The Impact of Consumer Culture on Innovation Adoption in Developing Countries
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Keywords

UTAUT2
Multi-Criteria Decision Making
fuzzy AHP
mobile payment

How to Cite

EneizanB., SaraswatS., NgahA. H., EnaizanO., & AlsakarnehA. (2023). The Impact of Consumer Culture on Innovation Adoption in Developing Countries. Foresight and STI Governance, 17(3), 32-43. https://doi.org/10.17323/2500-2597.2023.3.32.43

Abstract

There is limited research on the factors that influence people’s continued use of mobile payments in developing countries, and it is likely that these factors vary from country to country. This study aims to explore how the factors affecting the continued use of mobile payments differ between Jordan and India, using the Unified Theory of Acceptance and Use of Technology (UTAUT2) as a framework. Additionally, this study extends the UTAUT2 model by including other factors such as trust, advertising value, payment culture, awareness, smartphone experience, and satisfaction. The study employs the fuzzy Analytic Hierarchy Process (AHP) approach to rank the factors that affect the intention to continue using mobile payments. The results suggest that price value and payment culture have the greatest influence on both Jordanian and Indian perceptions. Furthermore, habit was found to be the third most important factor affecting Jordanian perceptions, while smartphone experience was the third most significant factor affecting Indian perceptions.

https://doi.org/10.17323/2500-2597.2023.3.32.43
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References

Accenture (2016) Accenture Mobile Payments Survey 2016, Dublin: Accenture.

Accenture (2019) Mobile Payments: The Global Landscape Moves Forward, Dublin: Accenture.

Adams T. (2016) Mobile Payments Adoption: Consumer Considerations and Merchant Incentives, Atlanta, GA: Federal Reserve Bank of Atlanta.

Alalwan A.A. (2020) Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse. International Journal of Information Management, 50, 28-44. DOI: https://doi.org/10.1016/j.ijinfomgt.2019.04.008

Alalwan A.A., Dwivedi Y.K., Rana N.P. (2017) Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99-110. DOI: https://doi.org/10.1016/j.ijinfomgt.2017.01.002

Amoroso D., Lim R. (2017) The mediating effects of habit on continuance intention. International Journal of Information Management, 37(6), 693-702. DOI: https://doi.org/10.1016/j.ijinfomgt.2017.05.003

Baptista G., Oliveira T. (2015) Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 50, 418-430. DOI: https://doi.org/10.1016/j.chb.2015.04.024

Belanche D., Casaló L.V., Flavián C., Schepers J. (2014) Trust transfer in the continued usage of public e-services. Information & Management, 51(6), 627-640. DOI: https://doi.org/10.1016/j.im.2014.05.016

Bhattacherjee A. (2001) Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370. DOI: https://doi.org/10.2307/3250921

Biradavolu M., Dev C.S., Sahni S. (2021) Mobile payment adoption in emerging markets: A study of user behaviour in India. International Journal of Information Management, 57, 102401. DOI: https://doi.org/10.1016/j.ijinfomgt.2020

Buyukozkan G., Cifci G. (2012) A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers. Expert Systems with Applications, 39(3), 3000-3011. DOI: https://doi.org/10.1016/j.eswa.2011.08.162

Castaneda J.A., Munoz-Leiva F., Luque T. (2007) Web Acceptance Model (WAM): Moderating effects of user experience. Information & Management, 44(4), 384-396. DOI: https://doi.org/10.1016/j.im.2007.02.003

Chen S., Li X. (2021) Understanding mobile payment adoption in China: The roles of perceived risk and effort expectancy. International Journal of Information Management, 58, 102307.

Chen S.C., Yen D.C., Hwang M.I. (2012) Factors influencing the continuance intention to the usage of Web 2.0: an empirical study. Computers in Human Behaviour, 28(3), 933-941. DOI: https://doi.org/10.1016/j.chb.2011.12.014

Damaini A.A., Nugroho G.S. (2018) Fraud Crime Mitigation of Mobile Application Users for Online Transportation. International Journal of Interactive Mobile Technologies, 12(3), 8070. DOI: https://doi.org/10.3991/ijim.v12i3.8070

Datta S.K., Sengupta S., Mishra S. (2019) Exploring the drivers of mobile payment adoption in India: An empirical study. Telematics and Informatics, 43, 101240.

