Determining mobile payment adoption: A systematic literature search and bibliometric analysis

References

• Almeida, F. (2018). Canvas framework for performing systematic reviews analysis. Multidisciplinary Journal for Education, Social and Technological Sciences, 5(1), 65. doi:https://doi.org/10.4995/muse.2018.9832.
   Google Scholar
• Aria, M., & Cuccurullo, C. (2017). bibliometrix : an R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–21. doi:https://doi.org/10.1016/j.joi.2017.08.007.
   Google Scholar
• Arvidsson, N. (2014). Consumer attitudes on mobile payment services - results from a proof of concept test. International Journal of Bank Marketing, 32(2), 150–170. doi:https://doi.org/10.1108/IJBM-05-2013-0048.
   Google Scholar
• Bagla, R. K., & Sancheti, V. (2018). Gaps in customer satisfaction with digital wallets: Challenge for sustainability. Journal of Management Development, 37(6), 442–451. doi:https://doi.org/10.1108/JMD-04-2017-0144.
   Google Scholar
• Capegemini. (2019). World Payments Report 2019. Capegemini. Retrieved from https://worldpaymentsreport.com/wp-content/uploads/sites/5/2019/09/World-Payments-Report-WPR-2019.pdf
   Google Scholar
• Capegemini. (2020). COVID-19 and the financial services consumer: Supporting customers and driving engagement through the pandemic and beyond. Retrieved from February 17, 2021, https://www.capgemini.com/in-en/wp-content/uploads/sites/6/2020/05/COVID-19-and-the-financial-services-consumer_V5-2.pdf
   Google Scholar
• Chawla, D., & Joshi, H. (2019). Consumer attitude and intention to adopt mobile wallet in India – an empirical study. International Journal of Bank Marketing, 37(7), 1590–1618. doi:https://doi.org/10.1108/IJBM-09-2018-0256.
   Google Scholar
• Chhonker, M. S., Verma, D., Kar, A. K., & Grover, P. (2018). m-commerce technology adoption: thematic and citation analysis of scholarly research during (2008-2017). Bottom Line, 31(3–4), 208–233. doi:https://doi.org/10.1108/BL-04-2018-0020.
   Google Scholar
• Chung, K.-C., & Holdsworth, D. K. (2012). Culture and behavioural intent to adopt mobile commerce among the Y generation: comparative analyses between Kazakhstan, Morocco and Singapore. Young Consumers, 13(3), 224–241. doi:https://doi.org/10.1108/17473611211261629.
   Google Scholar
• Dahlberg, T., Guo, J., & Ondrus, J. (2015). Electronic commerce research and applications a critical review of mobile payment research. Electronic Commerce Research and Applications, 14(5), 265–284. doi:https://doi.org/10.1016/j.elerap.2015.07.006.
   Google Scholar
• Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past, present and future of mobile payments research: A literature review. Electronic Commerce Research And Applications, 7(2), 165-181. https://doi.org/https://doi.org/10.1016/j.elerap.2007.02.001
   Google Scholar
• de Albuquerque, J. P., Diniz, E. H., & Cernev, A. K. (2014). Mobile payments: A scoping study of the literature and issues for future research. Information Development, 32(3), 527–553. doi:https://doi.org/10.1177/0266666914557338.
   Google Scholar
• Di Pietro, L., Guglielmetti Mugion, R., Mattia, G., Renzi, M., & Toni, M. (2015). The Integrated Model on Mobile Payment Acceptance (IMMPA): An empirical application to public transport. Transportation Research Part C: Emerging Technologies, 56, 463–479. https://doi.org/https://doi.org/10.1016/j.trc.2015.05.001
   Google Scholar
• Fahimnia, B., Sarkis, J., & Davarzani, H. (2015). Green supply chain management: A review and bibliometric analysis. International Journal of Production Economics, 162, 101–114. doi:https://doi.org/10.1016/j.ijpe.2015.01.003.
   Google Scholar
• FIS. (2018). Flavors of Fast Report 2018. Retrieved from fisglobal.com/flavors-of-fast
   Google Scholar
• Gbongli, K., Xu, Y., & Amedjonekou, K. M. (2019). Extended technology acceptance model to predict mobile-based money acceptance and sustainability: A multi-analytical structural equation modeling and neural network approach. Sustainability (Switzerland), 11(13). doi:https://doi.org/10.3390/su11133639.
   Google Scholar
• Holdings, N. (2019). India Internet 2019. The Internet & Mobile Association of India (IAMAI). Retrieved from September 25, 2020, https://cms.iamai.in/Content/ResearchPapers/2286f4d7-424f-4bde-be88-6415fe5021d5.pdf
   Google Scholar
• Johnson, V. L., Kiser, A., Washington, R., & Torres, R. (2018). Limitations to the rapid adoption of M-payment services: understanding the impact of privacy risk on M-Payment services. Computers in Human Behavior, 79, 111–122. doi:https://doi.org/10.1016/j.chb.2017.10.035.
