Moderating effect of privacy concerns and subjective norms between satisfaction and repurchase of airline e-ticket through airline-ticket vendors

References

• Acquisti, A., Brandimarte, L., & Loewenstein, G. (2015). Privacy and human behavior in the age of information. Science, 347(6221), 509–514. doi: 10.1126/science.aaa1465
   PubMed Web of Science ®Google Scholar
• Akamavi, R. K., Mohamed, E., Pellmann, K., & Xu, Y. (2015). Key determinants of passenger loyalty in the low-cost airline busiess. Tourism Management, 46, 528–545. doi: 10.1016/j.tourman.2014.07.010
   Web of Science ®Google Scholar
• Amaro, S., & Duarte, P. (2013). Online travel purchasing: A literature review. Journal of Travel & Tourism Marketing, 30(8), 755–785. doi: 10.1080/10548408.2013.835227
   Web of Science ®Google Scholar
• Amaro, S., & Duarte, P. (2015). An integrative model of consumers’ intentions to purchase travel online. Tourism Management, 46, 64–79. doi: 10.1016/j.tourman.2014.06.006
   Web of Science ®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
   Web of Science ®Google Scholar
• Arcand, M., Nantel, J., Arles-Dufour, M., & Vincent, A. (2007). The impact of reading a web site's privacy statement on perceived control over privacy and perceived trust. Online Information Review, 31(5), 661–681. doi: 10.1108/14684520710832342
   Web of Science ®Google Scholar
• Armstrong, J. S., & Overton, T. S. (1977). Estimating nonresponse bias in mail surveys. Journal of Marketing Research, 14(3), 396–402. doi: 10.2307/3150783
   Web of Science ®Google Scholar
• Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. doi: 10.2307/3250921
   Web of Science ®Google Scholar
• Bhattacherjee, A. (2012). Social science research: Principles, methods, and practices. Textbooks Collection. Book 3. Retrieved from http://scholarcommons.usf.edu/oa_textbooks/3
   Google Scholar
• Bhattacherjee, A., & Lin, C. P. (2015). A unified model of IT continuance: Three complementary perspectives and crossover effects. European Journal of Information Systems, 24(4), 364–373. doi: 10.1057/ejis.2013.36
   Web of Science ®Google Scholar
• Bigné, E., Ruiz, C., Andreu, L., & Hernandez, B. (2015). The role of social motivations, ability, and opportunity in online know-how exchanges: Evidence from the airline services industry. Service Business, 9(2), 209–232. doi: 10.1007/s11628-013-0224-8
   Web of Science ®Google Scholar
• Bogicevic, V., Bujisic, M., Bilgihan, A., Yang, W., & Cobanoglu, C. (2017). The impact of traveler-focused airport technology on traveler satisfaction. Technological Forecasting and Social Change, 123, 351–361. doi: 10.1016/j.techfore.2017.03.038
   Web of Science ®Google Scholar
• Cambra-Fierro, J., Melero-Polo, I., & Sese, J. (2015). Does the nature of the relationship really matter? An analysis of the roles of loyalty and involvement in service recovery processes. Service Business, 9(2), 297–320. doi: 10.1007/s11628-013-0228-4
   Web of Science ®Google Scholar
• Casaló, L. V., Flavián, C., & Guinalíu, M. (2010). Determinants of the intention to participate in firm-hosted online travel communities and effects on consumer behavioral intentions. Tourism Management, 31(6), 898–911. doi: 10.1016/j.tourman.2010.04.007
   Web of Science ®Google Scholar
• Cenfetelli, R. T., Benbasat, I., & Al-Natour, S. (2008). Addressing the what and how of online services: Positioning supporting-services functionality and service quality for business-to-consumer success. Information Systems Research, 19(2), 161–181. doi: 10.1287/isre.1070.0163
   Web of Science ®Google Scholar
• Chea, S., & Luo, M. M. (2008). Post-adoption behaviors of e-service customers: The interplay of cognition and emotion. International Journal of Electronic Commerce, 12(3), 29–56. doi: 10.2753/JEC1086-4415120303
   Web of Science ®Google Scholar
• Chen, C. F. (2008). Investigating structural relationships between service quality, perceived value, satisfaction, and behavioral intentions for air passengers: Evidence from Taiwan. Transportation Research Part A: Policy and Practice, 42(4), 709–717.
