The Effect of Perceived Risk and Technology Self-Efficacy on Online Learning Intention: An Empirical Study in Vietnam

다국어 초록 (Multilingual Abstract)

In an effort to find ways to increase the effectiveness of online education, literature and empirical study based on the Technology Acceptance Model (TAM) have addressed a variety of questions, including perceived ease of use (PEU) and perceived usefulness (PU). After TAM, extensive studies have focused on the impact of extrinsic factors on PEU and PU, including Self-efficacy and Perceived Risk. This study aims to analyze the direct, indirect, and moderating effects of Self-efficacy and Perceived Risk on Online Learning Intention (OLI). Data was collected through a survey method from 472 students studying at universities in Vietnam. The collected data was analyzed using the PLS-SEM technique to test the hypotheses. The findings reveal that Technology Self-Efficacy influences the intention to take online courses both directly and indirectly through Perceived Ease of Use and Perceived Usefulness. Besides, Perceived Risk COVID-19 also has a positive effect on online learning intention, and plays a role as a moderating variable on the impact of PU on OLI. These findings suggest that students will have a stronger intention to study online when they are confident in their ability to use technology. When they believe in their ability to use technology, their online learning intention will also increase.

목차 (Table of Contents)

• 1. Introduction 2. Literature Review 3. Research Method 4. Results 5. Conclusion and Limitations

참고문헌 (Reference)

1 Ahmet Bulent Ozturk, "What keeps the mobile hotel booking users loyal? Investigating the roles of self-efficacy, compatibility, perceived ease of use, and perceived convenience" Elsevier BV 36 (36): 1350-1359, 2016

2 Jörg Henseler, "Using PLS path modeling in new technology research: updated guidelines" Emerald 116 (116): 2-20, 2016

3 Fred D. Davis, "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models" Institute for Operations Research and the Management Sciences (INFORMS) 35 (35): 982-1003, 1989

4 Jin Cai, "Understanding the continued use of flipped classroom instruction: a personal beliefs model in Chinese higher education" Springer Science and Business Media LLC 31 (31): 137-155, 2019

5 Rohollah Rezaei, "Understanding farmers’ ecological conservation behavior regarding the use of integrated pest management- an application of the technology acceptance model" Elsevier BV 22 : e00941-, 2020

6 Birgit Maser, "Travel Decision-Making: From the Vantage Point of Perceived Risk and Information Preferences" Informa UK Limited 7 (7): 107-121, 1998

7 Icek Ajzen, "The theory of planned behavior" Elsevier BV 50 (50): 179-211, 1991

8 Rita AMBARWATI, "The Role of Facilitating Conditions and User Habits: A Case of Indonesian Online Learning Platform" 한국유통과학회 7 (7): 481-489, 2020

9 Misbah NOREEN, "The Impact of Perceived Risk and Trust on Adoption of Mobile Money Services: An Empirical Study in Pakistan" 한국유통과학회 8 (8): 347-355, 2021

10 Lee, H. Y., "Testing the determinants of computerized reservation system users’ intention to use via a structural equation model" 30 (30): 246-266, 2006

11 S Bali, "Students’ perceptions toward online learning and face-to-face learning courses" IOP Publishing 1108 : 012094-, 2018

12 Claes Fornell, "Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics" JSTOR 18 (18): 382-388, 1981

13 Bandura, A., "Social foundations of thought and action" Prentice-Hall 1986

14 Albert Bandura, "Self-efficacy: Toward a unifying theory of behavioral change." American Psychological Association (APA) 84 (84): 191-215, 1977

15 Hossein G.T. Olya, "Risk assessment of halal products and services: Implication for tourism industry" Elsevier BV 65 : 279-291, 2018

16 Kieran Mathieson, "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior" Institute for Operations Research and the Management Sciences (INFORMS) 2 (2): 173-191, 1991

17 Bongkosh Ngamsom Rittichainuwat, "Perceived travel risks regarding terrorism and disease: The case of Thailand" Elsevier BV 30 (30): 410-418, 2009

18 Kassim, N. M., "Perceived risk factors influence on intention to continue using internet banking among Malaysians" 16 (16): 393-414, 2015

19 Daiane Lampugnani Marafon, "Perceived risk and intention to use internet banking" Emerald 36 (36): 277-289, 2018

20 Fred D. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology" JSTOR 13 (13): 319-340, 1989

21 Christian Nitzl, "Partial Least Squares Structural Equation Modelling (PLS-SEM) in Management Accounting Research: Critical Analysis, Advances, and Future Directions" Elsevier BV 37 : 19-35, 2016