Davis F.D. (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. DOI: https://doi.org/10.2307/249008

De Luna I.R., Liébana-Cabanillas F., Sánchez-Fernández J., Muñoz-Leiva F. (2019) Mobile payment is not all the same: The adoption of mobile payment systems depending on the technology applied. Technological Forecasting and Social Change, 146, 931-944. DOI: https://doi.org/10.1016/j.techfore.2018.09.018

Dey S., Basu S. (2017) Factors influencing the adoption of digital payments: An empirical study in India. Journal of Indian Business Research, 9(2), 125-147. DOI: https://doi.org/10.1108/JIBR-05-2016-0067

Dhanapal S., Sharma S.K. (2022) Adoption of mobile payment systems in emerging markets: A review and research agenda. Journal of Business Research, 142, 466-481. DOI: https://doi.org/10.1016/j.jbusres.2021.10.020

Ducoffe R. (1995) How consumers assess the value of advertising. Journal of Current Issues & Research in Advertising, 17(1), 1-18. DOI: https://doi.org/10.1080/10641734.1995.10505022

Dwivedi Y.K., Shareef M.A., Simintiras A.C., Lal B., Weerakkody V. (2017) A generalised adoption model for services: A cross-country comparison of mobile health (m-health). Government Information Quarterly, 34(2), 270-282. DOI: https://doi.org/10.1016/j.giq.2015.06.003

Elok C.S., Kom. S., Aprihatiningrum Hidayati M.M. (2021) Customer Loyalty in Digital Wallet Industry: The Role of Satisfaction, Effort Expectancy, Performance Expectancy, and Habit. In: Proceedings of the International Conference on Emerging Challenges: Business Transformation and Circular Economy (ICECH 2021) (Series: Advances in Economics, Business and Management Research, vol. 196), pp. 340-352.

FRS (2019) Consumers and Mobile Financial Services 2019, Washington, D.C.: Federal Reserve System.

Fan J., Shao M., Li Y., Huang X. (2018) Understanding users' attitude toward mobile payment use: A comparative study between China and the USA. Industrial Management & Data Systems, 118(3), 524-540. DOI: https://doi.org/10.1108/IMDS-06-2017-0268

Faqih K.M., Jaradat M.I.R.M. (2015) Assessing the moderating effect of gender differences and individualism-collectivism at individual-level on the adoption of mobile commerce technology: TAM3 perspective. Journal of Retailing and Consumer Services, 22, 37-52. DOI: https://doi.org/10.1016/j.jretconser.2014.09.006

Gharaibeh M.K., Arshad M.R.M., Gharaibh N.K. (2018) Using the UTAUT2 model to determine factors affecting adoption of mobile banking services: A qualitative approach. International Journal of Interactive Mobile Technologies, 12(4), 8525. DOI: https://doi.org/10.3991/ijim.v12i4.8525

Handayanto E., Ambarwati R. (2022) Continuance intention of mobile payment Using modified extending model of acceptance and use of technology. AMCA Journal of Science and Technology, 2(1), 1-9. DOI: https://doi.org/10.51773/ajst.v2i1.131

Hossain M.A., Alam S.S., Sikder M.H. (2017) Investigating mobile banking adoption in Bangladesh: A modified UTAUT model. Telematics and Informatics, 34(5), 638-655.

Huang H.C., Liaw S.S., Lai Y.M. (2016) Investigating the factors influencing users' intentions to continue using mobile learning systems: A modified UTAUT2 model. British Journal of Educational Technology, 47(2), 281-293. DOI: https://doi.org/10.1111/bjet.12256

Humbani M., Wiese M. (2018) A cashless society for all: Determining consumers' readiness to adopt mobile payment services. Journal of African Business, 19(3), 409-429.

ITU (2019) Mobile Money: Key Success Factors and Lessons Learned, Geneva: International Telecommunication Union.

