Acceptance of internet banking services: The role of demographic factors as moderating variables

Bahasa Inggris

Authors

  • Ellen Theresia Sihotang Faculty of Economic and Business, University of Hayam Wuruk Perbanas
  • Dewi Murdiawati Faculty of Economic and Business, University of Hayam Wuruk Perbanas

DOI:

https://doi.org/10.24914/jeb.v25i1.4513

Keywords:

Internet banking, demographics, gender, age, security, privacy

Abstract

Understanding the percentage of internet banking service usage, that is inferior to the percentage of mobile banking usage, has been important to observe factors affecting behavioral intention to use internet banking. The purpose of this study is to analyze the determinants of internet banking  usage by applying demographics as a moderator of intentional behavior to design the internet banking marketing strategies based on customer needs and wants. This study employs a judgment sampling technique with a sample size of 282 respondents processed by SPSS 23 and WarpPLS 6.0. The factors affecting the use of internet banking services are perceived usefulness, perceived ease of use, as well as perceived security and privacy. However, demographic elements variables (gender, age and education level) are the moderation of perceived security and privacy on behavioral intentions in using internet banking. In addition, men are more focus to on security and privacy than women. Moreover, older people are more concern withconsidering security and privacy more than younger people. Undergraduate/postgraduate and non-graduate people consider safety and privacy. The implication of this study is to improve the security system and determine the target market of internet banking by considering demographic elements factors as athe strategy to maintain and toas well as increase the use of internet banking.

Downloads

Download data is not yet available.

References

Abdinoor, A., & Mbamba, U. O. L. (2017). Factors influencing consumers’ adoption of mobile financial services in Tanzania. Cogent Business & Management, 4(1), 1392273. https://doi.org/10.1080/23311975.2017.1392273

Aboobucker, I., & Bao, Y. (2018). What obstruct customer acceptance of internet banking? Security and privacy, risk, trust and website usability and the role of moderators. The Journal of High Technology Management Research, 29(1), 109–123. https://doi.org/10.1016/j.hitech.2018.04.010

Afshan, S., Sharif, A., Waseem, N., & Frooghi, R. (2018). Internet banking in Pakistan: An extended technology acceptance perspective. International Journal of Business Information Systems, 27(3), 383–410. https://doi.org/10.1504/IJBIS.2018.089863

Ahmed, E. M., & Phin, G. S. (2016). Factors influencing the adoption of internet banking in Malaysia. Journal of Internet Banking and Commerce, 21(1), 1–28.

Alalwan, A. A., Dwivedi, Y. K., & Rana, N. P. (2017). Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management, 37(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002

Alkhaldi, A. N., & Kharma, Q. M. (2019). Customer’s intention to adopt mobile banking services: The moderating influence of demographic factors. International Journal of Innovation and Technology Management, 16(5), 1–26. https://doi.org/10.1142/S0219877019500378

Alshurideh, M. T., Al Kurdi, B., Masa’deh, R., & Salloum, S. A. (2021). The moderation effect of gender on accepting electronic payment technology: A study on United Arab Emirates consumers. Review of International Business and Strategy, 31(3), 375–396. https://doi.org/10.1108/RIBS-08-2020-0102

Alwan, H. A., & Al-Zubi, A. I. (2016). Determinants of internet banking adoption among customers of commercial banks: An empirical study in the Jordanian banking sector. International Journal of Business and Management, 11(3), 95–104. https://doi.org/10.5539/ijbm.v11n3p95

Asosiasi Penyelenggara Jasa Internet Indonesia. (2020). Laporan survei internet APJII 2019 – 2020 (Asosiasi Penyelenggara Jasa Internet Indonesia (ed.)).

