Travellers’ loyalty toward Airbnb: the moderating effect of relative attractiveness of the reward program

References

• Agostini, L., Bigliardi, B., Filippelli, S., & Galati, F. (2021). Seller reputation, distribution and intention to purchase refurbished products. Journal of Cleaner Production, 316, 128296. https://doi.org/10.1016/j.jclepro.2021.128296
   Web of Science ®Google Scholar
• Ahmed, S., Al Asheq, A., Ahmed, E., Chowdhury, U. Y., Sufi, T., & Mostofa, M. G. (2022). The intricate relationships of consumers’ loyalty and their perceptions of service quality, price and satisfaction in restaurant service. The TQM Journal, 1–23. https://doi.org/10.1108/TQM-06-2021-1058
   Google Scholar
• Airbnb. (2022). About us – Airbnb newsroom. Retrieved April 5, 2022, from https://news.airbnb.com/about-us/
   Google Scholar
• Amin, D., Mahomed, A. S. B., Ab Aziz, Y. B., & Hashim, H. B. (2021). Examining the impact of visual presentations and online reviews on hotel booking intentions. Tourism and Hospitality Research, 21(4), 402–417. https://doi.org/10.1177/14673584211021900
   Web of Science ®Google Scholar
• Bolton, R. N., Kannan, P. K., & Bramlett, M. D. (2000). Implications of loyalty program membership and service experiences for customer retention and value. Journal of the Academy of Marketing Science, 28(1), 95–108. https://doi.org/10.1177/0092070300281009
   Web of Science ®Google Scholar
• Brynjolfsson, E., Hu, Y., & Smith, M. D. (2003). Consumer surplus in the digital economy: Estimating the value of increased product variety at online booksellers. Management Science, 49(11), 1580–1596. https://doi.org/10.1287/mnsc.49.11.1580.20580
   Web of Science ®Google Scholar
• Casaló, L., Flavián, C., & Guinalíu, M. (2008). The role of perceived usability, reputation, satisfaction and consumer familiarity on the website loyalty formation process. Computers in Human Behavior, 24(2), 325–345. https://doi.org/10.1016/j.chb.2007.01.017
   Web of Science ®Google Scholar
• Chen, Y.-L., Chang, C.-L., & Sung, A.-Q. (2021). Predicting eWOM’s influence on purchase intention based on helpfulness, credibility, information quality and professionalism. Sustainability, 13(13), 7486. https://doi.org/10.3390/su13137486
   Web of Science ®Google Scholar
• Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009). Credibility of electronic word-of-mouth: Informational and normative determinants of on-line consumer recommendations. International Journal of Electronic Commerce, 13(4), 9–38. https://doi.org/10.2753/JEC1086-4415130402
   Web of Science ®Google Scholar
• Chiang, C.-F. (2018). Influences of price, service convenience, and social servicescape on post-purchase process of capsule hotels. Asia Pacific Journal of Tourism Research, 23(4), 373–384. https://doi.org/10.1080/10941665.2018.1444649
   Web of Science ®Google Scholar
• Chin, W. W. (2010). How to write up and report PLS analyses. In V. E. Vinzi & W. W. Chin (Eds.), Handbook of partial least squares: Concepts, methods and application (pp. 655–690). Springer.
