The role of e-banking, mobile-banking, and e-wallet with response to e-payment and customer trust as a mediating factor using a structural equation modelling approach

Ahsanuddin Haider, Mohammed Arshad Khan, Maysoon Khoja, Sager Alharthi, Syed Mohd Minhaj

Article ID: 6644
Vol 8, Issue 9, 2024

VIEWS - 7 (Abstract) 5 (PDF)

Abstract


The objective of this research is to assess the current state of e-banking in Saudi Arabia. The banking industry is rapidly evolving to use e-banking as an efficient and appropriate tool for customer satisfaction. Traditional banks recommend online banking as a particular service to their customers in order to provide them with faster and better service. As a result of the rapid advancement of technology, banks have used e-banking and mobile banking to both accumulate users and conduct banking transactions. Nonetheless, the primary challenge with electronic banking is satisfying customers who use Internet banking. Thus, the current study seeks to determine what factors affect e-payment adoption with e-banking services. mobile banking, e-wallets, and e-banking, as well as the mediating role of customer trust, can drive e-payment adoption. We distributed the survey online and offline to a total of 336 participants. A convenience sampling technique was used; structure equation modeling (SEM), convergence and discriminant validity; and model fitness were achieved through Smart PLS 3. The findings have shown that mobile banking, e-banking, and e-wallets are three significant independent variables that mediate the role of customer trust in influencing e-payment adoption when using Internet banking services. They should emphasize trust-building activities, specifically in relation to the new ways of e-payment such as e-banking, m-payments, NFC, and e-proximity, which will further help reduce consumer perceptions of risk. The system developers should design user-friendly applications and e-payment apps to enhance consumers’ belief in using them for payment purposes over any Internet-enabled device. They should promptly respond to consumers in cases of failed e-payment transactions and be able to promptly demonstrate transparency in settling claims for such failed transactions. Future studies could benefit from implementing probability sampling to facilitate comparisons with non-probability sampling studies. This study selected responses from only Saudi Arabian adopters of mobile payment technology. We need to conduct research on non-adopters and analyze the results using the model we proposed in this study. Due to time and resource constraints, in depth research using a mixed-methods approach could not be conducted. Future studies can utilize a mixed-methods approach for further understanding.


Keywords


e-banking; mobile banking; e-wallet; customer satisfaction

Full Text:

PDF


References


Adepoju, A., & Adeniji, A. (2020). Technology Acceptance of E-Banking Services in an Unnatural Environment. SEISENSE Journal of Management, 3(3), 34–50. https://doi.org/10.33215/sjom.v3i3.336

Ahmed, A., Rezaul, K. M., & Rahman, M. A. (2010). E-Banking and Its Impact on Banks’ Performance and Consumers’ Behaviour. In: Proceedings of the 2010 Fourth International Conference on Digital Society. https://doi.org/10.1109/icds.2010.46

Akinwande, M. O., Dikko, H. G., & Samson, A. (2015). Variance Inflation Factor: As a Condition for the Inclusion of Suppressor Variable(s) in Regression Analysis. Open Journal of Statistics, 05(07), 754–767. https://doi.org/10.4236/ojs.2015.57075

Albanna, H., Alalwan, A. A., & Al-Emran, M. (2022). An integrated model for using social media applications in non-profit organizations. International Journal of Information Management, 63, 102452. https://doi.org/10.1016/j.ijinfomgt.2021.102452

Al-Emran, M., & Mezhuyev, V. (2020). Examining the Effect of Knowledge Management Factors on Mobile Learning Adoption Through the Use of Importance-Performance Map Analysis (IPMA). Springer International Publishing.