Ibrahim G.R.F., Hamid A.A., Darwesh U.M., Rasul A. (2021) A GIS-based Boolean logic-analytical hierarchy process for solar power plant (case study: Erbil Governorate-Iraq). Environment, Development and Sustainability, 23(4), 6066-6083. DOI: https://doi.org/10.1007/s10668-020-00862-3

Iman N. (2018) Is mobile payment still relevant in the fintech era?. Electronic Commerce Research and Applications, 30, 72-82. DOI: https://doi.org/10.1016/j.elerap.2018.05.009

Jang H., Kim M., Park H. (2020) Determinants of mobile payment adoption: A study of millennials in South Korea. Sustainability, 12(11), 4588.

Kahraman C., Yazici H. (2013) Fuzzy analytic hierarchy process: A brief literature review. Fuzzy Information and Engineering, 5(1), 3-18.

Kim B., Kang M., Jo H. (2014) Determinants of postadoption behaviors of mobile communications applications: a dual-model perspective. International Journal of Human-Computer Interaction, 30(7), 547-559. DOI: https://doi.org/10.1080/10447318.2014.888501

Kim J. (2021) Cultural effects on mobile payment adoption: A comparative study of South Korea and the United States. International Journal of Information Management, 57, 102303.

Kim K.J., Song H.J., Park S.Y. (2022) Factors affecting mobile payment adoption in emerging markets: An extended model of the UTAUT2. Journal of Retailing and Consumer Services, 66, 102831. DOI: https://doi.org/10.1016/j.jretconser.2022.102831

Lee J., Kwon O., Kim J. (2021) Understanding continuance intention to use mobile payment systems: The role of satisfaction with mobile payment systems. International Journal of Information Management, 57, 102324. DOI: https://doi.org/10.1016/j.ijinfomgt.2020.102324

Liao C., Chen J. (2021) Understanding users' satisfaction and trust in mobile payment systems: The moderating role of perceived risk. Journal of Retailing and Consumer Services, 61, 102616. DOI: https://doi.org/10.1016/j.jretconser.2021.102616

Lu H., Xu Y., Huang D. (2020) The effect of payment culture on mobile payment adoption in China: An empirical investigation. Journal of Business Research, 110, 27-39. DOI: https://doi.org/10.3390/info10120384

Lu J., Wei J., Yu C.S. and Liu, C. (2017) How do post-usage factors and espoused cultural values impact mobile payment continuance? Behaviour & Information Technology, 36(2), 140-164. DOI: https://doi.org/10.1080/0144929X.2016.1208773

Miltgen L.C., Popovič A., Oliveira T. (2013) Determinants of end-user acceptance of biometrics: Integrating the big 3 of technology acceptance with privacy context. Decision Support Systems, 56(1), 103-114. DOI: https://doi.org/10.1016/j.dss.2013.05.010

Mouakket S., Bettayeb A.M. (2015) Investigating the factors influencing continuance usage intention of learning management systems by university instructors. International Journal of Web Information Systems, 11(4), 1-24. DOI: https://doi.org/10.1108/IJWIS-03-2015-0008

Oh S., Lee S. (2021) A study on factors influencing the adoption of mobile payment services in South Korea. Sustainability, 13(15), 8297.

Oliveira T., Thomas M., Baptista G., Campos F. (2016) Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61(2016), 404-414. DOI: https://doi.org/10.1016/j.chb.2016.03.030

Ozturk A.B., Bilgihan A. (2021) Understanding the role of hedonic motivation and experience on mobile hotel booking intention: A PLS-SEM approach. Journal of Hospitality and Tourism Technology, 12(4), 716-734.

Parker R.S., Venkatesh V. (2021) Mobile payment adoption in emerging markets: A research agenda. Journal of the Association for Information Systems, 22(6), 1522-1551. DOI: https://doi.org/10.17705/1jais.00637

Pham T.T.T., Ho J.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. DOI: https://doi.org/10.1016/j.techsoc.2015.05.004

Piotrowski C., Armstrong C.M. (2022) Examining the effects of hedonic and utilitarian motivations on mobile app adoption and usage. Journal of Business Research, 135, 696-708.

Putri D.A. (2018) Analyzing factors influencing continuance intention of e-payment adoption using modified UTAUT 2 model. In: Proceedings of the 2018 6th International Conference on Information and Communication Technology (ICoICT), Piscataway, NJ: IEEE, pp. 167-173.

