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ARTICLES

Contextual facilitators and barriers influencing the continued use of mobile payment services in a developing country: insights from adopters in India

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References

  • Abadi, H. R. D., Kabiry, N., & Forghani, M. H. (2013). Factors affecting Isfahanian mobile banking adoption based on the technology acceptance model. International Journal of Academic Research in Business and Social Sciences, 3(5), 611.
  • Abrahão, R. D. S, Moriguchi, S. N., & Andrade, D. F. (2016). Intention of adoption of mobile payment: An analysis in the light of the unified theory of acceptance and use of technology (UTAUT). RAI Revista de Administração e Inovação, 13(3), 221–230.
  • Acılar, A. (2011). Exploring the aspects of digital divide in a developing country. Issues in Informing Science and Information Technology, 8, 231–244.
  • Aggarwal, S. (2019, April 15). Opinion | Fintech touching millions of lives by redefining financial services. Livemint. Retrieved from https://www.livemint.com/money/personal-finance/opinion-fintech-touching-millions-of-lives-by-redefining-financial-services-1555253061451.html
  • Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In Action control, SSSP Springer series in social psychology (pp. 11–39). Berlin: Springer. doi: 10.1007/978-3-642-69746-3_2
  • Aker, J. C., & Mbiti, I. M. (2010). Mobile phones and economic development in Africa. Journal of Economic Perspectives, 24(3), 207–232.
  • Akturan, U., & Tezcan, N. (2012). Mobile banking adoption of the youth market: Perceptions and intentions. Marketing Intelligence & Planning, 30(4), 444–459.
  • Al-Jabri, I. M., & Sohail, M. S. (2012). Mobile banking adoption: Application of diffusion of innovation theory.
  • Ameen, K., & Gorman, G. E. (2009). Information and digital literacy: A stumbling block to development?: A Pakistan perspective. Library Management, 30(1/2), 99–112.
  • Ananth, V. (2016, February 23). Only 17% Indians own smartphones: Survey. Livemint. Retrieved from https://www.livemint.com/Consumer/yT14OgtSC7dyywWSynWOKN/Only-17-Indians-own-smartphones-survey.html
  • Andreev, P., Pliskin, N., & Rafaeli, S. (2012). Drivers and inhibitors of mobile-payment adoption by smartphone users. International Journal of E-Business Research, 8(3), 50–67.
  • Antonio, A., & Tuffley, D. (2014). The gender digital divide in developing countries. Future Internet, 6(4), 673–687.
  • Anus, S., Qureshi, F. A., Malik, S., Abbasi, A., Chaudhry, A., & Mirza, S. N. (2011). Trust and initial acceptance of mobile banking in Pakistan.
  • Anzar, K. (2017, March 23). Jio Prime membership: Cashbacks, other offers & discounts: Know everything. Business Standard India. Retrieved from http://www.business-standard.com/article/companies/jio-prime-membership-cashbacks-other-offers-discounts-know-everything-117032300490_1.html
  • 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.
  • Avgerou, C. (2008). Information systems in developing countries: A critical research review. Journal of Information Technology, 23(3), 133–146.
  • Baabdullah, A., Dwivedi, Y., & Williams, M. (2014). Adopting an extended UTAUT2 to predict consumer adoption of M-technologies in Saudi Arabia, 25.
  • Baker, E. W., Al-Gahtani, S. S., & Hubona, G. S. (2010). Cultural impacts on acceptance and adoption of information technology in a developing country. Journal of Global Information Management, 18(3), 35–58.
  • Balachandra, R., & Friar, J. H. (1997). Factors for success in R&D projects and new product innovation: A contextual framework. IEEE Transactions on Engineering Management, 44(3), 276–287.
  • 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(Suppl. C), 418–430.
  • Barker, K. J., D’Amato, J., & Sheridon, P. (2008). Credit card fraud: Awareness and prevention. Journal of Financial Crime, 15(4), 398–410.
  • Bhatnagar, H. (2017). Demonetization to digitalization: A step toward progress. Management and Economics Research Journal, 3, 11–15.
  • Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370.
