A moderated mediation analysis on fintech adoption, social influence, competitiveness and financial performance of commercial banks in Pakistan
-
DOIhttp://dx.doi.org/10.21511/bbs.18(4).2023.19
-
Article InfoVolume 18 2023, Issue #4, pp. 226-240
- 550 Views
-
267 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Commercial banks in Pakistan have a great potential to improve competitiveness and financial performance through fintech adoption. Therefore, this study aims to assess the impact of fintech adoption on financial performance of commercial banks while emphasizing the moderating role of social influence and mediating role of competitiveness in the banks in Pakistan. A cross-sectional survey was conducted with five largest and most reputed commercial banks in Pakistan. Bank employees, particularly bank managers, were chosen as the respondents. The sample size for the study was 367 bank managers selected randomly from the chosen commercial banks. A standardized and structured questionnaire was used to interview the selected respondents to collect primary data. The partial least square structural equation modelling was employed to analyze the data and process the findings of the study. The analysis revealed that 62% of the respondents were male, and nearly 47% were in the age of 40 years and above. The study found a positive and significant impact of fintech adoption on the financial performance of banks. It was also found that social influence had a significant impact on banks’ competitiveness. Moreover, the findings revealed that competitiveness had a significant mediation impact on the increase in fintech adoption and consequently on the financial performance of banks.
Acknowledgment
The authors are thankful to the respondents (i.e., the employees of the selected banks) to participate in the survey without any financial benefit.
- Keywords
-
JEL Classification (Paper profile tab)G21, O33
-
References80
-
Tables6
-
Figures3
-
- Figure 1. Research model and hypotheses
- Figure 2. Assessment of the measurement model
- Figure 3. Assessment of the structural model
-
- Table 1. Variables and their measurements
- Table 2. Demographic profile of the respondents
- Table 3. Summary findings of reliability of the constructs
- Table 4. Assessment of convergent validity
- Table 5. Discriminant validity matrix using the Fornell-Larker approach
- Table 6. Summary findings of hypothesis testing
-
- Al-Matari, E. M., Al-Swidi, A. K., & Fadzil, F. H. (2014). The measurements of firm performance’s dimensions. Asian Journal of Finance and Accounting, 6(1), 24-49.
- Al-Muharrami, S. (2009). The competition and market structure in the Saudi Arabia banking. Journal of Economic Studies, 36(5), 446-460.
- Al-Muharrami, S., Matthews, K., & Khabari, Y. (2006). Market structure and competitive conditions in the Arab GCC banking system. Journal of Banking & Finance, 30(12), 3487-3501.
- Arulraj, D. J., & Annamalai, T. R. (2020). Firms’ financing choices and firm productivity: Evidence from an emerging economy. International Journal of Global Business and Competitiveness, 15, 35-48.
- Baba, F., & Nasieku, A. M. (2016). Effect of Macroeconomic Factors On Financial Performance of Commercial Banks in Nigeria. International Journal of Social Sciences and Information Technology, 2(9), 1278-1299.
- Belaisch, M. A. (2003). Do Brazilian banks compete? (IMF Working Paper WP/03/113). International Monetary Fund.
- Bömer, M. (2020). Competitiveness of Fintech: An Investigation into Different Levels of Competitiveness Using Young Enterprises from the Financial Technology Industry (Doctoral Thesis). Heinrich Heine University Duesseldorf.
- Bos, J. W. B., Kolari, J. W., & van Lamoen, R. C. R. (2013). Competition and Innovation: Evidence from Financial Services. Journal of Banking and Finance, 37(5), 1590-1601.
- Bozan, K., Parker, K., & Davey, B. (2016). A closer look at the social influence construct in the UTAUT Model: An institutional theory-based approach to investigate health IT adoption patterns of the elderly. Proceedings of the Annual Hawaii International Conference on System Sciences (pp. 3105-3114). Koloa, HI.
- Chen, K. C. (2020). Implications of Fintech developments for traditional banks. International Journal of Economics and Financial Issues, 10(5), 227-235.
- Chi, H., Yeh, H., & Hung, W. C. (2012). The moderating effect of subjective norm on cloud computing users’ perceived risk and usage intention. International Journal of Marketing Studies, 4(6), 95-102.
