What Drives Experiential Loyalty Toward Smart Restaurants? The Case Study of KFC in Beijing

References

• Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. London, UK: Sage.
   Google Scholar
• Alghamdi, A., King, T., & Dennis, C. (2011). Gender perceptions towards internet banking loyalty: Empirical evidence. In Patterson, A., & Oakes, S. (Eds.), Proceedings of the academy of marketing conference 2011: Marketing field forever (pp. 1–18). Liverpool, UK: Academy of Marketing.
   Google Scholar
• Amin, M., Rezaei, S., & Abolghasemi, M. (2014). User satisfaction with mobile websites: The impact of perceived usefulness (PU), perceived ease of use (PEOU) and trust. Nankai Business Review International, 5 (3), 258–274. doi:10.1108/NBRI-01-2014-0005
   Google Scholar
• Anderson, E. W., & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms. Marketing Science, 12 (2), 125–143. doi:10.1287/mksc.12.2.125
   Google Scholar
• Anderson, H., & Jacobsen, P. N. (2000). Creating loyalty: Its strategic importance in your customer strategy. In S. A. Brown (Ed.), Customer relationship management (pp. 55–67). Ontario, Canada: John Wiley.
   Google Scholar
• Athanasopoulou, P. (2009). Relationship quality: A critical literature review and research agenda. European Journal of Marketing, 43 (5/6), 583–610. doi:10.1108/03090560910946945
   Google Scholar
• Baker, D. A., & Crompton, J. L. (2000). Quality, satisfaction and behavioral intentions. Annals of Tourism Research, 27 (3), 785–804. doi:10.1016/S0160-7383(99)00108-5
   Google Scholar
• Baloglu, S., & McCleary, K. W. (1999). A model of destination image formation. Annals of Tourism Research, 26 (4), 868–897. doi:10.1016/S0160-7383(99)00030-4
   Google Scholar
• Beyond Philosophy. (2013). What is customer loyalty: Understanding the true definition of customer loyalty. Retrieved December 12, 2016, from http://www.beyondphilosophy.com/customer-experience/customer-loyalty/
   Google Scholar
• Bhattacharya, D., & Saha, D. (2013). Consumer involvement profile incorporating the moderating effects of brand loyalty and brand trust. Asia Pacific Journal of Marketing & Management Review, 2 (2), 23–45.
   Google Scholar
• Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25 (3), 351–370. doi:10.2307/3250921
   Google Scholar
• Bloemer, J., & De Ruyter, K. (1998). On the relationship between store image, store satisfaction and store loyalty. European Journal of Marketing, 32 (5/6), 499–513. doi:10.1108/03090569810216118
   Google Scholar
• Bloemer, J. M., & Kasper, H. D. (1995). The complex relationship between consumer satisfaction and brand loyalty. Journal of Economic Psychology, 16 (2), 311–329. doi:10.1016/0167-4870(95)00007-B
   Google Scholar
• Boden, R. (2017). KFC uses facial recognition to offer menu recommendations in China. Retrieved January 28, 2017, from https://www.nfcworld.com/2017/01/03/349177/chinese-smart-restaurant-uses-facial-recognition-offer-customers-menu-recommendations/
   Google Scholar
• Bonn, M. A., Kim, W. G., Kang, S., & Cho, M. (2016). Purchasing wine online: The effects of social influence, perceived usefulness, perceived ease of use, and wine involvement. Journal of Hospitality Marketing & Management, 25 (7), 841–869. doi:10.1080/19368623.2016.1115382
   Google Scholar
• Boo, S. Y., & Busser, J. A. (2005). The hierarchical influence of visitor characteristics on tourism destination images. Journal of Travel & Tourism Marketing, 19 (4), 55–67. doi:10.1300/J073v19n04_05
   Google Scholar
• Brennan, L., & Mavondo, F. (2000). Involvement: An unfinished story? Paper presented at Proceedings of ANZMAC Visionary Marketing for the 21st Century: Facing the Challenge, Gold Coast, Australia.
   Google Scholar
• Bressolles, G., & Durrieu, F. (2011). Service quality, customer value and satisfaction relationship revisited for online wine websites. Paper presented at the 6th AWBR International Conference, Kedge Business School, Bordeaux, France.
   Google Scholar
• Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen, & J. S. Long (Eds.), Testing structural equation models (pp. 136–162). Newbury Park, CA: Sage.