  • Bloomberg Quint. (2018, March 29). Mobile internet users in India seen at 478 million by June, says report. BloombergQuint. Retrieved from https://www.bloombergquint.com/business/mobile-internet-users-in-india-seen-at-478-million-by-june-says-report
  • Business Standard India. (2018, July 5). How BHIM app users are making easy money by using govt’s cashback scheme. Business Standard India. Retrieved from https://www.business-standard.com/article/economy-policy/upi-users-could-be-using-govt-s-cashback-boost-to-mint-money-118070500031_1.html
  • BusinessToday.in. (2018, June 20). Only 25% of Indian adults use internet, 80% don’t use social media: Pew research. Business Today. Retrieved from https://www.businesstoday.in/current/economy-politics/only-25-percent-indian-adults-use-internet-80-percent-dont-use-social-media-pew-research/story/279358.html
  • Cao, Q., & Niu, X. (2019). Integrating context-awareness and UTAUT to explain Alipay user adoption. International Journal of Industrial Ergonomics, 69, 9–13.
  • Census of India: Age Structure and Marital Status. (2001). Retrieved from http://censusindia.gov.in/Census_And_You/age_structure_and_marital_status.aspx
  • Census of India: Literacy and Level of Education. (2001). Retrieved from http://censusindia.gov.in/Census_And_You/literacy_and_level_of_education.aspx
  • Chakraborty, S. (2015, July 20). Can mobile payment firms sustain discounts? Livemint. Retrieved from https://www.livemint.com/Companies/lPfI7TpTbcuF7LEXFK6WGO/Can-mobile-payment-firms-sustain-discounts.html
  • 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, 29.
  • Cheah, C. M., Teo, A. C., Sim, J. J., Oon, K. H., & Tan, B. I. (2011). Factors affecting Malaysian mobile banking adoption: An empirical analysis. International Journal of Network and Mobile Technologies, 2(3), 149–160.
  • Chen, C. (2013). Perceived risk, usage frequency of mobile banking services. Managing Service Quality: An International Journal, 23(5), 410–436.
  • Cheung, C., & Limayem, M. (2005). The role of habit in information systems continuance: Examining the evolving relationship between intention and usage, 13.
  • Chitungo, S. K., & Munongo, S. (2013). Extending the technology acceptance model to mobile banking adoption in rural Zimbabwe. Journal of Business Administration and Education, 3(1), 51–79.
  • Chopdar, P. K., & Sivakumar, V. J. (2019). Understanding continuance usage of mobile shopping applications in India: The role of espoused cultural values and perceived risk. Behaviour & Information Technology, 38(1), 42–64.
  • Chu, A. B. (2018). Chapter 6—mobile technology and financial inclusion. In D. L. K. Chuen & R. Deng (Eds.), Handbook of blockchain, digital finance, and inclusion (Vol. 1, pp. 131–144). Academic Press. Retrieved from http://www.sciencedirect.com/science/article/pii/B9780128104415000063
  • Coiro, S. (2017, September 1). The status of digital literacy in the developing world. BORGEN. Retrieved from https://www.borgenmagazine.com/digital-literacy-in-the-developing-world/
  • Cruz, P., Neto, L. B. F., Muñoz-Gallego, P., & Laukkanen, T. (2010). Mobile banking rollout in emerging markets: Evidence from Brazil. International Journal of Bank Marketing, 28(5), 342–371.
  • Dahlberg, T., & Oorni, A. (2007). Understanding changes in consumer payment habits-do mobile payments and electronic invoices attract consumers? 40th annual Hawaii International Conference on System Sciences, Waikoloa, HI (pp. 50–50). IEEE.
  • Dasgupta, S., Paul, R., & Fuloria, S. (2011). Factors affecting behavioral intentions towards mobile banking usage: Empirical evidence from India. Romanian Journal of Marketing; Bucharest, 1, 6–28.
  • Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
  • De Guinea, A. O., & Markus, M. L. (2009). Why break the habit of a lifetime? Rethinking the roles of intention, habit, and emotion in continuing information technology use. Mis Quarterly, 33, 433–444.
  • D’Monte, L. (2019, March 8). Mobile connectivity in emerging economies: Boon or bane? Livemint. Retrieved from https://www.livemint.com/news/world/mobile-connectivity-in-emerging-economies-boon-or-bane-1551986629710.html
  • Donalds, C., & Osei-Bryson, K.-M. (2017). Exploring the impacts of individual styles on security compliance behavior: A preliminary analysis. SIG ICT in global development, 10th annual pre-ICIS workshop, Seoul.
  • Donovan, K. (2012). Mobile money for financial inclusion. In Information and communications for development 2012 (pp. 61–73). The World Bank. Retrieved from http://elibrary.worldbank.org/doi/abs/10.1596/9780821389911_ch04
  • Duncombe, R. (2012). Understanding mobile phone impact on livelihoods in developing countries: A new research framework.