- Chiu, Y.-T. H., Lee, W.-I., Liu, C.-C., & Liu, L.-Y. (2012). Internet lottery commerce: An integrated view of online sport lottery adoption. Journal of Internet Commerce, 11(1), 68-80.
- Chong, A. Y. L., Darmawan, N., Ooi, K. B., & Lin, B. (2010). Adoption of 3G services among Malaysian consumers: An empirical analysis. International Journal of Mobile Communication, 8(2), 129-149.
- Christensen, H. (2010). Defining customer value as the driver of competitive advantage. Strategy & Leadership, 38(5), 20-25.
- Claessens, S., & Laeven, L. (2004). What drives bank competition? Some international evidence. Journal of Money, Credit, and Banking, 36(3), 563-583.
- David, F. (2017). Strategic management, a competitive advantage approach, Concepts and cases (16th ed.). Pearson Education.
- 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 Social Change, 146, 931-944.
- Dwivedi, P., Alabdooli, J. I., & Dwivedi, R. (2021). Role of FinTech Adoption for Competitiveness and Performance of the Bank: A Study of Banking Industry in UAE. International Journal of Global Business and Competitiveness, 16, 130-138.
- Egbendewe, A. Y., & Oloufade, D. K. (2020). Good institutions and banking sector competitiveness: A semi-parametric evidence. Finance Research Letters, 36, 101342.
- Esteban-Sanchez, P., de la Cuesta-Gonzalez, M., & Paredes-Gazquez, J. D. (2017). Corporate social performance and its relation with corporate financial performance: International evidence in the banking industry. Journal of Cleaner Production, 162, 1102-1110.
- Eyasu, A. M., & Arefayne, D. (2020). The effect of corporate social responsibility on banks’ competitive advantage: Evidence from Ethiopian lion international bank SC. Cogent Business & Management, 7(1), 1830473.
- Fedorko, I., Bačik, R., & Gavurova, B. (2021). Effort expectancy and social influence factors as main determinants of performance expectancy using electronic banking. Banks and Bank Systems, 16(2), 27.
- Ferri, L. M., & Pedrini, M. (2018). Socially and environmentally responsible purchasing: Comparing the impacts on buying firm’s financial performance, competitiveness and risk. Journal of Cleaner Production, 174, 880-888.
- Fiordelisi, F., Marques-Ibanez, D., & Molyneux, P. (2011). Efficiency and risk taking in European banking. Journal of Banking and Finance, 35(5), 1315-1326.
- Fornell, C., & Larcker, D. F. (1981). Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18(3), 382-388.
- Fougner, T. (2008). Neoliberal governance of states: the role of competitiveness indexing and country benchmarking. Millennium: Journal of International Studies, 37(2), 303-326.
- Glavina, S. G., Aidrus, I. A., & Trusova, A. A. (2020). Assessment of the competitiveness of implementation of Islamic financial technologies. Proceedings of the International Conference Digital Age: Traditions, Modernity, and Innovations (ICDATMI) (pp. 201-207). Atlantis Press.
- Guiso, L., Jappelli, T., Padula, M., Pagano, M., Martin, P., & Gourinchas, P.-O. (2004). Financial market integration and economic growth in the EU. Economic Policy, 19(40), 524-577.
- Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced Issues in Partial Least Squares Structural Equation Modeling. New York, NY, USA: SAGE publications.
- Hamari, J., & Koivisto, J. (2015). “Working out for likes”: An empirical study on social influence in exercise gamification. Computers in Human Behavior, 50, 333-347.
- Hannoon, A., Al-Sartawi, A., Musleh, M. A., & Khalid, A. A. (2021). Relationship between financial technology and financial performance. In Musleh Al-Sartawi, A. M. A. (Ed.), The Big Data-Driven Digital Economy: Artificial and Computational Intelligence (pp. 337-344). Cham: Springer.
- Haqqi, F. R., & Suzianti, A. (2020). Exploring Risk and Benefit Factors Affecting User Adoption Intention of Fintech in Indonesia. Proceedings of the 3rd Asia Pacific Conference on Research in Industrial and Systems Engineering (pp. 13-18). Depok, Indonesia.