   Google Scholar
• Dalir, S., Mahamadaminov, A., & Olya, H. G. T. (2021). Airbnb and taxation: Developing a seasonal tax system. Tourism Economics, 27(2), 365–378. https://doi.org/10.1177/1354816620904894
   Web of Science ®Google Scholar
• Davis, A., & Khazanchi, D. (2008). An empirical study of online word of mouth as a predictor for multi-product category e-commerce sales. Electronic Markets, 18(2), 130–141. https://doi.org/10.1080/10196780802044776
   Google Scholar
• Ding, K., Choo, W. C., Ng, K. Y., Ng, S. I., & Song, P. (2021). Exploring sources of satisfaction and dissatisfaction in Airbnb accommodation using unsupervised and supervised topic modeling. Frontiers in Psychology, 12, 659481. https://doi.org/10.3389/fpsyg.2021.659481
   PubMed Web of Science ®Google Scholar
• Erkan, I., & Evans, C. (2016). The influence of eWOM in social media on consumers’ purchase intentions: An extended approach to information adoption. Computers in Human Behavior, 61, 47–55. https://doi.org/10.1016/j.chb.2016.03.003
   Web of Science ®Google Scholar
• Ert, E., & Fleischer, A. (2019). The evolution of trust in Airbnb: A case of home rental. Annals of Tourism Research, 75, 279–287. https://doi.org/10.1016/j.annals.2019.01.004
   Web of Science ®Google Scholar
• Farmaki, A., & Kladou, S. (2020). Why do Airbnb hosts discriminate? Examining the sources and manifestations of discrimination in host practice. Journal of Hospitality and Tourism Management, 42, 181–189. https://doi.org/10.1016/j.jhtm.2020.01.005
   Web of Science ®Google Scholar
• Filieri, R. (2015). What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM. Journal of Business Research, 68(6), 1261–1270. https://doi.org/10.1016/j.jbusres.2014.11.006
   Web of Science ®Google Scholar
• Foroughi, B., Arjuna, N., Iranmanesh, M., Kumar, K. M., Tseng, M.-L., & Leung, N. (2022). Determinants of hotel guests’ pro-environmental behaviour: Past behaviour as moderator. International Journal of Hospitality Management, 102, 103167. https://doi.org/10.1016/j.ijhm.2022.103167
   Web of Science ®Google Scholar
• Fradkin, A., Grewal, E., & Holtz, D. (2018). The determinants of online review informativeness: Evidence from field experiments on Airbnb. SSRN Electronic Journal, 1–53. https://doi.org/10.1108/INTR-01-2020-0031
   Google Scholar
• Fu, S., Cheng, X., Bao, Y., Bilgihan, A., & Okumus, F. (2021). Staying in a hotel or peer-to-peer accommodation sharing? A discrete choice experiment with online reviews and discount strategies. Internet Research, 31(2), 654–676. https://doi.org/10.1108/INTR-01-2020-0031
   Web of Science ®Google Scholar
• Griffis, S. E., Rao, S., Goldsby, T. J., & Niranjan, T. T. (2012). The customer consequences of returns in online retailing: An empirical analysis. Journal of Operations Management, 30(4), 282–294. https://doi.org/10.1016/j.jom.2012.02.002
   Web of Science ®Google Scholar
• Han, S., & Hyun, S. S (2015). Customer retention in the medical tourism industry: Impact of quality, satisfaction, trust, and price reasonableness. Tourism Management, 46, 20–29.
   Web of Science ®Google Scholar
• Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
   Google Scholar
• Hamari, J., Sjöklint, M., & Ukkonen, A. (2016). The sharing economy: Why people participate in collaborative consumption. Journal of the Association for Information Science and Technology, 67(9), 2047–2059. https://doi.org/10.1002/asi.23552
   Web of Science ®Google Scholar
• Harman, H. H. (1976). Modern factor analysis. University of Chicago press.
   Google Scholar
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
   Web of Science ®Google Scholar
• Hu, M., Rabinovich, E., & Hou, H. (2015). Customers complaints in online shopping: The role of signal credibility. Journal of Electronic Commerce Research, 16(2), 95–108.
   Web of Science ®Google Scholar
• Hu, S., Huang, H. H., Te, C., & Chen, P. T. (2010). Do reward programs truly build loyalty for lodging industry? International Journal of Hospitality Management, 29(1), 128–135. https://doi.org/10.1016/j.ijhm.2009.07.002
   Web of Science ®Google Scholar
• Huertas, A., Ferrer-Rosell, B., Marine-Roig, E., & Cristobal-Fransi, E. (2021). Treatment of the Airbnb controversy by the press. International Journal of Hospitality Management, 95, 102762. https://doi.org/10.1016/j.ijhm.2020.102762
   Web of Science ®Google Scholar
• Hufnagel, G., Schwaiger, M., & Weritz, L. (2022). Seeking the perfect price: Consumer responses to personalized price discrimination in e-commerce. Journal of Business Research, 143, 346–365. https://doi.org/10.1016/j.jbusres.2021.10.002
   Web of Science ®Google Scholar
• Hur, K., Kim, T. T., Karatepe, O. M., & Lee, G. (2017). An exploration of the factors influencing social media continuance usage and information sharing intentions among Korean travellers. Tourism Management, 63, 170–178. https://doi.org/10.1016/j.tourman.2017.06.013
   Web of Science ®Google Scholar
• Ju, Y., Back, K.-J., Choi, Y., & Lee, J.-S. (2019). Exploring Airbnb service quality attributes and their asymmetric effects on customer satisfaction. International Journal of Hospitality Management, 77, 342–352. https://doi.org/10.1016/j.ijhm.2018.07.014
   Web of Science ®Google Scholar
• Kim, D., Park, S.-P., & Yi, S. (2021). Relevant and rich interactivity under uncertainty: Guest reviews, host responses, and guest purchase intention on Airbnb. Telematics and Informatics, 65, 101708. https://doi.org/10.1016/j.tele.2021.101708
   Web of Science ®Google Scholar
• Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). The Guilford Press.