   Web of Science ®Google Scholar
• Chen, Y. L., & Chiu, H. C. (2009). The effects of relational bonds on online customer satisfaction. The Service Industries Journal, 29(11), 1581–1595. doi: 10.1080/02642060902793326
   Web of Science ®Google Scholar
• Chen, C. F., & Kao, Y. L. (2010). Relationships between process quality, outcome quality, satisfaction, and behavioural intentions for online travel agencies–evidence from Taiwan. The Service Industries Journal, 30(12), 2081–2092. doi: 10.1080/02642060903191108
   Web of Science ®Google Scholar
• Cheng, J. C., Chen, C. Y., Yen, C. H., & Teng, H. Y. (2017). Building customer satisfaction with tour leaders: The roles of customer trust, justice perception, and cooperation in group package tours. Asia Pacific Journal of Tourism Research, 22(4), 395–407. doi: 10.1080/10941665.2016.1271816
   Web of Science ®Google Scholar
• Cheng, S., Lam, T., & Hsu, C. H. (2006). Negative word-of-mouth communication intention: An application of the theory of planned behavior. Journal of Hospitality & Tourism Research, 30(1), 95–116. doi: 10.1177/1096348005284269
   Google Scholar
• Chin, W. W. (1998). The partial least squares approach for structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Mahwah, NJ: Lawrence Erlbaum Associates.
   Google Scholar
• Choi, M., Han, K., & Choi, J. (2015). The effects of product attributes and service quality of transportation card solutions on service user’s continuance and word-of-mouth intention. Service Business, 9(3), 463–490. doi: 10.1007/s11628-014-0235-0
   Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd Edition). Hillsdale, NJ: Lawrence Earlbaum Associates.
   Google Scholar
• Cohen, S. A., Prayag, G., & Moital, M. (2014). Consumer behaviour in tourism: Concepts, influences and opportunities. Current Issues in Tourism, 17(10), 872–909. doi: 10.1080/13683500.2013.850064
   Web of Science ®Google Scholar
• Dao, T. K., Tapanainen, T. J., Nguyen, H. T. T., Nguyen, T. H., & Nguyen, N. D. (2017). Information safety, corporate image, and intention to Use online services: Evidence from travel industry in Vietnam. Boston, MA: AMCIS 2017.
   Google Scholar
• Davison, L., Littleford, C., & Ryley, T. (2014). Air travel attitudes and behaviours: The development of environment-based segments. Journal of Air Transport Management, 36, 13–22. doi: 10.1016/j.jairtraman.2013.12.007
   Web of Science ®Google Scholar
• De Vos, J., & Witlox, F. (2017). Travel satisfaction revisited. On the pivotal role of travel satisfaction in conceptualising a travel behaviour process. Transportation Research Part A: Policy and Practice, 106, 364–373.
   Web of Science ®Google Scholar
• Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly=Management Information Systems Quarterly, 39(2), 297–316. doi: 10.25300/MISQ/2015/39.2.02
   Web of Science ®Google Scholar
• East, R., Singh, J., Wright, M., & Vanhuele, M. (2016). Consumer behaviour: Applications in marketing. London, UK: Sage.
   Google Scholar
• Elkhani, N., Soltani, S., & Jamshidi, M. H. M. (2014). Examining a hybrid model for e-satisfaction and e-loyalty to e-ticketing on airline websites. Journal of Air Transport Management, 37, 36–44. doi: 10.1016/j.jairtraman.2014.01.006
   Web of Science ®Google Scholar
• Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014). Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model. Tourism Management, 43, 70–88. doi: 10.1016/j.tourman.2014.01.017
   Web of Science ®Google Scholar
• Fang, Y., Qureshi, I., Sun, H., McCole, P., Ramsey, E., & Lim, K. H. (2014). Trust, satisfaction, and online repurchase intention: The moderating role of perceived effectiveness of E-commerce institutional mechanisms. Mis Quarterly, 38(2), 407–427. doi: 10.25300/MISQ/2014/38.2.04
   Web of Science ®Google Scholar
• Fleischer, A., Tchetchik, A., & Toledo, T. (2015). Does it pay to reveal safety information? The effect of safety information on flight choice. Transportation Research Part C: Emerging Technologies, 56, 210–220. doi: 10.1016/j.trc.2015.03.039
   Web of Science ®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
   Web of Science ®Google Scholar
• Fortes, N., & Rita, P. (2016). Privacy concerns and online purchasing behaviour: Towards an integrated model. European Research on Management and Business Economics, 22(3), 167–176. doi: 10.1016/j.iedeen.2016.04.002
   Web of Science ®Google Scholar
• George, J. F. (2004). The theory of planned behavior and internet purchasing. Internet Research, 14(3), 198–212. doi: 10.1108/10662240410542634
   Web of Science ®Google Scholar
• Guttentag, D. (2015). Airbnb: Disruptive innovation and the rise of an informal tourism accommodation sector. Current Issues in Tourism, 18(12), 1192–1217. doi: 10.1080/13683500.2013.827159
   Web of Science ®Google Scholar
• Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6th ed). Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Hair, J. F., Jr, Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). London, UK: Sage.
