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IJSTR >> Volume 9 - Issue 4, April 2020 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Integration Of Intention And Resistance In Adopting Near Field Communication-Based Mobile Payment Innovation

[Full Text]



Diananda Fitri Pitari, Gita Gayatri, Asnan Furinto, Sofjan Assauri



adoption of innovation behavior; consumer intention to adopt innovation; consumer resistance to adopt innovation; NFC-based mobile payment; dual factor concept



The purpose of this study is to determine the factors that influence the adoption behavior of NFC-based mobile payment. In exploring these factors, referring to the dual factor concept, this study enhances previous studies by integrating consumer intentions to adopt and resistance to adopt innovation in a research model. The research model was tested empirically using structural equation modeling (SEM) on data collected from 300 people targeting the market for NFC-based mobile payment products in Indonesia. Indonesia, which has the world’s fourth-largest population, the second largest number of cash transactions in the world, and cellular phone penetration rates and unbanked bankable numbers that are still very high, is a promising market share for NFC-based mobile payment. Amid these conditions, the rate of adoption of NFC-based mobile payments in Indonesia is not yet satisfactory. From the results of empirical testing it is known that the behavior in adopting NFC-based mobile payment is influenced by consumers’ intention to adopt, and resistance to adopt innovation. In addition to influencing innovation adoption behavior, consumer resistance to adopt innovation also influences consumer intentions to adopt the innovation. The consumer had perceptions that NFC-based mobile payment has advantages over existing innovations, by lifestyle and needs and are easy to use also need to be considered because it is proven to affect consumer intention to adopt NFC-based mobile payment.



[1] AL-Majali, M., & Mat, N.K.N. (2011). Modelling the antecedents of internet banking service adoption (IBSA) in Jordan: a structural equation modeling (SEM) approach. J. Bank. Com. 16 (1).
[2] Andrew, J., & Sirkin, H. (2003). Innovating for cash. Harvard Business Review, 81(9), 76–83.
[3] Ahmad, I., & Ahmad, S. 2018. Multiple Skills and Medium Enterprises Performance in Punjab Pakistan: A Pilot Study. The Journal of Social Sciences Research: 44-49: 44.
[4] Ahmad, I., & Ahmad, S. (2019). The mediation effect of strategic planning on the relationship between business skills and firm’s performance: Evidence from medium enterprises in Punjab, Pakistan. Opcion, 35(24), 746-778.
[5] Azhari, Firman. (2014). Quick detection of NFC vulnerability: Implementation weakness exploitation. Information Management & Computer Security, 22(2), 134 – 140.
[6] Carliner, Saur. (2000). Physical, Cognitive, and Affective: A Three-part Framework for Information Design. Technical Communication, 47(4), 561-576.
[7] Cenfetelli, R.T. (2004). Inhibitiors and enablers as dual factor concepts in technology use. Journal of the Association for Information Systems, 5(11-12), 472-492.
[8] Chang, I., Hwang, H., Hung, W., & Li, Y. (2007). Physicians’ acceptance of pharmacokinetics-based clinical decision support systems. Expert Systems with Application, 33(2), 296-303.
[9] Chemingui, Hella., & Ben lallouna, Hajer. (2013). Resistance, motivations, trust and intention to use mobile financial services. International Journal of Bank Marketing, 31, 574-592.
[10] Chen, W., Hancke, G.P., Mayes, K.E., Lien, Y., and Chiu, J.H. (2010). NFC mobile transactions and authentication based on GSM network. In: Near Field Communication (NFC). Second International Workshop, 83–89.
[11] Cooper, R.B., & Zmud, R.W. (1990). Information Technology Implementation Research: A Technology Diffusion Approach. Management Science, 36(2), 123–139.
[12] Cornescu, Viorel., & Adam, Cecilia-Roxan. ( 2013 ). The Consumer Resistance Behavior towards Innovation. Procedia Economics and Finance, 6, 457 – 465.
[13] Cronin, J.J., Brady, M.K., & Hult, G.T.M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journalof Retailing, 76(2), 193-218.
[14] Deloitte. (2015). The future is now Digital Financial Services in Indonesia.
