Factors affecting consumers’ mobile payment behavior: a meta-analysis
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[1] 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 .
[2] In Lee,et al. An empirical examination of factors influencing the intention to use mobile payment , 2010, Comput. Hum. Behav..
[3] Ephraim R. McLean,et al. Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..
[4] Fred D. Davis,et al. A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.
[5] Liebana-Cabanillas Francisco,et al. Payment Systems in New Electronic Environments: Consumer Behavior in Payment Systems via SMS , 2015 .
[6] Agnes L. DeFranco,et al. It's about time: Revisiting UTAUT2 to examine consumers’ intentions to use NFC mobile payments in hotels , 2016 .
[7] Tao Zhou,et al. Understanding the determinants of mobile payment continuance usage , 2014, Ind. Manag. Data Syst..
[8] Iviane Ramos de Luna,et al. NFC technology acceptance for mobile payments: A Brazilian Perspective , 2017 .
[9] Rui Zhang,et al. Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits , 2012, Comput. Hum. Behav..
[10] Juan Sánchez-Fernández,et al. The moderating effect of experience in the adoption of mobile payment tools in Virtual Social Networks: The m-Payment Acceptance Model in Virtual Social Networks (MPAM-VSN) , 2014, Int. J. Inf. Manag..
[11] Tao Zhou,et al. An empirical examination of continuance intention of mobile payment services , 2013, Decis. Support Syst..
[12] 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..
[13] Jane M. Howell,et al. Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..
[14] Nicholas A. Bowman,et al. Effect Sizes and Statistical Methods for Meta-Analysis in Higher Education , 2012 .
[15] Yuan Liu,et al. A usability-centred perspective on intention to use mobile payment , 2011, Int. J. Mob. Commun..
[16] Icek Ajzen,et al. From Intentions to Actions: A Theory of Planned Behavior , 1985 .
[17] Keng-Boon Ooi,et al. The effects of convenience and speed in m-payment , 2015, Ind. Manag. Data Syst..
[18] Garry Wei-Han Tan,et al. Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card , 2016, Expert Syst. Appl..
[19] Izak Benbasat,et al. Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..
[20] 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..
[21] Siong Choy Chong,et al. Factors affecting consumers' perception of electronic payment: an empirical analysis , 2013, Internet Res..
[22] E. Rogers. Diffusion of Innovations , 1962 .
[23] Bernd W. Wirtz,et al. Understanding consumer acceptance of mobile payment services: An empirical analysis , 2010, Electron. Commer. Res. Appl..
[24] Chang Liu,et al. How do post-usage factors and espoused cultural values impact mobile payment continuation? , 2017, Behav. Inf. Technol..
[25] Francisco J. Liébana-Cabanillas,et al. User behaviour in QR mobile payment system: the QR Payment Acceptance Model , 2015, Technol. Anal. Strateg. Manag..
[26] Tiago Oliveira,et al. A weight and a meta-analysis on mobile banking acceptance research , 2016, Comput. Hum. Behav..
[27] Parijat Upadhyay,et al. Analyzing user perspective on the factors affecting use intention of mobile based transfer payment , 2016, Internet Res..
[28] Viswanath Venkatesh,et al. Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..
[29] G. Glass. Primary, Secondary, and Meta-Analysis of Research1 , 1976 .
[30] Yung-Hsiang Cheng,et al. High speed rail passengers’ mobile ticketing adoption , 2013 .
[31] Kai-Ying Chen,et al. User acceptance of ‘near field communication’ mobile phone service: an investigation based on the ‘unified theory of acceptance and use of technology’ model , 2013 .
[32] Gordon B. Davis,et al. User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..
[33] Chang Liu,et al. How Important Are Enjoyment and Mobility for Mobile Applications? , 2017, J. Comput. Inf. Syst..
[34] R. Rosenthal,et al. Meta-analysis: recent developments in quantitative methods for literature reviews. , 2001, Annual review of psychology.
[35] Giovanni Mattia,et al. The Integrated Model on Mobile Payment Acceptance (IMMPA): An empirical application to public transport , 2015 .
[36] F. Liébana-Cabanillas,et al. Intention to use new mobile payment systems: a comparative analysis of SMS and NFC payments , 2017 .
[37] Juan Sánchez-Fernández,et al. Behavioral Model of Younger Users in M-Payment Systems , 2015, J. Organ. Comput. Electron. Commer..
[38] Tao Zhou,et al. The effect of initial trust on user adoption of mobile payment , 2011 .
[39] Shuiqing Yang,et al. Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective , 2011, Inf. Manag..
[40] Emad Abu-Shanab,et al. Drivers of mobile payment acceptance: The impact of network externalities , 2015, Information Systems Frontiers.
[41] Viswanath Venkatesh,et al. Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..
[42] Lihua Huang,et al. Consumer acceptance of mobile payment across time: Antecedents and moderating role of diffusion stages , 2017, Ind. Manag. Data Syst..
[43] G. Mortimer,et al. Investigating the factors influencing the adoption of m-banking: A cross cultural study , 2015 .
[44] Sumeet Gupta,et al. Role of channel integration on the service quality, satisfaction, and repurchase intention in a multi-channel online-cum-mobile retail environment , 2016 .
[45] Yung‐ho Chiu,et al. Investigation of the factors influencing the acceptance of electronic cash stored-value cards , 2011 .
