2018). Transformational leadership, corporate social responsibility, organizational innovation and organizational performance: Symmetrical and asymmetrical modeling approaches. Corporate Social Responsibility and Environmental Management, 25(6), 1270–1283. https://doi.org/10.1002/csr.1637
   Google Scholar
• Kumar, V., & Pansari, A. (2016). Competitive advantage through engagement. Journal of Marketing Research, 53(4), 497–514. https://doi.org/10.1509/jmr.15.0044
   Web of Science ®Google Scholar
• Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135–155. https://doi.org/10.1177/0008125619859317
   Web of Science ®Google Scholar
• Leischnig, A., Geigenmueller, A., & Lohmann, S. (2014). On the role of alliance management capability, organizational compatibility, and interaction quality in interorganizational technology transfer. Journal of Business Research, 67(6), 1049–1057. https://doi.org/10.1016/j.jbusres.2013.06.007
   Web of Science ®Google Scholar
• Leischnig, A., Henneberg, S. C., & Thornton, S. C. (2016). Net versus combinatory effects of firm and industry antecedents of sales growth. Journal of Business Research, 69(9), 3576–3583. https://doi.org/10.1016/j.jbusres.2016.01.005
   Web of Science ®Google Scholar
• Loureiro, S. M. C., Japutra, A., Molinillo, S., & Bilro, R. G. (2021). Stand by me: Analyzing the tourist–intelligent voice assistant relationship quality. International Journal of Contemporary Hospitality Management, 33(11), 3840–3859. https://doi.org/10.1108/IJCHM-09-2020-1032
   Web of Science ®Google Scholar
• Mael, A., & Ashforth, E. (1992). Alumni and their alma mater: A partial test of the reformulated model of organizational identification. Journal of Organizational Behavior, 13(2), 103–123. https://doi.org/10.1002/job.4030130202
   Web of Science ®Google Scholar
• Mazzarol, T., Sweeney, J. C., & Soutar, G. N. (2007). Conceptualizing word-of-mouth activity, triggers, and conditions. European Journal of Marketing, 41(11/12), 1475–1494. https://doi.org/10.1108/03090560710821260
   Web of Science ®Google Scholar
• McLean, G., & Osei-Frimpong, K. (2019). Hey Alexa… examine the variables influencing the use of artificial intelligent in-home voice assistants. Computers in Human Behavior, 99, 28–37. https://doi.org/10.1016/j.chb.2019.05.009
   Web of Science ®Google Scholar
• Mittal, V., & Kamakura, W. A. (2001). Satisfaction, repurchase intent, and repurchase behavior: Investigating the moderating effect of customer characteristics. Journal of Marketing Research, 38(1), 131–142. https://doi.org/10.1509/jmkr.38.1.131.18832
   Web of Science ®Google Scholar
• Moriuchi, E. (2019). Okay, Google! An empirical study on voice assistants on consumer engagement and loyalty. Psychology & Marketing, 36(5), 489–501. https://doi.org/10.1002/mar.21192
   Web of Science ®Google Scholar
• Nam, J., Ekinci, Y., & Whyatt, G. (2011). Brand equity, brand loyalty and consumer satisfaction. Annals of Tourism Research, 38(3), 1009–1030. https://doi.org/10.1016/j.annals.2011.01.015
   Web of Science ®Google Scholar
• Olya, H. G. T., Altinay Gazi, Z., Altinay Aksal, F., & Altinay, M. (2018). Behavioral intentions of disabled tourists for the use of peer-to-peer accommodations: An application of fsQCA. International Journal of Contemporary Hospitality Management, 30(1), 436–454. https://doi.org/10.1108/IJCHM-08-2016-0471
   Web of Science ®Google Scholar
• Olya, H. G. (2020). Towards advancing theory and methods on tourism development from residents’ perspectives: Developing a framework on the pathway to impact. Journal of Sustainable Tourism, 2020, 1–21. https://doi.org/10.1080/09669582.2020.1843046
   Google Scholar
• Olya, H. G., & Altinay, L. (2016). Asymmetric modeling of intention to purchase tourism weather insurance and loyalty. Journal of Business Research, 69(8), 2791–2800. https://doi.org/10.1016/j.jbusres.2015.11.015
   Web of Science ®Google Scholar
• Osei, B. A., Ragavan, N. A., & Mensah, H. K. (2020). Prospects of the fourth industrial revolution for the hospitality industry: A literature review. Journal of Hospitality and Tourism Technology, 11(3), 479–494. https://doi.org/10.1108/JHTT-08-2019-0107
   Web of Science ®Google Scholar
• Pai, D. C., Lai, C. S., Chiu, C. J., & Yang, C. F. (2015). Corporate social responsibility and brand advocacy in business-to-business market: The mediated moderating effect of attribution. Journal of Business Ethics, 126(4), 685–696. https://doi.org/10.1007/s10551-013-1979-5
   Web of Science ®Google Scholar
• Pappas, I. O., & Woodside, A. G. (2021). Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing. International Journal of Information Management, 58, 102310. https://doi.org/10.1016/j.ijinfomgt.2021.102310
   Web of Science ®Google Scholar
• Perez-Vega, R., Kaartemo, V., Lages, C. R., Razavi, N. B., & Männistö, J. (2021). Reshaping the contexts of online customer engagement behavior via artificial intelligence: A conceptual framework. Journal of Business Research, 129, 902–910. https://doi.org/10.1016/j.jbusres.2020.11.002
   Web of Science ®Google Scholar
• Peter, J. P., & Olson, J. C. (2008). Consumer behavior and marketing strategy. McGraw-Hill/Irwin.
