Determining the antecedents of mobile payment loyalty: Cognitive and affective perspectives

Abstract Retention of existing users is a crucial issue for mobile payment (m-payment) service providers. To determine the antecedents of m-payment loyalty, we developed a research model based on the Information System Success Model and the Stimuli-Organism-Response (SOR) framework, incorporating concepts of overall quality (information, service, and system quality), satisfaction, trust, and intimacy from both cognitive and affective perspectives. Empirical data were gathered from users who had prior m-payment experience, and the valid responses were used for analysis. The results show that m-payment loyalty is predicted directly by satisfaction and intimacy, and that intimacy, an accumulatively affective factor, is affected by trust. Satisfaction and trust, in turn, are determined by overall quality. Together, these results suggest that m-payment service providers should not only develop high-quality and technologically sophisticated products, but also value users’ emotions as the important resource in strategic management.

[1]  Ana Cuic Tankovic,et al.  The perception of e-servicescape and its influence on perceived e-shopping value and customer loyalty , 2018, Online Inf. Rev..

[2]  Edward Shih-Tse Wang,et al.  Information quality, online community and trust: a study of antecedents to shoppers' website loyalty , 2009 .

[3]  Joseph P. Stokes,et al.  Relation of Verbal, Affective, and Physical Intimacy to Marital Satisfaction. , 1983 .

[4]  Miyoung Jeong,et al.  Customers’ perceived website service quality and its effects on e-loyalty , 2017 .

[5]  Shuiqing Yang,et al.  Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective , 2011, Inf. Manag..

[6]  Adebowale I. Ojo,et al.  Validation of the DeLone and McLean Information Systems Success Model , 2017, Healthcare informatics research.

[7]  Emad Abu-Shanab,et al.  Drivers of mobile payment acceptance: The impact of network externalities , 2015, Information Systems Frontiers.

[8]  L. Harris,et al.  The role of intimacy in service relationships: an exploration , 2010 .

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

[10]  Qian Huang,et al.  The role of website quality and social capital in building buyers' loyalty , 2017, Int. J. Inf. Manag..

[11]  Maria Madlberger,et al.  The role of atmospheric cues in online impulse-buying behavior , 2013, Electron. Commer. Res. Appl..

[12]  Manuela Aparicio,et al.  Grit in the path to e-learning success , 2017, Comput. Hum. Behav..

[13]  Rakhi Thakur,et al.  The role of self-efficacy and customer satisfaction in driving loyalty to the mobile shopping application , 2018 .

[14]  H. Mano.  Emotion and Consumption: Perspectives and Issues , 2004 .

[15]  Charles Jebarajakirthy,et al.  The effects of service quality on internet service provider customers’ behaviour: A mixed methods study , 2016 .

[16]  Robert J. Sternberg,et al.  Construct validation of a triangular love scale , 1997 .

[17]  Dennis A. Bagarozzi,et al.  MARITAL INTIMACY NEEDS QUESTIONNAIRE: PRELIMINARY REPORT , 1997 .

[18]  Lingling Gao,et al.  Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation , 2015, Information Systems Frontiers.

[19]  Yuan Liu,et al.  A usability-centred perspective on intention to use mobile payment , 2011, Int. J. Mob. Commun..

[20]  T. C. Edwin Cheng,et al.  Enhancing customer loyalty to mobile instant messaging: Perspectives of network effect and self-determination theories , 2018, Telematics Informatics.

[21]  Kamel Rouibah,et al.  The Effects of Perceived Enjoyment and Perceived Risks on Trust Formation and Intentions to Use Online Payment Systems: New Perspectives from an Arab Country , 2016, Electron. Commer. Res. Appl..

[22]  Aniruddha Banerjee,et al.  E-commerce transactions, the installed base of credit cards, and the potential mobile E-commerce adoption , 2017 .

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

[24]  Shan Liu,et al.  Social capital, motivations, and mobile coupon sharing , 2016, Ind. Manag. Data Syst..

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

[26]  Tomi Dahlberg,et al.  A critical review of mobile payment research , 2015, Electron. Commer. Res. Appl..

[27]  Chia-Chen Chen,et al.  What drives impulse buying behaviors in a mobile auction? The perspective of the Stimulus-Organism-Response model , 2018, Telematics Informatics.

[28]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[29]  Tiago Oliveira,et al.  Understanding mobile banking individual performance: The DeLone & McLean model and the moderating effects of individual culture , 2017, Internet Res..

