Evolution of customer satisfaction in the e-banking service industry
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Author(s)Long KimLink to ORCID Index: https://orcid.org/0000-0003-4326-7365
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Teerasak JindabotLink to ORCID Index: https://orcid.org/0000-0003-3129-3195
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DOIhttp://dx.doi.org/10.21511/im.18(1).2022.11
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Article InfoVolume 18 2022, Issue #1, pp. 131-141
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- 1609 Views
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539 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
Since several commercial activities such as banking, shopping, transfers, and payments had been conducted online, many banks in Cambodia provided e-banking services to their customers to support these activities. Meanwhile, if the banks could provide such e-banking services to satisfy their customers’ needs, they could maintain their customers and profits. Thus, finding the main factors influencing customer satisfaction in the e-banking service industry is significant. Therefore, the objective of this paper is to investigate how customer satisfaction develops through examining the impacts of perceived risk (financial risk and performance risk) and perceived value on customer satisfaction in the e-banking. This study applied convenience sampling to get data from the respondents at convenient locations (near banks, markets, supermarkets, universities, and workplaces). 700 respondents who were currently using mobile banking or internet banking services at either commercial or retail banks in Cambodia were invited to fill in the questionnaires. In addition, the results of this study were generated through structural equation model (SEM) analysis based on 546 valid responses. The results revealed that perceived value was mainly influenced by performance risk, whereas financial risk did not significantly affect perceived value. Finally, perceived value and performance risk significantly influenced customer satisfaction, except financial risk. In addition, despite both perceived value and performance risk significantly influencing customer satisfaction, promoting customer satisfaction through increasing perceived value was far more effective than minimizing performance risk.
- Keywords
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JEL Classification (Paper profile tab)M30, M31
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References44
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Tables3
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Figures2
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- Figure 1. Satisfaction model in the e-banking service industry
- Figure 2. SEM results
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- Table 1. SEM model measurement
- Table 2. Model fit
- Table 3. Hypotheses summary
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- Abdul-Muhmin, A. G. (2010). Repeat purchase intentions in online shopping: The role of satisfaction, attitude, and online retailers’ performance. Journal of International Consumer Marketing, 23(1), 5-20.
- Agarwal, S., & Teas, R. K. (2001). Perceived Value: Mediating Role of Perceived Risk. Journal of Marketing Theory and Practice, 9(4), 1-14.
- Aldas-Manzano, J., Ruiz-Mafe, C., Sanz-Blas, S., & Lassala-Navarré, C. (2011). Internet banking loyalty: Evaluating the role of trust, satisfaction, perceived risk and frequency of use. Service Industries Journal, 31(7), 1165-1190.
- Asad, M. M., Mohajerani, N. S., & Nourseresh, M. (2016). Prioritizing Factors Affecting Customer Satisfaction in the Internet Banking System Based on Cause and Effect Relationships. Procedia Economics and Finance, 36, 210-219.
- Aufegger, L., Yanar, C., Darzi, A., & Bicknell, C. (2021). The risk-value trade-off: Price and brand information impact consumers’ intentions to purchase OTC drugs. Journal of Pharmaceutical Policy and Practice, 14(1), 1-13.
- Babakus, E., & Mangold, W. G. (1992). Adapting the SERVQUAL scale to hospital services: An empirical investigation. Health Services Research, 26(6), 767-786.
- Broekhuizen, T. L. J., & Jager, W. (2003). A Conceptual Model of Channel Choice: Measuring Online and Offline Shopping Value Perceptions. Synthesis, 1-37.
- Chaudhary, M., & Islam, N. U. (2021). Impact of Perceived Risk on Tourist Satisfaction and Future Travel Intentions: A Mediation-Moderation Analysis. Global Business Review, 18, 1-18.
- Cho, Y. (2020). Exploring determinants of performance indicator and customer satisfaction of accommodation sharing. Journal of Asian Finance, Economics and Business, 7(3), 201-210.
- Firdous, S., & Farooqi, R. (2017). Impact of Internet Banking Service Quality on Customer Satisfaction. Journal of Internet Banking and Commerce, 22(1), 1-17.
- Garland, R. (1991). The mid-point on a rating scale: Is it desirable? Marketing Bulletin, 2(1), 66-70.
- Geebren, A., Jabbar, A., & Luo, M. (2021). Examining the role of consumer satisfaction within mobile eco-systems: Evidence from mobile banking services. Computers in Human Behavior, 114, 01-12.
- Giantari, I., Yasa, N. N. K., Sukawati, T. G. R., & Setini, M. (2021). Student Satisfaction and Perceived Value on Word of Mouth (WOM) During the COVID-19 Pandemic: An Empirical Study in Indonesia. The Journal of Asian Finance, Economics and Business, 8(6), 1047-1056.
- Jin, N. P., Line, N. D., & Merkebu, J. (2016). The Impact of Brand Prestige on Trust, Perceived Risk, Satisfaction, and Loyalty in Upscale Restaurants. Journal of Hospitality Marketing and Management, 25(5), 523-546.
- Kim, L., & Jindabot, T. (2021). Key Determinants on Switching Intention in Cambodian Banking Market. ABAC Journal, 41(2), 204-222.
- Kim, L., Maijan, P., Jindabot, T., & Ali, W. B. (2021). How to build trust: Evidence from Thai customers in the latex glove industry. Innovative Marketing, 17(4), 120-131.
- Konuk, F. A. (2019). The influence of perceived food quality, price fairness, perceived value and satisfaction on customers’ revisit and word-of-mouth intentions towards organic food restaurants. Journal of Retailing and Consumer Services, 50, 103-110.