   Google Scholar
• Carmines, E. G., & Mclver, J. P. (1981). Analyzing models with observable variables. In G. W. Bohrnstedt, & E. F. Borgatta (Eds.), Social measurement: Current issues (pp. 65–115). Beverly Hills, CA: Sage.
   Google Scholar
• Castañeda, J. A. (2011). Relationship between customer satisfaction and loyalty on the internet. Journal of Business and Psychology, 26 (3), 371–383. doi:10.1007/s10869-010-9196-z
   Google Scholar
• Chalil, R. D., & Dharmmesta, B. S. (2015). The role of consumer involvement as a moderating variable: The relationship between consumer satisfaction and corporate image on service loyalty. Journal of Asian Scientific Research, 5 (6), 303–319. doi:10.18488/journal.2
   Google Scholar
• Chan, J. K. L., & Baum, T. (2007). Ecotourists’ perception of ecotourism experience in lower Kinabatangan, Sabah, Malaysia. Journal of Sustainable Tourism, 15 (5), 574–590. doi:10.2167/jost679.0
   Google Scholar
• Chang, E., Burns, L. D., & Francis, S. K. (2004). Gender differences in the dimensional structure of apparel shopping satisfaction among Korean consumers: The role of hedonic shopping value. Clothing and Textiles Research Journal, 22 (4), 185–199. doi:10.1177/0887302X0402200404
   Google Scholar
• Chang, T. Y., & Horng, S. C. (2010). Conceptualizing and measuring experience quality: The customer’s perspective. The Service Industries Journal, 30 (14), 2401–2419. doi:10.1080/02642060802629919
   Google Scholar
• Chen, C. F., & Chen, F. S. (2010). Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists. Tourism Management, 31 (1), 29–35. doi:10.1016/j.tourman.2009.02.008
   Google Scholar
• Chen, C. F., & Tsai, D. (2007). How destination image and evaluative factors affect behavioral intentions. Tourism Management, 28 (4), 1115–1122. doi:10.1016/j.tourman.2006.07.007
   Google Scholar
• Chinomona, R. (2013). The influence of perceived ease of use and perceived usefulness on trust and intention to use mobile social software: Technology and innovation. African Journal for Physical Health Education, Recreation and Dance, 19 (2), 258–273.
   Google Scholar
• Chiu, C. M., Chang, C. C., Cheng, H. L., & Fang, Y. H. (2009). Determinants of customer repurchase intention in online shopping. Online Information Review, 33 (4), 761–784. doi:10.1108/14684520910985710
   Google Scholar
• Cho, Y. C., & Sagynov, E. (2015). Exploring factors that affect usefulness, ease of use, trust, and purchase intention in the online environment. International Journal of Management & Information Systems, 19 (1), 21–36.
   Google Scholar
• Clemes, M. D., Wu, H. C. J., Hu, B. D., & Gan, C. (2009). An empirical study of behavioral intentions in the Taiwan hotel industry. Innovative Marketing, 5(3), 30–50.
   Google Scholar
• Cronin, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76 (2), 193–218. doi:10.1016/S0022-4359(00)00028-2
   Google Scholar
• Cyr, D., Hassanein, K., Head, M., & Ivanov, A. (2007). The role of social presence in establishing loyalty in e-service environments. Interacting with Computers, 19 (1), 43–56. doi:10.1016/j.intcom.2006.07.010
   Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13 (3), 319–339. doi:10.2307/249008
   Google Scholar
• Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man-Machine Studies, 38 (3), 475–487. doi:10.1006/imms.1993.1022
   Google Scholar
• Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35 (8), 982–1003. doi:10.1287/mnsc.35.8.982
   Google Scholar
• De Rojas, C., & Camarero, C. (2008). Visitors’ experience, mood and satisfaction in a heritage context: Evidence from an interpretation center. Tourism Management, 29 (3), 525–537. doi:10.1016/j.tourman.2007.06.004
   Google Scholar
• Edvardsson, B., Enquist, B., & Johnston, R. (2005). Cocreating customer value through hyperreality in the prepurchase service experience. Journal of Service Research, 8 (2), 149–161. doi:10.1177/1094670505279729
   Google Scholar
• Emstell Technology Consulting. (2016). Smart restaurant and POS. Retrieved December 11, 2016, from http://emstell.com/emstell-education-DMS-Business-ERP-Solutions/Business-Solutions/Smart-Restaurant-and-POS
   Google Scholar
• Esch, F. R., Langner, T., Schmitt, B. H., & Geus, P. (2006). Are brands forever? How brand knowledge and relationships affect current and future purchases. Journal of Product & Brand Management, 15 (2), 98–105. doi:10.1108/10610420610658938
   Google Scholar
• Etherington, D. (2016). Baidu and KFC’s new smart restaurant suggests what to order based on your face. Retrieved March 15, 2016, from https://techcrunch.com/2016/12/23/baidu-and-kfcs-new-smart-restaurant-suggests-what-to-order-based-on-your-face/
   Google Scholar
• Evans, J. R., & Lindsay, W. M. (1996). The management and control of quality (3rd ed.). St. Paul, MN: West Publishing Company.