[15] Dubickis, M., Gaile-Sarkane, E. (2015). Perspectives on innovation and technology transfer. Procedia - Social and Behavioural Sciences, 213, 965-970.
[16] Fishbein, M. & Ajzen, I. (1975). Belief, attitude, intention and behavior: an introduction to theory and research. Reading, MA : Adisson-Wesley.
[17] Gourville, J. T. (2006). Eager sellers and stony buyers. Understanding the psychology of new-product adoption. Harvard Business Review, 84(6), 98–106.
[18] Griffin, A., & Page, A. L. (1996). PDMA success measurement project : Recommended measures for product development success and failures. Journal of Product Innovation Management, 13, 478– 496
[19] Hauser, John., Tellis, Gerard J., & Griffin, Abbie. (2006). Research on Innovation: A Review and Agenda for Marketing Science. Marketing Science. 25(6), 687-717.
[20] Heidenreich, S., & Kraemer, T. (2015). Innovations – Doomed to fail? Investigating strategies to overcome passive innovation resistance. Journal of Product Innovation Management. http://dx.doi.org/10.1111/jpim.12273.
[21] Heidenreich, S., & Spieth, P. (2013). Why innovations fail – The case of passive and active innovation resistance. International Journal of Innovation Management, 17(5), 1–42.
[22] Hess, S. (2009). Managing consumer’s adoption barriers. Doctoral dissertation. University of Mannheim.
[23] Holak, S. & Lehmann, D. (1990). Purchase Intentions and the Dimensions of Innovation: An Exploratory Model. Journal pf Product Innovation Management. 7 (1), 59-73.
[24] Huang, X., Soutar, G. N., & Brown, A. (2004). Measuring new product success: an empirical investigation of Australian SMEs. Industrial Marketing Management, 33, 117– 123.
[25] Indonesia Digital Landscape. (2008). https://www.slideshare.net/rumahide/indonesia-digital-landscape-2018.
[26] Khan, K. and Hyunwoo, K. (2009), “Factors affecting consumer resistance to innovation: a study of smartphones”, Me´moire de Maste`re en administration des affaires, Jonkoping International Business School, Jonkoping.
[27] Kim, Woo Gon., Ma, Xiaojing., & Kim, Dong Jin. (2006). Determinants of Chinese hotel customers’ e-satisfaction and purchase intentions. Tourism Management, 27, 890–900.
[28] Kleijnen, M., Lee, N., & Wetzels, M. (2009). An exploration of consumer resistance to innovation and its antecedents. Journal of Economic Psychology, 30(3), 344–357.
[29] Kuisma, T., Laukkanen, T., & Hiltunen, M. (2007). Mapping the reasons for resistance to internet banking: A means-end approach. International Journal of Information Management, 27(2), 75–85.Peter, J. Paul., Olson, Jerry Corrie. (2008). Consumer behavior. McGraw-Hill
[30] Lapointe, Liette., Lamothe, Lise., &Fortin, Jean-Paul. (2002). The Dynamics of IT Adoption in a Major Change Process in Healthcare Delivery. HICSS 148. http://csdl.computer.org/comp/proceedings/hicss/2002/1435/06/14350148babs.html.
[31] Laukkanen, Tommi. (2016). Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking. Journal of Business Research, 69 (7), 2327-2614.
[32] Laukkanen, Tommi., Sinkkonen, Suvi., Kivijarvi, Marke., & Laukkanen, Pekka (2007). Innovation resistance among mature consumers. Journal of Consumer Marketing, 24 (7), 419 - 427
[33] Laukkanen, T., & Lauronen, J., (2005). Consumer value creation in mobile banking services. International. Journal of Mobile Communications, 3(4), 325–338.
[34] Laumer, S. & Eckhardt, A. (2012). Why do people reject technologies: a review of user resistance theories. Information systems theory, 1, 63-86.
[35] Leavitt, Neal. (2012). Are Mobile Payments Ready to Cash in Yet. Computer. 15-18.
[36] Lee, Ming-Chi. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications. 8, 130–141.