- He, M. D., Leckow, M. R. B., Haksar, M. V., Griffoli, M. T. M., Jenkinson, N., Kashima, M. M., & Tourpe, H. (2017). Fintech and Financial Services: Initial Considerations (Staff Discussion Notes No. 2017/005). International Monetary Fund.
- Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption intention of fintech services for bank users: An empirical examination with an extended technology acceptance model. Symmetry, 11(3), 340.
- Hussain, A., Ahmad, S. A., & Mia, M. S. (2023). A systematic literature review on performance of social enterprises. Cogent Economics & Finance, 11(2), 2269738.
- Kemunto, E. R., & Kagiri, A. (2018). Effect of implementation of Fintech strategies on competitiveness in the banking sector in Kenya: A case of KCB Bank Kenya. European Journal of Business and Strategic Management, 3(3), 29-40.
- Kiilu, N. (2018). Effect of Fintech Firms on Financial Performance of the Banking Sector in Kenya (Doctoral Thesis). University of Nairobi.
- Klingebiel, D. (2000). Financial restructuring in East Asia. Washington D.C.: The World Bank.
- KPMG Taseer Hadi & Co. (2020). Banking Results 2019: Commercial Banks Operating in Pakistan.
- Kwon, O., Choi, K., & Kim, M. (2007). User acceptance of context-aware services: self-efficacy, user innovativeness and perceived sensitivity on contextual pressure. Behaviour & Information, Technology, 26(6), 483-498.
- Lan, V. T. P., & Giang, N. T. (2021). Bank’s brand, social influence, and its impact on the decision on using mobile banking services of individual customers: An empirical study. Accounting, 7(4), 925-932.
- Lee, I., & Shin, Y. J. (2018). Fintech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, 61(1), 35-46.
- Matthews, K., Murinde, V., & Zhao, T. (2007). Competitive conditions among the major British banks. Journal of Banking & Finance, 31(7), 2025-2042.
- Mirza, F. M., Bergland, O., & Khatoon, I. (2016). Measuring the degree of competition in Pakistan’s banking industry: an empirical analysis. Applied Economics, 48(53), 5138-5151.
- Mittal, R. K., Sinha, N., & Singh, A. (2008). An analysis of linkage between economic value-added and corporate social responsibility. Management Decision, 46(9), 1437-1443.
- Momaya, K. S. (2019). The past and the future of competitiveness research: A review in an emerging context of innovation and EMNEs. International Journal of Global Business and Competitiveness, 14, 1-10.
- Momaya, K. S., Pandey, P., Vallaturu, V. K., Sonar, R. M., & Bodduri, A. K. S. (2020). Fintech platforms, and competitiveness: Exploring role of MoT as a differentiator for firms of Indian origin (FIOs). Proceedings of 29th International Conference on Management of Technology (pp. 1174-1188).
- Mombeuil, C. (2020). An exploratory investigation of factors affecting and best predicting the renewed adoption of mobile wallets. Journal of Retailing and Consumer Services, 55, 102127.
- Momeni, M., Kheiry, B., & Dashtipour, M. (2013). Analysis of the effects of electronic banking on customer satisfaction and loyalty (Case study: Selected branches of Melli Bank in Tehran). Interdisciplinary Journal of Contemporary Research in Business, 4(12), 230-241.
- Moufakkir, M., & Mohammed, Q. (2020). The Nexus Between FinTech Adoption and Financial Inclusion. In N. Naifar (Ed.), Impact of Financial Technology (FinTech) on Islamic Finance and Financial Stability (pp. 193-209). IGI Global: Hershey, PA, USA.
- Naeem, M. (2019). Do social networking platforms promote service quality and purchase intention of customers of service-providing organizations? Journal of Management Development, 38(7), 561-581.
- Naeem, M. (2020). Developing the antecedents of social influence for internet banking adoption through social networking platforms: evidence from conventional and Islamic banks. Asia Pacific Journal of Marketing and Logistics, 33(1), 185-204.
- Ndunga, R. M., Njati, I. C., & Rukangu, S. (2016). Influence of Technological Innovation and Bank Performance in Meru Town, Kenya. International Journal of Economics, Commerce and Management, 4(11), 481-495.
- Nyamita, M. O. (2014). Factors Influencing Debt Financing and Its Effects on Financial Performance of State Corporations in Kenya (Doctoral Thesis). Durban University of Technology.
