The Explanation Of E-Service Quality and Actual Use of M-Banking

Authors

  • Shafira Az-Zahra Politeknik Negeri Bandung, Indonesia
  • Lina Setiawati Politeknik Negeri Bandung, Indonesia
  • Adila Sosianika Politeknik Negeri Bandung, Indonesia
  • Widi Senalasari Politeknik Negeri Bandung, Indonesia

DOI:

https://doi.org/10.35313/jmi.v3i1.27

Keywords:

M-Banking, E-Service Quality, Technology Acceptance Model (TAM)

Abstract

Technological developments are increasingly rapid from time to time, causing all areas of the business sector to be required to be adaptive. One of which is the banking sector. The digital era has made mobile banking an option to facilitate transaction activities. The actual use of mobile banking is a real-world interpretation to explain the impact of electronic service quality more comprehensively. This study aims to explore mobile banking users in Indonesia. The quality of e-service in mobile banking uses the Technology Acceptance Model (TAM) approach. The survey was conducted in Bandung with 202 mobile banking users; the data were analyzed using SMART PLS with the methods of reliability test, validity test, hypothesis test, and mediation analysis to be able to interpret the research objectives more specifically. The findings indicate e-service quality significantly impacts attitudes towards m-banking, perceived usefulness, and perceived ease of use. It points out that internet-based transactions, especially mobile banking systems, should be made easier, safer, and more convenient for consumers to use.

References

Abd Ghani, M., Rahi, S., Yasin, N. M., & Alnaser, F. (2017). Adoption of internet banking: extending the role of technology acceptance model (TAM) with e-customer service and customer satisfaction. World Applied Sciences Journal, 35(9), 1918-1929.

Abdinnour?Helm, S. F., Chaparro, B. S., & Farmer, S. M. (2005). Using the end?user computing satisfaction (EUCS) instrument to measure satisfaction with a web site. Decision Sciences, 36(2), 341-364.

Aboelmaged, M., & Gebba, T. R. (2013). Mobile banking adoption: an examination of technology acceptance model and theory of planned behavior. International journal of business research and development, 2(1).

Abu-Taieh, E. M., AlHadid, I., Abu-Tayeh, S., Masa’deh, R. e., Alkhawaldeh, R. S., Khwaldeh, S., & Alrowwad, A. a. (2022). Continued intention to use of M-Banking in Jordan by integrating UTAUT, TPB, TAM and service quality with ML. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 120.

Ahmad, S., Bhatti, S. H., & Hwang, Y. (2020). E-service quality and actual use of e-banking: Explanation through the Technology Acceptance Model. Information Development, 36(4), 503-519.

Ajzen, I., & Fishbein, M. (2005). The influence of attitudes on behavior.

Al-Zubi, K. (2021). The effect of web-related features on intention to use online banking of ATM users. International Journal of Data and Network Science, 5(4), 629-640.

Alzoubi, H., & Inairat, M. (2020). Do perceived service value, quality, price fairness and service recovery shape customer satisfaction and delight? A practical study in the service telecommunication context. Uncertain Supply Chain Management, 8(3), 579-588.

Amin, M. (2016). Internet banking service quality and its implication on e-customer satisfaction and e-customer loyalty. International journal of bank marketing, 34(3), 280-306.

Beiginia, A. R., Besheli, A. S., Soluklu, M. E., & Ahmadi, M. (2011). Assessing the mobile banking adoption based on the decomposed theory of planned behaviour. European Journal of Economics, Finance and Administrative Sciences, 28(1), 7-15.

Carlson, J., & O'Cass, A. (2010). Exploring the relationships between e?service quality, satisfaction, attitudes and behaviours in content?driven e?service web sites. Journal of services marketing.

Crespo, A. H., & Del Bosque, I. R. (2010). The influence of the commercial features of the Internet on the adoption of e-commerce by consumers. Electronic Commerce Research and Applications, 9(6), 562-575.

Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: three experiments. International journal of human-computer studies, 45(1), 19-45.

De Leon, M. V. (2019). Factors influencing behavioural intention to use mobile banking among retail banking clients. Jurnal Studi Komunikasi, 3(2), 118-137.

Egea, J. M. O., & González, M. V. R. (2011). Explaining physicians’ acceptance of EHCR systems: An extension of TAM with trust and risk factors. Computers in human behavior, 27(1), 319-332.

Elkaseh, A. M., Wong, K. W., & Fung, C. C. (2016). Perceived ease of use and perceived usefulness of social media for e-learning in Libyan higher education: A structural equation modeling analysis. International Journal of Information and Education Technology, 6(3), 192.

Fernandes, A. A. R. (2017). Investigation the mediating variable: What is necessary?(case study in management research). International Journal of Law and Management, 59(6), 1059-1067.