   Google Scholar
• Kock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7), 546–580. https://doi.org/10.17705/1jais.00302
   Web of Science ®Google Scholar
• Ladhari, R., & Leclerc, A. (2013). Building loyalty with online financial services customers: Is there a gender difference? Journal of Retailing and Consumer Services, 20(6), 560–569. https://doi.org/10.1016/j.jretconser.2013.07.005
   Google Scholar
• Lalicic, L., & Weismayer, C. (2018). A model of tourists’ loyalty: The case of Airbnb. Journal of Hospitality and Tourism Technology, 9(1), 80–93. https://doi.org/10.1108/JHTT-02-2017-0020
   Web of Science ®Google Scholar
• Lee, S., & Kim, D.-Y. (2018). Brand personality of Airbnb: Application of user involvement and gender differences. Journal of Travel & Tourism Marketing, 35(1), 32–45. https://doi.org/10.1080/10548408.2017.1284030
   Web of Science ®Google Scholar
• Lee, S. H., & Deale, C. (2021). Consumers’ perceptions of risks associated with the use of Airbnb before and during the COVID-19 pandemic. International Hospitality Review, 35(2), 225–239. https://doi.org/10.1108/IHR-09-2020-0056
   Google Scholar
• Li, Y. (2014). The impact of disposition to privacy, website reputation and website familiarity on information privacy concerns. Decision Support Systems, 57, 343–354. https://doi.org/10.1016/j.dss.2013.09.018
   Web of Science ®Google Scholar
• Liang, S., Zhang, X., Li, C., Li, H., & Yu, X. (2021). Tit for tat: Understanding the responding behavior of property hosts on peer-to-peer rental platforms. International Journal of Contemporary Hospitality Management, 33(3), 1105–1126. https://doi.org/10.1108/IJCHM-07-2020-0705
   Web of Science ®Google Scholar
• Liao, G.-Y., Tseng, F.-C., Cheng, T. C. E., & Teng, C.-I. (2020). Impact of gaming habits on motivation to attain gaming goals, perceived price fairness, and online gamer loyalty: Perspective of consistency principle. Telematics and Informatics, 49, 101367. https://doi.org/10.1016/j.tele.2020.101367
   Web of Science ®Google Scholar
• Liu, X., Ye, Q., Nicolau, J. L., & Xu, Y. (2022). The saturation effect in hotel managerial responses. International Journal of Hospitality Management, 102, 103170.
