Switch or continue to use? An empirical investigation into mobile payment applications

키워드

참고문헌 (72)

1. Akturan, U., "Mobile banking adoption of the youth market", Marketing Intelligence & Planning, 30(4), pp.444~459 (2012)[DOI]
2. Ambrose, P., "Interpreting the impact of perceived privacy and security concerns in patients’ use of online health information systems", Journal of Information Privacy and Security, 8(1), pp.38~50 (2012)[DOI]
3. Amoroso, D. L., "Mobile commerce: Concepts, methodologies, tools, and applications", pp.960~981 (2018), IGI Global
4. Anderson, R. E., "E-satisfaction and e-loyalty : A contingency framework", Psychology & Marketing, 20(2), pp.123~138 (2003)[DOI]
5. Antón, C., "The mediating effect of satisfaction on consumers’switching intention", Psychology & Marketing, 24(6), pp.511~538 (2007)[DOI]
6. Bansal, H. S., "“Migrating” to new service providers: Toward a unifying framework of consumers’ switching behaviours", Journal of the Academy of Marketing Science, 33(1), pp.96~115 (2005)[DOI]
7. Bhattacherjee, A., "An empirical analysis of the antecedents of electronic commerce service continuance", Decision Support Systems, 32(2), pp.201~214 (2001)[DOI]
8. Chang, I. C., "The push, pull and mooring effects in virtual migration for social networking sites", Information Systems Journal, 24(4), pp.323~346 (2013)[DOI]
9. Chawla, D., "The moderating role of gender and age in the adoption of mobile wallet", Foresight, 22(4), pp.483~504 (2020)[DOI]
10. Cheng, S., "An empirical investigation of users’ voluntary switching intention for mobile personal cloud storage services based on the push-pull-mooring framework", Computers in Human Behaviour, 92, pp.198~215 (2019)[DOI]
11. Chin, W. W., "Modern methods for business research", pp.295~358 (1998), Lawrence Erlbaum Associates
12. Chong, A. Y. L., "Predicting consumer decisions to adopt mobile commerce : Cross country empirical examination between China and Malaysia", Decision Support Systems, 53(1), pp.34~43 (2012)[DOI]
13. Davis, F. D., "Perceived usefulness, perceived ease of use, and user acceptance of information technology", MIS Quarterly, 13(3), pp.319~340 (1989)[DOI]
14. Elhajjar, S., "An analysis of factors affecting mobile banking adoption", International Journal of Bank Marketing, 38(2), pp.352~367 (2020)[DOI]
15. Fornell, C., "Evaluating structural equation models with unobservable variables and measurement error", Journal of Marketing Research, 18(1), pp.39~50 (1981)[DOI]
16. Hair, J. F., "A primer on partial least squares structural equation modeling (PLS-SEM)" (2014), Sage Publications
17. Hair, J. F., "PLS-SEM : Indeed a silver bullet", Journal of Marketing Theory & Practice, 19(2), pp.139~151 (2011)[DOI]
18. Handarkho, Y. D., "Intention to adopt mobile payment in physical stores", Journal of Enterprise Information Management, 33(2), pp.285~308 (2020)[DOI]
19. Harman, H. H., "Modern factor analysis" (1976), University of Chicago press
20. Henseler, J., "New challenges to international marketing", pp.277~319 (2009), Emerald Group Publishing Limited
21. Hernández, B., "Age, gender and income: Do they really moderate online shopping behaviour?", Online Information Review, 35(1), pp.113~133 (2011)[DOI]
22. "The next wave in card payments technology in APAC" (2021)[URL]
23. Hsin Chang, H., "The moderating effect of customer perceived value on online shopping behaviour", Online Information Review, 35(3), pp.333~359 (2011)[DOI]
24. Keil, M., "A cross-cultural study on escalation of commitment behaviour in software projects", MIS Quarterly, 24(2), pp.299~325 (2000)[DOI]
25. Kim, D. J., "A trust-based consumer decision-making model in electronic commerce : The role of trust, perceived risk, and their antecedents", Decision Support Systems, 44(2), pp.544~564 (2008)[DOI]
26. Kim, G., "Understanding dynamics between initial trust and usage intentions of mobile banking", Information Systems Journal, 19(3), pp.283~311 (2009)[DOI]