Al-Emran, M., Al-Maroof, R., Al-Sharafi, M. A., et al. (2020). What impacts learning with wearables? An integrated theoretical model. Interactive Learning Environments, 30(10), 1897–1917. https://doi.org/10.1080/10494820.2020.1753216

Alkhowaiter, W. A. (2020). Digital payment and banking adoption research in Gulf countries: A systematic literature review. International Journal of Information Management, 53, 102102. https://doi.org/10.1016/j.ijinfomgt.2020.102102

Al-Saedi, K., Al-Emran, M., Abusham, E., et al. (2019). Mobile Payment Adoption: A Systematic Review of the UTAUT Model. In: Proceedings of the 2019 International Conference on Fourth Industrial Revolution (ICFIR). https://doi.org/10.1109/icfir.2019.8894794

Al-Sharafi, M. A., Al-Emran, M., Arpaci, I., et al. (2022). Examining the Impact of Psychological, Social, and Quality Factors on the Continuous Intention to Use Virtual Meeting Platforms During and beyond COVID-19 Pandemic: A Hybrid SEM-ANN Approach. International Journal of Human—Computer Interaction, 39(13), 2673–2685. https://doi.org/10.1080/10447318.2022.2084036

Al-Sharafi, M. A., Al-Emran, M., Iranmanesh, M., et al. (2022). Understanding the impact of knowledge management factors on the sustainable use of AI-based chatbots for educational purposes using a hybrid SEM-ANN approach. Interactive Learning Environments, 31(10), 7491–7510. https://doi.org/10.1080/10494820.2022.2075014

Al-Sharafi, M. A., Al-Qaysi, N., Iahad, N. A., et al. (2022). Evaluating the sustainable use of mobile payment contactless technologies within and beyond the COVID-19 pandemic using a hybrid SEM-ANN approach. International Journal of Bank Marketing, 40(5), 1071–1095. https://doi.org/10.1108/IJBM-07-2021-0291

Anouze, A. L. M., & Alamro, A. S. (2019). Factors affecting intention to use e-banking in Jordan. International Journal of Bank Marketing, 38(1), 86–112. https://doi.org/10.1108/ijbm-10-2018-0271

Arbaugh, J. B., & Duray, R. (2002). Technological and Structural Characteristics, Student Learning and Satisfaction with Web-Based Courses. Management Learning, 33(3), 331–347. https://doi.org/10.1177/1350507602333003

Arshad, M., Tiwari, A., & Sharma, T. (2021). Artificial Intelligence in Commerce and Business to Deal with COVID-19 Pandemic. Available online: https://www.proquest.com/openview/0b10c88dff9cc6b593aec9ad4f399c97/1?pq-origsite=gscholar&cbl=2045096 (accessed on 2 June 2013).

Asadi, S., Nilashi, M., Husin, A. R. C., et al. (2016). Customers perspectives on adoption of cloud computing in banking sector. Information Technology and Management, 18(4), 305–330. https://doi.org/10.1007/s10799-016-0270-8

Ayo, C. K., Oni, A. A., Adewoye, O. J., et al. (2016). E-banking users’ behaviour: e-service quality, attitude, and customer satisfaction. International Journal of Bank Marketing, 34(3), 347–367. https://doi.org/10.1108/ijbm-12-2014-0175

Bausys, R., & Kriukovas, A. (2008). Digital signature approach for image authentication. Elektronika ir Elektrotechnika, 86(6).

Blount, Y., Castleman, T., & Swatman, P. (2004). Employee development strategies in the B2C banking environment: two Australian case studies. Available online: https://aisel.aisnet.org/cgi/viewcontent.cgi?article=1023&context=ecis2004 (accessed on 2 June 2023).

Casaló, L. V., Flavián, C., & Guinalíu, M. (2008). The role of satisfaction and website usability in developing customer loyalty and positive word‐of‐mouth in the e‐banking services. International Journal of Bank Marketing, 26(6), 399–417. https://doi.org/10.1108/02652320810902433

Cohen, D. A., & Gan, C. (2006). Customer Satisfaction : a Study of Bank Customer Retention in New Zealand. Available online: https://researcharchive.lincoln.ac.nz/server/api/core/bitstreams/be753c46-5efa-4266-8271-ab7e5e78ce04/content (accessed on 2 June 2023).