Bagozzi, R. P., Davis, F. D., & Warshaw, P. R. (1992). Development and test of a theory of technological learning and usage. Human Relations, 45(7), 659–686. https://doi.org/10.1177/001872679204500702

Chandio, F. H., Irani, Z., Zeki, A. M., Shah, A., & Shah, S. C. (2017). Online banking information systems acceptance: An empirical examination of system characteristics and web security. Information Systems Management, 34(1), 50–64. https://doi.org/10.1080/10580530.2017.1254450

Chawla, D., & Joshi, H. (2020). The moderating role of gender and age in the adoption of mobile wallet. Foresight, 22(4), 483–504. https://doi.org/10.1108/FS-11-2019-0094

Chiu, J. L., Bool, N. C., & Chiu, C. L. (2017). Challenges and factors influencing initial trust and behavioral intention to use mobile banking services in the Philippines. Asia Pacific Journal of Innovation and Entrepreneurship, 11(2), 246–278. https://doi.org/10.1108/APJIE-08-2017-029

Chuchuen, C. (2016). The perception of mobile banking adoption: The study of behavioral, security, and trust in Thailand. International Journal of Social Science and Humanity, 6(7), 547–550. https://doi.org/10.7763/IJSSH.2016.V6.708

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008

DI-Marketing. (2017). Study about banking industry in Indonesia. In di-onlinesurvey.com.

El-Masri, M. (2020). The moderating effect of individual differences on the acceptance and use of internet banking. Journal of Electronic Commerce in Organizations, 18(3), 95–116. https://doi.org/10.4018/JECO.2020070106

Faqih, K. M. S., & Jaradat, M.-I. R. (2015). Mobile healthcare adoption among patients in a developing country environment: Exploring the influence of age and gender differences. International Business Research, 8(9), 142–174. https://doi.org/10.5539/ibr.v8n9p142

Fishbein, M. A., & Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Reading, MA: Addison-Wesley.

Giordani, G., Floros, C., & Judge, G. (2014). Econometric investigation of internet banking adoption in Greece. Journal of Economic Studies, 41(4), 586–600. https://doi.org/10.1108/JES-04-2011-0042

Giovanis, A. N., Binioris, S., & Polychronopoulos, G. (2012). An extension of TAM model with IDT and security/privacy risk in the adoption of internet banking services in Greece. EuroMed Journal of Business, 7(1), 24–53. https://doi.org/10.1108/14502191211225365

Glavee-Geo, R., Shaikh, A. A., & Karjaluoto, H. (2017). Mobile banking services adoption in Pakistan: Are there gender differences? International Journal of Bank Marketing, 35(7), 1090–1114. https://doi.org/10.1108/IJBM-09-2015-0142

Hair, J. F., Hult, G., Tomas, M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). SAGE Publications, Inc.

Jiménez, J. R. Z., & Díaz, I. A. (2019). Educational level and internet banking. Journal of Behavioral and Experimental Finance, 22, 31–40. https://doi.org/10.1016/j.jbef.2019.01.004

José Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Role of gender on acceptance of mobile payment. Industrial Management & Data Systems, 114(2), 220–240. https://doi.org/10.1108/IMDS-03-2013-0137

Kock, N. (2013). Using WarpPLS in E-collaboration studies. International Journal of E-Collaboration, 9(3), 1–12. https://doi.org/10.4018/jec.2013070101

Kock, N. (2017). WarpPLS user manual: Version 6.0. ScriptWarp Systems, Texas, USA.

Lee, J.-M. (2019). Determinants of mobile payment usage and the moderating effect of gender: Extending the UTAUT model with privacy risk. International Journal of Electronic Commerce Studies, 10(1), 43–64. https://doi.org/10.7903/ijecs.1644

Li, H., & Lai, M. M. (2011). Demographic differences and internet banking acceptance. MIS Review, 16(2), 55–92.

Marakarkandy, B., Yajnik, N., & Dasgupta, C. (2017). Enabling internet banking adoption: An empirical examination with an augmented technology acceptance model (TAM). Journal of Enterprise Information Management, 30(2), 263–294. https://doi.org/10.1108/JEIM-10-2015-0094

Merhi, M., Hone, K., Tarhini, A., & Ameen, N. (2021). An empirical examination of the moderating role of age and gender in consumer mobile banking use: A cross-national, quantitative study. Journal of Enterprise Information Management, 34(4), 1144–1168. https://doi.org/10.1108/JEIM-03-2020-0092

Meyers-Levy, J., & Sternthal, B. (1991). Gender differences in the use of message cues and judgments. Journal of Marketing Research, 28(1), 84–96. https://doi.org/10.2307/3172728

Nasir, M. A., Wu, J., Yago, M., & Li, H. (2015). Influence of psychographics and risk perception on internet banking adoption: Current state of affairs in Britain. International Journal of Economics and Financial Issues, 5(2), 461–468.