  • Dutta, A. (2018, March 24). Smartphone sales and literacy rate go hand-in-hand in India, reveals study. Business Standard India. Retrieved from https://www.business-standard.com/article/technology/strong-penetration-of-smartphone-in-highest-literate-regions-study-118032301045_1.html
  • ET Online. (2019, January 24). Here are the latest income tax slabs and rates. The Economic Times Wealth. Retrieved from https://economictimes.indiatimes.com/wealth/tax/latest-income-tax-slabs/articleshow/62751981.cms?from=mdr
  • Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4), 451–474.
  • FE Bureau. (2019, May 2). Financial cybercrimes, identity thefts on the rise: FIS report. The Financial Express. Retrieved from https://www.financialexpress.com/industry/technology/financial-cybercrime-identity-theft-on-the-rise-fis-report/1565248/
  • Fishbein, M. (1979). A theory of reasoned action: Some applications and implications.
  • Fornell, C. (1982). A second generation of multivariate analysis: Measurement and evaluation (Vol. 2). New York, NY: Praeger.
  • Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440–452.
  • Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Los Angeles, CA: Sage.
  • Gu, J.-C., Lee, S.-C., & Suh, Y.-H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616.
  • Guberek, T., McDonald, A., Simioni, S., Mhaidli, A. H., Toyama, K., & Schaub, F. (2018). Keeping a low profile?: Technology, risk and privacy among undocumented immigrants. Proceedings of the 2018 CHI conference on Human Factors in Computing Systems, Montréal, QC, Canada (p. 114). ACM.
  • Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective (Vol. 7). Upper Saddle River, NJ: Pearson.
  • Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis 6th edition. Pearson Prentice Hall. New Jersey. Humans: Critique and Reformulation. Journal of Abnormal Psychology, 87, 49–74.
  • Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152.
  • Hanafizadeh, P., Behboudi, M., Abedini Koshksaray, A., & Jalilvand Shirkhani Tabar, M. (2014). Mobile-banking adoption by Iranian bank clients. Telematics and Informatics, 31(1), 62–78.
  • Heeks, R., & Kenny, C. J. (2002). The economics of ICTs and global inequality: Convergence or divergence for developing countries? Retrieved from http://ictlogy.net/bibliography/reports/projects.php?idp=1021
  • Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.
  • Herzberg, A. (2003). Payments and banking with mobile personal devices. Communications of the ACM, 46(5), 53–58.
  • Hilbert, M. (2011). Digital gender divide or technologically empowered women in developing countries? A typical case of lies, damned lies, and statistics. Women’s Studies International Forum, 34(6), 479–489.
  • Hofstede, G. (1984). Culture’s consequences: International differences in work-related values (Vol. 5). Beverly Hills, CA: Sage Publications.
  • Hongxia, P., Xianhao, X., & Weidan, L. (2011). Drivers and barriers in the acceptance of mobile payment in China. Presented at the 2011 International Conference on e-Business and e-Government (ICEE), Shanghai, China (pp. 1–4). IEEE.
  • Howell, J. M., & Higgins, C. A. (1990). Champions of technological innovation. Administrative Science Quarterly, 35(2), 317–341.
  • 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.
  • Humphrey, D. B., Kim, M., & Vale, B. (2001). Realizing the gains from electronic payments: Costs, pricing, and payment choice. Journal of Money, Credit and Banking, 33(2), 216–234.
  • Jacob, F. (2016). The role of M-Pesa in Kenya’s economic and political development. In M. M. Koster, M. M. Kithinji, & J. P. Rotich (Eds.), Kenya after 50: Reconfiguring education, gender, and policy, African Histories and Modernities (pp. 89–100). New York: Palgrave Macmillan US. doi: 10.1057/9781137574633_6
  • Jelinek, R., Ahearne, M., Mathieu, J., & Schillewaert, N. (2006). A longitudinal examination of individual, organizational, and contextual factors on sales technology adoption and job performance. Journal of Marketing Theory and Practice, 14(1), 7–23.
  • Jeon, B. N., Han, K. S., & Lee, M. J. (2006). Determining factors for the adoption of e-business: The case of SMEs in Korea. Applied Economics, 38(16), 1905–1916.
  • Kailani, M., & Kumar, R. (2011). Investigating uncertainty avoidance and perceived risk for impacting Internet buying: A study in three national cultures. International Journal of Business and Management, 6(5), 76.
  • Kalinic, Z., Marinkovic, V., Molinillo, S., & Liébana-Cabanillas, F. (2019). A multi-analytical approach to peer-to-peer mobile payment acceptance prediction. Journal of Retailing and Consumer Services, 49, 143–153.
  • Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2015). Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service. Information Systems Frontiers, 17(5), 1039–1056.