   Web of Science ®Google Scholar
• Liu, J. N. K., & Zhang, E. Y. (2014). An investigation of factors affecting customer selection of online hotel booking channels. International Journal of Hospitality Management, 39, 71–83. https://doi.org/10.1016/j.ijhm.2014.01.011
   Web of Science ®Google Scholar
• Liu, S., Wang, N., Gao, B., & Gallivan, M. (2021). To be similar or to be different? The effect of hotel managers’ rote response on subsequent reviews. Tourism Management, 86, 104346. https://doi.org/10.1016/j.tourman.2021.104346
   Web of Science ®Google Scholar
• Liu, Z., & Park, S. (2015). What makes a useful online review? Implication for travel product websites. Tourism Management, 47, 140–151. https://doi.org/10.1016/j.tourman.2014.09.020
   Web of Science ®Google Scholar
• Ma, K. X., Mather, D. W., Ott, D. L., Fang, E., Bremer, P., & Mirosa, M. (2021). Fresh food online shopping repurchase intention: The role of post-purchase customer experience and corporate image. International Journal of Retail & Distribution Management, 50(2), 206–228. https://doi.org/10.1108/IJRDM-04-2021-0184
   Web of Science ®Google Scholar
• McCall, M., & Voorhees, C. (2010). The drivers of loyalty program success: An organizing framework and research agenda. Cornell Hospitality Quarterly, 51(1), 35–52. https://doi.org/10.1177/1938965509355395
   Web of Science ®Google Scholar
• Minnema, A., Bijmolt, T. H. A., & Non, M. C. (2017). The impact of instant reward programs and bonus premiums on consumer purchase behavior. International Journal of Research in Marketing, 34(1), 194–211. https://doi.org/10.1016/j.ijresmar.2016.08.001
   Web of Science ®Google Scholar
• Mody, M., Suess, C., & Lehto, X. (2019). Using segmentation to compete in the age of the sharing economy: Testing a core-periphery framework. International Journal of Hospitality Management, 78, 199–213. https://doi.org/10.1016/j.ijhm.2018.09.003
   Web of Science ®Google Scholar
• Molinillo, S., Aguilar-Illescas, R., Anaya-Sánchez, R., & Liébana-Cabanillas, F. (2021). Social commerce website design, perceived value and loyalty behavior intentions: The moderating roles of gender, age and frequency of use. Journal of Retailing and Consumer Services, 63, 102404. https://doi.org/10.1016/j.jretconser.2020.102404
   Web of Science ®Google Scholar
• Nastasoiu, A., & Vandenbosch, M. (2019). Competing with loyalty: How to design successful customer loyalty reward programs. Business Horizons, 62(2), 207–214. https://doi.org/10.1016/j.bushor.2018.11.002
   Web of Science ®Google Scholar
• Nguyen-Phuoc, D. Q., Vo, N. S., Su, D. N., Nguyen, V. H., & Oviedo-Trespalacios, O. (2021). What makes passengers continue using and talking positively about ride-hailing services? The role of the booking app and post-booking service quality. Transportation Research Part A: Policy and Practice, 150, 367–384. https://doi.org/10.1016/j.tra.2021.06.013
   Web of Science ®Google Scholar
• Nikbin, D., Aramo, T., Iranmanesh, M., & Ghobakhloo, M. (2022). Impact of brands’ Facebook page characteristics and followers’ comments on trust building and purchase intention: Alternative attractiveness as moderator. Journal of Consumer Behaviour, 21(3), 494–508. https://doi.org/10.1002/cb.2018
   Web of Science ®Google Scholar
• Nunnally, J. (1978). Psychometric theory–– (2nd Editio). McGraw-Hill.
   Google Scholar
• Ozturk, A. B., Bilgihan, A., Nusair, K., & Okumus, F. (2016). What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience. International Journal of Information Management, 36(6), 1350–1359. https://doi.org/10.1016/j.ijinfomgt.2016.04.005
   Web of Science ®Google Scholar
• Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL: A multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213–233. https://doi.org/10.1177/1094670504271156
   Web of Science ®Google Scholar
• Park, D.-H., Lee, J., & Han, I. (2007). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125–148. https://doi.org/10.2753/JEC1086-4415110405
   Web of Science ®Google Scholar
• Pires, G., Stanton, J., & Eckford, A. (2004). Influences on the perceived risk of purchasing online. Journal of Consumer Behaviour: An International Research Review, 4(2), 118–131. https://doi.org/10.1002/cb.163
   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. https://doi.org/10.1037/0021-9010.88.5.879
   PubMed Web of Science ®Google Scholar