[30]  Sheila Hsuan-Yu Hsu,et al.  Why do people switch mobile platforms? The moderating role of habit , 2017, Internet Res..

[31]  Qian Huang,et al.  Understanding buyers' loyalty to a C2C platform: the roles of social capital, satisfaction and perceived effectiveness of e‐commerce institutional mechanisms , 2017, Inf. Syst. J..

[32]  Gökhan Daghan,et al.  Modeling the continuance usage intention of online learning environments , 2016, Comput. Hum. Behav..

[33]  Chris Ryan,et al.  Destination image, romance and place experience—an application of intimacy theory in tourism , 2005 .

[34]  Qinghua Zhu,et al.  Investigating user switching intention for mobile instant messaging application: Taking WeChat as an example , 2016, Comput. Hum. Behav..

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

[36]  Hossein Mohammadi,et al.  A study of mobile banking loyalty in Iran , 2015, Comput. Hum. Behav..

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

[38]  Tao Zhou,et al.  An empirical examination of continuance intention of mobile payment services , 2013, Decis. Support Syst..

[39]  Garry Wei-Han Tan,et al.  Why consumers adopt mobile payment? A partial least squares structural equation modelling (PLS-SEM) approach , 2015, Int. J. Mob. Commun..

[40]  Shuiqing Yang,et al.  Role of transfer-based and performance-based cues on initial trust in mobile shopping services: a cross-environment perspective , 2016, Inf. Syst. E Bus. Manag..

[41]  Lawrence S. Mayer,et al.  Testing for Lagged, Cotemporal, and Total Dependence in Cross-Lagged Panel Analysis , 1987 .

[42]  J. Córdova,et al.  Intimacy: A behavioral interpretation , 2001, The Behavior analyst.

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

[44]  Tao Zhou,et al.  An Empirical Examination of Initial Trust in Mobile Payment , 2014, Wireless Personal Communications.

[45]  Shu-Ching Chen,et al.  The Relative Contribution of Love and Trust towards Customer Loyalty , 2015 .

[46]  Bruce Chien-Ta Ho,et al.  Factors influencing the adoption of mobile commerce in Taiwan , 2018, Int. J. Mob. Commun..

[47]  Francisco Javier Rondan-Cataluña,et al.  Moderating effect of learning styles on a learning management system's success , 2017, Telematics Informatics.

[48]  I. Altman,et al.  Social penetration: The development of interpersonal relationships , 1973 .

[49]  A. Tomasi.  Technology and Intimacy in the Philosophy of Georges Bataille , 2007 .

[50]  Xiongfei Cao,et al.  Exploring the effect of overload on the discontinuous intention of social media users: An S-O-R perspective , 2018, Comput. Hum. Behav..

[51]  Jianping Peng,et al.  Mobile phone customer retention strategies and Chinese e-commerce , 2013, Electron. Commer. Res. Appl..

[52]  Hsien-Tung Tsai,et al.  Why on-line customers remain with a particular e-retailer: An integrative model and empirical evidence , 2006 .

[53]  Michael Groß,et al.  Mobile shopping loyalty: The salient moderating role of normative and functional compatibility beliefs , 2018, Technology in Society.

[54]  Yueh-Min Huang,et al.  Implementation and evaluation of mobile e-books in a cloud bookcase using the information system success model , 2016, Libr. Hi Tech.

[55]  Yue Guo,et al.  Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender , 2019, Electron. Commer. Res. Appl..

[56]  Michael Groß.  Mobile shopping: a classification framework and literature review , 2015 .

[57]  Fevzi Okumus,et al.  Understanding mobile hotel booking loyalty: an integration of privacy calculus theory and trust-risk framework , 2017, Inf. Syst. Frontiers.

[58]  Ohbyung Kwon,et al.  Intimacy, familiarity and continuance intention: An extended expectation-confirmation model in web-based services , 2011, Electron. Commer. Res. Appl..

[59]  Timothy W. Bickmore,et al.  Establishing and maintaining long-term human-computer relationships , 2005, TCHI.

[60]  D. Petzer,et al.  Fostering Purchase Intentions Toward Online Retailer Websites in an Emerging Market: An S-O-R Perspective , 2018, Journal of Internet Commerce.

[61]  Ing-Long Wu,et al.  Developing customer product loyalty through mobile advertising: Affective and cognitive perspectives , 2019, Int. J. Inf. Manag..

[62]  J. Russell,et al.  An approach to environmental psychology , 1974 .