   Google Scholar
• José Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Role of gender on acceptance of mobile payment. Industrial Management & Data Systems, 114(2), 220–240. https://doi.org/https://doi.org/10.1108/imds-03-2013-0137
   Google Scholar
• Joseph, J., Sriram, K. V., Rodrigues, L. L. R., Mathew, A. O., & Gana, K. C. (2018). An empirical study on customer adoption of mobile payment application in India. International Journal of Enterprise Network Management, 9(3–4), 363–375. doi:https://doi.org/10.1504/IJENM.2018.094675.
   Google Scholar
• Kaushik, A. K., & Rahman, Z. (2014). Perspectives and dimensions of consumer innovativeness: a literature review and future agenda. Journal of International Consumer Marketing, 26(3), 239–263. doi:https://doi.org/10.1080/08961530.2014.893150.
   Google Scholar
• Kessler. (1963). Kessler-1963-American_documentation. American Documentation, 14(1), 10–25. doi:https://doi.org/10.1002/asi.5090140103.
   Google Scholar
• Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322. doi:https://doi.org/10.1016/j.chb.2009.10.013.
   Google Scholar
• Koenig-Lewis, N., Marquet, M., Palmer, A., & Zhao, A. (2015). Enjoyment and social influence: predicting mobile payment adoption. The Service Industries Journal, 35(10), 537–554. https://doi.org/https://doi.org/10.1080/02642069.2015.1043278
   Google Scholar
• Kumar, A., Adlakaha, A., & Mukherjee, K. (2018). The effect of perceived security and grievance redressal on continuance intention to use M-wallets in a developing country. International Journal of Bank Marketing, 36(7), 1170–1189. doi:https://doi.org/10.1108/IJBM-04-2017-0077.
   Google Scholar
• Kumar, A. S., & Arun Palanisamy, Y. (2019). Examining the consumers’ preference towards adopting the mobile payment system. International Journal of Electronic Finance, 9(4), 268–286. doi:https://doi.org/10.1504/IJEF.2019.104071.
   Google Scholar
• Kumar, S. (2015). Co-authorship networks: A review of the literature. Aslib Journal of Information Management, 67(1), 55–73. doi:https://doi.org/10.1108/AJIM-09-2014-0116.
   Google Scholar
• Leong, L.-Y., Hew, T.-S., Tan, G. W.-H., & Ooi, K.-B. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach. Expert Systems with Applications, 40(14), 5604–5620. doi:https://doi.org/10.1016/j.eswa.2013.04.018.
   Google Scholar
• Liébana-Cabanillas, F., & Lara-Rubio, J. (2017). Predictive and explanatory modeling regarding adoption of mobile payment systems. Technological Forecasting And Social Change, (120), 32-40. https://doi.org/https://doi.org/10.1016/j.techfore.2017.04.002
   Google Scholar
• Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: the moderating effect of age. Computers in Human Behavior, 35(December), 464–478. doi:https://doi.org/10.1016/j.chb.2014.03.022.
   Google Scholar
• Ligon, E., Malick, B., Sheth, K., & Trachtman, C. (2019). What explains low adoption of digital payment technologies? evidence from small-scale merchants in Jaipur, India. PLoS ONE, 14(7), 1–22. doi:https://doi.org/10.1371/journal.pone.0219450.
   Google Scholar
• Liu, Z., Ben, S., & Zhang, R. (2019). Factors affecting consumers’ mobile payment behavior: A meta-analysis. Electronic Commerce Research, 19(3), 575–601. doi:https://doi.org/10.1007/s10660-019-09349-4.
   Google Scholar
• Madan, K., & Yadav, R. (2016). Behavioural intention to adopt mobile wallet: A developing country perspective. Journal of Indian Business Research, 8(3), 227–244. doi:https://doi.org/10.1108/JIBR-10-2015-0112.
   Google Scholar
• Malik, A., Suresh, S., & Sharma, S. (2019). An empirical study of factors influencing consumers’ attitude towards adoption of wallet apps. International Journal of Management Practice, 12(4), 426–442. doi:https://doi.org/10.1504/IJMP.2019.102534.
   Google Scholar
• Mallat, N. (2007). Exploring consumer adoption of mobile payments – A qualitative study. 16(4), 413–432. doi:https://doi.org/10.1016/j.jsis.2007.08.001.
   Google Scholar
• Mao, E., Srite, M., Thatcher, J. B., & Yaprak, O. (2005). A research model for mobile phone service behaviors: empirical validation in the U.S. and Turkey. Journal of Global Information Technology Management, 8(4), 7–28. doi:https://doi.org/10.1080/1097198X.2005.10856406.
   Google Scholar
• Nambiar, S., Lu, C. T., & Liang, L. R. (2004). Analysis of payment transaction security in mobile commerce. In proceedings of the 2004 IEEE international conference on information reuse and integration, IRI-2004. https://doi.org/https://doi.org/10.1109/iri.2004.1431506
   Google Scholar
• Phonthanukitithaworn, C., Sellitto, C., & Fong, M. (2015). User intentions to adopt mobile payment services: A study of early adopters in Thailand. Journal of Internet Banking and Commerce, 20(1), 29. https://www.scopus.com/record/display.uri?eid=2-s2.0-84939549352&origin=resultslist&sort=plf-f&src=s&st1=&st2=&sid=eafb23929e1a0b013344d47cfed4b173&sot=b&sdt=b&sl=102&s=TITLE-ABS-KEY%28User+intentions+to+adopt+mobile+payment+services%3a+A+study+of+early+adopters+in+Thailand%29&relpos=0&citeCnt=33&searchTerm=
   Google Scholar
• Phonthanukitithaworn, C., Sellitto, C., & Fong, M. W. L. (2016a). A comparative study of current and potential users of mobile payment services. SAGE Open, 6(4), 4. doi:https://doi.org/10.1177/2158244016675397.
