Mobile payment-banking efficiency nexus—A concise review of the evolution and empirical exploration of the Taiwan banking industry

Manh-Trung Phung, Chen-Yu Kao, Cheng-Ping Cheng, Yi-Jyun Liu, Lien-Wen Liang

Article ID: 6057
Vol 8, Issue 6, 2024

VIEWS - 162 (Abstract) 57 (PDF)

Abstract


This paper utilizes an advanced Network Data Envelopment Analysis (DEA) model to examine the impact of mobile payment on the efficiency of Taiwan banking industry. Inheriting the literature, we separate the banking operation process into two stages, namely profitability and marketability. Mobile payment is then considered as the core factor in the second stage. Our paper discovers network DEA model can effectively enhance the analysis of banking industry’s efficiency, and mobile payment has a notable impact on Taiwan banking industry. Regarding the profitability stage, there is only one efficient bank in 2019 and 2022, respectively. These banks also perform better in terms of “mobile payment production”. In the marketability stage, there is also only one bank in 2021 and one bank in 2022, that can reach to unique efficiency score. This indicates many banks attempt to increase earnings per share through investing in mobile payment services. However, the achievement still needs more wait. This leads to the fact that no bank can reach the ultimate overall efficiency. Within our sample, we also find that regarding promoting mobile payment services, Private Banks outperform Government Banks.


Keywords


mobile payment; profitability efficiency; marketability efficiency; network data envelopment analysis

Full Text:

PDF


References


Abrahim Sleiman, K. A., Juanli, L., Lei, H. Z., et al. (2023). Factors that impacted mobile-payment adoption in China during the COVID-19 pandemic. Heliyon, 9(5), e16197. https://doi.org/10.1016/j.heliyon.2023.e16197

Albashrawi, M., & Motiwalla, L. (2017). Privacy and Personalization in Continued Usage Intention of Mobile Banking: An Integrative Perspective. Information Systems Frontiers, 21(5), 1031–1043. https://doi.org/10.1007/s10796-017-9814-7

Aloulou, M., Grati, R., Al-Qudah, A. A., et al. (2023). Does FinTech adoption increase the diffusion rate of digital financial inclusion? A study of the banking industry sector. Journal of Financial Reporting and Accounting, 22(2), 289–307. https://doi.org/10.1108/jfra-05-2023-0224

Al-Okaily, M. (2023). The influence of e-satisfaction on users’ e-loyalty toward e-wallet payment apps: a mediated-moderated model. International Journal of Emerging Markets. https://doi.org/10.1108/ijoem-08-2022-1313

Al-Okaily, M., Alqudah, H., Al-Qudah, A. A., et al. (2022). Does financial awareness increase the acceptance rate for financial inclusion? An empirical examination in the era of digital transformation. Kybernetes, 52(11), 4876–4896. https://doi.org/10.1108/k-08-2021-0710

Alsmadi, A. A., Shuhaiber, A., Alhawamdeh, L. N., et al. (2022). Twenty Years of Mobile Banking Services Development and Sustainability: A Bibliometric Analysis Overview (2000–2020). Sustainability, 14(17), 10630. https://doi.org/10.3390/su141710630

Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078–1092. https://doi.org/10.1287/mnsc.30.9.1078

Bardhan, S. (2013). Profit Efficiency of Indian Commercial Banks in the Post-liberalisation Period: A Stochastic Frontier Approach. Margin: The Journal of Applied Economic Research, 7(4), 391–415. https://doi.org/10.1177/0973801013500132

Bianchi, M., Bouvard, M., Gomes, R., et al. (2023). Mobile payments and interoperability: Insights from the academic literature. Information Economics and Policy, 65, 101068. https://doi.org/10.1016/j.infoecopol.2023.101068

Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8

Chen, Y., Liang, L., Yang, F., et al. (2006). Evaluation of information technology investment: a data envelopment analysis approach. Computers & Operations Research, 33(5), 1368–1379. https://doi.org/10.1016/j.cor.2004.09.021

Chen, Y., & Zhu, J. (2004). Measuring Information Technology’s Indirect Impact on Firm Performance. Information Technology and Management Journal, 5(1-2), 9-22. https://doi.org/10.1023/B:ITEM.0000008075.43543.97