   Google Scholar
• Harman, H. H. (1976). Modern factor analysis. Chicago: University of Chicago Press.
   Google Scholar
• Henseler, J., & Fassott, G. (2010). Testing moderating effects in PLS path models: An illustration of available procedures. In Handbook of partial least squares (pp. 713–735). Berlin: Springer.
   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. doi: 10.1007/s11747-014-0403-8
   Web of Science ®Google Scholar
• Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405–431. doi: 10.1108/IMR-09-2014-0304
   Web of Science ®Google Scholar
• Hew, J. J., Tan, G. W. H., Lin, B., & Ooi, K. B. (2017). Generating travel-related contents through mobile social tourism: Does privacy paradox persist? Telematics and Informatics. doi: 10.1016/j.tele.2017.04.001
   Web of Science ®Google Scholar
• Hsiao, C. H. (2018). The effects of post-adoption beliefs on the expectation–confirmation model in an electronics retail setting. Total Quality Management & Business Excellence, 29(7–8), 866–880. doi: 10.1080/14783363.2016.1250621
   Web of Science ®Google Scholar
• Hsieh, C. M., Park, S. H., & McNally, R. (2016). Application of the extended theory of planned behavior to intention to travel to Japan among Taiwanese youth: Investigating the moderating effect of past visit experience. Journal of Travel & Tourism Marketing, 33(5), 717–729. doi: 10.1080/10548408.2016.1167387
   Web of Science ®Google Scholar
• Hsu, M. H., & Chiu, C. M. (2004). Predicting electronic service continuance with a decomposed theory of planned behaviour. Behaviour & Information Technology, 23(5), 359–373. doi: 10.1080/01449290410001669969
   Web of Science ®Google Scholar
• Hsu, C. L., & Lin, J. C. C. (2015). What drives purchase intention for paid mobile apps? – an expectation confirmation model with perceived value. Electronic Commerce Research and Applications, 14(1), 46–57. doi: 10.1016/j.elerap.2014.11.003
   Web of Science ®Google Scholar
• Hung, Y. C., Yang, Y. L., Yang, H. E., & Chuang, Y. H. (2011). Factors affecting the adoption of e-commerce for the tourism industry in Taiwan. Asia Pacific Journal of Tourism Research, 16(1), 105–119. doi: 10.1080/10941665.2011.539394
   Web of Science ®Google Scholar
• Ismail, N. A. B., & Hussin, H. B. (2016, November). The effect of E-CRM features on customers satisfaction for airline e-ticket services in Malaysia. In 6th international conference on information and communication technology for the Muslim world (ICT4M) (pp. 336–343). Jakarta, Indonesia: IEEE.
   Google Scholar
• Jeon, H. M., Ali, F., & Lee, S. W. (2018). Determinants of consumers’ intentions to use smartphones apps for flight ticket bookings. The Service Industries Journal, 1–18. doi:10.1080/02642069.2018.1437908
   Web of Science ®Google Scholar
• Johnson, B., & Christensen, L. (2008). Educational research: Quantitative, qualitative, and mixed approaches. Thousand Oaks, CA: Sage.