   Google Scholar
• Fatima, J. K., & Razzaque, M. A. (2010). Service quality, customer involvement and customer satisfaction: A case study of retail banking in Bangladesh. Journal of Business and Policy Research, 7 (2), 135–146.
   Google Scholar
• Fick, G. R., & Ritchie, J. R. B. (1991). Measuring service quality in the travel and tourism industry. Journal of Travel Research, 30 (2), 2–9. doi:10.1177/004728759103000201
   Google Scholar
• Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesle.
   Google Scholar
• Fornell, C. (1992). A national customer satisfaction barometer: The Swedish experience. Journal of Marketing, 56 (1), 6–21. doi:10.2307/1252129
   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. doi:10.2307/3151312
   Google Scholar
• Ganiyu, R. A., Uche, I. I., & Adeoti, O. E. (2012). Is customer satisfaction an indicator of customer loyalty? Australian Journal of Business and Management Research, 2 (7), 14–20.
   Google Scholar
• Gefen, D., & Straub, D. W. (1997). Gender differences in the perception and use of e-mail: An extension to the technology acceptance model. MIS Quarterly, 21 (4), 389–400. doi:10.2307/249720
   Google Scholar
• Ghosh, T., Bhoir, S., Patel, P., Mehta, N., & Mhatre, A. (2015). Smart restaurant. International Journal of Industrial Electronics and Electronical Engineering, 3 (11), 37–57.
   Google Scholar
• Gilbert, D., & Hewlett, J. (2003). A method for the assessment of relative brand strength: A UK tour operator example. The Service Industries Journal, 23 (2), 166–182. doi:10.1080/02642060412331300942
   Google Scholar
• Gottlieb, U. R., Brown, M. R., & Drennan, J. (2011). The influence of service quality and trade show effectiveness on post-show purchase intention. European Journal of Marketing, 45 (11/12), 1642–1659. doi:10.1108/03090561111167324
   Google Scholar
• Grönroos, C. (1984). A service quality model and its marketing implications. European Journal of Marketing, 18 (4), 36–44. doi:10.1108/EUM0000000004784
   Google Scholar
• Guardian News and Media Limited. (2017). KFC China is using facial recognition tech to serve customers - but are they buying it? Retrieved March 15, 2017, from https://www.theguardian.com/technology/2017/jan/11/china-beijing-first-smart-restaurant-kfc-facial-recognition
   Google Scholar
• Haghighi, M., Dorosti, A., Rahnama, A., & Hoseinpour, A. (2012). Evaluation of factors affecting customer loyalty in the restaurant industry. African Journal of Business Management, 6 (14), 5039–5046.
   Google Scholar
• Hair, J. F. J., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective (7th ed.). Upper Saddle River, NJ: Pearson Education.
   Google Scholar
• Harris, L. C., & Goode, M. M. (2004). The four levels of loyalty and the pivotal role of trust: A study of online service dynamics. Journal of Retailing, 80 (2), 139–158. doi:10.1016/j.jretai.2004.04.002
   Google Scholar
• Hausman, A. (2011). Attribute satisfaction and experiential involvement in evaluations of live musical performance: Theory and managerial implications for services. Journal of Retailing and Consumer Services, 18 (3), 210–217. doi:10.1016/j.jretconser.2010.11.001
   Google Scholar
• Hirschman, E. C. (1983). Predictors of self-projection, fantasy fulfillment, and escapism. Journal of Social Psychology, 120 (1), 63–76. doi:10.1080/00224545.1983.9712011
   Google Scholar
• Holbrook, M. B. (1994). The nature of customer value: An axiology of services in the consumption experience. In R. T. Rust, & R. L. Oliver (Eds.), Service quality: New directions in theory and practice (pp. 21–71). Newbury Park, CA: Sage.
