An empirical examination of continuance intention of mobile payment services

Retaining users and facilitating their continuance usage are crucial for mobile payment service providers. Drawing on the information systems success model and flow theory, this research identified the factors affecting continuance intention of mobile payment. We conducted data analysis with structural equation modeling. The results indicated that service quality is the main factor affecting trust, whereas system quality is the main factor affecting satisfaction. Information quality and service quality affect flow. Trust, flow and satisfaction determine continuance intention of mobile payment. The results imply that service providers need to offer quality system, information and services in order to facilitate users' continuance usage of mobile payment. Highlights? Service quality is the main factor affecting trust. ? System quality is the main factor affecting satisfaction. ? Information quality and service quality affect flow. ? Trust, flow and satisfaction determine continuance usage of mobile payment.

[1]  D. Harrison McKnight,et al.  Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and Intention to Use , 2006, Inf. Syst. Res..

[2]  Kar Yan Tam,et al.  Understanding the behavior of mobile data services consumers , 2008, Inf. Syst. Frontiers.

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

[4]  Jamie Carlson,et al.  Examining the effects of website-induced flow in professional sporting team websites , 2010, Internet Res..

[5]  Bernd W. Wirtz,et al.  Understanding consumer acceptance of mobile payment services: An empirical analysis , 2010, Electron. Commer. Res. Appl..

[6]  I NicolaouAndreas,et al.  Perceived Information Quality in Data Exchanges , 2006 .

[7]  Chien-Wen David Chen,et al.  Understanding consumer intention in online shopping: a respecification and validation of the DeLone and McLean model , 2009, Behav. Inf. Technol..

[8]  Saonee Sarker,et al.  Examining the success factors for mobile work in healthcare: A deductive study , 2009, Decis. Support Syst..

[9]  Ardion Beldad,et al.  How shall I trust the faceless and the intangible? A literature review on the antecedents of online trust , 2010, Comput. Hum. Behav..

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

[11]  Niina Mallat,et al.  Exploring consumer adoption of mobile payments - A qualitative study , 2007, J. Strateg. Inf. Syst..

[12]  Joon Koh,et al.  A Comparison of Online Trust Building Factors between Potential Customers and Repeat Customers , 2004, J. Assoc. Inf. Syst..

[13]  Barbara H Wixom,et al.  A Theoretical Integration of User Satisfaction and Technology Acceptance , 2005, Inf. Syst. Res..

[14]  Tomi Dahlberg,et al.  Past, present and future of mobile payments research: A literature review , 2008, Electron. Commer. Res. Appl..

[15]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[16]  Yong Liu,et al.  The effect of flow experience on mobile SNS users' loyalty , 2010, Ind. Manag. Data Syst..

[17]  J. H. Davis,et al.  An Integrative Model Of Organizational Trust , 1995 .

[18]  In Lee,et al.  An empirical examination of factors influencing the intention to use mobile payment , 2010, Comput. Hum. Behav..

[19]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[20]  Jyh-Jeng Wu,et al.  Towards understanding members' interactivity, trust, and flow in online travel community , 2005, Ind. Manag. Data Syst..

[21]  Dong-Hee Shin,et al.  Modeling the Interaction of Users and Mobile Payment System: Conceptual Framework , 2010, Int. J. Hum. Comput. Interact..

[22]  Naresh K. Malhotra,et al.  Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research , 2006, Manag. Sci..

[23]  H. Raghav Rao,et al.  Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration , 2009, Inf. Syst. Res..

[24]  Izak Benbasat,et al.  A Framework for the Study of Customer Interface Design for Mobile Commerce , 2004, Int. J. Electron. Commer..

[25]  Shalini Chandra,et al.  of the Association , 2018 .

[26]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[27]  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..

[28]  Bongsik Shin,et al.  Understanding Post-adoption Usage of Mobile Data Services: The Role of Supplier-side Variables , 2009, J. Assoc. Inf. Syst..

[29]  Changsu Kim,et al.  An empirical investigation of factors affecting ubiquitous computing use and U-business value , 2009, Int. J. Inf. Manag..

[30]  Chung-Tzer Liu,et al.  he effects of relationship quality and switching barriers on customer loyalty , 2010 .

[31]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[32]  Charles J. Kacmar,et al.  Developing and Validating Trust Measures for e-Commerce: An Integrative Typology , 2002, Inf. Syst. Res..

[33]  H. Raghav Rao,et al.  A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2008, Decis. Support Syst..

[34]  Izak Benbasat,et al.  Addressing the What and How of Online Services: Positioning Supporting-Services Functionality and Service Quality for Business-to-Consumer Success , 2008, Inf. Syst. Res..

[35]  Ephraim R. McLean,et al.  Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model , 2004, Int. J. Electron. Commer..

[36]  Jaeki Song,et al.  Dynamics of Trust Revision: Using Health Infomediaries , 2008, J. Manag. Inf. Syst..

[37]  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..

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

[39]  Dennis L. Hoffman,et al.  Marketing in Hypermedia Computer-Mediated Environments : Conceptual Foundations 1 ) , 1998 .

[40]  Kun Chang Lee,et al.  Transfer From Offline Trust to Key Online Perceptions: An Empirical Study , 2007, IEEE Transactions on Engineering Management.

[41]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[42]  J. H. Davis,et al.  An integrative model of organizational trust, Academy of Management Review, : . , 1995 .

[43]  Bongsik Shin,et al.  Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes , 2010, Inf. Syst. Frontiers.

[44]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[45]  Zhaohua Deng,et al.  Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China , 2010, Int. J. Inf. Manag..

[46]  Alexander Hars,et al.  Web Based Knowledge Infrastructures for the Sciences: An Adaptive Document , 2000, Commun. Assoc. Inf. Syst..

[47]  David Gefen,et al.  Customer Loyalty in E-Commerce , 2002, J. Assoc. Inf. Syst..

[48]  Detmar W. Straub,et al.  Validation Guidelines for IS Positivist Research , 2004, Commun. Assoc. Inf. Syst..

[49]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[50]  Mark A. Fuller,et al.  Clarifying the Integration of Trust and TAM in E-Commerce Environments: Implications for Systems Design and Management , 2010, IEEE Transactions on Engineering Management.

[51]  Sonja Wiley-Patton,et al.  Consumer adoption of mobile TV: Examining psychological flow and media content , 2009, Comput. Hum. Behav..

[52]  R. Oliver.  A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[53]  Kun Chang Lee,et al.  Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean's model perspective , 2009, Interact. Comput..

[54]  Li Jiang,et al.  Trust and Electronic Government Success: An Empirical Study , 2008, J. Manag. Inf. Syst..

[55]  Jaeki Song,et al.  Trust in health infomediaries , 2007, Decis. Support Syst..

[56]  Detmar W. Straub,et al.  Examining Trust in Information Technology Artifacts: The Effects of System Quality and Culture , 2008, J. Manag. Inf. Syst..

[57]  Bongsik Shin,et al.  Erratum: Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes (Information Systems Frontiers DOI: 10.1007/s10796-009-9184-x) , 2011 .

[58]  Donna L. Hoffman,et al.  Flow Online: Lessons Learned and Future Prospects , 2009 .

[59]  Marshall Scott Poole,et al.  Antecedents of flow in online shopping: a test of alternative models , 2009, Inf. Syst. J..

[60]  A. Hausman,et al.  The effect of web interface features on consumer online purchase intentions , 2009 .

[61]  M. Csíkszentmihályi,et al.  Optimal experience: Psychological studies of flow in consciousness. , 1988 .