27. Kukar-Kinney, M., "The role of price in the behaviour and purchase decisions of compulsive buyers", Journal of Retailing, 88(1), pp.63~71 (2012)[DOI]
28. Kuo, R. Z., "Why do people switch mobile payment service platforms? An empirical study in Taiwan", Technology in Society, 62, pp.101312~ (2020)[DOI]
29. Law, M., "Age and gender differences : Understanding mature online users with the online purchase intention model", Journal of Global Scholars of Marketing Science, 26(3), pp.248~269 (2016)[DOI]
30. Lee, S. E., "A theory of migration", Demography, 3(1), pp.47~57 (1966)[DOI]
31. Lee, H. J., "The influence of consumer traits and demographics on intention to use retail self-service checkouts", Marketing Intelligence &Planning, 28(1), pp.46~58 (2010)[DOI]
32. Lee, S. W., "Determinants of continuous intention on food delivery apps : Extending UTAUT2 with information quality", Sustainability, 11(11), pp.3141~ (2019)[DOI]
33. Léger, C., "Bootstrap technology and applications", Technometrics, 34(4), pp.378~398 (1992)[DOI]
34. Li, C. Y., "Consumer behaviour in switching between membership cards and mobile applications : The case of Starbucks", Computers in Human Behaviour, 84, pp.171~184 (2018)[DOI]
35. Liao, J., "Antecedents of smartphone brand switching : A push–pull–mooring framework", Asia Pacific Journal of Marketing & Logistics, 33(7), pp.1596~1614 (2021)[DOI]
36. Liébana-Cabanillas, F., "Examining the determinants of continuance intention to use and the moderating effect of the gender and age of users of NFC mobile payments : A multi-analytical approach", Information Technology and Management, 22, pp.133~161 (2021)
37. Lin, K. Y., "Predicting mobile social network acceptance based on mobile value and social influence", Internet Research, 25(1), pp.107~130 (2015)[DOI]
38. Lin, K. Y., "Exploring the antecedents of mobile payment service usage", Online Information Review, 44(1), pp.299~318 (2020)[DOI]
39. Liu, T. C., "The effects of inertia and switching barriers on satisfaction-retention relationship : A case of financial service industries", Journal of Management, 24(6), pp.671~687 (2007)
40. Loh, X. M., "Switching from cash to mobile payment : What’s the hold-up", Internet Research, 31(1), pp.376~399 (2020)[DOI]
41. Lowry, P. B., "Privacy concerns versus desire for interpersonal awareness in driving the use of self-disclosure technologies : The case of instant messaging in two cultures", Journal of Management Information Systems, 27(4), pp.163~200 (2011)[DOI]
42. Lu, H. P., "Applying transaction cost theory and push-pull-mooring model to investigate mobile payment switching behaviours with well-established traditional financial infrastructure", Journal of Theoretical & Applied Electronic Commerce Research, 16(2), pp.1~21 (2021)[DOI]
43. Marumbwa, J., "Exploring the moderating effects of socio-demographic variables on consumer acceptance and use of mobile money transfer services(MMTs)in Southern Zimbabwe", American Journal of Industrial and Business Management, 4(2), pp.71~79 (2014)[DOI]
44. McLean, G., "Examining consumer attitudes towards retailers’ m-commerce mobile applications – An initial adoption vs. continuous use perspective", Journal of Business Research, 106, pp.139~157 (2020)[DOI]
45. Muñoz-Leiva, F., "Determinants of intention to use the mobile banking apps : An extension of the classic TAM model", Spanish Journal of Marketing-ESIC, 21(1), pp.25~38 (2017)[DOI]
46. Ng, M., "A study of the factors influencing the viewers’satisfaction and cognitive assimilation with livestreaming commerce broadcast in Hong Kong", Electronic Commerce Research, 23(3), pp.1~26 (2022)[DOI]
47. Nunnally, J. C., "Psychometric theory" (1978), McGraw-Hill
48. Oliveira, T., "Mobile payment : Understanding the determinants of customer adoption and intention to recommend the technology", Computers in Human Behaviour, 61, pp.404~414 (2016)[DOI]