[37] Leong, Lai-Ying., Hew, Teck-Soon., Tan, Garry Wei-Han., and Ooi, Keng-Boon. (2013). Predicting the determinants of the NFC-enabled mobile credit card acceptance: A neural networks approach. Expert Systems with Applications, 40, 5604–5620.
[38] Lewin, K. (1947). Frontiers in group dynamics: Concept, method, and reality in social sciences,social equilibria, and social change. Human Relations, 1, 5–41.
[39] Liébana-Cabanillas, Francisco., Sánchez-Fernández, Juan., & Muñoz-Leiva, Francisco. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464–478.
[40] Luo, Jia Ning., Yang, Ming Hour, &Huang, Szu-Yin.(2016). An Unlinkable Anonymous Payment Scheme based on near field communication. Computers & Electrical Engineering, 49, 198–206.
[41] Lu, Y.; Yang, S.; Chau, P. Y., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: a cross environment perspective. Information & Management, 48:8, 393-403. doi: 10.1016/j.im.2011.09.006.
[42] Madlmayr, Gerald., Langer, Josef., Kantner, Christian., & Scharinger, Josef. (2008).NFC Devices: Security and Privacy, Availability, Reliability and Security. IEEEARES, 642-647.
[43] Maidique, Modesto A. & Zirger, Billie Jo, A Study of Success and Failure in Product Innovation: The Case of the U.S. Electronics Industry (1984). IEEE Transactions on Engineering Management, EM-31 (4), p. 192-203.
[44] Malhotra, Naresh K. (2007). Review of Marketing Research Volume 3. M.E. Sharpe, Inc., New York.
[45] Mallat, Niina. (2007). Exploring consumer adoption of mobile payments – A qualitative study. Journal of Strategic Information Systems, 16, 413–432.
[46] Maruping, Likoebe M., Bala, Hillol., & Venkatesh, Viswanath. (2017). Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology.Journal of the Association for Information Science and Technology, 68(3).
[47] Mullen, Riley, Husson, Glass dan McDavid. (2012). Trial NFC to connect the real world with mobile. www.forrester.com/report.
[48] Ondrus, J., & Pigneur, Y. (2007). An assessment of NFC for future mobile payment systems. Proceedings of the 6th International Conference on Mobile Business.
[49] Ooi, Keng-Boon & Tan, Garry Wei-Han. (2016). Mobile technology acceptance model: An investigation using mobile users to explore smartphone credit card. Expert Systems With Applications 59, 33–46.
[50] Ozkan, Sevgi., & Kanat, Irfan Emrah. (2010). e-Government adoption model based on theory of planned behavior: Empirical validation. Government Information Quarterly,28, 503–513
[51] Debajyoti Pala*, Vajirasak Vanijjab, Borworn Papasratornc
[52] Pham, Thanh-Thao T., & Ho, Jonathan C. (2015).The effects of product-related, personal-related factors and attractiveness of alternatives on consumer adoption of NFC-based mobile payments. Technology in Society, 43, 159-172.
[53] Ram, S., & Sheth, J. N. (1989). Consumer resistance to innovations: The marketing problem and its solutions. Journal of Consumer Marketing, 6, 5–14.
[54] Schumpeter, J.A. (1934). The theory of economic development : the inquiry into profits, capital, credit, interest, and the business cycle. Harvard Economic Studies, 46.
[55] Shaw, Norman. (2014). The mediating influence of trust in the adoption of the mobile Wallet. Journal of Retailing and Consumer Service, 21, 449-459.
[56] Sheppard, Hartwick, dan Warshaw. (1988). The Theory of Reasoned Action: A Meta-Analysis of Past Research with Recommendations for Modifications and Future Research. Journal of Consumer Research, 15 (3), 325–343, https://doi.org/10.1086/209170
[57] Shim, Dongnyok., Kim, Jin Gyo, & Altmann, Jörn. Identifying key drivers and bottlenecks in the adoption of E-book readers in Korea. Telematics and Informatics, 33, 860–871.
[58] Slade, Emma L., Williams, Michael D. & Dwivedi, Yogesh K. (2013). Mobile payment adoption: Classification and review of the extant literature. The Marketing Review, 13 (2), 167-190.