Ghani, E. K., Ali, M. M., Musa, M. N. R., & Omonov, A. A. (2022). The Effect of Perceived Usefulness, Reliability, and COVID-19 Pandemic on Digital Banking Effectiveness: Analysis Using Technology Acceptance Model. Sustainability, 14(18), 11248.

Grandón, E. E., Nasco, S. A., & Mykytyn Jr, P. P. (2011). Comparing theories to explain e-commerce adoption. Journal of Business Research, 64(3), 292-298.

Gunawan, F., Ali, M. M., & Nugroho, A. (2019). Analysis of the effects of perceived ease of use and perceived usefulness on consumer attitude and their impacts on purchase decision on PT Tokopedia in Jabodetabek. European Journal of Business and Management Research, 4(5).

Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial management & data systems.

Hanjaya, S. M., Kenny, S. K., & Gunawan, S. F. (2019). Understanding factors influencing consumers online purchase intention via mobile app: perceived ease of use, perceived usefulness, system quality, information quality, and service quality. Marketing of Scientific and Research Organizations, 32(2), 175-205.

Henseler, J. (2017). Partial least squares path modeling. Advanced methods for modeling markets, 361-381.

Jadil, Y., Rana, N. P., & Dwivedi, Y. K. (2022). Understanding the drivers of online trust and intention to buy on a website: An emerging market perspective. International Journal of Information Management Data Insights, 2(1), 100065.

Jayasingh, S., & Eze, U. C. (2015). An empirical analysis of consumer behavioural intention towards mobile coupons in Malaysia. International Journal of Business and Information, 4(2).

Kim, H.-Y., Lee, J. Y., Mun, J. M., & Johnson, K. K. (2017). Consumer adoption of smart in-store technology: assessing the predictive value of attitude versus beliefs in the technology acceptance model. International Journal of Fashion Design, Technology and Education, 10(1), 26-36.

Kim, Y. J., Chun, J. U., & Song, J. (2009). Investigating the role of attitude in technology acceptance from an attitude strength perspective. International Journal of Information Management, 29(1), 67-77.

Larasetiati, M., & Ali, H. (2019). Model of consumer trust: analysis of perceived usefulness and security toward repurchase intention in online travel agent. Saudi Journal of Economics and Finance, 3(8), 350-357.

Laukkanen, T. (2016). Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking. Journal of Business Research, 69(7), 2432-2439.

Lee, J.-H., & Song, C.-H. (2013). Effects of trust and perceived risk on user acceptance of a new technology service. Social Behavior and Personality: an international journal, 41(4), 587-597.

Lee, Y.-K., Park, J.-H., Chung, N., & Blakeney, A. (2012). A unified perspective on the factors influencing usage intention toward mobile financial services. Journal of Business Research, 65(11), 1590-1599.

Liao, Z., & Cheung, M. T. (2008). Measuring consumer satisfaction in internet banking: a core framework. Communications of the ACM, 51(4), 47-51.

Lindgren, I., & Jansson, G. (2013). Electronic services in the public sector: A conceptual framework. Government Information Quarterly, 30(2), 163-172.

MacKinnon, D. P., Coxe, S., & Baraldi, A. N. (2012). Guidelines for the investigation of mediating variables in business research. Journal of Business and Psychology, 27, 1-14.

Michelle Bobbitt, L., & Dabholkar, P. A. (2001). Integrating attitudinal theories to understand and predict use of technology?based self?service: the internet as an illustration. International Journal of service Industry management, 12(5), 423-450.

Mokhtaran, M., Fakharyan, M., Jalilvand, M. R., & Mohebi, M. (2015). The effect of service climate on perceived service value and behavioral intentions: The mediating role of service quality. Asia Pacific Journal of Tourism Research, 20(4), 472-486.

Naruetharadhol, P., Ketkaew, C., Hongkanchanapong, N., Thaniswannasri, P., Uengkusolmongkol, T., Prasomthong, S., & Gebsombut, N. (2021). Factors affecting sustainable intention to use mobile banking services. SAGE Open, 11(3), 21582440211029925.

Nasri, W., & Charfeddine, L. (2012). Factors affecting the adoption of Internet banking in Tunisia: An integration theory of acceptance model and theory of planned behavior. The journal of high technology management research, 23(1), 1-14.

Oni, A. A., Adewoye, O. J., & Eweoya, I. O. (2016). E-banking users’ behaviour: e-service quality, attitude, and customer satisfaction. International journal of bank marketing.

Park, C. H., & Kim, Y. G. (2003). Identifying key factors affecting consumer purchase behavior in an online shopping context. International journal of retail & distribution management.

Raza, S. A., Umer, A., & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption. International Journal of Electronic Customer Relationship Management, 11(1), 44-65.