   Google Scholar
• Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
   PubMed Web of Science ®Google Scholar
• Prentice, C., & Loureiro, S. M. C. (2017). An asymmetrical approach to understanding configurations of customer loyalty in the airline industry. Journal of Retailing and Consumer Services, 38, 96–107. https://doi.org/10.1016/j.jretconser.2017.05.005
   Web of Science ®Google Scholar
• Raïes, K., Mühlbacher, H., & Gavard-Perret, M. L. (2015). Consumption community commitment: Newbies’ and longstanding members’ brand engagement and loyalty. Journal of Business Research, 68(12), 2634–2644. https://doi.org/10.1016/j.jbusres.2015.04.007
   Web of Science ®Google Scholar
• Ragin, C. C. (2008). Redesigning social inquiry: Fuzzy sets and beyond. University of Chicago Press.
   Google Scholar
• Ragin, C. C., & Fiss, P. C. (2008). Net effects analysis versus configurational analysis: An empirical demonstration. In C. C. Ragin (Ed.), Redesigning Social Inquiry: Set Relations in Social Research. Chapter 11 (pp. 190–212), Chicago, IL: University of Chicago Press.
   Google Scholar
• Rasoolimanesh, S. M., Ringle, C. M., Sarstedt, M., & Olya, H. (2021). The combined use of symmetric and asymmetric approaches: Partial least squares-structural equation modeling and fuzzy-set qualitative comparative analysis. International Journal of Contemporary Hospitality Management, 33(5), 1571–1592. https://doi.org/10.1108/IJCHM-10-2020-1164
   Web of Science ®Google Scholar
• Reichheld, F. (2006). The ultimate question. Driving good profits and true growth. Harvard Business School Press.
   Google Scholar
• Ren, S., Tsai, H. T., & Eisingerich, A. B. (2016). Case-based asymmetric modeling of firms with high versus low outcomes in implementing changes in direction. Journal of Business Research, 69(2), 500–507. https://doi.org/10.1016/j.jbusres.2015.05.007
   Web of Science ®Google Scholar
• Revfine. (2021). Ten reasons why every hotel needs a hotel chatbot. Retrieved July 27, 2021, from https://www.revfine.com/
   Google Scholar
• Rihoux, B., & Ragin, C. C. (2009). Configurational comparative methods: Qualitative comparative analysis (QCA) and related techniques. SAGE.