[59] Statista. (2016). NFC mobile payment users worldwide from 2012 to 2018 (in millions). https://www.statista.com/statistics/461512/nfc-mobile-payment-users-worldwide/
[60] Suharto, Herman. (2015). NFC Jadi Senjata Penetrasi T-cash Telkomsel. http://inet.detik.com/read/2016/02/03/172402/3134112/328/nfc-jadi-senjata-penetrasi-t-cash-telkomsel
[61] Szmigin, I., & Foxall, G. (1998) Three forms of innovation resistance: The case of retail payment methods, Technovation, 8, 459-468.
[62] Talke, K., & Heidenreich, S. (2014). How to overcome pro-change bias: Incorporating passive and active innovation resistance in innovation decision models. Journal of Product Innovation Management, 31(5), 894–907.
[63] Tan, Keng-Boon Ooi., Siong-Choy Chong, & Teck-Soon Hew. (2014). NFC mobile credit card: The next frontier of mobile payment?. Telematics and Informatics, 31, 292–307.
[64] Tan, Margaret., & Teo, Thompson S. H. (2000). Factors Influencing the Adoption of Internet Banking. Journal of The Association for Information System. 1 (5). Pham, Thanh-Thao T., & Ho, Jonathan C. (2015). The effects of product-related, personal-related factors andattractiveness of alternatives on consumer adoption of NFC-basedmobile payments. Technology in Society, 43, 159-172
[65] The Path to Mobile Payments. (2015). https://www.itbusinessedge.com/slideshows/the-path-to-mobile-payments-2015-05.html.
[66] The state of FinTech in Indonesia (Infographic). (2018). TechInAsia. https://www.techinasia.com/state-of-indo-fintech.
[67] Uobgroup. (2018). The state of FinTech in Indonesia. https://www.uobgroup.com/techecosystem/pdf/UOB-State-of-FinTech-in-ASEAN.pdf.
[68] Veloutsou, C., & Bian, X. (2008) A cross-national examination of consumer perceived risk in the context of non-deceptive counterfeit brands. Journal of Consumer Behaviour, 7(1), 3-20.
[69] Venkatesh, V, Morris M. G., Davis G. B., & Davis F. D. (2003). User acceptance of information technology: Toward a unifying view. MIS Quarterly, 27(3), 425-478.
[70] Venkatesh, V, Brown Susan A., Maruping, Likoebe M., & Bala, Hillol. (2008). Predicting Different Conceptualizations of System Use: The Competing Roles of BehavioralIntention, Facilitating Conditions, and Behavioral Expectation. MIS Quarterly. 32 (3), 483-502.
[71] Volpentesta, Antonio P. (2015). A framework for human interaction with mobiquitous services in a smart environment. Journal Computers in Human Behavior, 50 (c), 177-185.
[72] Warshaw, P. R., & Davis, F. D. (1985). Disentangling Behavioral Intention and Behavioral Expectation. Journal of Experimental Social Psychology, 21(3), 213-228.
[73] Wijanto, Setyo Hari. (2015). Metode Penelitian Menggunakan Structural Equation Modeling dengan LISREL 9. Lembaga Penerbit Fakultas Ekonomi Universitas Indonesia.
[74] Wong, Choy-Har., Tan, Garry Wei-Han., Ooi Keng-Boon., & Lin, Binshan. (2014). Mobile shopping: the next frontier of the shopping industry? An emerging market perspective. International Journal of Mobile Communications, 13 (1), 92-112.
[75] Wong, James., & Law, Rob. (2005). Analysing the intention to purchase on hotel websites:a study of travellers to Hong Kong. Hospitality Management, 24, 311–329.
[76] Wu, Liang-Hong., Chang, Shou-Chi., &Wu, Liang-Chuan. (2016). Exploring consumers’ intention to accept smartwatch. Computers in Human Behavior 64:383-392.
[77] Yang, Qing., Pang, Chuan., Liu, Liu., Yen, David C., & Tarn, Michael J. (2015). Exploring consumer perceived risk and trust for online payments: An empirical study in China’s younger generation. Computers in Human Behaviour, 50, 9–24.