   Google Scholar
• Kang, Y. S., Hong, S., & Lee, H. (2009). Exploring continued online service usage behavior: The roles of self-image congruity and regret. Computers in Human Behavior, 25(1), 111–122. doi: 10.1016/j.chb.2008.07.009
   Web of Science ®Google Scholar
• Kang, Y. S., & Lee, H. (2010). Understanding the role of an IT artifact in online service continuance: An extended perspective of user satisfaction. Computers in Human Behavior, 26(3), 353–364. doi: 10.1016/j.chb.2009.11.006
   Web of Science ®Google Scholar
• Kim, M. J., Chung, N., Lee, C. K., & Kim, J. M. (2012). Do loyalty groups differ in the role of trust in online tourism shopping? A process perspective. Journal of Travel & Tourism Marketing, 29(4), 352–368. doi: 10.1080/10548408.2012.674878
   Web of Science ®Google Scholar
• Kim, M. J., Chung, N., & Lee, C. K. (2011). The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea. Tourism Management, 32(2), 256–265. doi: 10.1016/j.tourman.2010.01.011
   Web of Science ®Google Scholar
• Kim, J. Y., Kaufmann, K., & Stegemann, M. (2014). The impact of buyer–seller relationships and reference prices on the effectiveness of the pay what you want pricing mechanism. Marketing Letters, 25(4), 409–423. doi: 10.1007/s11002-013-9261-2
   Web of Science ®Google Scholar
• Kim, H. B., Kim, T. T., & Shin, S. W. (2009). Modeling roles of subjective norms and etrust in customers’ acceptance of airline B2C eCommerce websites. Tourism Management, 30(2), 266–277. doi: 10.1016/j.tourman.2008.07.001
   Web of Science ®Google Scholar
• Kuo, C. W., & Jou, R. C. (2014). Asymmetric response model for evaluating airline service quality: An empirical study in cross-strait direct flights. Transportation Research Part A: Policy and Practice, 62, 63–70.
   Web of Science ®Google Scholar
• Ladhari, R., & Michaud, M. (2015). eWOM effects on hotel booking intentions, attitudes, trust, and website perceptions. International Journal of Hospitality Management, 46, 36–45. doi: 10.1016/j.ijhm.2015.01.010
   Web of Science ®Google Scholar
• Laihonen, H., Jääskeläinen, A., & Pekkola, S. (2014). Measuring performance of a service system–from organizations to customer-perceived performance. Measuring Business Excellence, 18(3), 73–86. doi: 10.1108/MBE-08-2013-0045
   Google Scholar
• Lam, T., & Zhang, H. Q. (1999). Service quality of travel agents: The case of travel agents in Hong Kong. Tourism Management, 20(3), 341–349. doi: 10.1016/S0261-5177(98)00118-6
   Web of Science ®Google Scholar
• Lee, C. H., & Cranage, D. A. (2011). Personalisation–privacy paradox: The effects of personalisation and privacy assurance on customer responses to travel Web sites. Tourism Management, 32(5), 987–994. doi: 10.1016/j.tourman.2010.08.011
   Web of Science ®Google Scholar
• Lee, Y. J., & Dubinsky, A. J. (2017). Consumers’ desire to interact with a salesperson during e-shopping: Development of a scale. International Journal of Retail & Distribution Management, 45(1), 20–39. doi: 10.1108/IJRDM-04-2016-0058
   Web of Science ®Google Scholar
• Liao, C., Chen, J. L., & Yen, D. C. (2007). Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in Human Behavior, 23(6), 2804–2822. doi: 10.1016/j.chb.2006.05.006
   Web of Science ®Google Scholar
• Lichtman, M. (2012). Qualitative research in education: A user's guide. Thousand Oaks, CA: Sage.
   Google Scholar
• Lin, C. S., Wu, S., & Tsai, R. J. (2005). Integrating perceived playfulness into expectation-confirmation model for web portal context. Information & Management, 42(5), 683–693. doi: 10.1016/j.im.2004.04.003
   Web of Science ®Google Scholar
• López-Bonilla, J. M., & López-Bonilla, L. M. (2013). Self-service technology versus traditional service: Examining cognitive factors in the purchase of the airline ticket. Journal of Travel & Tourism Marketing, 30(5), 497–508. doi: 10.1080/10548408.2013.803396
   Web of Science ®Google Scholar
• Maruping, L. M., Bala, H., Venkatesh, V., & Brown, S. A. (2017). Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology. Journal of the Association for Information Science and Technology, 68(3), 623–637. doi: 10.1002/asi.23699
   Web of Science ®Google Scholar
• Moon, H., Yoon, H. J., & Han, H. (2016). Role of airport physical environments in the satisfaction generation process: Mediating the impact of traveller emotion. Asia Pacific Journal of Tourism Research, 21(2), 193–211. doi: 10.1080/10941665.2015.1048260
   Web of Science ®Google Scholar
• Moon, H., Yoon, H. J., & Han, H. (2017). The effect of airport atmospherics on satisfaction and behavioral intentions: Testing the moderating role of perceived safety. Journal of Travel & Tourism Marketing, 34(6), 749–763. doi: 10.1080/10548408.2016.1223779
   Web of Science ®Google Scholar
• Moreno-Izquierdo, L., Ramón-Rodríguez, A., & Ribes, J. P. (2015). The impact of the internet on the pricing strategies of the European low cost airlines. European Journal of Operational Research, 246(2), 651–660. doi: 10.1016/j.ejor.2015.05.013
   Web of Science ®Google Scholar
• Nakra, P. (2001). Consumer privacy rights: CPR and the age of the internet. Management Decision, 39(4), 272–279. doi: 10.1108/EUM0000000005462
   Google Scholar
• Neter, J., Wasserman, W., & Kutner, M. H. (1990). Applied linear statistical models (3rd ed.). Boston, MA: Irwin.
