References

• Apanasevic, T., Arvidsson, N., & Markendahl, J. (2018). Mobile payments: A proposal for a context-oriented approach based on socio-technical system theory. Journal of Innovation Management, 6(3), 40–97.
   Google Scholar
• Armour, M., Rivaux, S. L., & Bell, H. (2009). Using context to build rigor: Application to two hermeneutic phenomenological studies. Qualitative Social Work, 8(1), 101–122.
   Google Scholar
• Au, Y. A., & Kauffman, R. J. (2008). The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application. Electronic Commerce Research and Applications, 7(2), 141–164.
   Web of Science ®Google Scholar
• Azadian, S., Shirali, G. A., & Saki, A. (2014). Designing a questionnaire to assess crisis management based on a resilience engineering approach. Jundishapur Journal of Health Science, 6(1), 245–256.
   Google Scholar
• Bernal, G. A., Salgado-Gálvez, M. A., Zuloaga, D., Tristancho, J., González, D., & Cardona, O. D. (2017). Integration of probabilistic and multi-hazard risk assessment within urban development planning and emergency preparedness and response: Application to Manizales, Colombia. International Journal of Disaster Risk Science, 8(3), 270–283.
   Web of Science ®Google Scholar
• Chang, S. E., & Shen, W. C. (2018). Exploring smartphone social networking services for mobile tourism. International Journal of Mobile Communications, 16(1), 63–81.
   Web of Science ®Google Scholar
• Chen, C. L., & Liao, J. J. (2011). A fair online payment system for digital content via subliminal channel. Electronic Commerce Research and Applications, 10(3), 279–287.
   Web of Science ®Google Scholar
• Chen, L. Y., & Wu, W. N. (2017). An exploration of the factors affecting users’ satisfaction with mobile payments. Source: International Journal of Computer Science & Information Technology (IJCSIT), 9(3), 97–105.
   Google Scholar
• CRNTT. (2015). Mobile payment failure calls for the active involvement of the government. Retrieved from http://hk.crntt.com/crn-webapp/touch/detail.jsp?coluid=53&kindid=0&docid=103776040
   Google Scholar
• de Reuver, M., & Ondrus, J. (2017). When technological superiority is not enough: The struggle to Impose the SIM card as the NFC secure element for mobile payment platforms. Telecommunications Policy, 41(4), 253–262.
   Web of Science ®Google Scholar
• de Reuver, M., Verschuur, E., Nikayin, F., Cerpa, N., & Bouwman, H. (2015). Collective action for mobile payment platforms: A case study on collaboration issues between banks and telecom operators. Electronic Commerce Research and Applications, 14(5), 331–344.
   Web of Science ®Google Scholar
• Duncombe, R. (2012). An evidence-based framework for assessing the potential of mobile finance in sub-Saharan Africa. The Journal of Modern African Studies, 50(3), 369–395.
   Web of Science ®Google Scholar
• Gannamaneni, A., Ondrus, J., & Lyytinen, K. (2015, January 5–8). A post-failure analysis of mobile payment platforms. Paper presented at 2015 48th the System Sciences (HICSS), Hawaii.
   Google Scholar
• Gao, L., & Waechter, K. A. (2017). Examining the role of initial trust in user adoption of mobile payment services: An empirical investigation. Information Systems Frontiers, 19(3), 525–548.
   Web of Science ®Google Scholar
• Gerpott, T. J., & Meinert, P. (2018). Termination notice of mobile network operator customers after a tariff switch: An empirical study of postpaid subscribers in Germany. Telecommunications Policy, 42(3), 212–226.
   Web of Science ®Google Scholar
• Ghezzi, A., Renga, F., Balocco, R., & Pescetto, P. (2010). Mobile payment applications: Offer state of the art in the Italian market. Info: the Journal of Policy, Regulation and Strategy for Telecommunications, Information and Media, 12(5), 3–22.
   Google Scholar
• Grüschow, R. M., & Brettel, M. (2018). Managing payment transaction costs at multinational online retailers. International Journal of Electronic Commerce, 22(1), 125–157.