22 Stavros A. Nikou, "Mobile-based assessment: Investigating the factors that influence behavioral intention to use" Elsevier BV 109 : 56-73, 2017

23 Bailey, A. A., "Mobile payments adoption by US consumers : An extended TAM" 16 (16): 46-63, 2017

24 Byoung-Chan Lee, "Learners’ acceptance of e-learning in South Korea: Theories and results" Elsevier BV 53 (53): 1320-1329, 2009

25 Oblinger, D., "Is it age or IT: First steps toward understanding the net generation" 2 (2): 20-, 2005

26 Myeong-Jun PARK, "Investigation of College Students’ Intention to Accept Online Education Services: An Application of the UTAUT Model in Korea" 한국유통과학회 8 (8): 327-336, 2021

27 Ukpabi, D., "Information and Communication Technologies in Tourism 2021" Springer 504-516, 2021

28 Greeni Maheshwari, "Factors affecting students’ intentions to undertake online learning: an empirical study in Vietnam" Springer Science and Business Media LLC 26 (26): 6629-6649, 2021

29 Cheng-Min Chao, "Factors Determining the Behavioral Intention to Use Mobile Learning: An Application and Extension of the UTAUT Model" Frontiers Media SA 10 : 1652-, 2019

30 Ufuk Cebeci, "Exploring the determinants of intention to use self-checkout systems in super market chain and its application" Growing Science 10 (10): 1027-1036, 2020

31 Said S. Al-Gahtani, "Empirical investigation of e-learning acceptance and assimilation: A structural equation model" Emerald 12 (12): 27-50, 2016

32 Sutrisno Hadi Purnomo, "E-learning adoption in the banking workplace in Indonesia" SAGE Publications 29 (29): 138-153, 2013

33 Bauer, R. A., "Dynamic marketing for a changing world" American Marketing Association 389-398, 1960

34 Vikas Arya, "Does digital footprint act as a digital asset? – Enhancing brand experience through remarketing" Elsevier BV 49 : 142-156, 2019

35 Fazil Abdullah, "Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors" Elsevier BV 56 : 238-256, 2016

36 Tantatape Brahmasrene, "Determinants of Intent to Continue Using Online Learning: A Tale of Two Universities" Informing Science Institute 7 (7): 001-020, 2012

37 Sandra M Forsythe, "Consumer patronage and risk perceptions in Internet shopping" Elsevier BV 56 (56): 867-875, 2003

38 Wei-jie Guan, "Clinical Characteristics of Coronavirus Disease 2019 in China" Massachusetts Medical Society 382 (382): 1708-1720, 2020

39 Fang Huang, "Chinese students’ intentions to use the Internet-based technology for learning" Springer Science and Business Media LLC 68 (68): 575-591, 2020

40 Hendy Mustiko Aji, "COVID-19 and e-wallet usage intention: A multigroup analysis between Indonesia and Malaysia" Informa UK Limited 7 (7): 1804181-, 2020

41 Jörg Henseler, "Bridging Design and Behavioral Research With Variance-Based Structural Equation Modeling" Informa UK Limited 46 (46): 178-192, 2017

42 Ya‐Ching Lee, "An empirical investigation into factors influencing the adoption of an e‐learning system" Emerald 30 (30): 517-541, 2006

43 Tae Goo Kim, "An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model" Elsevier BV 29 (29): 500-513, 2008

44 Park, S. Y., "An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning" 12 (12): 150-162, 2009

45 Hair, J., "A primer on partial least squares structural equation modeling(PLS-SEM)(2nd ed) : Thousand Oaks" Sage Publications 2017

46 Viswanath Venkatesh, "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies" Institute for Operations Research and the Management Sciences (INFORMS) 46 (46): 186-204, 2000

47 Viswanath Venkatesh, "A Model of the Antecedents of Perceived Ease of Use: Development and Test" Wiley 27 (27): 451-481, 1996

48 James P. Downey, "A Longitudinal Examination of the Effects of Computer Self-efficacy Growth on Performance during Technology Training" Informing Science Institute 14 : 091-111, 2015

49 Ajzen, I., "A Bayesian analysis of attribution processes" 82 (82): 261-, 1975