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Drivers of mobile payment acceptance: The impact of network externalities

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Abstract

Mobile payment is an attractive option that has recently boomed because of the advent of smart phones and their applications. Despite the great potential of such technology in simplifying our lives, its uptake remains limited. As the technology acceptance fails to meet expectations, this study aims at providing a better understanding of the factors influencing mobile payment acceptance. Through an empirical investigation that couples the traditional technology acceptance factors with “network externalities” effect. This study hypothesized that performance expectancy, effort expectancy; social influence, trust, and network externality are major factors that influence the intention to use mobile payment. Results indicated that while the traditional acceptance drivers still impact customers’ willingness to adopt mobile payment, network externalities was the most influential driver of mobile payment acceptance. Results also failed to support the influence of effort expectancy. Conclusions and future work propositions are stated at the end.

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References

  • Abu-Shamaa, R., & Abu-Shanab, E. (2015). Factors influencing the intention to buy from online stores. The IEEEGCC conference & Exhibition Background, Towards Smart Sustainable Solutions, Muscat, Oman, 1–4 February, 2015, 1–7.

  • Abu-Shanab, E. (2014). Antecedents of trust in e-government services: an empirical test in Jordan. Transforming Government: People, Process and Policy, 8(4), 480–499.

    Article  Google Scholar 

  • Abu-Shanab, E., & Al-Azzam, A. (2012). Trust dimensions and the adoption of E-government in Jordan. International Journal of Information Communication Technologies and Human Development, 4(1), 39–51.

    Article  Google Scholar 

  • Abu-Shanab, E., & Md Nor, K. (2013). The influence of language on research results. Management Research and Practice Journal (MRP), 4(2), 37–48.

    Google Scholar 

  • Abu-Shanab, E., & Pearson, J. (2007). Internet banking in Jordan: the Unified Theory of Acceptance and Use of Technology (UTAUT) perspective. Journal of Systems and Information Technology, 9(1), 78–97.

    Article  Google Scholar 

  • Abu-Shanab, E., & Pearson, M. (2009). Internet banking in Jordan: an Arabic instrument validation process. The International Arab Journal of Information Technology, 6(3), 235–244.

    Google Scholar 

  • Abu-Shanab, E., Pearson, J., & Setterstrom, A. (2010). Internet banking and customers’ acceptance in Jordan: the unified model’s perspective. Communications of the Association for Information Systems (CAIS), 26(Article 23), 493–525.

    Google Scholar 

  • Alexander, B. Elisabeth, H., & Thomas, H. (2010). The contribution of IT features to increase trust and participation in online communities: An empirical analysis, 18th European Conference on Information Systems, 1–14.

  • Al-Shafi, S., & Weerakkody, V. (2009). Implementing free Wi-Fi in public parks. International Journal of Electronic Government Research, 5(3), 21–35.

    Article  Google Scholar 

  • Alshare, K., Grandon, E., & Miller, D. (2004). Antecedents of computer technology usage: considerations of the technology acceptance model in the academic environment. The Journal of Computing Sciences in Colleges, 19(4), 164–180.

    Google Scholar 

  • Alshare, K., Al-Garni, M., & Musa, A. (2009). The moderating effect of cultural dimensions on user’s acceptance of mobile payment devices: A conceptual model. Accessed from Internet in 11 Oct 2014 from: http://www.researchgate.net/publication/236153340_the_moderating_effect_of_cultural_dimensions_on_user's_acceptance_of_mobile_payment_devices_a_conceptual_model.

  • 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.

    Article  Google Scholar 

  • Attuquayefio, S., & Add, O. H. (2014). Review of studies with UTAUT as conceptual framework. European Scientific Journal (ESJ), 10(8), 249–258.

    Google Scholar 

  • Au, Y., & Kauffman, R. (2008). The economics of mobile payments: understanding stakeholder issues for an emerging financial technology application. Electronic Commerce Research and Applications, 7(2), 141–164.

    Article  Google Scholar 

  • Baron, S., Patterson, A., & Harris, K. (2006). Beyond technology acceptance: understanding consumer practice. International Journal of Service Industry Management, 17(2), 111–135.

    Article  Google Scholar 

  • Beygo, O., & Eraslan, C. (2009). Enhancing security and usability features of NFC. (Master’s thesis, School of Computing Blekinge Institute of Technology), accessed from the Internet in 3 Sep 2014 from: https://www.bth.se/fou/cuppsats.nsf/all/93db10dccbe06a83c1257646002aa0b9/$file/thesis_v2.0.pdf.

  • Brislin, R. W. (1970). Back-translation for cross-cultural research. Journal of Cross-Cultural Psychology, 1(3), 30–43.