   Google Scholar
• Oliver, R. L. (2014). Satisfaction: A behavioral perspective on the consumer. New York: Routledge.
   Google Scholar
• Özpolat, K., & Jank, W. (2015). Getting the most out of third party trust seals: An empirical analysis. Decision Support Systems, 73, 47–56. doi: 10.1016/j.dss.2015.02.016
   Web of Science ®Google Scholar
• Pai, C. K., Wang, T. W., Chen, S. H., & Cai, K. Y. (2018). Empirical study on Chinese tourists’ perceived trust and intention to use biometric technology. Asia Pacific Journal of Tourism Research, 1–16. doi:10.1080/10941665.2018.1499544
   Web of Science ®Google Scholar
• Pan, J. Y., & Truong, D. (2018). Passengers’ intentions to use low-cost carriers: An extended theory of planned behavior model. Journal of Air Transport Management, 69, 38–48. doi: 10.1016/j.jairtraman.2018.01.006
   Web of Science ®Google Scholar
• Panda, M. R. K., & Das, B. (2016). Factors affecting adoption of electronic commerce by travel agencies Odisha: A literature review introduction. International Journal of Research in IT and Management, 6(7), 113–126.
   Google Scholar
• Pavlou, P. A., & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Quarterly, 30(1), 115–143. doi: 10.2307/25148720
   Web of Science ®Google Scholar
• Plangger, K., & Watson, R. T. (2015). Balancing customer privacy, secrets, and surveillance: Insights and management. Business Horizons, 58(6), 625–633. doi: 10.1016/j.bushor.2015.06.006
   Web of Science ®Google Scholar
• Ponte, E. B., Carvajal-Trujillo, E., & Escobar-Rodríguez, T. (2015). Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents. Tourism Management, 47, 286–302. doi: 10.1016/j.tourman.2014.10.009
   Web of Science ®Google Scholar
• Rashotte, L. (2007). Social influence. In G. Ritzer (Ed.), The Blackwell Encyclopedia of Sociology (pp. 4426–4429). Oxford: Black-well Publishing.
   Google Scholar
• Reisenzein, R. (2015). Social emotions from the perspective of the computational belief-desire theory of emotion. In The cognitive foundations of group attitudes and social interaction (pp. 153–176). Cham: Springer International.
   Google Scholar
• Ren, L., Zhang, H. Q., & Ye, B. H. (2015). Understanding customer satisfaction with budget hotels through online comments: Evidence from home inns in China. Journal of Quality Assurance in Hospitality & Tourism, 16(1), 45–62. doi: 10.1080/1528008X.2015.966299
   Web of Science ®Google Scholar
• Ringle, C. M., da Silva, D., & Bido, D. D. S. (2015). Structural equation modeling with the Smartpls.
   Google Scholar
• Ringle, C. M., Wende, S., & Becker, J.-M. (2015). “SmartPLS 3.” Boenningstedt: SmartPLS GmbH. http://www.smartpls.com.
   Google Scholar
• Ruiz-Mafe, C., Sanz-Blas, S., Hernandez-Ortega, B., & Brethouwer, M. (2013). Key drivers of consumer purchase of airline tickets: Across-cultural analysis. Journal of Air Transport Management, 27, 11–14. doi: 10.1016/j.jairtraman.2012.10.010
   Web of Science ®Google Scholar
• Ruiz-Mafe, C., Tronch, J., & Sanz-Blas, S. (2016). The role of emotions and social influences on consumer loyalty towards online travel communities. Journal of Service Theory and Practice, 26(5), 534–558. doi: 10.1108/JSTP-12-2014-0294
   Web of Science ®Google Scholar
• Sarstedt, M., Henseler, J., & Ringle, C. M. (2011). Multigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results. In Measurement and research methods in international marketing (pp. 195–218). Bingley, UK: Emerald Group Publishing Limited.
