Perception and Acceptance of Risk for Online Learning: Digitalization

  • Nor Rahimy Khalid POLITEKNIK NILAI
  • Suraya Akmar Mokhtaruddin Politeknik Ungku Omar
  • Zanatul Shima Aminuddin Jabatan Pendidikan Politeknik dan Kolej Komuniti
Keywords: acceptance of risk, adaption of online learning, digitalization, flexibility learning online learning, perception of risk,


This study determines the acceptance of online learning by identify the intention applied online learning. The study identifies the perception of risk and acceptance of risk for intention to use online learning. A questionnaire was voluntarily completed by 452 undergraduate technical and vocational students, online education has been generally accepted during covid 19 pandemic. The finding from structural equation modelling analyses indicated that perception of risk positively influence intention to use online learning and acceptance of risk negatively influence online learning.  Furthermore, it proves that online learning is convenience and student prefer to enroll in synchronous and asynchronous online, however the negative relationship between acceptance of risk for intention to use online learning indicate that. Unwillingness for physical class due to mobility and safety. The findings of this study are remarkable to understand the acceptance of online learning that leads to digital nation in future. Online learning had accelerated the speed of digitalization. Digital is convenience and create a flexibility. Furthermore, digitalization creates a trend worldwide and gain more popularity. 


Aghekyan-Simonian, M., Forsythe, S., Suk Kwon, W., & Chattaraman, V. (2012). The role of product brand image and online store image on perceived risks and online purchase intentions for apparel. Journal of Retailing and Consumer Services, 19(3), 325–331.
Ahmad, A., Mohd Noor, S., & Che Wel, C. A. (2014). Factors Influencing Consumers’ Purchase Decision of Private Label Brand Products. International Journal of Economic Practice and Theories, 4(2), 101–110.
Ajzen, I. (2011). The theory of planned behaviour: reactions and reflections. Psychology & Health, 26(9), 1113–1127.
Bang, H., Odio, M. a., & Reio, T. (2014). The moderating role of brand reputation and moral obligation: An application of the theory of planned behavior. Journal of Management Development, 33(4), 282–298.
Bao, Y., & Mandrik, C. A. (2004). Discerning Store Brand Users from Value Consciousness Consumers : The Role of Prestige Sensitivity and Need for Cognition. Advances in Consumer Research, 31(Association for Consumer Research), 707–712.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. In Statistical Power Analysis for the Behavioral Sciences (Vol. 2nd, p. 567).
Govers, P. C. M., & Schoormans, J. P. . (2005). Product personality and its influence on consumer preference. Journal of Consumer Marketing, 22(4), 189–197.
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2010). Multivariate Data Analysis (7th Edition). In Uppersaddle River, New Jersey: Pearson Education International.
Hair, J. F. J., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Premier On Partial Least Squares Structural Equation Modeling (PLS-SEM) (Second Edi). SAGE Publication.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 45(1), 115–135.
Humaira, M. A., Djuanda, U., Barat, J., Riana, A., Tambunan, S., Medan, U. N., Utara, S., Rachmadtullah, R., Timur, J., Samsudin, A., Indonesia, U. P., & Barat, J. (2020). Using Blended Learning Approach ( BLA ) in Inclusive Education Course : A Study Investigating Teacher Students ’ Perception. Journal of Emerging Technologies in Learning, 15.2(72), 72–85.
Kawane, T., Adu-gyamfi, B., & Shaw, R. (2022). Exploring the elements of strengthening online higher education in disaster risk reduction : a perspective of sustained strategy in.
Kim, H.-S., & Hong, H. (2011). Fashion Leadership and Hedonic Shopping Motivations of Female Consumers. Clothing and Textiles Research Journal, 29, 314–330.
Kumar, M., Salim, A. T., & Ramayah, T. (2013). Business research methods (1st Editio). Oxford Fajar.
Lichy, J., Khvatova, T., Pon, K., & Lyon, C. De. (2013). Engaging in digital technology : one size fits all ?
Marafon, D. L., Kenny Basso, Espartel, L. B., Barcellos, M. D. de, & Rech, E. (2018). Perceived risk and intention to use internet banking the effects of self confidence and risk acceptance. International Journal of Bank Marketing.
Ringle, C. M., Wende, S., & Becker, J. . (2015). SmartPLS 3.0. Http://Www.Smartpls.De.
Sayogo, D. S. (2016). Online traceability for Halal product information: perceptions of Muslim consumers in Indonesia. Journal of Islamic Marketing, 7(1).
Schiffman, L. G., & Kanuk, L. L. (2010). Consumer Behavior 10th Edition. In Pearson Education (Global Edi).
Sekaran, U., & Bougie, R. (2016). Research Methods for Business 7th Edition. In Research methods for business (p. 420). Wiley.
Stevens, G. J., Bienz, T., Wali, N., & Condie, J. (2021). Online university education is the new normal : but is face-to-face better ? 18(3), 278–297.
Urbach, N., & Ahlemann, F. (2010). Structural Equation Modeling In Information Systems Research Using Partial Least Squares. Journal of Information Technology Theory and Application, 11(2), 5–40.
Warden, C. A., Yi-shun, W., Stanworth, J. O., & Chen, J. F. (2022). Millennials ’ technology readiness and self-efficacy in online classes. Innovations in Education and Teaching International, 59(2), 226–236.
Webb, A., Mcquaid, R. W., & Webster, C. W. R. (2021). Moving learning online and the COVID-19 pandemic : a university response. 18(1), 1–19.
Wel, C. A. C., Alam, S. S., Khalid, N. R., & Mokhtaruddin, S. A. (2018). Effect of Ethnocentrism and Patriotism on the Buying Intention of Malaysian National Car. Jurnal Pengurusan, 52.
Yuhanis, A. A., & Chok, N. V. (2012). The Role of Halal Awareness, Halal Certification, and Marketing Components in Determining Halal Purchase Intention Among Non-Muslims in Malaysia: A Structural Equation Modeling Approach. Journal of International Food & Agribusiness Marketing, 25(1), 1–23.
Zare, S., & Chukwunonso, F. (2015). How Travel Agencies can Differentiate Themselves to Compete with Online Travel Agencies in the Malaysian Context. E-Review of Torism Research, 12.