- Kumar, D., Haque, A., & Dhar, P. (2021). Exploring the critical influencing factor of customer satisfaction in telecommunication sector in Bangladesh. Asia-Pacific Journal of Management and Technology, 1(4), 11-21.
- Li, Z., Yuan, J., Du, B., Hu, J., Yuan, W., Palladini, L., Yu, B., & Zhou, Y. (2020). Customer Behavior on Purchasing Channels of Sustainable Customized Garment With Perceived Value and Product Involvement. Frontiers in Psychology, 11, 1-11.
- Mosavi, S. M., Sangari, M. S., & Keramati, A. (2018). An integrative framework for customer switching behavior. Service Industries Journal, 38(15-16), 1067-1094.
- Muntasin, M., Utami, S., & Chan, S. (2021). Sequential variable perceived value and customer satisfaction in mediating the influence of switching cost and service quality on the loyalty of insurance policy holders in Banda Aceh, Indonesia. International Journal of Multidisciplinary Research and Growth Evaluation, 2(4), 652-659.
- Namkung, Y., & Jang, S. C. (2007). Does food quality really matter in restaurants? Its impact on customer satisfaction and behavioural intentions. Journal of Hospitality and Tourism Research, 31(3), 387-409.
- Nguyen, T. T. N. (2020). Developing and validating five-construct model of customer satisfaction in beauty and cosmetic e-commerce. Heliyon, 6(9), e04887.
- Nguyen-Phuoc, D. Q., Oviedo-Trespalacios, O., Vo, N. S., Le, P. T., & Nguyen, T. V. (2021). How does perceived risk affect passenger satisfaction and loyalty towards ride-sourcing services? Transportation Research Part D: Transport and Environment, 97, 1-17.
- Nikhashemi, S. R., Valaei, N., Rezaei, S., & Bressolles, G. (2021). The hidden chain of branded telecommunication services delivery: Value, trust, brand, price tolernce and word of mouth communication chain. Journal of Relationship Marketing, 20(3), 204-240.
- Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460-469.
- Omar, M. W., Shaharudin, M. R., Jusoff, K., & Ali, M. N. M. (2011). Understanding the mediating effect of cognitive and emotional satisfaction on customer loyalty. African Journal of Business Management, 5(17), 7683-7690.
- Piri, Z., & Lotfizadeh, F. (2016). Investigation of the influence of perceived quality, price and risk on perceived product value for mobile consumers. Asian Social Science, 12(1), 103-116.
- Samudro, A., Sumarwan, U., Simanjuntak, M., & Yusuf, E. Z. (2020). Assessing the effects of perceived quality and perceived value on customer satisfaction. Management Science Letters, 10(5), 1077-1084.
- Seo, K. H., & Lee, J. H. (2021). The emergence of service robots at restaurants: Integrating trust, perceived risk, and satisfaction. Sustainability, 13(8), 1-16.
- Tien, N. H., Son, T. H., Anh, D. B. H., & Duc, N. M. (2021). Factors affecting customer satisfaction on service quality at joint stock commercial banks in Vietnam. Journal of Critical Reviews, 8(02), 605-617.
- To, T. H., Do, D. K., Bui, L. T. H., & Pham, H. T. L. (2020). Factors Affecting Customer Satisfaction When Buying on Facebook in Vietnam. The Journal of Asian Finance, Economics and Business, 7(10), 267-273.
- Tran, P. K. T., Nguyen, V. K., & Tran, V. T. (2021). Brand equity and customer satisfaction: A comparative analysis of international and domestic tourists in Vietnam. Journal of Product and Brand Management, 30(1), 180-194.
- Tran, V. D. (2020). The relationship among product risk, perceived satisfaction and purchase intentions for online shopping. Journal of Asian Finance, Economics and Business, 7(6), 221-231.
- Tukiran, M., Tan, P. H. P., & Sunaryo, W. (2021). Obtaining customer satisfaction by managing customer expectation, customer perceived quality and perceived value. Uncertain Supply Chain Management, 9(2), 481-488.
- Tuncer, I., Unusan, C., & Cobanoglu, C. (2021). Service quality, perceived value and customer satisfaction on behavioral intention in restaurants: An integrated structural model. Journal of Quality Assurance in Hospitality and Tourism, 22(4), 447-475.
- Wong, J. (2020). Digital Banking Cambodia (Report on the project “The impact of sustainability on banking industry in Malaysia”).
- 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, H., Yu, J., Zo, H., & Choi, M. (2016). User acceptance of wearable devices: An extended perspective of perceived value. Telematics and Informatics, 33(2), 256-269.
- Yang, S., Norng, S., & Thab, C. (2021). Consumer’s Attitudes toward the Internet to Adopt Mobile Payment System: A Study on Mobile Application of ABA Bank in Cambodia. AIB Research Series, 1, 1-19.
- Yuksel, A., & Yuksel, F. (2007). Shopping risk perceptions: Effects on tourists’ emotions, satisfaction and expressed loyalty intentions. Tourism Management, 28(3), 703-713.
- Yusiana, R., & Widodo, A. (2020). Green perceived value and green satisfaction to green trust rumah Karung Goni consumers. Advances in Natural and Applied Sciences, 14(2), 55-62.
- Zaid, S., & Patwayati, P. (2021). Impact of customer experience and customer engagement on satisfaction and loyalty: A case study in Indonesia. Journal of Asian Finance, Economics and Business, 8(4), 983-992.
- Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52(3), 2-22.
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doi: http://dx.doi.org/10.21511/bbs.13(2).2018.04
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Tatang Ary Gumanti ,
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Zarah Puspitaningtyas
doi: http://dx.doi.org/10.21511/ppm.16(1).2018.14
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