  • Karnouskos, S. (2004). Security, trust and privacy in the secure mobile payment service. New York City, 8.
  • Kesharwani, A., & Singh Bisht, S. (2012). The impact of trust and perceived risk on internet banking adoption in India: An extension of technology acceptance model. International Journal of Bank Marketing, 30(4), 303–322.
  • Khalifa, M., & Shen, K. N. (2008). Explaining the adoption of transactional B2C mobile commerce. Journal of Enterprise Information Management, 21(2), 110–124.
  • Khraim, H. S., Al Shoubaki, Y. E., & Khraim, A. S. (2011). Factors affecting Jordanian consumers’ adoption of mobile banking services. International Journal of Business and Social Science, 2(20), Retrieved from http://search.proquest.com/openview/5e62407709d449bffa7fe65534d67c09/1?pq-origsite=gscholar&cbl=646295
  • Kim, M., Zoo, H., Lee, H., & Kang, J. (2018). Mobile financial services, financial inclusion, and development: A systematic review of academic literature. The Electronic Journal of Information Systems in Developing Countries, 84(5), e12044.
  • Kimenyi, M. S., & Ndung’u, N. S. (2009). Expanding the financial services frontier. M, 7.
  • Kishore, R. (2017, November 8). One year after demonetisation, cash is still king. Livemint. Retrieved from https://www.livemint.com/Industry/S0AwBRAYuGbJw0SoXOaUaO/One-year-after-demonetisation-cash-is-still-king.html
  • Kline, R. B. (2015). Principles and practice of structural equation modeling (5th ed.). New York, NY: Guilford Press.
  • Koenig-Lewis, N., Palmer, A., & Moll, A. (2010). Predicting young consumers’ take up of mobile banking services. International Journal of Bank Marketing, 28(5), 410–432.
  • Koksal, M. H. (2016). The intentions of Lebanese consumers to adopt mobile banking. International Journal of Bank Marketing, 34(3), 327–346.
  • Kwatra, N. (2019, April 25). Indian merchants do not want to go digital. Livemint. Retrieved from https://www.livemint.com/industry/banking/indian-merchants-do-not-want-to-go-digital-1556187518672.html
  • Lai, P. C. (2017). The literature review of technology adoption models and theories for the novelty technology. Journal of Information Systems and Technology Management: JISTEM; Sao Paulo, 14(1), 21–38.
  • Laukkanen, T. (2015). How uncertainty avoidance affects innovation resistance in mobile banking: The moderating role of age and gender. 2015 48th Hawaii international conference on System Sciences, Kauai, HI (pp. 3601–3610). IEEE.
  • Laukkanen, T., & Kiviniemi, V. (2010). The role of information in mobile banking resistance. International Journal of Bank Marketing, 28(5), 372–388.
  • Lawrence, J. E., & Tar, U. A. (2010). Barriers to ecommerce in developing countries, 13.
  • Lee, K. C., & Chung, N. (2009). Understanding factors affecting trust in and satisfaction with mobile banking in Korea: A modified DeLone and McLean’s model perspective. Interacting with Computers, 21(5–6), 385–392.
  • Lee, J., Ryu, M. H., & Lee, D. (2019). A study on the reciprocal relationship between user perception and retailer perception on platform-based mobile payment service. Journal of Retailing and Consumer Services, 48, 7–15.
  • Lee, C.-P., Warkentin, M., & Choi, H. (2004). The role of technological and social factors on the adoption of mobile payment technologies. New York, 7.
  • Leidner, D. E., & Kayworth, T. (2006). Review: A review of culture in information systems research: Toward a theory of information technology culture conflict. MIS Quarterly, 30(2), 357–399.
  • Li, J., Wang, J., Wangh, S., & Zhou, Y. (2019). Mobile payment with Alipay: An application of extended technology acceptance model. IEEE Access, 7, 50380–50387.
  • Liébana-Cabanillas, F., Muñoz-Leiva, F., & Sánchez-Fernández, J. (2013). The impact of risk on the technological acceptance of mobile payment services. Global Business Perspectives, 1(4), 309–328.
  • Liébana-Cabanillas, F., Muñoz-Leiva, F., & Sánchez-Fernández, J. (2018). A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment. Service Business, 12(1), 25–64.
  • Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014a). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464–478.
  • Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014b). Role of gender on acceptance of mobile payment. Industrial Management & Data Systems, 114(2), 220–240.
  • Limayem, M., Hirt, S. G., & Cheung, C. M. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31, 705–737.
  • Lin, H.-F. (2011). An empirical investigation of mobile banking adoption: The effect of innovation attributes and knowledge-based trust. International Journal of Information Management, 31(3), 252–260.