Chen, Y., Cook, W. D., Li, N., et al. (2009). Additive efficiency decomposition in two-stage DEA. European Journal of Operational Research, 196(3), 1170–1176. https://doi.org/10.1016/j.ejor.2008.05.011

Cook, W. D., Liang, L., & Zhu, J. (2010). Measuring performance of two-stage network structures by DEA: A review and future perspective. Omega, 38(6), 423–430. https://doi.org/10.1016/j.omega.2009.12.001

De Reuver, M., Verschuur, E., Nikayin, F., et al. (2015). Collective action for mobile payment platforms: A case study on collaboration issues between banks and telecom operators. Electronic Commerce Research and Applications, 14(5), 331–344. https://doi.org/10.1016/j.elerap.2014.08.004

Färe, R., Grosskopf, S. (1996). Productivity and Intermediate Products: A Frontier Approach. Economics Letters, 50(1), 65-70. https://doi.org/10.1016/0165-1765(95)00729-6

Fu, H.-P., Chang, T.-S., Wang, C.-N., et al. (2022). Critical factors affecting the introduction of mobile payment tools by microretailers. Technological Forecasting and Social Change, 175, 121319. https://doi.org/10.1016/j.techfore.2021.121319

Hasan, R., Ashfaq, M., & Shao, L. (2021). Evaluating Drivers of Fintech Adoption in the Netherlands. Global Business Review, 097215092110274. https://doi.org/10.1177/09721509211027402

Hedman, J., & Henningsson, S. (2015). The new normal: Market cooperation in the mobile payments ecosystem. Electronic Commerce Research and Applications, 14(5), 305–318. https://doi.org/10.1016/j.elerap.2015.03.005

Jung, J.-H., Kwon, E., & Kim, D. H. (2020). Mobile payment service usage: U.S. consumers’ motivations and intentions. Computers in Human Behavior Reports, 1, 100008. https://doi.org/10.1016/j.chbr.2020.100008

Khan, I., Rahman, Z., & Fatma, M. (2016). The role of customer brand engagement and brand experience in online banking. International Journal of Bank Marketing, 34(7), 1025–1041. https://doi.org/10.1108/ijbm-07-2015-0110

Kao, C., & Hwang, S.-N. (2008). Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European Journal of Operational Research, 185(1), 418–429. https://doi.org/10.1016/j.ejor.2006.11.041

Koenig-Lewis, N., Marquet, M., Palmer, A., et al. (2015). Enjoyment and social influence: predicting mobile payment adoption. The Service Industries Journal, 35(10), 537–554. https://doi.org/10.1080/02642069.2015.1043278

Kumbhakar, S. C., & Wang, D. (2007). Economic reforms, efficiency and productivity in Chinese banking. Journal of Regulatory Economics, 32(2), 105–129. https://doi.org/10.1007/s11149-007-9028-x

Le, T. DQ., & Ngo, T. (2020). The determinants of bank profitability: A cross-country analysis. Central Bank Review, 20(2), 65–73. https://doi.org/10.1016/j.cbrev.2020.04.001

Le, T. D. Q., Ngo, T., Ho, T. H., et al. (2022). ICT as a Key Determinant of Efficiency: A Bootstrap-Censored Quantile Regression (BCQR) Analysis for Vietnamese Banks. International Journal of Financial Studies, 10(2), 44. https://doi.org/10.3390/ijfs10020044

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. https://doi.org/10.1016/j.intcom.2009.06.004

Lian, J.-W., & Li, J. (2021). The dimensions of trust: An investigation of mobile payment services in Taiwan. Technology in Society, 67, 101753. https://doi.org/10.1016/j.techsoc.2021.101753

Liang, L., Cook, W. D., & Zhu, J. (2008). DEA models for two‐stage processes: Game approach and efficiency decomposition. Naval Research Logistics (NRL), 55(7), 643–653. https://doi.org/10.1002/nav.20308

López-Penabad, M. C., Iglesias-Casal, A., Neto, J. F. S., et al. (2022). Does corporate social performance improve bank efficiency? Evidence from European banks. Review of Managerial Science, 17(4), 1399–1437. https://doi.org/10.1007/s11846-022-00579-9

Luo, X. (2003). Evaluating the Profitability and Marketability Efficiency of Large Banks: An Application of Data Envelopment Analysis. Journal of Business Research, 56(8), 627-635. https://doi.org/10.1016/S0148-2963(01)00293-4