   Google Scholar
• Phonthanukitithaworn, C., Sellitto, C., & Fong, M. W. L. (2016b). An investigation of mobile payment (m-payment) services in Thailand. Asia-Pacific Journal of Business Administration, 8(1), 37–54. doi:https://doi.org/10.1108/APJBA-10-2014-0119.
   Google Scholar
• Rey-Martí, A., Ribeiro-Soriano, D., & Palacios-Marqués, D. (2016). A bibliometric analysis of social entrepreneurship. Journal of Business Research, 69(5), 1651–1655. doi:https://doi.org/10.1016/j.jbusres.2015.10.033.
   Google Scholar
• Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209–216. doi:https://doi.org/10.1016/j.elerap.2009.07.005.
   Google Scholar
• Shankar, A., & Datta, B. (2018). Factors affecting mobile payment adoption intention: an indian perspective. Global Business Review, 19(3_suppl), S72–S89. doi:https://doi.org/10.1177/0972150918757870.
   Google Scholar
• Shaw, B., & Kesharwani, A. (2019). Moderating effect of smartphone addiction on mobile wallet payment adoption. Journal of Internet Commerce, 18(3), 291–309. doi:https://doi.org/10.1080/15332861.2019.1620045.
   Google Scholar
• Shin, D.-H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343–1354. doi:https://doi.org/10.1016/j.chb.2009.06.001.
   Google Scholar
• Singh, N., Sinha, N., & Liébana-Cabanillas, F. (2020). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use, and social influence. International Journal Of Information Management, (50), 191-205. https://doi.org/https://doi.org/10.1016/j.ijinfomgt.2019.05.022
   Google Scholar
• Singh, N., Srivastava, S., & Sinha, N. (2017). Consumer preference and satisfaction of M-wallets: A study on North Indian consumers. International Journal of Bank Marketing, 35(6), 944–965. doi:https://doi.org/10.1108/IJBM-06-2016-0086.
   Google Scholar
• Su, P., Wang, L., & Yan, J. (2018). How users’ Internet experience affects the adoption of mobile payment: A mediation model. Technology Analysis and Strategic Management, 30(2), 186–197. doi:https://doi.org/10.1080/09537325.2017.1297788.
   Google Scholar
• Surwase, G., Atomic, B., Sagar, A., Atomic, B., Kademani, B. S., Atomic, B., & Bhanumurthy, K. (2011). Co-citation Analysis : An Overview ISBN : 935050007–8, (September).
   Google Scholar
• Thakur, R., & Srivastava, M. (2013). Customer usage intention of mobile commerce in India: an empirical study. Journal Of Indian Business Research, 5(1), 52–72. https://doi.org/https://doi.org/10.1108/17554191311303385
   Google Scholar
• Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. doi:https://doi.org/10.1111/1467-8551.00375.
   Google Scholar
• Upadhyay, P., & Chattopadhyay, M. (2015). Examining mobile based payment services adoption issues: A new approach using hierarchical clustering and self-organizing maps. Journal of Enterprise Information Management, 28(4), 490–507. doi:https://doi.org/10.1108/JEIM-04-2014-0046.
   Google Scholar
• Upadhyay, P., & Jahanyan, S. (2016). Analyzing user perspective on the factors affecting use intention of mobile based transfer payment. Internet Research, 26(1), 38–56. doi:https://doi.org/10.1108/IntR-05-2014-0143.
   Google Scholar
• Worldline. (2019). India Digital payments Report. Wordline. Retrieved fromAugust 20, 2020, https://worldline.com/content/dam/worldline/documents/india/documents/worldline-india-digital-payments-report-2019-a-year-in-review.pdf
   Google Scholar
• Yang, X., & Sattayatham, P. (2016). Based on neural network approach predicting mobile payment adoption inclination determinants in Southest Asia. Journal of Theoretical and Applied Information Technology, 87(1), 126–137. https://www.scopus.com/record/display.uri?eid=2-s2.0-84967239628&origin=resultslist&sort=plf-f&src=s&st1=&st2=&sid=2ba5e728fe867b74a27238db5414befe&sot=b&sdt=b&sl=124&s=TITLE-ABS-KEY%28Based+on+neural+network+approach+predicting+mobile+payment+adoption+inclination+determinants+in+Southest+Asia%29&relpos=0&citeCnt=1&searchTerm=
   Google Scholar
• Zhou, T. (2011). The effect of initial trust on user adoption of mobile payment. Information Development, 27(4), 290–300. https://doi.org/https://doi.org/10.1177/0266666911424075
   Google Scholar