    Article  Google Scholar 

  • Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: a baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(3), 399–426.

    Article  Google Scholar 

  • Chandra, S., Srivastava, S. C., & Theng, Y.-L. (2010). Evaluating the role of trust in consumer adoption of mobile payment systems: an empirical analysis. Communications of the Association for Information Systems, 27(3), 561–588.

    Google Scholar 

  • Chen, W., Hancke, G. P., Mayes, K. E., Lien, Y., & Chiu, J. H. (2010). NFC mobile transactions and authentication based on GSM network. In: Near Field Communication (NFC), 2010 Second International Workshop, 83–89.

  • Cheng, Y., Yu, T., Huang, C., Yu, C., & Yu, C. (2011). The comparison of three major occupations for user acceptance of information technology: applying the UTAUT model. iBusiness, 3(2), 147–158.

    Article  Google Scholar 

  • Chung, J. E. Park, N., Wang, H., Fulk, J., & McLaughlin, M. (2010). Age differences in perceptions of online community participation among non-users: an extension of the technology acceptance model. Computers in Human Behavior, 26(6), 1674–1684.

  • Cohen, J., & Cohen, P. (1983). Applied multiple regression/correlation analysis for the behavioral sciences. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.

  • Dahlberg, T., & Mallat, N. (2002). Mobile payment service development - managerial implications of consumer value perceptions (2002). In Proceedings of the Xth European Conference on Information Systems ECIS 2002. Gdańsk, Poland. 649–657.

  • Dass, R., & Pal, S. (2011). A meta analysis on adoption of mobile financial services. Indian Institute of Management Ahmedabad, 2(1), 1–26.

    Google Scholar 

  • Economides, N. (1996). Network externalities, complementarities, and invitations to enter. European Journal of Political Economy, 12(2), 211–233.

    Article  Google Scholar 

  • Faria, G. (2012). Mobile banking adoption a novel model in the Portuguese context, Instituto Superior de Estatística e Gestão de Informação Universidade Nova de Lisboa, published Dissertation. Accessed in 3 Nov 2014 from: http://run.unl.pt/bitstream/10362/9183/1/TEGI0326.pdf.

  • Gefen, D. (1997). Building users ‘trust in freeware providers and the effects of this trust on users’ perceptions of usefulness, ease of use and intended use. Unpublished Doctoral Dissertation, Georgia State University.

  • Gefen, D. (2000). E-commerce: the role of familiarity and trust. Omega, 28(6), 725–737.

    Article  Google Scholar 

  • Ghazal, M. (2014). 95 % of Jordanians own mobiles; 47 % use the Internet. Article published by the Jordan Times, date Feb 26, 2014, accessed from the Internet in November 2014 from: http://jordantimes.com/95-of-jordanians-own-mobiles-47-use-the-internet.

  • Gilje, E. (2009). Usability challenges for contactless mobile payment at a physical point of sale. (Master’s thesis, Norwegian University of Science and Technology). Accessed from the Internet in 8 Sep 2014 from: http://daim.idi.ntnu.no/masteroppgaver/004/4686/tittelside.pdf.

  • Global Payment Systems Analysis. (2014). A report accessed on 11 Nov 2014 from the Internet from: http://www.paymentsnz.co.nz/cms_show_download.php?id=119.

  • Hair, J., Black, W., Babin, B., & Anderson, R. (2009). Multivariate data analysis (7th ed.). Upper Saddle River: Prentice Hall.

    Google Scholar 

  • Harkness, J. A., & Schoua-Glusberg, A. S. (1998). Questionnaires in translation. ZUMA-Nachrichten Special Series, 3(1), 87–126.

    Google Scholar 

  • Haruvy, E., & Prasad, A. (1998). Optimal product strategies in the presence of network externalities. Information Economics and Policy, 10(1), 489–499.

    Article  Google Scholar 

  • Hassouna, M., Tarhini, A., Elyas, T., & AbouTrab, M. (2015). Customer churn in mobile markets: a comparison of techniques. International Business Research, 8(6), 224–237.

    Article  Google Scholar 

  • Henkel, J. (2002). Mobile payment. In G. Silberer, J. Wohlfahrt, & T. Wilhelm (Eds.), Mobile commerce – basics, business models and success factors (pp. 327–351). Wiesbaden: Gabler.

    Google Scholar 

  • Hong, S.-J., & Tam, K. Y. (2006). Understanding the adoption of multipurpose information appliances: the case of mobile data services. Information Systems Research, 17(2), 162–179.

    Article  Google Scholar 

  • Jarvenpaa, S. L., Lang, K. R., Takeda, Y., & Tuunainen, V. K. (2003). Mobile commerce at crossroads. Communications of the ACM, 46(12), 41–44.