   Web of Science ®Google Scholar
• Gupta, G., & Dhariwal, S. (2017). Secure online payment approach using postern algorithm. International Journal of Computer Applications, 167(14), 30–36.
   Google Scholar
• Gurtner, Y. (2016). Returning to paradise: Investigating issues of tourism crisis and disaster recovery on the island of Bali. Journal of Hospitality and Tourism Management, 28, 11–19.
   Web of Science ®Google Scholar
• He, Q., Duan, Y., Fu, Z., & Li, D. (2006). An innovation adoption study of online e-payment in Chinese companies. Journal of Electronic Commerce in Organizations (JECO), 4(1), 48–69.
   Google Scholar
• Iman, N. (2018). Is mobile payment still relevant in the fintech era? Electronic Commerce Research and Applications, 30, 72–82.
   Web of Science ®Google Scholar
• José Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Role of gender on acceptance of mobile payment. Industrial Management & Data Systems, 114(2), 220–240.
   Web of Science ®Google Scholar
• Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. Econometrica: Journal of the Econometric Society, 47(2), 263–292.
   Web of Science ®Google Scholar
• Kameshwar, S., & Padgett, J. E. (2014). Multi-hazard risk assessment of highway bridges subjected to earthquake and hurricane hazards. Engineering Structures, 78, 154–166.
   Web of Science ®Google Scholar
• Kappes, M. S., Keiler, M., von Elverfeldt, K., & Glade, T. (2012). Challenges of analyzing multi-hazard risk: A review. Natural Hazards, 64(2), 1925–1958.
   Web of Science ®Google Scholar
• Law, R., Sun, S., Schuckert, M., & Buhalis, D. (2018). An exploratory study of the dependence on mobile payment among Chinese travelers. In B. Stangl & J. Pesonen (Eds.). Information and Communication Technologies in Tourism 2018 (pp. 336–348). Cham, Switzerland: Springer International Publishing.
   Google Scholar
• Li, Y., & Ellingwood, B. R. (2006). Hurricane damage to residential construction in the US: Importance of uncertainty modeling in risk assessment. Engineering Structures, 28(7), 1009–1018.
   Web of Science ®Google Scholar
• Liébana-Cabanillas, F., Muñoz-Leiva, F., & Sánchez-Fernández, J. (2018). A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment. Service Business, 12(1), 25–64.
   Web of Science ®Google Scholar
• Liu, J., Kauffman, R. J., & Ma, D. (2015). Competition, cooperation, and regulation: Understanding the evolution of the mobile payments technology ecosystem. Electronic Commerce Research and Applications, 14(5), 372–391.
   Web of Science ®Google Scholar
• Lu, S., & Law, R. (2007). Technology crisis management in mainland china: A study of hotels in Hangzhou. Information Technology in Hospitality, 4, 153–159.
   Google Scholar
• Mallat, N. (2007). Exploring consumer adoption of mobile payments – A qualitative study. The Journal of Strategic Information Systems, 16(4), 413–432.
   Web of Science ®Google Scholar
• Morosan, C. (2018). An empirical analysis of intentions to cocreate value in hotels using mobile devices. Journal of Hospitality & Tourism Research, 42(4), 528–562.
   Web of Science ®Google Scholar
• Morosan, C., & DeFranco, A. (2016). It’s about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels. International Journal of Hospitality Management, 53, 17–29.
   Web of Science ®Google Scholar
• Ng, D. (2018). Evolution of digital payments: Early learnings from Singapore’s cashless payment drive. Journal of Payments Strategy & Systems, 11(4), 306–312.
   Google Scholar
• Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61, 404–414.
   Web of Science ®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.
   Web of Science ®Google Scholar
• Peng, R., Xiong, L., & Yang, Z. (2012). Exploring tourist adoption of tourism mobile payment: An empirical analysis. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 21–33.
   Google Scholar
• Pham, T. T. T., & Ho, J. C. (2015). The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in Society, 43, 159–172.
   Web of Science ®Google Scholar
• Rajendran, R., & Nair, A. V. (2017). Secure communication in online payment. International Journal of Engineering Science, 7(5), 11457–11459.