Otoritas Jasa Keuangan. (2015). Bijak ber-eBanking. Jakarta: Otoritas Jasa Keuangan.

Patel, K. J., & Patel, H. J. (2018). Adoption of internet banking services in Gujarat. International Journal of Bank Marketing, 36(1), 147–169. https://doi.org/10.1108/IJBM-08-2016-0104

PricewaterhouseCoopers Indonesia. (2018). PwC survey: Digital banking in Indonesia 2018. PricewaterhouseCoopers Indonesia.

Republik Indonesia. (2012). Undang-Undang Republik Indonesia nomor 12 tahun 2012 tentang Pendidikan Tinggi.

Sahni, S. K., & Mann, B. J. S. (2018). The moderating impact of gender on the determinants of behavioral intention towards internet banking in India. The IUP Journal of Bank Management, 17(4), 7–36.

Salem, M. Z., Baidoun, S., & Walsh, G. (2019). Factors affecting Palestinian customers’ use of online banking services. International Journal of Bank Marketing, 37(2), 426–451. https://doi.org/10.1108/IJBM-08-2018-0210

Shanmugam, M., Wang, Y.-Y., Bugshan, H., & Hajli, N. (2015). Understanding customer perceptions of internet banking: The case of the UK. Journal of Enterprise Information Management, 28(5), 622–636. https://doi.org/10.1108/JEIM-08-2014-0081

Sharma, R., Singh, G., & Sharma, S. (2020). Modelling internet banking adoption in Fiji: A developing country perspective. International Journal of Information Management, 53, 102116. https://doi.org/10.1016/j.ijinfomgt.2020.102116

Singh, S., & Srivastava, R. K. (2018). Predicting the intention to use mobile banking in India. International Journal of Bank Marketing, 36(2), 357–378. https://doi.org/10.1108/IJBM-12-2016-0186

Suki, N. (2011). Gender, age, and education: Do they really moderate online music acceptance? Communications of the IBIMA, 2011, 1–18. https://doi.org/10.5171/2011.959384

Teo, A. C., Tan, G. W. H., Cheah, C. M., Ooi, K. B., & Yew, K. T. (2012). Can the demographic and subjective norms influence the adoption of mobile banking? International Journal of Mobile Communications, 10(6), 578–579. https://doi.org/10.1504/IJMC.2012.049757

Venkatesh, Thong, & Xu. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412

Venkatesh, V., & Morris, M. G. (2000). Why don’t men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly, 24(1), 115–139. https://doi.org/10.2307/3250981

Vuković, M., Pivac, S., & Kundid, D. (2019). Technology acceptance model for the internet banking acceptance in split. Business Systems Research Journal, 10(2), 124–140. https://doi.org/10.2478/bsrj-2019-022

Wang, Q., & Sun, X. (2016). Investigating gameplay intention of the elderly using an extended technology acceptance model (ETAM). Technological Forecasting and Social Change, 107, 59–68. https://doi.org/10.1016/j.techfore.2015.10.024

Wang, Q., Sun, X., Cobb, S., Lawson, G., & Sharples, S. (2016). 3D printing system: An innovation for small-scale manufacturing in home settings? Early adopters of 3D printing systems in China. International Journal of Production Research, 54(20), 6017–6032. https://doi.org/10.1080/00207543.2016.1154211

Yousafzai, S., & Yani‐de‐Soriano, M. (2012). Understanding customer‐specific factors underpinning internet banking adoption. International Journal of Bank Marketing, 30(1), 60–81. https://doi.org/10.1108/02652321211195703

Yuan, S., Liu, Y., Yao, R., & Liu, J. (2016). An investigation of users’ continuance intention towards mobile banking in China. Information Development, 32(1), 20–34. https://doi.org/10.1177/0266666914522140

Downloads

Published

2022-04-21

How to Cite

Sihotang, E. T., & Murdiawati, D. (2022). Acceptance of internet banking services: The role of demographic factors as moderating variables: Bahasa Inggris. Jurnal Ekonomi Dan Bisnis, 25(1), 153–176. https://doi.org/10.24914/jeb.v25i1.4513

Issue

Section

Articles