Musa, A., Khan, H. U., & AlShare, K. A. (2015). Factors influence consumers’ adoption of mobile payment devices in Qatar. International Journal of Mobile Communications, 13(6), 670. https://doi.org/10.1504/ijmc.2015.072100

Niankara, I., & Traoret, R. I. (2023). The digital payment-financial inclusion nexus and payment system innovation within the global open economy during the COVID-19 pandemic. Journal of Open Innovation: Technology, Market, and Complexity, 9(4), 100173. https://doi.org/10.1016/j.joitmc.2023.100173

Rahman, M., Ismail, I., Bahri, S., et al. (2022). An Empirical Analysis of Cashless Payment Systems for Business Transactions. Journal of Open Innovation: Technology, Market, and Complexity, 8(4), 213. https://doi.org/10.3390/joitmc8040213

Ruggiero, J. (1998). Non-discretionary Inputs in Data Envelopment Analysis. European Journal of Operational Research, 111(3), 461-469. https://doi.org/10.1016/S0377-2217(97)00306-8

Seiford, L. M., & Zhu, J. (1999). Profitability and Marketability of the Top 55 U.S. Commercial Banks. Management Science, 45(9), 1270–1288. https://doi.org/10.1287/mnsc.45.9.1270

Sexton, T. R., & Lewis, H. F. (2003). Two-stage DEA: An Application to Major League Baseball. Journal of Productivity Analysis, 19(2), 227-249. https://doi.org/10.1023/A:1022861618317

Shang, S. S. C., & Chiu, L. S. L. (2023). A RACE pathway for inventing and sustaining mobile payment innovation - A case study of a leading Bank in Taiwan. Asia Pacific Management Review, 28(4), 401–409. https://doi.org/10.1016/j.apmrv.2022.12.007

Shareef, M. A., Baabdullah, A., Dutta, S., et al. (2018). Consumer adoption of mobile banking services: An empirical examination of factors according to adoption stages. Journal of Retailing and Consumer Services, 43, 54–67. https://doi.org/10.1016/j.jretconser.2018.03.003

Slade, E. L., Dwivedi, Y. K., Piercy, N. C., et al. (2015). Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in the United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust. Psychology & Marketing, 32(8), 860–873. https://doi.org/10.1002/mar.20823

Stoica, O., Mehdian, S., Sargu, A. (2015). The Impact of Internet Banking on the Performance of Romanian Banks: DEA and PCA Approach. Procedia Economics and Finance, 20, 610-622. https://doi.org/10.1016/S2212-5671(15)00115-X

Tan, G. W.-H., Ooi, K.-B., Chong, S.-C., et al. (2014). NFC mobile credit card: The next frontier of mobile payment? Telematics and Informatics, 31(2), 292–307. https://doi.org/10.1016/j.tele.2013.06.002

Teo, A. C., Tan, G. W. H., Ooi, K. B., et al. (2015). Why consumers adopt mobile payment? A partial least squares structural equation modelling (PLS-SEM) approach. International Journal of Mobile Communications, 13(5), 478. https://doi.org/10.1504/ijmc.2015.070961

Tone, K., & Tsutsui, M. (2009). Network DEA: A slacks-based measure approach. European Journal of Operational Research, 197(1), 243–252. https://doi.org/10.1016/j.ejor.2008.05.027

Tong, B.-N., Cheng, C.-P., Liang, L.-W., et al. (2023). Using Network DEA to Explore the Effect of Mobile Payment on Taiwanese Bank Efficiency. Sustainability, 15(8), 6344. https://doi.org/10.3390/su15086344

Zhou, Q., Lim, F. J., Yu, H., et al. (2021). A study on factors affecting service quality and loyalty intention in mobile banking. Journal of Retailing and Consumer Services, 60, 102424. https://doi.org/10.1016/j.jretconser.2020.102424

Zhu, J. (2000). Multi-factor Performance Measure Model with an Application to Fortune 500 Companies. European Journal of Operational Research, 123, 105-124. https://doi.org/10.1016/S0377-2217(99)00096-X




DOI: https://doi.org/10.24294/jipd.v8i6.6057

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Manh-Trung Phung, Chen-Yu Kao, Cheng-Ping Cheng, Yi-Jyun Liu, Lien-Wen Liang

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.