Consumer Adoption of Offline M-Payment: The Chinese Case
0
조회
0
다운로드
4
인용
0
참고문헌
키워드
초록
Purpose: Understanding consumers’ preferences and reasons for adopting new particular technology is crucial to provide the available services that create value for stakeholders and consumers. This study researched offline m-payment adoption in the Chinese market based on consumers’ point of view. It aims to investigate (1) which key factors determine whether consumers will adopt and use offline m-payments in the Chinese market’s context, and (2) whether the individual traits have any moderating effects on consumers’ intentions to adopt offline m-payments. Design/methodology/approach: An empirical research on determinants for offline m-payment adoption has been conducted. The direct influences of the factors determining offline m-payment adoption are explored with an integrated model based on TAM model, the most widely implemented model of user acceptance and utilization of information technology in scientific and technical literature. Perceived usefulness, perceived enjoyment, and habit were used as independent variables. Two important individual traits (self-efficacy and self-expression) were used as moderating variables. Additionally, the perceived ubiquity of consumers, a unique attribute of m-payments, was used as a mediating variable. Findings: Perceived usefulness, perceived enjoyment, and habit all were found to have a positive effect on behavioral intention. Self-efficacy doesn’t moderate the effect consumer’s perception of usefulness has on use intention but has a negative moderating effect on the relationship between perceived enjoyment and behavioral intention, as well as between habit and behavioral intention. Additionally, the current study shows that self-expression has no moderating effect on the process of adoption. Finally, the analysis showed that perceived ubiquity is a mediating variable in the relationships between perceived usefulness and behavioral intention and perceived enjoyment and behavioral intention. Third, it may be useful to integrate promotions and targeted ads from merchants. Research limitations/implications: First implication is that because perceived usefulness and perceived enjoyment positively affect consumers’ behavioral intentions to use offline m-payment, service providers should improve the adoption and retention rate by enhancing those perceptions. Second, since perceived ubiquity was found to mediate influence of consumers’ perceived usefulness and perceived enjoyment on behavioral intention to use offline m-payments, service providers and retailers should present ubiquitous payment services to consumers, and make consumers realize that by using offline m-payment they can conduct transactions from anywhere at any time by any mobile device. This study has several limitations. First, the research has targeted only offline m-payment adopters. It would be useful to check how factors differ in their importance for adopters and non-adopters. Second, the paper explored the determining factors of offline m-payment adoption only in China. Compare several market ecosystems for better understanding of the differences in characteristics may be useful. Third, the process of adoption may vary depending on which technology was applied. Also, the technical capabilities and preferences of businesses while adopting offline m-payment methods are some of the important factors. Originality/value: The study contributes to the body of research on adoption of new technologies, and specifically mobile services. From a managerial standpoint, it provides new entrants and service providers with a better understanding of Chinese customers’ needs and wants from offline m-payment services.