   Google Scholar
• Shankar, V., Kleijnen, M., Ramanathan, S., Rizley, R., Holland, S., & Morrissey, S. (2016). Mobile shopper marketing: Key issues, current insights, and future research avenues. Journal of Interactive Marketing, 34, 37–48. doi: 10.1016/j.intmar.2016.03.002
   Web of Science ®Google Scholar
• Sheung, C. T., Yazdanifard, R., & Fraser Business Park, K. L. (2014). How online privacy systems assure more customer satisfaction & trust? International Journal of Economic and Management Science, 3(2), 18–21.
   Google Scholar
• Soper, D. S. (2018). A-priori sample size calculator for structural equation models [Software]. Retrieved from http://www.danielsoper.com/statcalc
   Google Scholar
• Srinivasan, R. (2015). Exploring the impact of social norms and online shopping anxiety in the adoption of online apparel shopping by Indian consumers. Journal of Internet Commerce, 14(2), 177–199. doi: 10.1080/15332861.2015.1008891
   Web of Science ®Google Scholar
• Suki, N. M., & Suki, N. M. (2017). Flight ticket booking app on mobile devices: Examining the determinants of individual intention to use. Journal of Air Transport Management, 62, 146–154. doi: 10.1016/j.jairtraman.2017.04.003
   Web of Science ®Google Scholar
• Swan, J. E., & Trawick, I. F. (1981). Disconfirmation of expectations and satisfaction with a retail service. Journal of Retailing, 57(3), 49–67.
   Web of Science ®Google Scholar
• Taddicken, M. (2014). The ‘privacy paradox’ in the social web: The impact of privacy concerns, individual characteristics, and the perceived social relevance on different forms of self-disclosure. Journal of Computer-Mediated Communication, 19(2), 248–273. doi: 10.1111/jcc4.12052
   Web of Science ®Google Scholar
• Tan, C. W., Benbasat, I., & Cenfetelli, R. T. (2016). An exploratory study of the formation and impact of electronic service failures. Mis Quarterly, 40(1), 1–29. doi: 10.25300/MISQ/2016/40.1.01
   Web of Science ®Google Scholar
• Tan, X., Qin, L., Kim, Y., & Hsu, J. (2012). Impact of privacy concern in social networking web sites. Internet Research, 22(2), 211–233. doi: 10.1108/10662241211214575
   Web of Science ®Google Scholar
• Thong, J. Y., Hong, S. J., & Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human-Computer Studies, 64(9), 799–810. doi: 10.1016/j.ijhcs.2006.05.001
   Web of Science ®Google Scholar
• Tse, D. K., & Wilton, P. C. (1988). Models of consumer satisfaction formation: An extension. Journal of Marketing Research, 204–212. doi: 10.2307/3172652
   Web of Science ®Google Scholar
• Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.
   Web of Science ®Google Scholar
• Wang, E. S. T., Chen, L. S. L., & Chen, I. F. (2015). The antecedents and influences of airline loyalty programs: The moderating role of involvement. Service Business, 9(2), 257–280. doi: 10.1007/s11628-013-0226-6
   Web of Science ®Google Scholar
• Wei, J., & Ozok, A. (2005). Development of a web-based mobile airline ticketing model with usability features. Industrial Management & Data Systems, 105(9), 1261–1277. doi: 10.1108/02635570510633293
   Web of Science ®Google Scholar
• Westland, J. C. (2010). Lower bounds on sample size in structural equation modeling. Electronic Commerce Research and Applications, 9(6), 476–487. doi: 10.1016/j.elerap.2010.07.003
   Web of Science ®Google Scholar
• Xu, X., Thong, J. Y., & Tam, K. Y. (2017). Winning back technology disadopters: Testing a technology readoption model in the context of mobile internet services. Journal of Management Information Systems, 34(1), 102–140. doi: 10.1080/07421222.2017.1297172
   Web of Science ®Google Scholar
• Zhou, T., & Liu, Y. (2014). Examining continuance usage of mobile banking from the perspectives of ECT and flow. International Journal of Services Technology and Management, 20(4–6), 199–214. doi: 10.1504/IJSTM.2014.068844
   Google Scholar