Building a Research Model for Mobile Wallet Consumer Adoption: The Case of Mobile Suica in Japan

The growth of mobile commerce, or the purchase of services or goods using mobile technology, heavily depends on the availability, reliability, and acceptance of mobile wallet systems. Although several researchers have attempted to create models on the acceptance of such mobile payment systems, no single comprehensive framework has yet emerged. Based upon a broad literature review of mobile technology adoption, a comprehensive model integrating eleven key consumer-related variables affecting the adoption of mobile payment systems is proposed. This model, based on established theoretical underpinnings originally established in the technology acceptance literature, extends existing frameworks by including attractiveness of alternatives and by proposing relationships between the key constructs. Japan is at the forefront of such technology and a number of domestic companies have been effectively developing and marketing mobile wallets for some time. Using this proposed framework, we present the case of the successful adoption of Mobile Suica in Japan, which can serve as a model for the rapid diffusion of such payment systems for other countries where adoption has been unexpectedly slow.

[1]  Hairong Li,et al.  Consumer Privacy Concerns and Preference for Degree of Regulatory Control , 2009 .

[2]  D. Gefen,et al.  Consumer trust in B2C e-Commerce and the importance of social presence: experiments in e-Products and e-Services , 2004 .

[3]  June Lu,et al.  Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology , 2005, J. Strateg. Inf. Syst..

[4]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[5]  Uchenna Cyril Eze,et al.  An Empirical Analysis of Consumer Behavioural Intention Towards Mobile Coupons in Malaysia , 2009 .

[6]  V. Zeithaml Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence: , 1988 .

[7]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[8]  Bernadette Szajna,et al.  Software Evaluation and Choice: Predictive Validation of the Technology Acceptance Instrument , 1994, MIS Q..

[9]  Donald J. Shemwell,et al.  A cross-sectional test of the effect and conceptualization of service value , 1997 .

[10]  Lei-da Chen,et al.  Enticing online consumers: an extended technology acceptance perspective , 2002, Inf. Manag..

[11]  George Rigopoulos,et al.  A TAM Framework to Evaluate Usersâ Perception towards OnlineElectronic Payments , 2007 .

[12]  Paul A. Pavlou,et al.  Understanding and Mitigating Uncertainty in Online Exchange Relationships: A Principal-Agent Perspective , 2007, MIS Q..

[13]  David L. Mothersbaugh,et al.  Switching barriers and repurchase intentions in services , 2000 .

[14]  Paul A. Pavlou,et al.  Building Effective Online Marketplaces with Institution-Based Trust , 2004, Inf. Syst. Res..

[15]  V. Tuunainen,et al.  Exploring Merchant Adoption of Mobile Payment Systems: An Empirical Study , 2008 .

[16]  Sirkka L. Jarvenpaa,et al.  Consumer Trust in an Internet Store: A Cross-Cultural Validation , 2006, J. Comput. Mediat. Commun..

[17]  Donald L. Amoroso,et al.  Measuring the Acceptance of Internet Technology by Consumers , 2009, Int. J. E Adopt..

[18]  Zhaohua Deng,et al.  Exploring user adoption of mobile banking: an empirical study in China , 2010, Int. J. Inf. Technol. Manag..

[19]  R. Zmud,et al.  Information technology implementation research: a technological diffusion approach , 1990 .

[20]  Heikki Karjaluoto,et al.  Consumer acceptance of online banking: an extension of the technology acceptance model , 2004, Internet Res..

[21]  Leo Van Hove,et al.  Electronic Purses in Euroland: Why do Penetration and Usage Rates differ? , 2004 .

[22]  Marcel Creemers,et al.  Understanding online purchase intentions: contributions from technology and trust perspectives , 2003, Eur. J. Inf. Syst..

[23]  John Leubsdorf,et al.  Privacy and Freedom , 1968 .

[24]  Patrick Y. K. Chau,et al.  An Empirical Assessment of a Modified Technology Acceptance Model , 1996, J. Manag. Inf. Syst..

[25]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[26]  Fang He,et al.  Decision Factors for the Adoption of an Online Payment System by Customers , 2007, Int. J. E Bus. Res..

[27]  P. Pavlou,et al.  An Integrative Model of Mobile Commerce Adoption , 2007 .

[28]  R. Keeney,et al.  The Value of Internet Commerce to the Customer , 1999 .

[29]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .

[30]  Zouhaïer M'Chirgui,et al.  The adoption and use of smart card technology in banking : an empirical evidence from the Moneo electronic purse in France , 2007 .

[31]  H. Zandhessami,et al.  Determinants of user acceptance of internet banking: An empirical study , 2014 .

[32]  Dietmar G. Wiedemann,et al.  What Influences Consumers ’ Intention to Use Mobile Payments ? , 2007 .

[33]  Marios Koufaris,et al.  Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior , 2002, Inf. Syst. Res..

[34]  Paul A. Pavlou,et al.  Predicting E-Services Adoption: A Perceived Risk Facets Perspective , 2002, Int. J. Hum. Comput. Stud..

[35]  Emelie Andrén Meiton,et al.  Contactless Mobile Payments entering Europe : The contactless mobile payment ecosystem and potential on the European market , 2011 .

[36]  Susan R. Rhodes Age-Related Differences in Work Attitudes and Behavior: A Review and Conceptual Analysis , 1983 .

[37]  R. Rosenfeld Belief , 2012, Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery.

[38]  Robert J. Kauffman,et al.  The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application , 2008, Electron. Commer. Res. Appl..

[39]  Heshan Sun,et al.  A methodological analysis of user technology acceptance , 2004, 37th Annual Hawaii International Conference on System Sciences, 2004. Proceedings of the.

[40]  Lei da Chen,et al.  A model of consumer acceptance of mobile payment , 2008, Int. J. Mob. Commun..

[41]  Christer Carlsson,et al.  Adoption of Mobile Devices/Services — Searching for Answers with the UTAUT , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[42]  George Rigopoulos,et al.  Journal of Internet Banking and Commerce a Tam Framework to Evaluate Users' Perception towards Online Electronic Payments , 2022 .

[43]  Jane M. Carey,et al.  Cultural Aspects for Technology Acceptance: Asian Perspectives and Research Techniques , 2005, AMCIS.

[44]  Gavriel Salvendy,et al.  Perceived security determinants in e-commerce among Turkish university students , 2005, Behav. Inf. Technol..

[45]  Wei-Jaw Deng,et al.  The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services , 2009, Comput. Hum. Behav..

[46]  Hitoshi Ieda,et al.  How can the quality of rail services in Tokyo be further improved , 2001 .

[47]  Humayun Zafar,et al.  A Multi-Country Assessment of Mobile Payment Adoption , 2008 .

[48]  ThaeMin Lee,et al.  THE IMPACT OF PERCEPTIONS OF INTERACTIVITY ON CUSTOMER TRUST AND TRANSACTION INTENTIONS IN MOBILE COMMERCE , 2005 .

[49]  Marion Mbogo The Impact of Mobile Payments on the Success and Growth of Micro-Business: The Case of M-Pesa in Kenya , 2010 .

[50]  Yi-Shun Wang,et al.  An examination of the determinants of customer loyalty in mobile commerce contexts , 2006, Inf. Manag..

[51]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[52]  Donald L. Amoroso,et al.  Understanding Consumers' Acceptance of Online Purchasing , 2009 .

[53]  이훈,et al.  지각된 유용성(Perceived Usefulness)의 영향분석 , 2004 .

[54]  H. Triandis Attitude and attitude change , 1971 .

[55]  Donald L. Amoroso,et al.  Analysis of the Factors that Influence Online Purchasing , 2009 .

[56]  Dong-Hee Shin,et al.  Towards an understanding of the consumer acceptance of mobile wallet , 2009, Comput. Hum. Behav..

[57]  Sumeet Gupta,et al.  Value-based Adoption of Mobile Internet: An empirical investigation , 2007, Decis. Support Syst..

[58]  Supriya Singh,et al.  Electronic money: understanding its use to increase the effectiveness of policy , 1999 .

[59]  Fred D. Davis User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[60]  Ingoo Han,et al.  The Impact of Customer Trust and Perception of Security Control on the Acceptance of Electronic Commerce , 2003, Int. J. Electron. Commer..

[61]  V. Venkatesh,et al.  AGE DIFFERENCES IN TECHNOLOGY ADOPTION DECISIONS: IMPLICATIONS FOR A CHANGING WORK FORCE , 2000 .

[62]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[63]  Jen-Her Wu,et al.  What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model , 2005, Inf. Manag..

[64]  Xin Luo,et al.  Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services , 2010, Decis. Support Syst..

[65]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[66]  J. J. Cronin,et al.  Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments , 2000 .