Abstract
Purpose: Understanding consumers’ preferences and reasons for adopting new particular technology is crucial to provide the available services that create value for stakeholders and consumers. This study researched offline m-payment adoption in the Chinese market based on consumers’ point of view. It aims to investigate (1) which key factors determine whether consumers will adopt and use offline m-payments in the Chinese market’s context, and (2) whether the individual traits have any moderating effects on consumers’ intentions to adopt offline m-payments. Design/methodology/approach: An empirical research on determinants for offline m-payment adoption has been conducted. The direct influences of the factors determining offline m-payment adoption are explored with an integrated model based on TAM model, the most widely implemented model of user acceptance and utilization of information technology in scientific and technical literature. Perceived usefulness, perceived enjoyment, and habit were used as independent variables. Two important individual traits (self-efficacy and self-expression) were used as moderating variables. Additionally, the perceived ubiquity of consumers, a unique attribute of m-payments, was used as a mediating variable. Findings: Perceived usefulness, perceived enjoyment, and habit all were found to have a positive effect on behavioral intention. Self-efficacy doesn’t moderate the effect consumer’s perception of usefulness has on use intention but has a negative moderating effect on the relationship between perceived enjoyment and behavioral intention, as well as between habit and behavioral intention. Additionally, the current study shows that self-expression has no moderating effect on the process of adoption. Finally, the analysis showed that perceived ubiquity is a mediating variable in the relationships between perceived usefulness and behavioral intention and perceived enjoyment and behavioral intention. Third, it may be useful to integrate promotions and targeted ads from merchants. Research limitations/implications: First implication is that because perceived usefulness and perceived enjoyment positively affect consumers’ behavioral intentions to use offline m-payment, service providers should improve the adoption and retention rate by enhancing those perceptions. Second, since perceived ubiquity was found to mediate influence of consumers’ perceived usefulness and perceived enjoyment on behavioral intention to use offline m-payments, service providers and retailers should present ubiquitous payment services to consumers, and make consumers realize that by using offline m-payment they can conduct transactions from anywhere at any time by any mobile device. This study has several limitations. First, the research has targeted only offline m-payment adopters. It would be useful to check how factors differ in their importance for adopters and non-adopters. Second, the paper explored the determining factors of offline m-payment adoption only in China. Compare several market ecosystems for better understanding of the differences in characteristics may be useful. Third, the process of adoption may vary depending on which technology was applied. Also, the technical capabilities and preferences of businesses while adopting offline m-payment methods are some of the important factors. Originality/value: The study contributes to the body of research on adoption of new technologies, and specifically mobile services. From a managerial standpoint, it provides new entrants and service providers with a better understanding of Chinese customers’ needs and wants from offline m-payment services.
참고문헌 (114)
- Aliakbari, F. H., "A Comparison between Self-Efficacy and Creativity of Students in Ordinary and Smart Schools", Journal of Educational and Management Studies, 5(1), pp.92~97 (2015)
- Amoroso, D. L., "Building a Research Model for Mobile Wallet Consumer Adoption : the Case of Mobile Suica in Japan", Journal of Theoretical and Applied Electronic Commerce Research, 7(1), pp.94~110 (2012)