  • Lin, K.-Y., Wang, Y.-T., & Huang, T. K. (2018).
  • Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114–121.
  • Liu, Y., Kostakos, V., & Deng, S. (2013). Risks of using NFC mobile payment: Investigating the moderating effect of demographic attributes. Effective, Agile and Trusted eServices Co-Creation, 125, 125–134.
  • Lu, Y., Yang, S., Chau, P. Y. K., & 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.
  • Luarn, P., & Lin, H.-H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873–891.
  • Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49(2), 222–234.
  • Maji, P. (2017). Demonetisation keeps digital payments up; cashless transactions grow 13.5% in September. Retrieved from https://www.businesstoday.in/money/banking/demonetisation-digital-payments-cashless-transactions-ewallets-credit-card-debit-card-paytm/story/263466.html
  • Malaquias, R. F., & Hwang, Y. (2016). An empirical study on trust in mobile banking: A developing country perspective. Computers in Human Behavior, 54, 453–461.
  • Malhotra, N. (2008). Completion time and response order effects in web surveys. Public Opinion Quarterly, 72(5), 914–934.
  • Mallat, N. (2007). Exploring consumer adoption of mobile payments – A qualitative study. The Journal of Strategic Information Systems, 16(4), 413–432.
  • Mallat, N., & Tuunainen, V. K. (2008). Exploring merchant adoption of mobile payment systems: An empirical study. E-Service Journal, 6(2), 24–57.
  • Mbiti, I., & Weil, D. N. (2011). Mobile banking: The impact of M-Pesa in Kenya (Working Paper No. 17129). National Bureau of Economic Research. Retrieved from http://www.nber.org/papers/w17129
  • Mbogo, M. (2010). The impact of mobile payments on the success and growth of micro-business: The case of M-Pesa in Kenya. Journal of Language, Technology & Entrepreneurship in Africa, 2(1), 182–203.
  • Mirabaud, N. (2009). Migrants’ remittances and mobile transfer in emerging markets. International Journal of Emerging Markets, 4(2), 108–118.
  • MoneyLife Digital Team. (2019, March). Aadhaar BHIM transactions fall 30% in past 5 months. Retrieved from https://www.moneylife.in/article/aadhaar-bhim-transactions-fall-30-percentage-in-past-5-months/56577.html?utm_source=PoweRelayEDM&utm_medium=Email&utm_content=Subscriber%235826&utm_campaign=12%20March%20Newsletter%202019
  • Morawczynski, O., & Miscione, G. (2008). Exploring trust in mobile banking transactions: The case of M-PESA in Kenya, 10.
  • Mostafa, A., & Eneizan, B. (2018). Factors affecting acceptance of mobile banking in developing countries. International Journal of Academic Research in Business and Social Sciences, 8(1), 340–351.
  • Muñoz-Leiva, F., Climent-Climent, S., & Liébana-Cabanillas, F. (2017). Determinants of intention to use the mobile banking apps: An extension of the classic TAM model. Spanish Journal of Marketing—ESIC, 21(1), 25–38.
  • Musa, P. F. (2006). Making a case for modifying the technology acceptance model to account for limited accessibility in developing countries. Information Technology for Development, 12(3), 213–224.
  • Musa, A., Khan, H., & Alshare, K. (2015). Factors influence consumers’ adoption of mobile payment devices in Qatar (Vol. 13).
  • Nag, O. S. (2019, March). Countries with the most people living abroad—Emigration rate by country. WorldAtlas. Retrieved from https://www.worldatlas.com/articles/countries-with-the-most-emigrants-living-abroad.html
  • Nargis, N., Ruthbah, U. H., Hussain, A. K. M. G., Fong, G. T., Huq, I., & Ashiquzzaman, S. M. (2014). The price sensitivity of cigarette consumption in Bangladesh: Evidence from the international tobacco control (ITC) Bangladesh wave 1 (2009) and wave 2 (2010) surveys. Tobacco Control, 23(Suppl. 1), i39–i47.
  • Ndiwalana, A., & Popov, O. (2008). Mobile payments: A comparison between Philippine and Ugandan contexts.
  • Norzaidi, M., Kassim, N. E. M., Said, W. S. R. W. M., & Noor, M. M. M. (2011). Determining critical success factors of mobile banking adoption in Malaysia (Vol. 5).
  • Ojha, S. (2018, August 23). Top 5 trending mobile wallets in India. Livemint. Retrieved from https://www.livemint.com/Companies/fxk2sJoKy7aQd9apRKEXqL/Top-5-trending-mobile-wallets-in-India.html
  • Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689–703.
