PERCEIVED CYBERCRIME RISK: MODIFICATION OF THE TECHNOLOGY ACCEPTANCE MODEL ON GENERATION Z

Authors

  • Julina Julina Universitas Islam Negeri Sultan Syarif Kasim
  • Desrir Miftah Universitas Islam Negeri Sultan Syarif Kasim
  • Didin Hadi Saputra Universitas Nahdlatul Wathan Mataram

DOI:

https://doi.org/10.35145/icobima.v1i1.2844

Keywords:

Attitude, Intention, Perceived Ease of Use, Perceived Usefulness, Perceived Cybercrime Risk, Mobile Banking

Abstract

This study attempts to examine the factors that influence the intention to use mobile banking. The decision to use new technology has been widely studied by applying the Technology Acceptance Model (TAM). The main variables in TAM are intention, perceived ease of use, perceived usefulness, and attitude. This study tries to add one more variable, namely the perception of risk of being exposed to cybercrime. Data were collected using a questionnaire adapted from previous studies. The data that has been collected is tested for validity and reliability for further analysis using Structural Equation Modeling (SEM). The results showed that the perceived ease of use had a positive and significant effect on attitudes and perceived usefulness. Another finding is that perceived usefulness affects attitudes and subsequently attitudes affect intentions to use mobile banking. The new variable added in this study, namely the perception of cybercrime risk has a negative and significant effect on intentions to use mobile banking. Based on the findings of this study, it is recommended that banks improve features that provide ease of use and are useful in conducting transactions using mobile banking. This will encourage the public to have a positive attitude and be supported by minimizing the risk of cybercrime, which will increase public interest in using mobile banking.

Downloads

Download data is not yet available.

References

Ajzen, I., 1991. The theory of planned behaviour. Organ. Behav. Hum. Decis. Process.
50 (2), 179–211.
Albaroodi, H.A., Abomaali, M., & Manickam, S. (2019). Iraqi’s organizations awareness to
prompt open source cloud computing (oscc) in their service: a study, in: International Conference on Advances in Cyber Security, Springer, pp. 305–319.
Alzubaidi, A. (2021). Measuring the level of cyber-security awareness for cybercrime in Saudi
Arabia, Heliyon, 7, e06016.
Annisa, T. (2021). 5 Perbedaan Generasi Milenial dan Generasi Z dalam dunia kerja, Online dari https://www.ekrut.com/media/ini-perbedaan-generasi-milenial-dan-generasi-z-dalam-dunia-kerja
Eriksson, K., Kerem, K., & Nilsson, D. (2005). Customer acceptance of internet banking in Estonia, International Journal of Bank Marketing, vol. 23, no. 2, pp. 200-216.
Hassan, H.E., & Woodb, V.R. (2019). Does Country Culture Influence Consumers' Perceptions
Toward Mobile Banking? A Comparison Between Egypt and The United States, Telematics and Informatics doi: https://doi.org/10.1016/j.tele.2019.101312
Kallanmarthodi, G., & Vaithiyanathan, M. (2012). Assessment of a Modified Technology Acceptance Model among E-banking Customers in Coimbatore City, International Journal of Innovation, Management and Technology, Vol. 3, No. 2,
Kim, K.K., Prabhakar, B., & Park, S.K. (2009). Trust, Perceived Risk, and Trusting Behavior
in Internet Banking, Asia Pacific Journal of Information Systems, Vol. 19, No. 3
Perner, L. (2010). Consumer behavior: the psychology of marketing. Retrieved October 2, 2010, from http://www.consumerpsychologist.com/
Pikkarainen, T., Pikkarainen, K., Karjaluoto, K., & Pahnila, S. (2004) Consumer acceptance of online banking: an extension of the technology acceptance model,” Internet Research, vol. 14, no. 3, pp. 224-235
Shankar, A., & Rishi, B. Convenience matter in mobile banking adoption intention? Australasian Marketing Journal, https://doi.org/10.1016/j.ausmj.2020.06.008
Sobti, N., 2019. Impact of demonetization on diffusion of mobile payment service in
India: antecedents of behavioral intention and adoption using extended UTAUT
model. J. Adv. Manage. Res. 16 (4), 472–497.
Solomon, M. (2008). Consumer behavior buying, having, and being (8th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
Thakur, R., Srivastava, M., 2013. Customer usage intention of mobile commerce in
India: an empirical study. J. Indian Bus. Res. 5 (1), 52–72
Thusi, P., & Maduku, D.K. (2020) South African millennials’ acceptance and use of retail mobile banking apps: An integrated perspective, Computers in Human Behavior, 111 106405.
Wang, Y. Wang, Y., Lin, H., & Tang, T. (2003). Determinants of user acceptance of internet banking: an empirical study, International Journal of Service Industry Management, vol. 14, no. 5, pp. 501-519.

Downloads

Published

2022-11-30

Most read articles by the same author(s)