- Anand, B. N., "Brands as Beacons:A New Source of Loyalty to Multiproduct Firms", Journal of Marketing Research, 41, pp.135~150 (2004)
- Andreev, P., "Drivers and Inhibitors of Mobile Payment Adoption by Smartphone Users", International Journal of E-Business Research, 8(3), pp.50~67 (2012)
- Ajzen, I., "Understanding Attitudes and Predicting Social Behavior" (1980), Prentice-Hall
- Ajzen, I., "The Theory of Planned Behavior", Organizational Behavior and Human Decision Processes, 50(2), pp.179~211 (1991)
- Aydin, G., "Adoption of Mobile Payment Systems: A Study on Mobile Wallets", Journal of Business, Economics and Finance (JBEF), 5(1), pp.73~92 (2016)
- Bandura, A., "Self-Efficacy : Toward a Unifying Theory of Behavioral Change", Psychological Review, 84(2), pp.191~215 (1977)
- Bandura, A., "Self-efficacy mechanism in human agency", American Psychologist, 37(2), pp.122~147 (1982)
- Bandura, A., "Social foundations of thought and action: a social cognitive theory" (1986), Prentice-Hall
- Bandura, A., "Effect of Perceived Controllability and Performance Standards on Self-Regulation of Complex Decision Making", Journal of Personality and Social Psychology, 56(5), pp.805~814 (1989)
- Belk, R. W., "Possessions And the Extended Self", Journal of Consumer Research, 15(2), pp.139~168 (1988)
- Benbasat, I., "Quo vadis TAM?", Journal of the Association for Information Systems, 8(4), pp.212~218 (2007)
- Boyd, N. G., "The Influence of Self-Efficacy on the Development of Entrepreneurial Intentions and Actions", Entrepreneurship Theory and Practice, 18(4), pp.64~77 (1994)
- Carillo, K. D. A., "The role of media dependency in predicting continuance intention to use ubiquitous media systems", Information & Management, 54(3), pp.317~335 (2017)
- Cheung, R., "Predicting user acceptance of collaborative technologies : An extension of the technology acceptance model for e-learning", Computers & Education, 63, pp.160~175 (2013)
- Chandra, S., "Evaluating the Role of Trust in Consumer Adoption of Mobile Payment Systems : An Empirical Analysis", Communications of the Association for Information Systems, 27(29), pp.561~588 (2010)
- Cheng, Y. -H., "High Speed Rail Passengers’ Mobile Ticketing Adoption", Transportation Research Part C Emerging Technologies, 30, pp.143~160 (2013)
- Dahlberg, T., "Past, present and future of mobile payments research : A literature review", Electronic Commerce Research and Applications, 7(2), pp.165~181 (2008)
- Dahlberg, T., "A critical review of mobile payment research", Electronic Commerce Research and Applications, 14(5), pp.265~284 (2015)
- Davis, F. D., "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, 13, pp.319~340 (1989)
- Davis, F. D., "User acceptance of computer technology : a comparison of two theoretical models", Management Science, 35(8), pp.982~1003 (1989)
- Davis, F. D., "Extrinsic and intrinsic motivation to use computers in the workplace", Journal of Applied Social Psychology, 22(14), pp.1111~1132 (1992)
- Davis, M., "A Framework for Relating Waiting Time and Customer Satisfaction in a Service Operation", Journal of Services Marketing, 4(1), pp.61~69 (1990)
- "Payment methods in China: How China became a mobile-first nation" (2019)[URL]
- "Mobile internet user penetration in APAC 2018-2025" (2019)[URL]
- Gu, J. C., "Determinants of behavioral intention to mobile banking", Expert Systems with Applications, 36(9), pp.11605~11616 (2009)
- Eze, C. U., "Modeling User Trust and Mobile Payment Adoption : A Conceptual Framework", Communications of the IBIMA, 3, pp.224~231 (2008)
- Fishbein, M., "Readings in attitude theory and measurement", pp.389~400 (1967), John Wiley & Sons
- Fishbein, M., "Belief, attitude, intention, and behavior: An introduction to theory and research" (1975), Addison-Wesley
- Gist, M. E., "Self-Efficacy : A Theoretical Analysis of Its Determinants and Malleability", Academy of Management Review, 17(2), pp.183~211 (1992)
- Gardner, B., "A review and analysis of the use of"habit"in understanding, predicting and influencing health-related behavior", Health Psychology Review, 9(3), pp.277~295 (2015)