  • 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, 404–414.
  • Osei-Bryson, K.-M. (2014). Overview on decision tree induction. In K.-M. Osei-Bryson & O. Ngwenyama (Eds.), Advances in research methods for information systems research: Data mining, data envelopment analysis, value focused thinking, integrated series in information systems (pp. 15–22). Boston, MA: Springer US. doi: 10.1007/978-1-4614-9463-8_3
  • Osei-Bryson, K.-M., & Ngwenyama, O. (2011). Using decision tree modelling to support Peircian abduction in IS research: A systematic approach for generating and evaluating hypotheses for systematic theory development. Information Systems Journal, 21(5), 407–440.
  • Pal, A., De’, R., Herath, T., & Rao, H. R. (2019). A review of contextual factors affecting mobile payment adoption and use. Journal of Banking and Financial Technology. doi: 10.1007/s42786-018-00005-3
  • Pal, A., Herath, T., De’, R., & Rao, H. R. (2018a). An investigation of affordances and constraints for continued usage of mobile payment technology. Proceedings annual workshop of the AIS special interest group for ICT in global development. Presented at the GlobDev 2018, San Francisco.
  • Pal, A., Herath, T., De’, R., & Rao, H. R. (2018b). Factors facilitating adoption of mobile payment services over credit/debit cards: An investigation after the demonetization policy shock in India. PACIS 2018 proceedings. In Presented at the Pacific Asia conference on information systems, AIS eLibrary (p. 337). Retrieved from https://aisel.aisnet.org/pacis2018/337
  • Park, J., Ahn, J., Thavisay, T., & Ren, T. (2019). Examining the role of anxiety and social influence in multi-benefits of mobile payment service. Journal of Retailing and Consumer Services, 47, 140–149.
  • Parmar, B. (2016, November 23). Now buy paan or chaat through the m-wallet. Hindustan Times. Retrieved from https://www.hindustantimes.com/business-news/now-buy-paan-or-chaat-through-the-m-wallet/story-yHSDpaBz4xNkVpqhjeT0DK.html
  • Pelletier, A., Khavul, S., & Estrin, S. (2017). Mobile payment services in developing countries: Firm capabilities and financial development, 40.
  • Phonthanukitithaworn, C. (2015). User intentions to adopt mobile payment services: A study of early adopters in Thailand. Journal of Internet Banking and Commerce, 20(1), 29.
  • Phonthanukitithaworn, C., Sellitto, C., & Fong, M. W. (2016). An investigation of mobile payment (m-payment) services in Thailand. Asia-Pacific Journal of Business Administration, 8(1), 37–54.
  • Png, I. P., Tan, B. C., & Wee, K.-L. (2001). Dimensions of national culture and corporate adoption of IT infrastructure. IEEE Transactions on Engineering Management, 48(1), 36–45.
  • Poisson, G. (2011). Cash transfer programming in emergencies: Cash transfer mechanisms and disaster preparedness in the Philippines. Oxford: Cash Learning Partnership (CaLP).
  • Polatoglu, V. N., & Ekin, S. (2001). An empirical investigation of the Turkish consumers’ acceptance of Internet banking services. International Journal of Bank Marketing, 19(4), 156–165.
  • Poushter, J., & Castillo, A. (2019, March 4). Methodology – Spring 2018 global attitudes survey: U.S.-German relations. Pew Research Center’s Global Attitudes Project. Retrieved https://www.pewresearch.org/global/2019/03/04/u-s-german-relations-methodology-spring-2018-global-attitudes-survey/
  • Pousttchi, K. (2003). Conditions for acceptance and usage of mobile payment procedures. G. M., 11.
  • Püschel, J., Mazzon, J. A., & Hernandez, J. M. C. (2010). Mobile banking: Proposition of an integrated adoption intention framework. International Journal of Bank Marketing, 28(5), 389–409.
  • Qasim, H., & Abu-Shanab, E. (2016). Drivers of mobile payment acceptance: The impact of network externalities. Information Systems Frontiers, 18(5), 1021–1034.
  • Raleting, T., & Nel, J. (2011). Determinants of low-income non-users attitude towards WIG mobile phone banking: Evidence from South Africa. African Journal of Business Management, 5(1), 212–223.