Dharmavaram, V., & Nittala, R. (2018). Service Quality and Customer Satisfaction in Online Banking. International Journal of Online Marketing, 8(2), 45–56. https://doi.org/10.4018/ijom.2018040103

Dharmawansa, A. D., Nakahira, K. T., & Fukumura, Y. (2013). Detecting Eye Blinking of a Real-world Student and Introducing to the virtual e-Learning Environment. Procedia Computer Science, 22, 717–726. https://doi.org/10.1016/j.procs.2013.09.153

Fojt, M. (2016). Internet banking service quality and its implication on e-customer satisfaction and e-customer loyalty. International Journal of Bank Marketing, 34(3), 1–32.

Fornell, & Lacker. (1981). Discriminant Validity Assessment : Use of Fornell & Larcker criterion versus HTMT Criterion Discriminant Validity Assessment : Use of Fornell & Larcker criterion versus HTMT Criterion. Journal of Physics: Conference Series PAPER, 890(1), 1–6.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Howe, J., Pöppelmann, T., O’neill, M., et al. (2015). Practical Lattice-Based Digital Signature Schemes. ACM Transactions on Embedded Computing Systems, 14(3), 1–24. https://doi.org/10.1145/2724713

Hussain, R., Al Nasser, A., & Hussain, Y. K. (2015). Service quality and customer satisfaction of a UAE-based airline: An empirical investigation. Journal of Air Transport Management, 42, 167–175. https://doi.org/10.1016/j.jairtraman.2014.10.001

Iberahim, H., Taufik, N. M., Adzmir, A. M., et al. (2016). Customer satisfaction on reliability and responsiveness of self service technology for retail banking services. Procedia Economics and Finance, 37, 13–20.

Kamel, S., & Hassan, A. (2006). Assessing the Introduction of Electronic Banking in Egypt Using the Technology Acceptance Model. Cases on Electronic Commerce Technologies and Applications, 296–320. https://doi.org/10.4018/978-1-59904-402-6.ch018

Khan, M. A. (2021). Netizens ’ Perspective towards Electronic Money and Its Essence in the Virtual Economy : An Empirical Analysis with Special Reference to Delhi-NCR. WILEY.

Khan, M. A. (2021). Netizens’ Perspective towards Electronic Money and Its Essence in the Virtual Economy: An Empirical Analysis with Special Reference to Delhi-NCR, India. Complexity, 2021, 1–18. https://doi.org/10.1155/2021/7772929

Khan, M. A., & Alhumoudi, H. A. (2022). Performance of E-Banking and the Mediating Effect of Customer Satisfaction: A Structural Equation Model Approach. Sustainability, 14(12). https://doi.org/10.3390/su14127224

Khan, M. A., & Minhaj, S. M. (2021). Performance of online banking and direct effect of service quality on consumer retention and credibility of consumer and mediation effect of consumer satisfaction. International Journal of Business Information Systems, 1(1), 1. https://doi.org/10.1504/ijbis.2021.10043829

Khan, M. A., & Minhaj, S. M. (2022). Dimensions of E-Banking and the mediating role of customer satisfaction: a structural equation model approach. International Journal of Business Innovation and Research, 1(1), 1. https://doi.org/10.1504/ijbir.2022.10045447

Khan, M. A., Alhathal, F., Alam, S., et al. (2023). Importance of Social Networking Sites and Determining Its Impact on Brand Image and Online Shopping: An Empirical Study. Sustainability, 15(6). https://doi.org/10.3390/su15065129

Khan, M. A., Roy, P., Siddiqui, S., et al. (2021). Systemic Risk Assessment: Aggregated and Disaggregated Analysis on Selected Indian Banks. Complexity, 2021, 1–14. https://doi.org/10.1155/2021/8360778

Khan, M. A., Vivek, Minhaj, S. M., et al. (2022). Impact of Store Design and Atmosphere on Shoppers’ Purchase Decisions: An Empirical Study with Special Reference to Delhi-NCR. Sustainability, 15(1), 95. https://doi.org/10.3390/su15010095

Khanifar, H., Molavi, Z., Jandaghi, G. R. et al. (2012). Factors influencing the intendancy of e-banking: An integration of TAM & TPB with eservice quality. Journal of Applied Sciences Research, 8(3),1842–1852.