- Nzuve, R. M. (2016). Impact of macroeconomic factors on financial performance of deposit taking micro finance institutions in Kenya (Doctoral Thesis).
- Panchal, D., & Krishnamoorthy, B. (2019). Developing an instrument for business model dimensions: Exploring linkages with firm competitiveness. International Journal of Global Business and Competitiveness, 14, 24-41.
- Petrovic-Randelovic, M., Stevanovic, T., & Ivanovic-Dukic, M. (2015). Impact of corporate social responsibility on the competitiveness of multinational corporations. Procedia Economics and Finance, 19, 332-341.
- Rega, F. G. (2017). The bank of the future, the future of banking – An empirical analysis of European banks. SSRN Electronic Journal.
- Reserve Bank of India (RBI). (2001, June). A Report on Internet Banking (RBI Report). RBI Publications.
- Reserve Bank of India (RBI). (2017, November). Report of the Working Group on FinTech and Digital Banking. RBI Publications.
- Rizvi, S. K. A., Naqvi, B., & Tanveer, F. (2018). Is Pakistan ready to embrace Fintech innovation? The Lahore Journal of Economics, 23(2), 151-182.
- Rootman, C., Tait, M., & Sharp, G. (2013). An International Banking Study on the Influence of Demographic Variables on Relationship Marketing. Global Business and Economics Review, 15(2-3), 133-147.
- Ryu, H. S. (2018). What makes users willing or hesitant to use Fintech? The moderating effect of user type. Industrial Management & Data Systems, 118(3), 541-569.
- Saeidi, S. P., Sofian, S., Saeidi, P., Saeidi, S. P., & Saaeidi, S. A. (2015). How does corporate social responsibility contribute to firm financial performance? The mediating role of competitive advantage, reputation, and customer satisfaction. Journal of Business Research, 68(2), 341-350.
- Sarstedt, M., Hair, J. F., Cheah, J. H., Becker, J.-M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197 211.
- Shahid, Q. L. R. (2016). A Framework for Rooting FinTechs in Pakistan. Technical Report. Fin Surgents. Seeding Innovation.
- Singh, N., Sinha, N., & Liébana-Cabanillas, F. J. (2020a). Determining factors in the adoption and recommendation of mobile wallet services in India: Analysis of the effect of innovativeness, stress to use and social influence. International Journal of Information Management, 50, 191-205.
- Singh, S., Sahni, M. M., & Kovid, R. K. (2020b). What drives FinTech adoption? A multimethod evaluation using an adapted technology acceptance model. Management Decision, 58(8), 1675-1697.
- Singh, S., Sahni, M. M., & Kovid, R. K. (2021). Exploring trust and responsiveness as antecedents for intention to use FinTech services. International Journal of Economics and Business Research, 21(2), 254-268.
- Sudiatmika, I. M. A., & Purwanti, P. A. P. (2020) The effect of Fintech transactions, e commerce, and human resources quality on the competitiveness of small medium apparel industries in Denpasar City. American Journal of Humanities and Social Sciences Research (AJHSSR), 4(3), 184-192.
- Tahir, S. H., Shah, S., Arif, F., Ahmad, G., Aziz, Q., & Ullah, M. R. (2018). Does financial innovation improve performance? An analysis of process innovation used in Pakistan. Journal of Innovation Economics Management, 27(3), 195-214.
- The World Bank. (2020). Pakistan population in 2020.
- Treleaven, P. (2015). Financial regulation of fintech. The Journal of Financial Perspectives, 3(3), 114-121.
- 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.
- Wang, Y., Xiuping, S., & Zhang, Q. (2021). Can fintech improve the efficiency of commercial banks? An analysis based on big data. Research in International Business and Finance, 55, 101338.
- Wei, M.-F., Luh, Y.-H., Huang, Y.-H., & Chang, Y.-C. (2021). Young generation’s mobile payment adoption behavior: Analysis based on an extended UTAUT model. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 37.
- World Economic Forum. (2015). The Future of Financial Services: How Disruptive Innovations are Reshaping the Way Financial Services are Structured, Provisioned and Consumed.
- Xie, J., Ye, L., Huang, W., & Ye, M. (2021). Understanding FinTech platform adoption: impacts of perceived value and perceived risk. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1893-1911.
- 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.