  • Rathee, K. (2018, September 24). Women’s share of India’s mobile subscriber base is a meagre 17.4%: DoT data. Business Standard India. Retrieved from https://www.business-standard.com/article/current-affairs/india-has-only-a-meagre-17-4-women-mobile-subscribers-says-dot-data-118092300721_1.html
  • Ray, A. (2019, June 4). Strong regulations help India’s payments system grow, says RBI. The Economic Times. Retrieved from https://economictimes.indiatimes.com/industry/banking/finance/strong-regulations-help-indias-payments-system-grow-says-rbi/articleshow/69654223.cms
  • Reynolds, W. M. (1982). Development of reliable and valid short forms of the marlowe-crowne social desirability scale. Journal of Clinical Psychology, 38(1), 119–125.
  • Riquelme, H. E., & Rios, R. E. (2010). The moderating effect of gender in the adoption of mobile banking. International Journal of Bank Marketing, 28(5), 328–341.
  • Rogers, E. (2004). Diffusion of innovations (5th ed.). New York, NY: Free press.
  • Rouvinen, P. (2006). Diffusion of digital mobile telephony: Are developing countries different? Telecommunications Policy, 30(1), 46–63.
  • Roy, A. (2017, July 3). Cash is still king as circulation nears pre-demonetisation level: Report. Business Standard India. Retrieved from https://www.business-standard.com/article/economy-policy/cash-is-still-king-as-circulation-nears-pre-demonetisation-level-report-117070200594_1.html
  • Sanou, B. (2017). ICT facts figures 2017. Retrieved from https://www.itu.int/en/ITU-D/Statistics/Documents/facts/ICTFactsFigures2017.pdf
  • Sein, M. K., & Furuholt, B. (2012). Intermediaries: Bridges across the digital divide. Information Technology for Development, 18(4), 332–344.
  • Sen, A. (2001). Development as freedom. Oxford: OUP.
  • Shao, Z., Zhang, L., Li, X., & Guo, Y. (2019). Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender. Electronic Commerce Research and Applications, 33, 100823.
  • Sharma, S. K. (2017). Integrating cognitive antecedents into TAM to explain mobile banking behavioral intention: A SEM-neural network modeling. Information Systems Frontiers. doi: 10.1007/s10796-017-9775-x
  • Sharma, S. K., Mangla, S. K., Luthra, S., & Al-Salti, Z. (2018). Mobile wallet inhibitors: Developing a comprehensive theory using an integrated model. Journal of Retailing and Consumer Services, 45, 52–63.
  • Shen, Y.-C., Huang, C.-Y., Chu, C.-H., & Hsu, C.-T. (2010). A benefit–cost perspective of the consumer adoption of the mobile banking system. Behaviour & Information Technology, 29(5), 497–511.
  • Sheth, J. N., & Ram, S. (1989). Consumer resistance to innovations: The marketing problem and its solutions. Journal of Consumer Marketing, 6(2), 5–14.
  • Shin, D.-H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343–1354.
  • Shin, D.-H. (2010). Modeling the interaction of users and mobile payment system: Conceptual framework. International Journal of Human-Computer Interaction, 26(10), 917–940.
  • Silver, L., Smith, A., Johnson, C., Taylor, K., Jiang, J., Anderson, M., & Rainie, L. (2019, March 7). Use of smartphones and social media is common across most emerging economies | Pew Research Center. Retrieved from https://www.pewinternet.org/2019/03/07/use-of-smartphones-and-social-media-is-common-across-most-emerging-economies/
  • Singh, A. (2013, February 7). Smartphone ownership in India depends upon income level and age: [Report]. Dazeinfo. Retrieved from https://dazeinfo.com/2013/02/07/smartphone-ownership-in-india-depends-income/
  • Singh, S. (2018, January 4). BHIM app behind country’s digital payment ecosystem. The Economic Times. Retrieved from https://economictimes.indiatimes.com/industry/banking/finance/banking/bhim-app-behind-countrys-digital-payment-ecosystem/articleshow/62358183.cms
  • Singh, S., Srivastava, V., & Srivastava, R. (2010). Customer acceptance of mobile banking: A conceptual framework. SIES Journal of Management, 7(1), 55.
  • Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: Extending UTAUT with innovativeness, risk, and trust: Consumers’ adoption intentions of remote mobile payments. Psychology & Marketing, 32(8), 860–873.
  • Slade, E. L., Williams, M., & Dwivdei, Y. (2013). Extending UTAUT2 to explore consumer adoption of mobile payments, 23.
  • Slade, E. L., Williams, M. D., & Dwivedi, Y. K. (2014, Autumn). Devising a research model to examine adoption of mobile payments: An extension of UTAUT2. Text. Retrieved from https://www.ingentaconnect.com/content/westburn/tmr/2014/00000014/00000003/art00007
  • Smith, M. L., Spence, R., & Rashid, A. T. (2011). Mobile phones and expanding human capabilities. Information Technologies & International Development, 7(3), 77–88.