Kim, J. H. (2017). A Review of Cyber-Physical System Research Relevant to the Emerging IT Trends: Industry 4.0, IoT, Big Data, and Cloud Computing. Journal of Industrial Integration and Management, 02(03), 1750011. https://doi.org/10.1142/s2424862217500117

Lee, S., & Kim, B. G. (2009). Factors affecting the usage of intranet: A confirmatory study. Computers in Human Behavior, 25(1), 191–201. https://doi.org/10.1016/j.chb.2008.08.007

Ling, G. M., Fern, Y. S., Boon, L. K., et al. (2016). Understanding customer satisfaction of internet banking: A case study in Malacca. Procedia Economics and Finance, 37, 80–85.

Liu, Y., & Wang, T. (2022). Quality factors and performance outcome of cloud-based marketing system. Kybernetes, 51(1), 485–503.

Liu, Z., Xu, B., Cheng, B., et al. (2021). Intrusion detection systems in the cloud computing: A comprehensive and deep literature review. Concurrency and Computation: Practice and Experience, 34(4). https://doi.org/10.1002/cpe.6646

Mbukanma, I., Chukwuere, J. E., & Enwereji, P. C. (2022). A conceptual interface between electronic banking and knowledge of bank products and services for Nigerian banks and their customers. Available online: https://www.ajol.info/index.php/gab/article/view/198098 (accessed on 2 June 2023).

Meesala, A., & Paul, J. (2018). Service quality, consumer satisfaction and loyalty in hospitals: Thinking for the future. Journal of Retailing and Consumer Services, 40, 261–269. https://doi.org/10.1016/j.jretconser.2016.10.011

Minhaj, S. M., & Khan, M. A. (2022). The revolutionary impact of micro-finance and role of financial institutions on agriculture income of farmers: An empirical analysis’s. International Journal of Business Innovation and Research, 1(1), 1. https://doi.org/10.1504/ijbir.2022.10052373

Minhaj, S. M., Rehman, A., Das, A. K., et al. (2024). Investor Sentiment And The Function Of Blockchain Technology In Relation To Digital Currencies: The Here And Now And The Future. Educational Administration: Theory and Practice. https://doi.org/10.53555/kuey.v30i5.3942

Mujinga, M. (2020). Online Banking Service Quality: A South African E-S-QUAL Analysis. In: Lecture Notes in Computer Science. Springer International Publishing.

Nagar, N., & Ghai, E. (2019). A Study of Bank Customer’s Reliability towards Electronic Banking (E-Banking) Channel’s. International Journal of Management Studies, 6(1), 1.

Naseri, A., & Jafari Navimipour, N. (2018). A new agent-based method for QoS-aware cloud service composition using particle swarm optimization algorithm. Journal of Ambient Intelligence and Humanized Computing, 10(5), 1851–1864. https://doi.org/10.1007/s12652-018-0773-8

Navimipour, N. J., & Eslamic, F. (n.d.). Author’s Accepted Manuscript Service Allocation in the Cloud Environments using Multi-Objective Particle Swarm Optimization Algorithm based on Crowding Distance. https://doi.org/10.1016/j.swevo.2017.02.007

Nicoleta-Magdalena, I. (2011). The replication technology in e-learning systems. Procedia - Social and Behavioral Sciences, 28, 231–235. https://doi.org/10.1016/j.sbspro.2011.11.045