   Google Scholar
• Russo, I., Confente, I., Gligor, D. M., & Autry, C. W. (2016). To be or not to be (loyal): Is there a recipe for customer loyalty in the B2B context? Journal of Business Research, 69(2), 888–896. https://doi.org/10.1016/j.jbusres.2015.07.002
   Web of Science ®Google Scholar
• Sashi, C. M. (2012). Customer engagement, buyer-seller relationships, and social media. Management Decision, 50(2), 253–272. https://doi.org/10.1108/00251741211203551
   Web of Science ®Google Scholar
• Schmitt, P., Skiera, B., & Van den Bulte, C. (2011). Referral programs and customer value. Journal of Marketing, 75(1), 46–59. https://doi.org/10.1509/jm.75.1.46
   Web of Science ®Google Scholar
• Seny Kan, A. K., Adegbite, E., El Omari, S., & Abdellatif, M. (2016). On the use of qualitative comparative analysis in management. Journal of Business Research, 69(4), 1458–1463. https://doi.org/10.1016/j.jbusres.2015.10.125
   Web of Science ®Google Scholar
• Shawky, S., Kubacki, K., Dietrich, T., & Weaven, S. (2020). A dynamic framework for managing customer engagement on social media. Journal of Business Research, 121, 567–577. https://doi.org/10.1016/j.jbusres.2020.03.030
   Web of Science ®Google Scholar
• Skarmeas, D., Leonidou, C. N., & Saridakis, C. (2014). Examining the role of CSR skepticism using fuzzy-set qualitative comparative analysis. Journal of Business Research, 67(9), 1796–1805. https://doi.org/10.1016/j.jbusres.2013.12.010
   Web of Science ®Google Scholar
• So, K. K. F., King, C., Sparks, B. A., & Wang, Y. (2016). The role of customer engagement in building consumer loyalty to tourism brands. Journal of Travel Research, 55(1), 64–78. https://doi.org/10.1177/0047287514541008
   Web of Science ®Google Scholar
• Solomon, M., Bamossy, G., Askegaard, S., & Hogg, M. K. (2006). Consumer behaviour: A European perspective, 3rd ed. Prentice Hall.
   Google Scholar
• Statista. (2021). Use of chatbots among travel and hospitality companies worldwide 2020. Retrieved July 20, 2021, from https://www.statista.com/statistics/1231768/travel-hospitality-companies-using-chatbots-worldwide/
   Google Scholar
• Stokburger-Sauer, N., Ratneshwar, E., & Sen, S. (2012). Drivers of customer-brand identification. International Journal of Research in Marketing, 29(4), 406–418. https://doi.org/10.1016/j.ijresmar.2012.06.001
   Web of Science ®Google Scholar
• Swaminathan, V., Page, K. L., & Gürhan-Canli, Z. (2007). ‘My’ brand or ‘our’ brand: The effects of brand relationship dimensions and self-construal on brand evaluations. Journal of Consumer Research, 34(2), 248–259. https://doi.org/10.1086/518539
   Web of Science ®Google Scholar
• Wallace, E., Buil, I., & De Chernatony, L. (2012). Facebook friendship and brand advocacy. Journal of Brand Management, 20(2), 128–146. https://doi.org/10.1057/bm.2012.45
   Google Scholar
• Vallacher, R. R., & Wegner, D. M. (1985). A theory of action identification. Erlbaum.
   Google Scholar
• Vallacher, R. R., & Wegner, D. M. (2012). Action identification theory. In P. A. M. Van Lange, A. W. Kruglanski, & E. T. Higgins (Eds.), Handbook of theories of social psychology (pp. 327–348). Sage Publications Ltd. https://doi.org/10.4135/9781446249215.n17
   Google Scholar
• van Doorn, J., Lemon, K. N., Mittal, V., Nass, S., Pick, D., Pirner, P., & Verhoef, P. C. (2010). Customer engagement behavior: Theoretical foundations and research directions. Journal of Service Research, 13(3), 253–266. https://doi.org/10.1177/1094670510375599
   Web of Science ®Google Scholar
• Wilk, V., Harrigan, P., & Soutar, G. N. (2018). Navigating Online Brand Advocacy (OBA): An exploratory analysis. Journal of Marketing Theory and Practice, 26(1–2), 99–116. https://doi.org/10.1080/10696679.2017.1389246
   Web of Science ®Google Scholar
• Wilk, V., Soutar, G. N., & Harrigan, P. (2021). Online brand advocacy and brand loyalty: A reciprocal relationship? Asia Pacific Journal of Marketing and Logistics, 33(10), 1977–1993. https://doi.org/10.1108/APJML-05-2020-0303
   Web of Science ®Google Scholar
• Woodside, A. G. (2016). The good practices manifesto: Overcoming bad practices pervasive in current research in business. Journal of Business Research, 69(2), 365–381. https://doi.org/10.1016/j.jbusres.2015.09.008
   Web of Science ®Google Scholar
• Wu, C. W. (2016). Destination loyalty modeling of the global tourism. Journal of Business Research, 69(6), 2213–2219. https://doi.org/10.1016/j.jbusres.2015.12.032
   Web of Science ®Google Scholar