[46] Mala Srivastava,et al. Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India , 2014, Internet Res..
[47] Fred D. Davis. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..
[48] Chi-Wen Chen,et al. Effects of Perceived Risk on Intention to Purchase: A Meta-Analysis , 2019, J. Comput. Inf. Syst..
[49] Hangjung Zo,et al. User Acceptance of e-government Services: Examining an e-tax Filing and Payment System in Thailand , 2016, Inf. Technol. Dev..
[50] Krishna P. Jayakar,et al. Mobile payments in Japan, South Korea and China , 2016 .
[51] Hoda Mashayekhi,et al. Factors influencing adoption of e-payment systems: an empirical study on Iranian customers , 2016, Information Systems and e-Business Management.
[52] Ritu Agarwal,et al. A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..
[53] A. Keramati,et al. A combinative model of behavioural and technical factors affecting ‘Mobile’-payment services adoption: an empirical study , 2012 .
[54] Mihail Cocosila,et al. An integrated value-risk investigation of contactless mobile payments adoption , 2016, Electron. Commer. Res. Appl..
[55] Liguo Lou,et al. Tourist Satisfaction Enhancement Using Mobile QR Code Payment: An Empirical Investigation , 2017 .
[56] Nena Lim,et al. Consumers' perceived risk: sources versus consequences , 2003, Electron. Commer. Res. Appl..
[57] John E. Hunter,et al. Methods of Meta-Analysis: Correcting Error and Bias in Research Findings , 1991 .
[58] Tiago Oliveira,et al. Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology , 2016, Comput. Hum. Behav..
[59] Philip O'Reilly,et al. Realising M-Payments: modelling consumers' willingness to M-pay using Smart Phones , 2014, Behav. Inf. Technol..
[60] Habib Ullah Khan,et al. Factors influence consumers' adoption of mobile payment devices in Qatar , 2015, Int. J. Mob. Commun..
[61] Lili Sun,et al. Reuse Intention of Third-Party Online Payments: A Focus on the Sustainable Factors of Alipay , 2016 .
[62] A. Palmer,et al. Enjoyment and social influence: predicting mobile payment adoption , 2015 .
[63] Garry Wei-Han Tan,et al. NFC mobile credit card: The next frontier of mobile payment? , 2014, Telematics Informatics.
[64] Francisco J. Liébana-Cabanillas,et al. Determinants of the intention to use NFC technology as a payment system: an acceptance model approach , 2015, Information Systems and e-Business Management.
[65] Philip O'Reilly,et al. To M-Pay or not to M-Pay—Realising the potential of smart phones: conceptual modeling and empirical validation , 2012, Electron. Mark..
[66] Dong-Hee Shin,et al. Towards an understanding of the consumer acceptance of mobile wallet , 2009, Comput. Hum. Behav..
[67] Jalayer Khalilzadeh,et al. Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry , 2017, Comput. Hum. Behav..
[68] Manoj A. Thomas,et al. Mobile Payment , 2013, Springer Fachmedien Wiesbaden.
[69] L. Berry,et al. Understanding Service Convenience , 2002 .
[70] Liu Liu,et al. Exploring consumer perceived risk and trust for online payments: An empirical study in China's younger generation , 2015, Comput. Hum. Behav..
[71] I. Ajzen,et al. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .
[72] Wang Tao,et al. An empirical study of customers' perceptions of security and trust in e-payment systems , 2010, Electron. Commer. Res. Appl..
[73] Ahmet Bulent Ozturk,et al. Customer acceptance of cashless payment systems in the hospitality industry , 2016 .
[74] Fan Zhang,et al. A comprehensive study of algebraic fault analysis on PRINCE , 2015 .
[75] Yogesh Kumar Dwivedi,et al. Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service , 2014, Information Systems Frontiers.
[76] Yong Liu,et al. Understanding perceived risks in mobile payment acceptance , 2015, Ind. Manag. Data Syst..
[77] Dong-Hee Shin,et al. Modeling the Interaction of Users and Mobile Payment System: Conceptual Framework , 2010, Int. J. Hum. Comput. Interact..
[78] Lingling Gao,et al. Examining the role of initial trust in user adoption of mobile payment services: an empirical investigation , 2015, Information Systems Frontiers.
[79] Felix B. Tan,et al. Antecedents of Consumer Trust in Mobile Payment Adoption , 2015, J. Comput. Inf. Syst..
[80] Garry Wei-Han Tan,et al. Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach , 2013, Expert Syst. Appl..
[81] Fred D. Davis,et al. User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .
[82] Xiaojun Zhang,et al. An espoused cultural perspective to understand continued intention to use mobile applications: a four-country study of mobile social media application usability , 2015, Eur. J. Inf. Syst..
[83] Shaorui Li,et al. Understanding Continuance Intention of Mobile Payment Services: An Empirical Study , 2017, J. Comput. Inf. Syst..
[84] Sari Kujala,et al. The role of expectations in service evaluation: A longitudinal study of a proximity mobile payment service , 2017, Int. J. Hum. Comput. Stud..
[85] Tao Zhou,et al. An Empirical Examination of Initial Trust in Mobile Banking , 2011, Internet Res..
[86] Nan Hua,et al. Understanding the mobile payment technology acceptance based on valence theory: A case of restaurant transactions , 2017 .