    Article  Google Scholar 

  • Karnouskos, S., & Fokus, F. (2004). Mobile payment: a journey through existing procedures and standardization initiatives. IEEE Communications Surveys & Tutorials, 6(4), 44–66.

    Article  Google Scholar 

  • Katz, M., & Shapiro, C. (1985). Network externalities, competition, and compatibility. The American Economic Review, 75(3), 424–440.

    Google Scholar 

  • Katz, M. L., & Shapiro, C. (1992). Product introduction with network externalities. Journal of Industrial Economics, 40(1), 55–83.

    Article  Google Scholar 

  • Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: an integrative view of four mechanisms underlying post-adoption phenomena. Management Science, 51(5), 741–755.

    Article  Google Scholar 

  • Laumer, S., Eckhardt, A., & Trunk, N. (2010). Do as your parents say?—Analyzing IT adoption influencing factors for full and under age applicants. Information Systems Frontiers, 12(2), 169–183.

    Article  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(2), 464–478.

    Article  Google Scholar 

  • Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly, 31(4), 705–737.

    Article  Google Scholar 

  • Louho, R., Kallioja, M., & Oittinen, P. (2006). Factors affecting the use of hybrid media applications. Graphic Arts in Finland, 35(3), 11–21.

    Google Scholar 

  • Lu, Y., Cao, Y., Wang, B., & Yang, S. (2011). A study on factors that affect users’ behavioral intention to transfer usage from the offline to the online channel. Computers in Human Behavior, 27(1), 355–364.

    Article  Google Scholar 

  • Mallat, N. (2007). Exploring consumer adoption of mobile payments- a qualitative study. The Journal of Strategic Information Systems, 16(4), 413–432.

    Article  Google Scholar 

  • Marketingchina.com (2015). Chinese Mobile Banking payment is booming. Accessed from the Internet in 29 Jan 2015. From http://marketingtochina.com/chinese-mobile-banking-payment-booming.

  • McKnight, H., Choudhuryb, V., & Kacmar, C. (2002). The impact of initial consumer trust on intentions to transact with a web site: a trust building model. Journal of Strategic Information Systems, 11(2), 297–323.

    Article  Google Scholar 

  • Morris, M. G., & Venkatesh, V. (2000). Age differences in technology adoption decisions: implications for a changing workforce. Personnel Psychology, 53, 375–403.

    Article  Google Scholar 

  • Nunnally, J. C. (1978). Psychometric theory (2nd ed.). New York: McGraw-Hill.

    Google Scholar 

  • Nysveen, H., & Pedersen, P. (2014). Consumer adoption of RFID-enabled services. Applying an extended UTAUT model. Information Systems Frontiers, http://link.springer.com.ezproxy.yu.edu.jo/article/10.1007/s10796-014-9531-4/fulltext.html. Accessed 10 Sep 2014.

  • Ondrus, J., & Pigneur, Y. (2009). Near field communication: an assessment for future payment systems. Information Systems and E-Business Management, 7(3), 347–361.

    Article  Google Scholar 

  • Oshlyansky, L., Cairns, P., & Thimbleby, H. (2007). Validating the unified theory of acceptance and use of technology (UTAUT) tool cross-culturally. In Proceedings of the 21st British HCI Group Annual Conference. HCI 2007, 3–7 September 2007, Lancaster University, UK, 1–4.

  • Park, J., Yang, S., & Lehto, X. (2007). Adoption of mobile technologies for Chinese consumers. Journal of Electronic Commerce Research, 8(3), 196–206.

    Google Scholar 

  • Peng, H., Xu, X., & Liu, W. (2011). Drivers and barriers in the acceptance of mobile payment in China. Communications in Information Science and Management Engineering, 1(5), 73–78.

    Google Scholar 

  • Shapiro, C., & Varian, H. R. (1998). Network effects. Notes to accompany information rules: A strategic guide to the network economy. Boston: Harvard Business School Press.

    Google Scholar 

  • Shin, D. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(2), 1343–1354.

    Article  Google Scholar 

  • Slade, E., Williams, M., Dwivedi, Y., & Piercy, N. (2014). Exploring consumer adoption of proximity mobile payments. Journal of Strategic Marketing, 1–15. doi:10.1080/0965254X.2014.914075.

  • Song, J., Koo, C., & Kim, Y. (2007). Investigating antecedents of behavioral intentions in mobile commerce. Journal of Internet Commerce, 6(1), 13–34.

    Article  Google Scholar 

  • Suntornpithug, N., & Khamalah, J. (2010). Machine and person interactivity: the driving forces behind influences on consumers’ willingness purchase online. Journal of Electronic Commerce Research, 11(4), 299–325.