Ren J., Sovacool B.K. (2015) Prioritizing low-carbon energy sources to enhance China's energy security. Energy Conversion and Management, 92, 129-136. DOI: https://doi.org/10.1016/j.enconman.2014.12.044

Roy S.K., Sinha A.P. (2019) Understanding the factors influencing the adoption of mobile payment services: An empirical study in India. Journal of Enterprise Information Management, 32(2), 226-249.

Saaty T.L. (1979) Applications of analytical hierarchies. Mathematics and Computers in Simulation, 21(1), 1-20.

Saraswat S.K., Digalwar A.K., Yadav S.S. (2021) Application of fuzzy AHP approach for evaluation of Sustainable energy sources in India. In: Mathematical Modeling and Computation of Real-Time Problems (eds. R. Kulshrestha, C. Shekhar, M. Jain, S.R. Chakravarthy), New York: CRC Press, pp. 145-158.

Saravanan M., Rao K.U., Rai R. (2017) Mobile banking adoption: A literature review. Journal of Enterprise Information Management, 30(2), 288-307.

Setterstrom A.J., Pearson J.M., Orwig R.A. (2013) Web-enabled wireless technology: An exploratory study of adoption and continued use intentions. Behaviour & Information Technology, 32(11), 1139-1154. DOI: https://doi.org/10.1080/0144929X.2012.708785

Shah Alam S., Yaacob N.A., Nasir R.M. (2020) Factors affecting the continuance intention to use mobile banking apps in Malaysia: A partial least squares approach. Journal of Critical Reviews, 7(14), 1999-2008.

Sharma A., Barua M.K. (2021) Adoption of mobile payment in India: A comprehensive review. Journal of Retailing and Consumer Services, 61, 102517.

Sharma S.K., Sharma M. (2019) Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation. International Journal of Information Management, 44, 65-75. DOI: https://doi.org/10.1016/j.ijinfomgt.2018.09.013

Shaw N., Sergueeva K. (2019) The non-monetary benefits of mobile commerce: Extending UTAUT2 with perceived value. International Journal of Information Management, 45, 44-55. DOI: https://doi.org/10.1016/j.ijinfomgt.2018.10.024

Sheikh Z., Islam T., Rana S., Hameed Z., Saeed U. (2017) Acceptance of social commerce framework in Saudi Arabia. Telematics and Informatics, 34(8), 1693-1708. DOI: https://doi.org/10.1016/j.tele.2017.08.003

Singh S., Zolkepli I.A., Kit C.W. (2018) New Wave in Mobile Commerce Adoption via Mobile Applications in Malaysian Market: Investigating the Relationship Between Consumer Acceptance, Trust, and Self Efficacy. International Journal of Interactive Mobile Technologies, 12(7), 8964. DOI: https://doi.org/10.3991/ijim.v12i7.8964

Smith A., Rainie L., Anderson J. (2012) The Future of Money in a Mobile Age, Washington, D.C.: Pew Research Center.

Sobti N. (2019) Impact of demonetization on diffusion of mobile payment service in India: Antecedents of behavioral intention and adoption using extended UTAUT model. Journal of Advances in Management Research, 16(4), 472-497. DOI: https://doi.org/10.1108/JAMR-09-2018-0086

Tam C., Oliveira T. (2017) Understanding mobile banking individual performance: The DeLone & McLean model and the moderating effects of individual culture. Internet Research, 27(3), 538-562. DOI: https://doi.org/10.1108/IntR-05-2016-0117

Thong J.Y.L., Hong S.J., Tam K.Y. (2006) The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human Computer Studies, 64(9), 799-810. DOI: https://doi.org/10.1016/j.ijhcs.2006.05.001

Tsai J., Lee C.Y., Chen J.Y. (2020) Exploring the factors that influence continued use of mobile health apps: Extending the expectation-confirmation model with personal innovativeness, habit, and price value. International Journal of Medical Informatics, 138, 104132. https://doi.org/10.3390%2Fhealthcare10020208.

Turel O., Qahri-Saremi H. (2019) The interplay between social influence and individual mental models on intention to adopt a cybersecurity innovation. Decision Support Systems, 122, 1-12.