   Google Scholar
• Holbrook, M. B., & Hirschman, E. C. (1982). The experiential aspects of consumption: Consumer fantasies, feelings, and fun. Journal of Consumer Research, 9 (2), 132–140. doi:10.1086/jcr.1982.9.issue-2
   Google Scholar
• Homburg, C., & Giering, A. (2001). Personal characteristics as moderators of the relationship between customer satisfaction and loyalty—An empirical analysis. Psychology & Marketing, 18 (1), 43–66. doi:10.1002/1520-6793(200101)18:1<43::AID-MAR3>3.0.CO;2-I
   Google Scholar
• Hopson, B., Lugary, J., Motgatroid, S., Ripley, T., Scaly, M., & Simpson, D. (2002). Service management of customer orientation culture. Tehran, Iran: Modiran Publication.
   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: A Multidisciplinary Journal, 6 (1), 1–55. doi:10.1080/10705519909540118
   Google Scholar
• Huang, Y. Y., & Kaewmee, K. (2011). The impact of service quality and service innovation on technology acceptance model. Paper presented at International Conference on Business and Information, Bangkok, Thailand.
   Google Scholar
• Jahangir, N., & Begum, N. (2008). The role of perceived usefulness, perceived ease of use, security and privacy, and customer attitude to engender customer adaptation in the context of electronic banking. African Journal of Business Management, 2 (2), 32–40.
   Google Scholar
• Jakhete, M. D., & Mankar, P. C. (2015). Implementation of smart restaurant with e-menu card. International Journal of Computer Applications, 119 (21), 23–27. doi:10.5120/21361-4374
   Google Scholar
• Jantan, M., Ramayah, T., & Chin, W. W. (2001). Personal computer acceptance by small and medium companies evidence from Malaysia. Jurnal Manajemen & Bisnis, 3 (1), 1–14.
   Google Scholar
• Jeon, M. S., Park, S. J., Jang, H. J., Choi, Y. S., & Hong, W. S. (2015). Evaluation of sanitation knowledge and practices of restaurant kitchen staff in South Korea. British Food Journal, 117 (1), 62–77. doi:10.1108/BFJ-08-2013-0209
   Google Scholar
• Jun, M., Yang, Z., & Kim, D. (2004). Customers’ perceptions of online retailing service quality and their satisfaction. International Journal of Quality & Reliability Management, 21 (8), 817–840. doi:10.1108/02656710410551728
   Google Scholar
• Kandampully, J., & Suhartanto, D. (2003). The role of customer satisfaction and image in gaining customer loyalty in the hotel industry. Journal of Hospitality Marketing & Management, 10 (1/2), 3–25. doi:10.1300/J150v10n01_02
   Google Scholar
• Kao, Y. F., Huang, L. S., & Wu, C. H. (2008). Effects of theatrical elements on experiential quality and loyalty intentions for theme parks. Asia Pacific Journal of Tourism Research, 13 (2), 163–174. doi:10.1080/10941660802048480
   Google Scholar
• Kao, Y. F., Huang, L. S., & Yang, M. H. (2007). Effects of experiential elements on experiential satisfaction and loyalty intentions: A case study of the super basketball league in Taiwan. International Journal of Revenue Management, 1 (1), 79–96. doi:10.1504/IJRM.2007.011195
   Google Scholar
• Kim, H. J. (2011). Service orientation, service quality, customer satisfaction, and customer loyalty: Testing a structural model. Journal of Hospitality Marketing & Management, 20 (6), 619–637. doi:10.1080/19368623.2011.577698
   Google Scholar
• Kim, W., & Han, H. (2008). Determinants of restaurant customers’ loyalty intentions: A mediating effect of relationship quality. Journal of Quality Assurance in Hospitality & Tourism, 9 (3), 219–239. doi:10.1080/15280080802412727
   Google Scholar
• Kim, Y., & Lee, H. S. (2014). Quality, perceived usefulness, user satisfaction, and intention to use: An empirical study of ubiquitous personal robot service. Asian Social Science, 10 (11), 1–16. doi:10.5539/ass.v10n11p1
   Google Scholar
• Kincaid, J. (2003). Customer relationship management: Getting it right. London, UK: Prentice Hall.