- Gehrt, K. C., "The emergence of internet shopping in Japan : identification of shopping orientation-defined segment", Journal of Marketing Theory and Practice, 15(2), pp.167~177 (2007)
- Goeke, L., "A Scenario-Based Analysis of Mobile Payment Acceptance", Proceedings of the 2010Ninth International Conference on Mobile Business, 2010 (2010), 371~378
- Goh, T. -T., "Exploring Gender Differences in Islamic Mobile Banking Acceptance", Electronic Commerce Research, 14(4), pp.435~458 (2014)
- Goldgehn, L., "Generation who, what, Y? What you need to know about Generation Y", International Journal of Educational Advancement, 5(1), pp.24~34 (2004)
- "The Mobile Economy Asia Pacific 2018" (2018)[URL]
- "The Mobile Economy China 2019" (2019)[URL]
- Haider, M. J., "Exploring Gender Effects in Intention to Islamic Mobile Banking Adoption : an empirical study", Arab Economic and Business Journal, 13(1), pp.25~38 (2018)
- Heijden, H., "User Acceptance of Hedonic Information Systems", MIS Quarterly, 28(4), pp.695~704 (2004)
- Hair, J. F., "Multivariate data analysis" (2009), Pearson Prentice Hall
- Initial Teacher Education for Inclusion: Final Report to the National Council for Special Education, "Hick P.", UCC, ~, pp.Research report No. 27 (2019)
- Hong, S. -J., "Mobile Data Service Fuels the Desire for Uniqueness, Privacy and security in highly dynamic systems", Communication of the ACM, 49(9), pp.89~94 (2006)
- Hu, H, "The Chinese Concepts of"Face"", American Anthropologist, 46(1), pp.45~64 (1944)
- Irani, Z., "Understanding consumer adoption of broadband : an extension of the technology acceptance model", Journal of the Operational Research Society, 60, pp.1322~1334 (2009)
- Jaradat, M. -I. R. M., "Investigating the Moderating Effects of Gender and Self-Efficacy in the Context of Mobile Payment Adoption : A Developing Country Perspective", International Journal of Business and Management, 9(11), pp.147~169 (2014)
- Johnson, M., "The impact of outcome, competency and affect on service referral", Journal of Services Marketing, 12(5), pp.397~415 (1998)
- Johnson, C., "Being Hedonic and Becoming Prudent", Advances in Consumer Research, 35, pp.957~957 (2008)
- Keramati, A., "A Combinative Model of Behavioral and Technological Factors Affecting Mobile Payment Services Adoption : An Emprical Study", Service Industires Journal, 32(9), pp.1489~1504 (2012)
- Kim, C., "An Empirical Examination of Factors Influencing the Intention to Use Mobile Payment", Computers in Human Behavior, 26(3), pp.310~322 (2010)
- Kim, S., "Investigating Mobile Wireless Technology Adoption : An Extension of the Technology Acceptance Model", Information Systems Frontiers, 11(3), pp.323~333 (2009)
- Kim, S. S., "A Longitudinal Model of Continued IS Use : An Integrative View of Four Mechanisms Underlying Post-Adoption Phenomena", Management Science, 51(5), pp.741~755 (2005)
- Kim, S. S., "Two Competing Perspectives on Automatic Use : A Theoretical and Empirical Comparison", Information Systems Research, 16(4), pp.418~432 (2005)
- Khalifa, I. B., "Application of sericin to modify textile supports", Journal of the Textile Institute, 103(4), pp.370~377 (2012)
- Khraim, H. S., "Factors affecting Jordanian consumers’ adoption of mobile banking services", International Journal of Business and Social Science, 2(20), pp.96~105 (2011)
- Kleijnen, M., "An Assessment of Value Creation in Mobile Service Delivery and the Moderating Role of Time Consciousness", Journal of Retailing, 83(1), pp.33~46 (2007)
- Kline, R. B., "Principles and practice of structural equation modeling" (2005), Guilford Press
- Kokkoris, M. D., "More than Just an Opinion : The Effect of Verbal Self-Expression on Consumer Choice", Psychology and Marketing, 30(12), pp.1062~1075 (2013)
- Lai, P. C., "The Literature Review of Technology Adoption Models and Theories for the Novelty Technology", Journal of Information Systems and Technology Management, 14(1), pp.21~38 (2017)
- Lai, P. C., "Single Platform E-Payment System Consumers’ Intention to Use", Journal of Information Technology Management, 29(2), pp.22~28 (2018)