  • Sohail, M. S., & Al-Jabri, I. M. (2014). Attitudes towards mobile banking: Are there any differences between users and non-users? Behaviour & Information Technology, 33(4), 335–344.
  • Song, Y. (2011). What are the affordances and constraints of handheld devices for learning in higher education. British Journal of Educational Technology, 42(6), E163–E166.
  • Sood, S. (2017, January 15). Bridging the digital divide- Business News. Retrieved from https://www.businesstoday.in/magazine/features/today-the-digital-divide-in-india-is-real-illiteracy-rate-is-25-30-per-cent-and-digital-illiteracy-is-even-higher/story/242997.html
  • Srivastava, M., & Thakur, R. (2013). Customer usage intention of mobile commerce in India: An empirical study. Journal of Indian Business Research, 5(1), 52–72.
  • Strader, T. J., Ramaswami, S. N., & Houle, P. A. (2007). Perceived network externalities and communication technology acceptance. European Journal of Information Systems, 16(1), 54–65.
  • Straub, D., Boudreau, M.-C., & Gefen, D. (2004). Validation guidelines for IS positivist research. Communications of the Association for Information Systems, 13(1), 24.
  • Straub, D., Limayem, M., & Karahanna-Evaristo, E. (1995). Measuring system usage: Implications for IS theory testing. Management Science, 41(8), 1328–1342.
  • Susanto, T. D., & Aljoza, M. (2015). Individual acceptance of e-government services in a developing country: Dimensions of perceived usefulness and perceived ease of use and the importance of trust and social influence. Procedia Computer Science, 72, 622–629.
  • Tan, G. W.-H., Ooi, K.-B., Chong, S.-C., & Hew, T.-S. (2014). NFC mobile credit card: The next frontier of mobile payment? Telematics and Informatics, 31(2), 292–307.
  • Teo, E., Fraunholz, B., & Unnithan, C. (2005). Inhibitors and facilitators for mobile payment adoption in Australia: A preliminary study. In Presented at the international conference on mobile business (ICMB’05) (pp. 663–666). Sydney: IEEE. Retrieved from http://ieeexplore.ieee.org/document/1493680/
  • Thadani, M. (2018, August 11). Study: Indian has highest gender gap in mobile phone ownership. SheThePeople TV. Retrieved from https://www.shethepeople.tv/news/study-indian-highest-gender-gap-mobile-phone-ownership
  • 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), 17–30.
  • Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369–392.
  • 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.
  • Tseng, J.-T., Han, H.-L., Su, Y.-H., & Fan, Y.-W. (2017). The influence of intention to use the mobile banking-the privacy mechanism perspective. Journal of Management Research, 9(1), 117–137.
  • van der Heijden, H. (2002). Factors affecting the successful introduction of mobile payment systems, 14.
  • 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.
  • Venkatesh, V., Thong, J. Y. L., & 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.
  • Verkijika, S. F. (2018). Factors influencing the adoption of mobile commerce applications in Cameroon. Telematics and Informatics, 35(6), 1665–1674.
  • Walsham, G. (2017). ICT4D research: Reflections on history and future agenda. Information Technology for Development, 23(1), 18–41.
  • Wong, K. K.-K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1), 1–32.
  • World Economic Situation and Prospects. (2014). Country classification. Retrieved from https://www.un.org/en/development/desa/policy/wesp/wesp_current/2014wesp_country_classification.pdf
  • Xin, H., Techatassanasoontorn, A. A., & Tan, F. B. (2015). Antecedents of consumer trust in mobile payment adoption. Journal of Computer Information Systems, 55(4), 1–10.
  • Yan, A. W., Md-Nor, K., Abu-Shanab, E., & Sutanonpaiboon, J. (2009). Factors that affect mobile telephone users to use mobile payment solution, 13.
  • 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, 28(1), 129–142.
  • Zhang, L., Zhu, J., & Liu, Q. (2012). A meta-analysis of mobile commerce adoption and the moderating effect of culture. Computers in Human Behavior, 28(5), 1902–1911.
  • Zhou, T. (2011). An empirical examination of initial trust in mobile banking. Internet Research, 21(5), 527–540.
  • Zhou, T. (2012). Understanding users’ initial trust in mobile banking: An elaboration likelihood perspective. Computers in Human Behavior, 28(4), 1518–1525.
  • Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085–1091.
  • Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, Emerging and Scripted Roles in Computer-Supported Collaborative Learning, 26(4), 760–767.

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