   Google Scholar
• Kline, R. B. (1998). Principles and practice of structural equation modeling. New York, NY: Guilford Press.
   Google Scholar
• Kotler, P., & Keller, K. (2006). Marketing management (12th ed.). New Jersey, NJ: Prentice Hall.
   Google Scholar
• Kozak, M. (2003). Measuring tourist satisfaction with multiple destination attributes. Tourism Analysis, 7 (3/4), 229–240. doi:10.3727/108354203108750076
   Google Scholar
• Ladhari, R., Brun, I., & Morales, M. (2007). Determinants of dining satisfaction and post-dining behavioral intentions. International Journal of Hospitality Management, 27 (4), 563–573. doi:10.1016/j.ijhm.2007.07.025
   Google Scholar
• Lee, I., & Arcodia, C. (2011). The role of regional food festivals for destination branding. International Journal of Tourism Research, 13 (4), 355–367. doi:10.1002/jtr.852
   Google Scholar
• Lewis, R. C., & Booms, B. H. (1983). The marketing aspects of service quality. In L. L. Berry, G. L. Shostack, & G. Upah (Eds.), Emerging perspectives on services marketing (pp. 99–107). Chicago, IL: American Marketing Association.
   Google Scholar
• Lichtenstein, D. R., Netemeyer, R. G., & Burton, S. (1990). Distinguishing coupon proneness from value consciousness: An acquisition-transaction utility theory perspective. Journal of Marketing, 54 (3), 54–67. doi:10.2307/1251816
   Google Scholar
• Mano, H., & Oliver, R. L. (1993). Assessing the dimensionality and structure of the consumption experience: Evaluation, feeling, and satisfaction. Journal of Consumer Research, 20 (3), 451–466. doi:10.1086/jcr.1993.20.issue-3
   Google Scholar
• Mathwick, C., Malhotra, N. K., & Rigdon, E. (2002). The effect of dynamic retail experiences on experiential perceptions of value: An internet and catalog comparison. Journal of Retailing, 78 (1), 51–60. doi:10.1016/S0022-4359(01)00066-5
   Google Scholar
• McColl-Kennedy, J. R., & Fetter, R. E.Jr., (2001). An empirical examination of the involvement to external search relationship in services marketing. Journal of Services Marketing, 15 (2), 82–98. doi:10.1108/08876040110381337
   Google Scholar
• Mizerski, R., Pucely, M. J., Perrewe, P., & Baldwin, L. (1988). An experimental evaluation of music involvement measures and their relationship with consumer purchasing behavior. Popular Music & Society, 12 (3), 79–96. doi:10.1080/03007768808591325
   Google Scholar
• Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38 (4), 217–230. doi:10.1016/S0378-7206(00)00061-6
   Google Scholar
• Morosan, C. (2011). Customers’ adoption of biometric systems in restaurants: An extension of the technology acceptance model. Journal of Hospitality Marketing & Management, 20 (6), 661–690. doi:10.1080/19368623.2011.570645
   Google Scholar
• Morosan, C. (2014). Toward an integrated model of adoption of mobile phones for purchasing ancillary services in air travel. International Journal of Contemporary Hospitality Management, 26 (2), 246–271. doi:10.1108/IJCHM-11-2012-0221
   Google Scholar
• Ohk, K., Park, S. B., & Hong, J. W. (2015). The influence of perceived usefulness, perceived ease of use, interactivity, and ease of navigation on satisfaction in mobile application. Advanced Science and Technology Letters, 84, 88–92.
   Google Scholar
• Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17 (6), 460–469. doi:10.2307/3150499
   Google Scholar
• Oliver, R. L., & Swan, J. E. (1989a). Consumer perceptions of interpersonal equity and satisfaction in transactions: A field survey approach. Journal of Marketing, 5 (2), 21–35. doi:10.2307/1251411
   Google Scholar
• Oliver, R. L., & Swan, J. E. (1989b). Equity and disconfirmation perceptions as influences on merchant and product satisfaction. Journal of Consumer Research, 16 (3), 372–383. doi:10.1086/jcr.1989.16.issue-3
   Google Scholar
• Olsen, S. O. (2007). Repurchase loyalty: The role of involvement and satisfaction. Psychology & Marketing, 24 (4), 315–341. doi:10.1002/(ISSN)1520-6793
   Google Scholar
• Otto, J. E., & Ritchie, J. R. B. (1996). The service experience in tourism. Tourism Management, 17 (3), 165–174. doi:10.1016/0261-5177(96)00003-9
   Google Scholar
• Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1991). Refinement and reassessment of the SERVQUAL scale. Journal of Retailing, 67 (4), 420–450.