   Google Scholar
• Reddy, V. L., & Anusha, T. (2015). Combine use of steganography and visual cryptography for online payment system. International Journal of Computer Applications, 124(6), 7–11.
   Google Scholar
• Research and Markets. (2016). Global mobile payment methods: Second half 2015. Retrieved from http://www.researchandmarkets.com/reports/3621157/global-mobile-payment-methods-second-half-2015
   Google Scholar
• Ryan, P. C., Stewart, M. G., Spencer, N., & Li, Y. (2014). Reliability assessment of power pole infrastructure incorporating deterioration and network maintenance. Reliability Engineering & System Safety, 132, 261–273.
   Web of Science ®Google Scholar
• Sahoo, B., & Bhaskaran, P. K. (2018). Multi-hazard risk assessment of coastal vulnerability from tropical cyclones–A GIS based approach for the Odisha coast. Journal of Environmental Management, 206, 1166–1178.
   PubMed Web of Science ®Google Scholar
• Salman, A. M., & Li, Y. (2017). Multihazard risk assessment of electric power systems. Journal of Structural Engineering, 143(3), 1–14.
   Web of Science ®Google Scholar
• Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209–216.
   Web of Science ®Google Scholar
• Schmidt, J., Matcham, I., Reese, S., King, A., Bell, R., Henderson, R., … Heron, D. (2011). Quantitative multi-risk analysis for natural hazards: A framework for multi-risk modelling. Natural Hazards, 58(3), 1169–1192.
   Web of Science ®Google Scholar
• Smith, A. D. (2008). Online payment service providers and customer relationship management. International Journal of Electronic Finance, 2(3), 257–283.
   Google Scholar
• Souhu. (2017). Technical failure of Wechat, who protects my money and bankcard? Retrieved from http://www.sohu.com/a/166465633_188668
   Google Scholar
• Stafford, G., Yu, L., & Armoo, A. K. (2002). Crisis management and recovery how Washington, DC, hotels responded to terrorism. The Cornell Hotel and Restaurant Administration Quarterly, 43(5), 27–40.
   Google Scholar
• Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: Cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297–323.
   Web of Science ®Google Scholar
• Varnes, D. J. (1984). Landslide hazard zonation: A review of principles and practice. Paris: United Nations.
   Google Scholar
• Wang, D., Xiang, Z., Law, R., & Ki, T. P. (2016). Assessing hotel-related smartphone apps using online reviews. Journal of Hospitality Marketing & Management, 25(3), 291–313.
   Web of Science ®Google Scholar
• Wang, X., Li, X., Zhen, F., & Zhang, J. (2016). How smart is your tourist attraction? Measuring tourist preferences of smart tourism attractions via a FCEM-AHP and IPA approach. Tourism Management, 54, 309–320.
   Web of Science ®Google Scholar
• Wester, J. (2016). IDC financial insights report. Retrieved from https://www.idc.com/getdoc.jsp?containerId=FI256909
   Google Scholar
• Wong, K.-K.-K. (2011). Using cox regression to model customer time to churn in the wireless telecommunications industry. Journal of Targeting, Measurement and Analysis for Marketing, 19(1), 37–43.
   Google Scholar
• Xinhua. (2017). The habit of Chinese tourists is changing Japan. Retrieved from http://news.xinhuanet.com/world/2017-07/04/c_129647376.htm
   Google Scholar
• Yang, Q., Pang, C., Liu, L., Yen, D. C., & Tarn, J. M. (2015). Exploring consumer perceived risk and trust for online payments: An empirical study in China’s younger generation. Computers in Human Behavior, 50, 9–24.
   Web of Science ®Google Scholar
• Yang, Y., Liu, Y., Li, H., & Yu, B. (2015). Understanding perceived risks in mobile payment acceptance. Industrial Management & Data Systems, 115(2), 253–269.
   Web of Science ®Google Scholar
• YeePay. (2014). Mobile payment and travel. Retrieved from https://www.yeepay.com/marketActivity/marketResearch
   Google Scholar