• Ramaseshan, B., Wirtz, J., & Georgi, D. (2017). The enhanced loyalty drivers of customers acquired through referral reward programs. Journal of Service Management, 28(4), 687–706. https://doi.org/10.1108/JOSM-07-2016-0190
   Web of Science ®Google Scholar
• Roma, P., Panniello, U., Vasi, M., & Nigro, G. L. (2021). Sharing economy and dynamic pricing: Is the impact of Airbnb on the hotel industry time-dependent? Journal of Hospitality and Tourism Management, 49, 341–352. https://doi.org/10.1016/j.jhtm.2021.09.013
   Web of Science ®Google Scholar
• Shahid, S., Islam, J. U., Malik, S., & Hasan, U. (2022). Examining consumer experience in using m-banking apps: A study of its antecedents and outcomes. Journal of Retailing and Consumer Services, 65, 102870. https://doi.org/10.1016/j.jretconser.2021.102870
   Web of Science ®Google Scholar
• Sharma, D., Paul, J., Dhir, S., & Taggar, R. (2021). Deciphering the impact of responsiveness on customer satisfaction, cross-buying behaviour, revisit intention and referral behaviour. Asia Pacific Journal of Marketing and Logistics, 1–20. https://doi.org/10.1108/APJML-07-2021-0465
   Google Scholar
• Sharma, H., & Aggarwal, A. G. (2019). Finding determinants of e-commerce success: A PLS-SEM approach. Journal of Advances in Management Research, 16(4), 453–471. https://doi.org/10.1108/JAMR-08-2018-0074
   Web of Science ®Google Scholar
• Shin, H. W., Fan, A., & Lehto, X. (2021). Peer-to-peer accommodation: A meta-analysis of factors affecting customer satisfaction and loyalty. International Journal of Tourism Research, 23(4), 581–596. https://doi.org/10.1002/jtr.2428
   Web of Science ®Google Scholar
• Suess, C., Woosnam, K. M., & Erul, E. (2020). Stranger-danger? Understanding the moderating effects of children in the household on non-hosting residents’ emotional solidarity with Airbnb visitors, feeling safe, and support for Airbnb. Tourism Management, 77, 103952. https://doi.org/10.1016/j.tourman.2019.103952
   Web of Science ®Google Scholar
• Tajeddini, K., Gamage, T. C., Hameed, W. U., Qumsieh-Mussalam, G., Chaijani, M. H., Rasoolimanesh, S. M., & Kallmuenzer, A. (2022). How self-gratification and social values shape revisit intention and customer loyalty of Airbnb customers. International Journal of Hospitality Management, 100, 103093. https://doi.org/10.1016/j.ijhm.2021.103093
   Web of Science ®Google Scholar
• Tajeddini, K., Rasoolimanesh, S. M., Gamage, T. C., & Martin, E. (2021). Exploring the visitors’ decision-making process for Airbnb and hotel accommodations using value-attitude-behavior and theory of planned behavior. International Journal of Hospitality Management, 96, 102950. https://doi.org/10.1016/j.ijhm.2021.102950
   Web of Science ®Google Scholar
• Tanford, S. (2013). The impact of tier level on attitudinal and behavioral loyalty of hotel reward program members. International Journal of Hospitality Management, 34(1), 285–294. https://doi.org/10.1016/j.ijhm.2013.04.006
   Google Scholar
• Tanford, S., Choi, C., & Joe, S. J. (2019). The influence of pricing strategies on willingness to pay for accommodations: Anchoring, framing, and metric compatibility. Journal of Travel Research, 58(6), 932–944. https://doi.org/10.1177/0047287518793037
   Web of Science ®Google Scholar
• Tang, Z., & He, B. (2021). The influence of information configuration on mobile game download. Internet Research, 1–19. https://doi.org/10.1108/INTR-11-2020-0655
   Google Scholar
• Toan, P. N., Dang, T.-T., & Hong, L. T. T. (2021). E-learning platform assessment and selection using two-stage multi-criteria decision-making approach with Grey theory: A case study in Vietnam. Mathematics, 9(23), 3136. https://doi.org/10.3390/math9233136
   Web of Science ®Google Scholar
• Tussyadiah, I. P. (2016). Factors of satisfaction and intention to use peer-to-peer accommodation. International Journal of Hospitality Management, 55, 70–80. https://doi.org/10.1016/j.ijhm.2016.03.005
   Web of Science ®Google Scholar
• Tussyadiah, I. P., & Pesonen, J. (2016). Impacts of peer-to-peer accommodation use on travel patterns. Journal of Travel Research, 55(8), 1022–1040. https://doi.org/10.1177/0047287515608505
   Web of Science ®Google Scholar
• Twum, K. K., Kosiba, J. P. B., Hinson, R. E., Gabrah, A. Y. B., & Assabil, E. N. (2022). Determining mobile money service customer satisfaction and continuance usage through service quality. Journal of Financial Services Marketing, 1–13. https://doi.org/10.1057/s41264-021-00138-5