- Laver, K., "Measuring technology self efficacy : Reliability and construct validity of a modified computer self efficacy scale in a clinical rehabilitation setting", Disability and rehabilitation, 34, pp.220~227 (2011)
- Lee, C. H., "Analyzing key determinants of online repurchase intentions", Asia Pacific Journal of Marketing and Logistics, 23(2), pp.200~221 (2011)
- Li, J., "Empirical study of influence factors of adaption intention of mobile payment based on TAM model in China", International Journal of U & E-Service, Science & Technology, 7(1), pp.119~132 (2014)
- Liang, T. -P., "Effect o f use contex ts on the continuous use of mobile services : The case of mobile games", Personal and Ubiquitous Computing, 15(2), pp.187~196 (2011)
- Limayem, M., "How Habit Limits the Predictive Power of Intention : The Case of Information Systems Continuance", MIS Quarterly, 31(4), pp.705~737 (2007)
- Lin, C. -P., "Extending technology usage models to interactive hedonic technologies : A theoretical model and empirical test", Information Systems Journal, 20(2), pp.163~181 (2010)
- Liu-Thompkins, Y., "Not All Repeat Customers Are the Same: Designing Effective Cross-Selling Promotion on the Basis of Attitudinal Loyalty and Habit", Journal of Marketing, 77, pp.21~36 (2013)
- Lu, Y., "Dynamics between the Trust Transfer Process and Intention to Use Mobile Payment Services : A cross-environment perspective", Information & Management, 48(8), pp.393~403 (2011)
- Luna, I. R., "Mobile payment is not all the same : The adoption of mobile payment systems depending on the technology applied", Technological Forecasting and Social Change, 146, pp.931~944 (2019)
- Mahran, A., "Expolaring Determinants Influencing the Intention to Use Mobile Payment Service", International Journal of Customer Relationship Marketing and Management, 2(4), pp.17~37 (2011)
- Mallat, N., "Exploring consumer adoption of mobile payments-A qualitative study", The Journal of Strategic Information Systems, 16(4), pp.413~432 (2007)
- Mallat, N., "The Impact of Use Context on Mobile Services Acceptance : The Case of Mobile Ticketing", Information & Management, 46(3), pp.190~195 (2009)
- Miao, M., "Mobile payments in Japan, South Korea and China: Cross-border Convergence or Divergence of Business Models?", Telecommunications Policy, 40(2-3), pp.182~196 (2016)
- Migdał-Najman, K., "The GNG neural network in analyzing consumer behaviour patterns: empirical research on a purchasing behaviour processes realized by the elderly consumers", Advances in Data Analysis Classification, 14, pp.947~982 (2020)
- Mittal, B., "A Study of the Concept of Affective Choice Mode for Consumer Decisions", Advances in Consumer Research, 21, pp.256~263 (1994)
- "Mobile internet users in APAC 2017-2025" (2021)[URL]
- Motaghian, H., "Factors affecting university instructors' adoption of web-based learning systems : Case study of Iran", Computers & Education, 61(1), pp.158~167 (2013)
- Neal, D. T., "Habits—A Repeat Performance", Current Directions in Psychological Science, 15(4), pp.198~202 (2006)
- Nilsen, P., "Creatures of habit : accounting for the role of habit in implementation research on clinical behaviour change", Implementation Science, 7(53), pp.1~6 (2012)
- Nysveen, H., "Mobilizing the Brand : The Effects of Mobile Services on Brand Relationships and Main Channel Use", Journal of Service Research, 7(3), pp.257~276 (2005)
- Okazaki, S., "Perceived Ubiquity in Mobile Services", Journal of Interactive Marketing, 27(2), pp.98~111 (2013)
- Okazaki, S., "Mobile Advertising Avoidance : Exploring the Role of Ubiquity", Electron Markets, 22(3), pp.169~183 (2012)
- Peng, H., "Drivers and Barriers in the Acceptance of Mobile Payment in China", Communications in Information Science and Management Engineering, 1(5), pp.73~78 (2011)
- Preacher, K. J., "Addressing Moderated Mediation Hypotheses : Theory, Methods, and Prescriptions", Multivariate Behavioral Research, 42(1), pp.185~227 (2007)
- Prentice, D. A., "Psychological Correspondence of Possessions, Attitudes and Values", Journal of Personality and Social Psychology, 53(6), pp.993~1003 (1987)