    Google Scholar 

  • Taylor, S., & Todd, P. A. (1995). Assessing IT usage: the role of prior experience. MIS Quarterly, 19(4), 561–570.

    Article  Google Scholar 

  • Teo, T. S. H., Lim, V. K. G., & Lai, R. Y. C. (1999). Intrinsic and extrinsic motivation in internet usage. International Journal of Management Science, 27(1), 25–37.

    Google Scholar 

  • Thakur, R. (2013). Customer adoption of mobile payment services by professionals across two cities in India: an empirical study using modified technology acceptance model. Business Perspectives and Research, 1(2), 17–29.

    Article  Google Scholar 

  • The Mobile Payments and NFC Landscape: A U.S. Perspective. (2011). Retrieved November 15, 2014, from: Smart Card Alliance, pp. 1–53. http://www.smartcardalliance.org/resources/pdf/Mobile_Payments_White_Paper_091611.pdf.

  • Van der Heijden, H., Verhagen, T., & Creemers, M. (2003). Understanding online purchase intentions: contributions from technology and trust perspectives. European Journal of Information Systems, 12(1), 41–48.

  • Van Hove, L. (2001). The New York City smart card trial in perspective: a research note. International Journal of Electronic Commerce, 5(2), 119–131.

    Google Scholar 

  • Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: toward a unified view. MIS Quarterly, 27(3), 425–478.

    Article  Google Scholar 

  • Venkatesh, V., Thong, J., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.

    Article  Google Scholar 

  • Wang, C., Lo, S., & Fang, W. (2008a). Extending the technology acceptance model to mobile telecommunication innovation: the existence of network externalities. Journal of Consumer Behavior, 7(2), 101–110.

    Article  Google Scholar 

  • Wang, S., Zheng, S., Xu, L., Li, D., & Meng, H. (2008b). A literature review of electronic marketplace research: themes, theories and an integrative framework. Information Systems Frontiers, 10(5), 555–571.

    Article  Google Scholar 

  • Wu, Univ, Kaohsiung, Tao, & Yang (2007). Using UTAUT to explore the behavior of 3G mobile communication users. 2007 IEEE International Conference on Industrial Engineering and Engineering Management.Singapore, 2007, 199–203.

  • Xin, H., Techatassanasoontorn, A., & Tan, F. (2013). Exploring the influence of trust on mobile payment adoption. PACIS 2013 Proceedings, Jeju, Korea, June 18, 2013, 143–159.

  • Yan, A., Md-Nor, K., Abu-Shanab, E., & Sutanonpaiboon, J. (2009). Factors that affect mobile telephone users to use mobile payment solution. International Journal of Economics and Management, 3(1), 37–49.

    Google Scholar 

  • Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile payment services adoption across time: an empirical study of the effects of behavioral beliefs, social influences, and personal traits. Computers in Human Behavior, 19(2), 129–142.

    Article  Google Scholar 

  • Yu, C. S., & Tao, Y. H. (2007). Enterprise e-marketplace adoption: from the perspectives of technology acceptance model, network externalities and transition costs. Journal of International Management, 14(4), 231–265.

    Google Scholar 

  • Zhang, N., Guo, X., & Chen, G. (2011). Why adoption and use behavior of IT/IS cannot last?—two studies in China. Information Systems Frontiers, 13(3), 381–395.

    Article  Google Scholar 

  • Zhou, T. (2011). The effect of initial trust on user adoption of mobile payment. Information Development, 27(4), 290–300.

    Article  Google Scholar 

  • Zhou, T. (2013a). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085–1091.

    Article  Google Scholar 

  • Zhou, T. (2013b). Examining continuous usage of location-based services from the perspective of perceived justice. Information Systems Frontiers, 15(1), 141–150.

    Article  Google Scholar 

  • Zmijewska, A., Lawrence, E., & Steele, R. (2004). Towards understanding of factors influencing user acceptance of mobile payment systems. IADIS International Conference WWW/Internet, Madrid, Spain, 6–9 October, 2004, 270–277.

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  1. MIS Department, IT College, Yarmouk University, Irbid, Jordan, 21163

    Ajao Qasim & Emad Abu-Shanab

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  1. Ajao Qasim
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  2. Emad Abu-Shanab
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Correspondence to Emad Abu-Shanab.

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Table 8 Original Sources for items used to build the instrument
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Qasim, A., Abu-Shanab, E. Drivers of mobile payment acceptance: The impact of network externalities. Inf Syst Front 18, 1021–1034 (2016). https://doi.org/10.1007/s10796-015-9598-6

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