   Google Scholar
• Volz, J., & Volgger, M. (2022). Does Airbnb offer hedonic or utilitarian products? An experimental analysis of motivations to use Airbnb. Current Issues in Tourism, 1–16. https://doi.org/10.1080/13683500.2022.2041564
   Google Scholar
• Wandoko, W., & Panggati, I. E. (2022). The influence of digital influencer, e-WOM and information quality on customer repurchase intention toward online shop in e-marketplace during pandemic COVID-19: The mediation effect of customer trust. Journal of Relationship Marketing, 21(2), 148–167. https://doi.org/10.1080/15332667.2022.2035198
   Google Scholar
• Wang, X., Zhao, B., & Chen, J. (2022). The construction of consumer dynamic trust in cross-border online shopping–qualitative research based on Tmall Global, JD Worldwide and NetEase Koala. Journal of Contemporary Marketing Science, 91, 1–28. https://doi.org/10.1016/j.tourman.2022.104527
   Google Scholar
• Wang, Y., Asaad, Y., & Filieri, R. (2020). What makes hosts trust Airbnb? Antecedents of hosts’ trust toward Airbnb and its impact on continuance intention. Journal of Travel Research, 59(4), 686–703. https://doi.org/10.1177/0047287519855135
   Web of Science ®Google Scholar
• Wang, Y., & Li, C. (2022). Differences between the formation of tourism purchase intention and the formation of actual behavior: A meta-analytic review. Tourism Management, 91, 104527. https://doi.org/10.1016/j.tourman.2022.104527
   Web of Science ®Google Scholar
• Watchravesringkan, K., Yan, R.-N., & Yurchisin, J. (2008). Cross-cultural invariance of consumers’ price perception measures: Eastern Asian perspective. International Journal of Retail & Distribution Management, 36(10), 759–779. https://doi.org/10.1108/09590550810900982
   Google Scholar
• Wetzels, M., Odekerken-Schroder, G., & Van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration. Mis Quarterly, 33(1), 177–195. https://doi.org/10.2307/20650284
   Web of Science ®Google Scholar
• Wirtz, J., Mattila, A. S., & Oo Lwin, M. (2007). How effective are loyalty reward programs in driving share of wallet? Journal of Service Research, 9(4), 327–334. https://doi.org/10.1177/1094670506295853
   Web of Science ®Google Scholar
• Xie, K. L., Xiong, L., Chen, C.-C., & Hu, C. (2015). Understanding active loyalty behavior in hotel reward programs through customers’ switching costs and perceived program value. Journal of Travel & Tourism Marketing, 32(3), 308–324. https://doi.org/10.1080/10548408.2014.896767
   Web of Science ®Google Scholar
• Yin, W., & Xu, B. (2021). Effect of online shopping experience on customer loyalty in apparel business-to-consumer ecommerce. Textile Research Journal, 1–14. https://doi.org/10.1177/00405175211016559
   Google Scholar
• Zhang, M., Geng, R., Huang, Y., & Ren, S. (2021). Terminator or accelerator? Lessons from the peer-to-peer accommodation hosts in China in responses to COVID-19. International Journal of Hospitality Management, 92, 102760. https://doi.org/10.1016/j.ijhm.2020.102760
   PubMed Web of Science ®Google Scholar
• Zhang, M., Zhang, Y., Zhao, L., & Li, X. (2020). What drives online course sales? Signaling effects of user-generated information in the paid knowledge market. Journal of Business Research, 118, 389–397. https://doi.org/10.1016/j.jbusres.2020.07.008
   Web of Science ®Google Scholar
• Zhang, Y., & Wang, J. (2022). Quality-speed trade-offs in customer-intensive services with boundedly rational customers and retrials. Computers & Industrial Engineering, 167, 107983. https://doi.org/10.1016/j.cie.2022.107983
   Web of Science ®Google Scholar
• Zhao, X., Wang, L., Guo, X., & Law, R. (2015). The influence of online reviews to online hotel booking intentions. International Journal of Contemporary Hospitality Management, 27(6), 1343–1364. https://doi.org/10.1108/IJCHM-12-2013-0542
   Web of Science ®Google Scholar
• Zheng, D. (2020). The 15 second rule: 3 reasons why users leave a website. Retrieved April 5, 2022, from https://www.crazyegg.com/blog/why-users-leave-a-website/
   Google Scholar
• Zhou, T. (2013). An empirical examination of the determinants of mobile purchase. Personal and Ubiquitous Computing, 17(1), 187–195. https://doi.org/10.1007/s00779-011-0485-y
   Web of Science ®Google Scholar