[63]  Mihail Cocosila,et al.  An integrated value-risk investigation of contactless mobile payments adoption , 2016, Electron. Commer. Res. Appl..

[64]  R. Oliver.  Whence Consumer Loyalty? , 1999 .

[65]  Han-Chao Chang,et al.  The effect of flow experience on player loyalty in mobile game application , 2016, Comput. Hum. Behav..

[66]  Hanudin Amin,et al.  EWOM towards homestays lodging: extending the information system success model , 2018 .

[67]  B. Holloway,et al.  The mediating effects of customers’ intimacy perceptions on the trust-commitment relationship , 2016 .

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

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

[70]  Echo Huang,et al.  Online Experiences and Virtual Goods Purchase Intention , 2012, Internet Res..

[71]  Narasimhaiah Gorla,et al.  Organizational impact of system quality, information quality, and service quality , 2010, J. Strateg. Inf. Syst..

[72]  R. Zajonc.  Feeling and thinking : Preferences need no inferences , 1980 .

[73]  Pei-Luen Patrick Rau,et al.  Relationship between the level of intimacy and lurking in online social network services , 2008, Comput. Hum. Behav..

[74]  ChangHyun Jin,et al.  The perspective of a revised TRAM on social capital building: The case of Facebook usage , 2013, Inf. Manag..

[75]  Zhongju Zhang,et al.  Feeling the Sense of Community in Social Networking Usage , 2010, IEEE Transactions on Engineering Management.

[76]  Jae-Nam Lee,et al.  Antecedents of cognitive trust and affective distrust and their mediating roles in building customer loyalty , 2015, Inf. Syst. Frontiers.

[77]  K. Chan,et al.  Strengthening Customer Loyalty through Intimacy and Passion: Roles of Customer–Firm Affection and Customer–Staff Relationships in Services , 2008 .

[78]  J. Hoelter.  The Analysis of Covariance Structures , 1983 .

[79]  Thurasamy Ramayah,et al.  The role of transformational leadership as a mediating variable in DeLone and McLean information system success model: The context of online learning usage in Yemen , 2018, Telematics Informatics.

[80]  Anol Bhattacherjee,et al.  An empirical analysis of the antecedents of electronic commerce service continuance , 2001, Decis. Support Syst..

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

[82]  A. Palmer,et al.  Enjoyment and social influence: predicting mobile payment adoption , 2015 .

[83]  Yogesh Kumar Dwivedi,et al.  Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust , 2015 .

[84]  Jing Liu,et al.  An investigation of users’ continuance intention towards mobile banking in China , 2016 .

[85]  Po-An Chen,et al.  Exploring social networking sites for facilitating multi-channel retailing , 2013, Multimedia Tools and Applications.

[86]  G. Passiante,et al.  Customer satisfaction and loyalty in a digital environment: an empirical test , 2006 .

[87]  S. Lee.  m-servicescape: effects of the hotel mobile app servicescape preferences on customer response , 2018, Journal of Hospitality and Tourism Technology.

[88]  S. Kaur,et al.  Do Vendor Cues Influence Purchase Intention of Online Shoppers? An Empirical Study Using S-O-R Framework , 2017 .

[89]  Kai H. Lim,et al.  Web strategies to promote internet shopping: is cultural-customization needed? , 2009 .

[90]  Muhammad Ziaullah,et al.  An Empirical Study on Exploring Relationship among Information Quality, E-satisfaction, E-trust and Young Generation's Commitment to Chinese Online Retailing , 2014 .

[91]  Tao Zhou,et al.  Examining the Critical Success Factors of Mobile Website Adoption , 2011, Online Inf. Rev..

[92]  Yang Cao,et al.  Examining WeChat users' motivations, trust, attitudes, and positive word-of-mouth: Evidence from China , 2014, Comput. Hum. Behav..

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

[94]  Silas Formunyuy Verkijika,et al.  An affective response model for understanding the acceptance of mobile payment systems , 2020, Electron. Commer. Res. Appl..

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

[96]  Chia-Chen Chen,et al.  What drives in-app purchase intention for mobile games? An examination of perceived values and loyalty , 2016, Electron. Commer. Res. Appl..

[97]  Manoj A. Thomas,et al.  Mobile Payment , 2013, Springer Fachmedien Wiesbaden.

[98]  Norizan M. Kassim,et al.  The effect of perceived service quality dimensions on customer satisfaction, trust, and loyalty in e‐commerce settings , 2010 .

[99]  Rolph E. Anderson,et al.  Multivariate Data Analysis with Readings , 1979 .