   Google Scholar
• Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49 (4), 41–50. doi:10.2307/1251430
   Google Scholar
• Park, E., Baek, S., Ohm, J., & Chang, H. J. (2014). Determinants of player acceptance of mobile social network games: An application of extended technology acceptance model. Telematics and Informatics, 31 (1), 3–15. doi:10.1016/j.tele.2013.07.001
   Google Scholar
• Park, S. K., Won, G. H., & Ham, H. S. (2005). An effect of internet shopping mall perceived ease of use and usefulness on trust, satisfaction and loyalty. Korean Management Science Review, 22 (1), 83–101.
   Google Scholar
• Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educational Technology & Society, 12 (3), 150–162.
   Google Scholar
• Petrick, J. F. (2004). Are loyal visitors desired visitors? Tourism Management, 25 (4), 463–470. doi:10.1016/S0261-5177(03)00116-X
   Google Scholar
• Philemon, J. R. (2015). Assessment of tourists perceptions and satisfaction of Tanzania destination. European Scientific Journal, 11 (13), 107–119.
   Google Scholar
• Pine, B. J., & Gilmore, J. H. (1999). The experience economy: Work is theatre and every business a stage. Boston, MA: Harvard Business School Press.
   Google Scholar
• Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88 (5), 879–903. doi:10.1037/0021-9010.88.5.879
   Google Scholar
• Prebensen, N. K., Woo, E., Chen, J. S., & Uysal, M. (2012). Motivation and involvement as antecedents of the perceived value of the destination experience. Journal of Travel Research, 52 (2), 253–264. doi:10.1177/0047287512461181
   Google Scholar
• Pucely, M., Mizerski, J., & Perrewe, P. (1988). A comparison of involvement measures for the purchase and consumption of pre-recorded music. In J. Micheal (Ed), Advances in Consumer Research (pp. 37–42). Provo, UT: Association for Consumer Research.
   Google Scholar
• Puzakova, M., Kwak, H., & Rocereto, J. F. (2013a). When humanizing brands goes wrong: The detrimental effect of brand anthropomorphization amid product wrongdoings. Journal of Marketing, 77 (3), 81–100. doi:10.1509/jm.11.0510
   Google Scholar
• Puzakova, M., Kwak, H., & Taylor, C. R. (2013b). The role of geography of self in “filling in” brand personality traits: Consumer inference of unobservable attributes. Journal of Advertising, 42 (1), 16–29. doi:10.1080/00913367.2012.748632
   Google Scholar
• Ramayah, T., & Ignatius, J. (2005). Impact of perceived usefulness, perceived ease of use and perceived enjoyment on intention to shop online. ICFAI Journal of Systems Management, 3 (3), 36–51.
   Google Scholar
• Ramseook-Munhurrun, P., Lukea-Bhiwajee, S. D., & Naidoo, P. (2010). Service quality in the public service. International Journal of Management and Marketing Research, 3 (1), 37–50.
   Google Scholar
• Reichheld, F. F., & Sasser, W. E. (1990). Zero defections: Quality comes to services. Harvard Business Review, 68 (5), 2–9.
   Google Scholar
• Reichheld, F. F., & Schefter, P. (2000). E-loyalty: Your secret weapon on the Web. Harvard Business Review, 78 (4), 105–113.
   Google Scholar
• Schofield, P., & Thompson, K. (2007). Visitor motivation, satisfaction and behavioral intention: The 2005 Naadam Festival, Ulaanbaatar. International Journal of Tourism Research, 9 (5), 329–344. doi:10.1002/jtr.638
   Google Scholar
• Sekaran, U. (2003). Research methods for business: A skill building approach (4th ed.). New York, NY: Wiley.
   Google Scholar
• Shaffer, T. R., & Sherrell, D. L. (1997). Consumer satisfaction with health-care services: The influence of involvement. Psychology & Marketing, 14 (3), 261–285. doi:10.1002/(ISSN)1520-6793
   Google Scholar
• Shah, H. J., & Attiq, S. (2016). Impact of technology quality, perceived ease of use and perceived usefulness in the formation of consumer’s satisfaction in the context of e-learning. Abasyn University Journal of Social Sciences, 9 (1), 124–140.