Parasuraman, A., & Grewal, D. (2000). The Impact of Technology on the Quality-Value-Loyalty Chain: A Research Agenda. Journal of the Academy of Marketing Science, 28(1), 168–174. https://doi.org/10.1177/0092070300281015

Raza, S. A., Umer, A., Qureshi, M. A., et al. (2020). Internet banking service quality, e-customer satisfaction and loyalty: the modified e-SERVQUAL model. The TQM Journal, 32(6), 1443–1466. https://doi.org/10.1108/tqm-02-2020-0019

Rubin, B., Fernandes, R., & Avgerinou, M. D. (2013). The effects of technology on the Community of Inquiry and satisfaction with online courses. The Internet and Higher Education, 17, 48–57. https://doi.org/10.1016/j.iheduc.2012.09.006

Santouridis, I., & Kyritsi, M. (2014). Investigating the determinants of internet banking adoption in Greece. Procedia Economics and finance, 9, 501–510

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2020). Handbook of Market Research. Springer International Publishing.

Shahid Iqbal, M., Ul Hassan, M., & Habibah, U. (2018). Impact of self-service technology (SST) service quality on customer loyalty and behavioral intention: The mediating role of customer satisfaction. Cogent Business & Management, 5(1), 1. https://doi.org/10.1080/23311975.2018.1423770

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. https://doi.org/10.1016/j.ijinfomgt.2018.09.013

Sundaresan, S., & Zhang, Z. J. (2016). Knowledge Sharing and Learning in Organizations: Role of Incentives and Information Systems. Journal of Industrial Integration and Management, 01(03), 1650005. https://doi.org/10.1142/s2424862216500056

Tabernero, C., Cuadrado, E., Luque, B., et al. (2015). The importance of achieving a high customer satisfaction with recycling services in communities. Environment, Development and Sustainability, 18(3), 763–776. https://doi.org/10.1007/s10668-015-9676-4

Tan, W., Chen, S., Li, L., et al. (2015). A method toward dynamic e-learning services modeling and the cooperative learning mechanism. Information Technology and Management, 18(2), 119–130. https://doi.org/10.1007/s10799-015-0235-3

Tetteh, J. E. (2021). Electronic Banking Service Quality: Perception of Customers in the Greater Accra Region of Ghana. Journal of Internet Commerce, 21(1), 104–131. https://doi.org/10.1080/15332861.2020.1870340

Toor, A., Hunain, M., Hussain, T., et al. (2016). The Impact of E-Banking on Customer Satisfaction: Evidence from Banking Sector of Pakistan. Journal of Business Administration Research, 5(2). https://doi.org/10.5430/jbar.v5n2p27

Tsai, J., Lo, N., & Wu, T. (2012). Weaknesses and improvements of an efficient certificateless signature scheme without using bilinear pairings. International Journal of Communication Systems, 27(7), 1083–1090. https://doi.org/10.1002/dac.2388

Ur Rehman, Z., & Ali Shaikh, F. (2020). Critical Factors Influencing the Behavioral Intention of Consumers towards Mobile Banking in Malaysia. Engineering, Technology & Applied Science Research, 10(1), 5265–5269. https://doi.org/10.48084/ETASR.3320

Usman, O., Monoarfa, T. A., & Marsofiyati, M. (2020). E-Banking and mobile banking effects on customer satisfaction. Accounting, 1117–1128. https://doi.org/10.5267/j.ac.2020.7.006

Yan, G., He, W., Shi, H., et al. (2014). Applying a bilingual model to mine e-commerce satisfaction sentiment. Journal of Management Analytics, 1(4), 285–300. https://doi.org/10.1080/23270012.2014.995143




DOI: https://doi.org/10.24294/jipd.v8i9.6644

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Ahsanuddin Haider, Mohammed Arshad Khan, Maysoon Khoja, Sager Alharthi, Syed Mohd Minhaj

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

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