Affiliations:
Ballpen Media Pvt. Ltd.
Abstract:
According to a report by EY Global Fintech Adoption Index published in 2019, India's use of fintech increased from 52 percent in 2017 to 87 percent in 2019. Increased digital infrastructure and higher internet penetration are driving the Fintech market. 25% of small businesses around the world have adopted fintech services. This study's objective is to determine the most significant factor influencing small business intentions to use financial technology. The registered MSMEs (Micro, Small and Medium Enterprises) of India are taken into consideration in this study. A close-ended structured questionnaire was used to obtain original data for the paper's descriptive and inferential study design. The information was gathered between December 2021 and February 2022. The financial technology acceptance was found to be affected by Efficiency & security and Reduced cost while original TAM variables which are Perceived ease for use and perceived usefulness was found to be insignificant in case MSME sector. Further, it has been discovered from multi-group analysis that length of work experience of owners/managers has potential difference while adopting financial technology in business.
Keywords:
Fintech, Length of experience, MSMEs, TAM
Publishing Chronology:
Received - 29/8/2024
Accepted - 04/01/2025
References:
- Al Nawayseh, M. K. (2020). Fintech in COVID-19 and beyond: what factors are affecting customers’ choice of fintech applications?. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 153.
- AlSuwaidan, L., & Almegren, N. (2020). Validating the adoption of heterogeneous internet of things with blockchain. Future Internet, 12(6), 107.
- Akhlaq, A., & Ahmed, E. (2015). Digital commerce in emerging economies: Factors associated with online shopping intentions in Pakistan. International Journal of Emerging Markets.
- Azjen, I. & Fishbein,M. (1980). Understanding attitudes and predicting social behavior. Englewood cliffs.
- Brahmana, R. K., Hooy, C. W., & Ahmad, Z. (2012). Psychological factors on irrational financial decision making: Case of day‐of‐the week anomaly. Humanomics.
- Chhabra, S., Raghunathan, R. & Rao, N.M. (2020). The antecedents of entrepreneurial intention among women entrepreneurs in India. Asia Pacific Journal of Innovation and Entrepreneurship.
- Cofer, C. N., & Appley, M. H. (1964). Motivation: Theory and research.
- Cohen, J. (1988), Set correlation and contingency tables, Applied Psychological Measurement, Vol. 12 No. 4, pp. 425-434.
- Davis, F.D., 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, pp.319-340.
- Davis, F. D. (1985). A technology acceptance model for empirically testing new enduser information systems: Theory and results (Doctoral dissertation, Massachusetts Institute of Technology).
- Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management science, 35(8), 982-1003.
- Deb, R., & Baruah, D. (2022). Working Capital Financing for MSMEs in the Pandemic Era: Challenges and Opportunities. SEDME (Small Enterprises Development, Management & Extension Journal), 09708464221097224.
- 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.
- EY global Fintech adoption index., 2019. As Fintech becomes the norm, you need to stand out from the crowd. EY.
- Fearnley, M. R., & Amora, J. T. (2020). Learning Management System Adoption in Higher Education Using the Extended Technology Acceptance Model. IAFOR Journal of Education, 8(2), 89-106.
- Furtado, J., & Assunção, J. F. (2020). Lorentz-violating scalar QED renormalization. arXiv preprint arXiv:2004.05680.
- Folkinshteyn, D., & Lennon, M. (2016). Braving Bitcoin: A technology acceptance model (TAM) analysis. Journal of Information Technology Case and Application Research, 18(4), 220-249.
- Frost, J. (2020). The economic forces driving fintech adoption across countries. The technological revolution in financial services: how banks, fintechs, and customers win together, 70.
- Garg, P., Gupta, B., Chauhan, A. K., Sivarajah, U., Gupta, S., & Modgil, S. (2021). Measuring the perceived benefits of implementing blockchain technology in the banking sector. Technological forecasting and social change, 163, 120407.
- Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of enterprise information management.
- Huang, C., Huang, L., Wang, Y., Li, X., Ren, L., Gu, X., ... & Cao, B. (2021). 6-month consequences of COVID-19 in patients discharged from hospital: a cohort study. The Lancet, 397(10270), 220-232.
- 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.
- Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European business review, 31(1), 2-24.
- Hair Jr, J. F., Sarstedt, M., Matthews, L. M., & Ringle, C. M. (2016). Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I–method. European Business Review.
- Hair Jr, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced issues in partial leastsquaresstructuralequation modeling. saGe publications.
- Harrison, T. S., Onyia, O. P., & Tagg, S. K. (2014). Towards a universal model of internet banking adoption: Initial conceptualization. International Journal of Bank Marketing.
- Hasan, M. B., Mahi, M., Hassan, M. K., & Bhuiyan, A. B. (2021). Impact of COVID-19 pandemic on stock markets: Conventional vs. Islamic indices using wavelet-based multi- timescales analysis. The North American Journal of Economics and Finance, 58, 101504.
- Hong, I. B., & Cho, H. (2011). The impact of consumer trust on attitudinal loyalty and purchase intentions in B2C e-marketplaces: Intermediary trust vs. seller trust. International journal of information management, 31(5), 469-479.
- Hasan, M. N., Anastasiadis, S., Spence, L. J., & Uba, C. D. (2020). Environmental attitudes of polluting SMEs: Qualitative insights from a low‐income developing country. Business Strategy & Development, 3(4), 554-566.
- Jain, G., Singh, H., Chaturvedi, K. R., & Rakesh, S. (2020). Blockchain in logistics industry: in fizz customer trust or not. Journal of Enterprise Information Management.
- Kamble, S. S., Gunasekaran, A., Kumar, V., Belhadi, A., & Foropon, C. (2021). A machine learning based approach for predicting blockchain adoption in supply Chain. Technological Forecasting and Social Change, 163, 120465.
- Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process safety and environmental protection, 117, 408-425.
- Karamchandani, A., Srivastava, S. K., & Srivastava, R. K. (2020). Perception-based model for analyzing the impact of enterprise blockchain adoption on SCM in the Indian service industry. International Journal of Information Management, 52, 102019.
- Kleijnen, M., De Ruyter, K., & Wetzels, M. (2004). Consumer adoption of wireless services: discovering the rules, while playing the game. Journal of interactive marketing, 18(2), 51-61.
- Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration (ijec), 11(4), 1-10.
- Karambut, F. (2021). The effect of marketing mix perception on the intention of online merchant financing. Journal of Small Business Strategy, 31(3), 19-32.
- Liao, C., Chen, J. L., & Yen, D. C. (2007). Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model. Computers in human behavior, 23(6), 2804-2822.
- Lee, M. C. (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(3), 130-141.
- Li, W., Long, R., Chen, H., & Geng, J. (2017). A review of factors influencing consumer intentions to adopt battery electric vehicles. Renewable and Sustainable Energy Reviews, 78, 318-328.
- Muthaher, O., & Assegaf, M. (2014). Model Pengembangan Inovasi Teknologi Dan Kelembagaan Kemitraan Rantai Pasok Guna Meningkatkan Daya Saing UKM. Jurnal Ekonomi dan Bisnis, 15(1), 62-73.
- Nitzl, C., Roldan, J. L., & Cepeda, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Industrial management & data systems.
- Nuryyev, G., Wang, Y. P., Achyldurdyyeva, J., Jaw, B. S., Yeh, Y. S., Lin, H. T., & Wu, L.F. (2020). Blockchain technology adoption behavior and sustainability of the business in tourism and hospitality SMEs: An empirical study. Sustainability, 12(3), 1256.
- Onyia, O. P., & Tagg, S. K. (2011). Effects of demographic factors on bank customers’ attitudes and intention toward Internet banking adoption in a major developing African country. Journal of Financial Services Marketing, 16(3), 294-315.
- Park, J. Y., Ryu, J. P., & Shin, H. J. (2016). Robo advisors for portfolio management. Advanced Science and Technology Letters, 141(1), 104-108.
- Pertiwi, T. K., & Purwanto, E. (2021). Analysis Of Adopting Millennial Generation Financial Technology (Fintech) Services. International Journal of Business Management and Economic Review.
- Plewa, C., Troshani, I., Francis, A., & Rampersad, G. (2012). Technology adoption and performance impact in innovation domains. Industrial Management & Data Systems.
- Rani, N. M., & Ramachandra, K. (2019). A study on consumer perception regarding buying fresh produce in organized retail stores in Bangalore, India: Do demographics matter?. Theoretical Economics Letters, 9(8), 2864-2884.
- Ray, A., Bala, P. K., & Dasgupta, S. A. (2019). Role of authenticity and perceived benefits of online courses on technology based career choice in India: A modified technology adoption model based on career theory. International Journal of Information Management, 47, 140- 151.
- Ringle, C. M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial management & data systems.
- Ringle, C., Da Silva, D., & Bido, D. (2015). Structural equation modeling with the SmartPLS. Bido, D., da Silva, D., & Ringle, C.(2014). Structural Equation Modeling with the Smartpls. Brazilian Journal Of Marketing, 13(2).
- Srivastava, K. (2020). Unfolding FinTech: A paradigm shift in Indian banking. PAIDEUMA JOURNAL, 13(4), 129-136
- Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair Jr, J. F. (2014). Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers. Journal of family business strategy, 5(1), 105-115.
- Streukens, S., Leroi-Werelds, S., & Willems, K. (2017). Dealing with nonlinearity in importance-performance map analysis (IPMA): An integrative framework in a PLSSEM context. In Partial least squares path modeling (pp. 367-403). Springer, Cham.
- Sureephong, P., Sirichai, P., & Winya, S. (2015). Technology Acceptance of Thai Primary Student on Outdoor Learning Activity Using Mobile Device. In Subconscious Learning via Games and Social Media (pp. 101-113). Springer, Singapore.
- Samar, R., & Mazuri, A. G. (2019). Does gamified elements influence on user's intention to adopt internet banking with integration of UTAUT and general selfconfidence?. International Journal of Business Excellence, 19(3), 394-414.
- Soni, G., Kumar, S., Mahto, R. V., Mangla, S. K., Mittal, M. L., & Lim, W. M. (2022). A decision-making framework for Industry 4.0 technology implementation: The case of FinTech and sustainable supply chain finance for SMEs. Technological Forecasting and Social Change, 180, 121686.
- Singh, S. K., & Gaur, S. S. (2018). Entrepreneurship and innovation management in emerging economies. Management Decision.
- Setiawan, R., Cavaliere, L. P. L., Koti, K., Ogunmola, G. A., Jalil, N. A., Chakravarthi, M. K., ... & Singh, S. (2021). The Artificial Intelligence and Inventory Effect on Banking Industrial Performance (Doctoral dissertation, Petra Christian University).
- Tam, T., Rao, A., & Hall, J. (2021). The good, the bad and the missing: a narrative review of cyber-security implications for Australian small businesses. Computers & Security, 109, 102385.
- Weinberg, B. A. (2004). Experience and technology adoption. Available at SSRN 522302.
- Zhou, X., Rodriguez, W. I., Casillas, R. A., Ma, V., Tam, J., Hu, Z., ... & Waschek, J. A. (1999). Axotomy‐induced changes in pituitary adenylate cyclase activating polypeptide (PACAP) and PACAP receptor gene expression in the adult rat facial motor nucleus. Journal of neuroscience research, 57(6), 953-961