   Google Scholar
• Sivadas, E., & Baker-Prewitt, J. L. (2000). An examination of the relationship between service quality, customer satisfaction, and store loyalty. International Journal of Retail & Distribution Management, 28 (2), 73–82. doi:10.1108/09590550010315223
   Google Scholar
• SJB Research Ltd. (2017). KFC uses facial recognition to offer menu recommendations in China. Retrieved March 14, 2017, from https://www.nfcworld.com/2017/01/03/349177/chinese-smart-restaurant-uses-facial-recognition-offer-customers-menu-recommendations/
   Google Scholar
• Smart Restaurants. (2017). Smart restaurants app. Retrieved March 15, 2017, from http://www.smart-restaurants.co.uk/
   Google Scholar
• Sohn, H. K., Lee, T. J., & Yoon, Y. S. (2016). Relationship between perceived risk, evaluation, satisfaction, and behavioral intention: A case of local-festival visitors. Journal of Travel & Tourism Marketing, 33 (1), 28–45. doi:10.1080/10548408.2015.1024912
   Google Scholar
• Stoel, L., & Lee, K. H. (2003). Modeling the effect of experience on student acceptance of Web-based courseware. Internet Research, 13 (5), 364–374. doi:10.1108/10662240310501649
   Google Scholar
• Storbacka, K., Strandvik, T., & Grönroos, C. (1994). Managing customer relationships for profit: The dynamics of relationship quality. International Journal of Service Industry Management, 5 (5), 21–38. doi:10.1108/09564239410074358
   Google Scholar
• Tarus, D. K., & Rabach, N. (2013). Determinants of customer loyalty in Kenya: Does corporate image play a moderating role? The TQM Journal, 25 (5), 473–491. doi:10.1108/TQM-11-2012-0102
   Google Scholar
• Thompson, C. J. (1997). Buy Brown’s book! a fully impartial commentary on postmodern marketing. European Journal of Marketing, 31 (3/4), 254–263. doi:10.1108/03090569710162353
   Google Scholar
• Tojib, D., & Tsarenko, Y. (2012). Post-adoption modeling of advanced mobile service use. Journal of Business Research, 65 (7), 922–928. doi:10.1016/j.jbusres.2011.05.006
   Google Scholar
• Tsai, M. C., & Cheng, C. C. (2013). Consumers’ intention to use mobile-menu and destination clusters. International Journal of Mobile Communications, 11 (1), 36–55. doi:10.1504/IJMC.2013.050994
   Google Scholar
• Tu, C. C., Fang, K., & Lin, C. Y. (2012). Perceived ease of use, trust, and satisfaction as determinants of loyalty in e-auction marketplace. Journal of Computers, 7 (3), 645–652. doi:10.4304/jcp.7.3.645-652
   Google Scholar
• Veloutsou, C. (2015). Brand evaluation, satisfaction and trust as predictors of brand loyalty: The mediator-moderator effect of brand relationships. Journal of Consumer Marketing, 32 (6), 405–421. doi:10.1108/JCM-02-2014-0878
   Google Scholar
• Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46 (2), 186–204. doi:10.1287/mnsc.46.2.186.11926
   Google Scholar
• Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: He case for an augmented technology acceptance model. Information & Management, 41 (3), 747–762. doi:10.1016/j.im.2003.08.011
   Google Scholar
• Westbrook, R. A., & Oliver, R. L. (1991). The dimensionality of consumption emotion patterns and consumer satisfaction. Journal of Consumer Research, 18 (1), 84–91. doi:10.1086/jcr.1991.18.issue-1
   Google Scholar
• Wong, J., Wu, H. C., & Cheng, C. C. (2015). An empirical analysis of synthesizing the effects of festival quality, emotion, festival image and festival satisfaction on festival loyalty: A case study of Macau Food Festival. International Journal of Tourism Research, 17(6), 521–536.
   Google Scholar
• Wu, H. C. (2013). An empirical study of the effects of service quality, perceived value, corporate image and customer satisfaction on behavioral intentions in the Taiwan quick service restaurant industry. Journal of Quality Assurance in Hospitality & Tourism, 14(4), 364–390.