49. Palau-Saumell, R., "User acceptance of mobile apps for restaurants : An expanded and extended UTAUT-2", Sustainability, 11(4), pp.1210~ (2019)[DOI]
50. Podsakoff, P. M., "Common method biases in behavioural research : A critical review of the literature and recommended remedies", Journal of Applied Psychology, 88(5), pp.879~903 (2003)[DOI]
51. Poromatikul, C., "Drivers of continuance intention with mobile banking apps", International Journal of Bank Marketing, 38(1), pp.242~262 (2020)[DOI]
52. Putritama, A., "The mobile payment fintech continuance usage intention in Indonesia", Jurnal Economia, 15(2), pp.243~258 (2019)[DOI]
53. Sharma, S. K., "Examining the role of trust and quality dimensions in the actual usage of mobile banking services : An empirical investigation", International Journal of Information Management, 44, pp.65~75 (2019)[DOI]
54. Slade, E. L., "Modeling consumers’adoption intentions of remote mobile payments in the United Kingdom : Extending UTAUT with innovativeness, risk, and trust", Psychology & Marketing, 32(8), pp.860~873 (2015)
55. "The many faces of global mobile payments" (2022)[URL]
56. Sun, Y., "Understanding users’ switching behaviour of mobile instant messaging applications : An empirical study from the perspective of push-pull-mooring framework", Computers in Human Behaviour, 75, pp.727~738 (2017)[DOI]
57. "Mobile payments market by location, type, and geography - forecast and analysis 2023–2027" (2022)[URL]
58. Thakur, R., "Customer adoption of mobile payment services by professionals across two cities in India : An empirical study using modified technology acceptance model", Business Perspectives and Research, 1(2), pp.17~30 (2013)
59. Venkatesh, V., "User acceptance of information technology : Toward a unified view", MIS Quarterly, 27(3), pp.425~478 (2003)[DOI]
60. Venkatesh, V., "Consumer acceptance and use of information technology : Extending the unified theory of acceptance and use of technology", MIS Quarterly, 36(1), pp.157~178 (2012)[DOI]
61. "As Hong Kong goes increasingly cashless, what does it mean for marketers?" (2022)[URL]
62. Wang, L., "Easy come or easy go? Empirical evidence on switching behaviours in mobile payment applications", Information & Management, 56(7), pp.103150~ (2019)[DOI]
63. Wold, H., "Systems under indirect observation: Causality-structure-prediction Vol. 2", pp.1~54 (1982)
64. Wong, K. T., "Influence of gender and computer teaching efficacy on computer acceptance among Malaysian student teachers: An extended technology acceptance model", Australasian Journal of Educational Technology, 28(7) (2012)[DOI]
65. Xu, H., "Information privacy concerns : Linking individual perceptions with institutional privacy assurances", Journal of the Association for Information Systems, 12(12), pp.1~ (2011)[DOI]
66. Xu, Y. C., "Retaining and attracting users in social networking services : An empirical investigation of cyber migration", Journal of Strategic Information Systems, 23(3), pp.239~253 (2014)[DOI]
67. Yi, Y., "How individual differences influence technology usage behaviour? Toward an integrated framework", Journal of Computer Information Systems, 46(2), pp.52~63 (2005)
68. Yoon, C., "Customers’ intentions to switch to internet-only banks : Perspective of the push-pull-mooring model", Sustainability, 13(14), pp.8062~ (2021)[DOI]
69. Zhang, Q., "Understanding switching behaviour of mobile payment enabled transportation apps : A push-pull-mooring perspective", Issues in Information Systems, 22(1), pp.124~135 (2021)
70. Zhao, L., "Disclosure intention of location-related information in location-based social network services", International Journal of Electronic Commerce, 16(4), pp.53~90 (2012)[DOI]
71. Zheng, J., "A strategic case for e-adoption in healthcare supply chains", International Journal of Information Management, 26(4), pp.290~301 (2006)[DOI]
72. Zhou, T., "Examining user switch between mobile stores", Information Resources Management Journal, 29(2), pp.1~13 (2016)[DOI]

관련 논문AI추천