Rehman, Z. U., & Shaikh, F. A. (2020). Critical factors influencing the behavioral intention of consumers towards mobile banking in Malaysia. Engineering, Technology & Applied Science Research, 10(1), 5265-5269.

Rodrigues, L. F., Oliveira, A., & Costa, C. J. (2016). Playing seriously–How gamification and social cues influence bank customers to use gamified e-business applications. Computers in human behavior, 63, 392-407.

Shanmugam, A., Savarimuthu, M. T., & Wen, T. C. (2014). Factors affecting Malaysian behavioral intention to use mobile banking with mediating effects of attitude. Academic Research International, 5(2), 236.

Sharma, K., & Madan, P. (2022). Can Perceived Ease of Use Improve M-Commerce Adoption?: Role of Mobile Network Service Quality. International Journal of Online Marketing (IJOM), 12(1), 1-14.

Siagian, H., Tarigan, Z., Basana, S., & Basuki, R. (2022). The effect of perceived security, perceived ease of use, and perceived usefulness on consumer behavioral intention through trust in digital payment platform. International Journal of Data and Network Science, 6(3), 861-874.

Singh, M. (2002). E?services and their role in B2C e?commerce. Managing Service Quality: An International Journal.

Szymanski, D. M., & Hise, R. T. (2000). E-satisfaction: an initial examination. Journal of retailing, 76(3), 309-322.

Ting, O. S., Ariff, M. S. M., Zakuan, N., Sulaiman, Z., & Saman, M. Z. M. (2016). E-service quality, e-satisfaction and e-loyalty of online shoppers in business to consumer market; Evidence form Malaysia. Paper presented at the IOP Conference Series: Materials Science and Engineering.

Tingchi Liu, M., Chu, R., Wong, I. A., Angel Zúñiga, M., Meng, Y., & Pang, C. (2012). Exploring the relationship among affective loyalty, perceived benefits, attitude, and intention to use co?branded products. Asia Pacific Journal of Marketing and Logistics, 24(4), 561-582.

Usman, O., Monoarfa, T., & Marsofiyati, M. (2020). E-Banking and mobile banking effects on customer satisfaction. Accounting, 6(6), 1117-1128.

Van Birgelen, M. J., Wetzels, M. G., & van Dolen, W. M. (2008). Effectiveness of corporate employment web sites: How content and form influence intentions to apply. International Journal of Manpower.

Vatanasombut, B., Igbaria, M., Stylianou, A. C., & Rodgers, W. (2008). Information systems continuance intention of web-based applications customers: The case of online banking. Information & management, 45(7), 419-428.

Wahab, S., Nor, N. A. M., & Khaled, A.-M. (2010). The relationship between E-service quality and ease of use on Electronic Customer Relationship Management (E-CRM) performance: An empirical investigation in Jordan mobile phone services. Paper presented at the 2010 International Conference on e-Education, e-Business, e-Management and e-Learning.

Wessels, L., & Drennan, J. (2010). An investigation of consumer acceptance of M?banking. International journal of bank marketing, 28(7), 547-568.

Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educational and psychological measurement, 73(6), 913-934.

Wu, W. Y., Huang, P. C., & Fu, C. S. (2011). The influence of an online auction’s product price and e?retailer reputation on consumers’ perception, attitude, and behavioral intention. Scandinavian Journal of Psychology, 52(3), 290-302.

Xin, Y., Irfan, M., Ahmad, B., Ali, M., & Xia, L. (2023). Identifying How E-Service Quality Affects Perceived Usefulness of Online Reviews in Post-COVID-19 Context: A Sustainable Food Consumption Behavior Paradigm. Sustainability, 15(2), 1513.

Yadav, R., Chauhan, V., & Pathak, G. S. (2015). Intention to adopt internet banking in an emerging economy: a perspective of Indian youth. International journal of bank marketing, 33(4), 530-544.

Yoon, C. (2010). Antecedents of customer satisfaction with online banking in China: The effects of experience. Computers in human behavior, 26(6), 1296-1304.

Zehir, C., & Narc?kara, E. (2016). E-service quality and e-recovery service quality: effects on value perceptions and loyalty intentions. Procedia-Social and Behavioral Sciences, 229, 427-443.

Zuraya, N. (2021). Ekonom: Bank Umum Jadi Bank Digital pada 2030. Republika.

Downloads

Published

2023-03-31

How to Cite

Az-Zahra, S. ., Setiawati, L., Sosianika, A., & Senalasari, W. (2023). The Explanation Of E-Service Quality and Actual Use of M-Banking. Journal of Marketing Innovation (JMI), 3(1). https://doi.org/10.35313/jmi.v3i1.27

Issue

Section

Articles

Most read articles by the same author(s)