   Google Scholar
• Wu, H. C. (2017). What drives experiential loyalty? A case study of Starbucks coffee chain in Taiwan. British Food Journal, 119(3), 468–496. doi:10.1108/BFJ-08-2016-0349
   Google Scholar
• Wu, H. C., & Ai, C. H. (2016). Synthesizing the effects of experiential quality, excitement, equity, experiential satisfaction on experiential loyalty for the golf industry: The case of Hainan Island. Journal of Hospitality and Tourism Management, 29, 41–59. doi:10.1016/j.jhtm.2016.05.005
   Google Scholar
• Wu, H. C., Ai, C. H., & Cheng, C. C. (2016a). Synthesizing the effects of green experiential quality, green equity, green image and green experiential satisfaction on green switching intention. International Journal of Contemporary Hospitality Management, 28 (9), 2080–2107. doi:10.1108/IJCHM-03-2015-0163
   Google Scholar
• Wu, H. C., & Cheng, C. C. (2013). A hierarchical model of service quality in the airline industry. Journal of Hospitality and Tourism Management, 20, 13–22.
   Google Scholar
• Wu, H. C., Cheng, C. C., & Ai, C. H. (2016b). A study of exhibition service quality, perceived value, emotion, satisfaction and behavioral intentions. Event Management, 20(4), 565–591.
   Google Scholar
• Wu, H. C., Cheng, C. C., & Ai, C. H. (2017a). A study of experiential quality, equity, happiness, rural image, experiential satisfaction and behavioral intentions for the rural tourism industry in China. International Journal of Hospitality & Tourism Administration. Advance online publication. doi:10.1080/15256480.2017.1289138
   Google Scholar
• Wu, H. C., Cheng, C. C., & Hong, W. (2017b). An empirical analysis of green convention attendee’ switching intentions. Journal of Convention & Event Tourism. Advance online publication. doi:10.1080/15470148.2017.1296393
   Google Scholar
• Wu, H. C., Li, M., & Li, T. (2014). A study of experiential quality, experiential value, experiential satisfaction, theme park image, and revisit intention. Journal of Hospitality & Tourism Research. Advance online publication.
   Google Scholar
• Wu, H. C., & Li, T. (2014). A study of experiential quality, perceived value, heritage image, experiential satisfaction, and behavioral intentions for heritage tourists. Journal of Hospitality & Tourism Research. Advance online publication. doi:10.1177/1096348014525638
   Google Scholar
• Wu, H. C., Li, T., & Li, M. Y. (2016c). A study of behavioral intentions, patient satisfaction, perceived value, patient trust and experiential quality for medical tourists. Journal of Quality Assurance in Hospitality & Tourism, 17 (2), 114–150. doi:10.1080/1528008X.2015.1042621
   Google Scholar
• Wu, H. C., & Mohi, Z. (2015). Assessment of service quality in the fast food restaurant. Journal of Foodservice Business Research, 18(4), 358–388.
   Google Scholar
• Xu, J. B., & Chan, A. (2010). A conceptual framework of hotel experience and customer-based brand equity: Some research questions and implications. International Journal of Contemporary Hospitality Management, 22 (2), 174–193. doi:10.1108/09596111011018179
   Google Scholar
• Yang, F. X. (2017). Effects of restaurant satisfaction and knowledge sharing motivation on eWOM intentions: The moderating role of technology acceptance factors. Journal of Hospitality & Tourism Research, 41 (1), 93–127. doi:10.1177/1096348013515918
   Google Scholar
• Yong Wee, S., Siong Hoe, L., Kung Keat, T., Check Yee, L., & Parumo, S. (2011). Prediction of user acceptance and adoption of smart phone for learning with technology acceptance model. Journal of Applied Sciences, 10 (20), 2395–2402.
   Google Scholar
• Yoon, H. S., & Occeña, L. U. I. S. (2014). Impacts of customers’ perceptions on internet banking use with a smart phone. Journal of Computer Information Systems, 54 (3), 1–9. doi:10.1080/08874417.2014.11645699
   Google Scholar
• Yoon, Y. S., Lee, J. S., & Lee, C. K. (2010). Measuring festival quality and value affecting visitors’ satisfaction and loyalty using a structural approach. International Journal of Hospitality Management, 29 (2), 335–342. doi:10.1016/j.ijhm.2009.10.002
   Google Scholar
• Zeithaml, V. A., Parasuraman, A., & Berry, L. L. (1990). Delivering quality service. New York, NY: The Free Press.
   Google Scholar
• Zikmund, W. G. (2003). Business research methods (7th ed.). Mason, OH: Thomson South-Western.
   Google Scholar