- "They say they want a revolution: Total Retail 2016" (2016)[URL]
- Nawaz, A., "Impacts of Self-Efficacy on Organizational Commitment of Academicians", Information and Knowledge Management, 6(1), pp.36~42 (2016)
- Rogers, E. M., "Diffusion of innovations" (2003), Free Press
- Püschel, J., "Mobile banking : Proposition of an integrated adoption intention framework", International Journal of Bank Marketing, 28(5), pp.389~409 (2010)
- Saenger, C., "Consumption-Focused Self-Expression Word of Mouth : A New Scale and Its Role in Consumer Research", Psychology and Marketing, 30(11), pp.959~970 (2013)
- Schierz, P. G., "Understanding Consumer Acceptance of Mobile Payment Services : An Empirical Analysis", Electronic Commerce Research and Applications, 9(3), pp.209~216 (2010)
- Shah, D., "Managing Customer Profits : The Power of Habits", Journal of Marketing Research, 51(6), pp.726~741 (2014)
- Sheng, H., "An Experimental Study on Ubiquitous commerce Adoption : Impact of Personalization and Privacy Concerns", Journal of the Association for Information Systems, 9(6), pp.344~376 (2008)
- Shiau, W. -L., "Continuance Intention of Blog Users : the Impact of Perceived Enjoyment, Habit, User Involvement and Blogging Time", Behaviour &Information Technology, 32(6), pp.570~583 (2012)
- Slade, E. L., "Mobile payment adoption : Classification and review of the extant literature", The Marketing Review, 13(2), pp.167~190 (2013)
- Snyder, C. J., "Positive Psychology: The Scientific and Practical Explorations of Human Strengths" (2014), Sage
- Suls, J., "Social Psychological Foundations of Health and Illness" (2003), Blackwell Publishing
- Sun, H., "The Role of Moderating Factors in User Technology Acceptance", International Journal of Human-Computer Studies, 64(2), pp.53~78 (2006)
- Taherdoost, H., "A review of technology acceptance and adoption models and theories", Procedia Manufacturing, 22, pp.960~967 (2018)
- Thorbjørnsen, H., "This is who I am”: Identity expressiveness and the theory of planned behavior", Psychology and Marketing, 24(9), pp.763~785 (2007)
- van der Bijl, J. J., "Self-efficacy in nursing: Research and measurement perspectives", pp.9~25 (2002), Springer Publishing Company
- Venkatesh, V., "User Acceptance of Information Technology : Toward a Unified View", MIS quarterly, 27(3), pp.425~478 (2003)
- 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)
- Watson, R. T., "U-commerce : expanding the universe of marketing", Journal of the Academy of Marketing Science, 30(4), pp.333~347 (2002)
- Wood, W., "Social Cognitive Theory of Organizational Management", The Academy of Management Review, 14(3), pp.361~384 (1989)
- Wood, W., "The Habitual Consumer", Journal of Consumer Psychology, 19, pp.579~592 (2009)
- Xin, H., "Exploring the Influence of Trust on Mobile Payment Adoption", Proceedings of the PACIS 2013 (2013)
- Yan, H., "Examining Mobile Payment User Adoption from the Perspective of Trust. International Journal of u- and e-Service", Science and Technology, 8(1), pp.117~130 (2015)
- Yang, S., "Mobile payment services adoption across time : Anempirical study of the effects of behavioral beliefs, social influences, and personal traits", Computers in Human Behavior, 28(1), pp.129~142 (2012)
- anga, A., "Exploring culture factors affecting the adoption of mobile payment", 2011 10th International Conference on Mobile Business, pp.263~267 (2011), IEEE
- Zhong, J., "Exploring consumer adoption of mobile payments in China", Proceedings of International Conference on Making Sense of Converging Media, pp.318~325 (2013)
- Zhou, T., "An empirical examination of continuance intention of mobile payment services", Decision Support Systems, 54(2), pp.1085~1091 (2013)
- Zhou, T., "An Empirical Examination of Initial Trust in Mobile Payment", Wireless Personal Communications, 77(2), pp.1519~1531 (2014)
- Zhou, Y., "How Does the Pandemic Facilitate Mobile Payment? An Investigation on Users’Perspective under the COVID-19 Pandemic", International Journal of Environmental Research and Public Health, 18(3), pp.1016~1038 (2021)