Venkatesh V., Morris M.G., Davis G.B., Davis F.D. (2003) User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. DOI: https://doi.org/10.2307/30036540

Venkatesh V., Thong J.Y., Xu X. (2012) Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 115-178. DOI: https://doi.org/10.2307/41410412

Venkatesh V., Thong J.Y., Xu X. (2016) Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328-376. DOI: https://doi.org/10.17705/1jais.00428

Vijayasarathy L.R., Jones J.M. (2008) Print versus online newspapers: A comparison of readers' satisfaction. Journal of Electronic Publishing, 11(1), 1-13. DOI: https://doi.org/10.3998/3336451.0011.104

Wang W., Hu L., Zhang X. (2021) Exploring the key determinants of mobile payment adoption in China: An extended unified theory of acceptance and use of technology (UTAUT) model. Sustainability, 13(1), 192.

Wang X., Zhang L., Wu X. (2020) Understanding user acceptance of mobile payment from the perspective of habit: An empirical study in China. Electronic Commerce Research and Applications, 42, 100912.

Wilson E.V., Mao E., Lankton N.K. (2010) The distinct roles of prior IT use and habit strength in predicting continued sporadic use of IT. Communications of the Association for Information Systems, 27, 12. http://aisel.aisnet.org/cais/vol27/iss1/12, дата обращения 23.03.2023.

Wu D.D., Olson D.L. (2008) AHP-based fuzzy linguistic approach for evaluating information quality. European Journal of Operational Research, 184(2), 610-626.

Wu X., Chen Y., Xie L. (2021) Determinants of mobile payment adoption: Evidence from China. Journal of Retailing and Consumer Services, 60, 102437.

Xu X., Gupta S., Wang Y. (2018) What drives mobile payment adoption? A study of consumers in China. Journal of Retailing and Consumer Services, 44, 203-215.

Yang J., Fang K. (2021) Factors influencing consumer acceptance of mobile payment in China: A review and future research agenda. Telematics and Informatics, 59, 101567.

Yang L., Huang H. (2021) Exploring the continuance intention of mobile payment services in China: A perspective of self-determination theory. Journal of Retailing and Consumer Services, 63, 102725.

Zavadskas E.K., Turskis Z., Kildienė S. (2016) State of the art surveys of overviews on MCDM/MADM methods. Technological and Economic Development of Economy, 22(5), 738-765. DOI: https://doi.org/10.3846/20294913.2014.892037

Zhang H., Li Y. (2021) Mobile payment adoption in China: The roles of perceived usefulness, performance expectancy, and habit. International Journal of Mobile Communications, 19(1), 1-23.

Zhang Y., Sun J., Yang Z., Wang Y. (2018) What makes people actually embrace or shun mobile payment: a cross-culture study. Mobile Information Systems, 2018, 7497545. DOI: https://doi.org/10.1155/2018/7497545

Zhao Y., Liu X., Wu J. (2021) Habit formation in mobile payment usage: The roles of perceived enjoyment and perceived usefulness. Journal of Retailing and Consumer Services, 61, 102523.

Zhou T. (2011) An empirical examination of users' post-adoption behaviour of mobile services. Behaviour & Information Technology, 30(2), 241-250. DOI: https://doi.org/10.1080/0144929X.2010.543702

Zhou T. (2012) Examining mobile banking user adoption from the perspectives of trust and flow experience. Information Technology and Management, 13(1), 27-37. DOI: https://doi.org/10.1007/s10799-011-0111-8

Zhou T. (2013) An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085-1091. DOI: https://doi.org/10.1016/j.dss.2012.10.034

Zhou T. (2021) Mobile payment acceptance in emerging economies: A mixed-methods study. Journal of Business Research, 133, 248-261.

Zhou T., Lu Y., Wang B. (2010) Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760-767. DOI: https://doi.org/10.1016/j.chb.2010.01.013

Öztüren A. (2018) Acceptance Of Mobile Payment Technologies By The Travelers Visiting North Cyprus. Review of Tourism Sciences, 7, 166. http://www.jotr.eu/index.php/volume19/224-acceptance-of-mobile-payment-technologies-by-the-travelers-visiting-north-cyprus/, дата обращения 19.04.2023.

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