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COLLNET Journal of Scientometrics and Information Management cover
Open Access ·Peer-reviewed·ISSN (Online): 2168-930X·ISSN (Print): 0973-7766

WoS  JIF 2026 : 0.6 (Q3)

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Open Access Research Article

The mainstream and pattern detection of e-learning acceptance research : Insights from a bibliometric analysis (2010-2021)

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pp. 39–59Vol. 17Issue 1June 2023DOI: 10.47974/CJSIM-2022-0008XML
Published Online:
01 Jun 2023
Article type:
Research Article
Language:
EN
Article no.:
CJSIM-2022-0008
Pages:
39–59

Abstract

Electronic learning has begun to attract the attention with Covid-19 pandemic. In this regard, it will be timely and critical to conduct a bibliometric analysis to identify developments in e-learning adoption research and to guide future research. In this study, a total of 1251 studies about the adoption of e-learning conducted in the last eleven years as of June 2021, reached with the scanning of the Web of Science (WoS) database, were identified and bibliometric analysis was performed on these studies. VOSviewer software was used in order to conduct bibliometric mapping, and Harzing’s Publish and Perish software was used to calculate the h-index. According to the bibliometric analysis, the research on the adoption of e-learning is a field that has grown and developed exponentially since 2010. While Taiwan draws attention as the most contributing country in the e-learning adoption literature, National Central University was the contributing institution. According to the keyword co-occurrence analysis, in terms of e-learning adoption studies, the keywords such as mobile learning, blended learning, higher education, TAM, UTAUT and structural equation model came to the fore. In recent years, covid-19, mobile technologies, flipped classrooms, social media, MOOC, PLS-SEM, and UTAUT-2 stand out as trending topics. As a result, the findings of the study provide a comprehensive description of the field and provide important, enlightening and stimulating information for researchers who are willing to conduct studies on e-learning adoption and will be willing to do so in the future.

Keywords

References

[1] Gurcan, F., Ozyurt, O., & Cagitay, N. E., Investigation of emerging trends in the e-learning field using latent dirichlet allocation. International Review of Research in Open and Distributed Learning, 22(2), 1-18 (2021).[2] Al-Fraihat, D., Joy, M., & Sinclair, J., Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102, 67-86 (2020).[3] Kuliya, M., & Usman, S. Perceptions of E-learning among undergraduates and academic staff of higher educational institutions in north-eastern Nigeria. Education and Information Technologies, 26, 1787-1811 (2021).[4] Al-Rahmi, W. M., Alias, N., Othman, M. S., Alzahrani, A. I., Alfarraj, O., Saged, A. A., & Rahman, N. S. A. Use of e-learning by university students in Malaysian higher educational institutions: A case in Universiti Teknologi Malaysia. Ieee Access, 6, 14268-14276 (2018).[5] Wolfe, C. R., & Cedillos, E. M., E-Communications Platforms and E-Learning. In International Encyclopedia of the Social & Behavioral Sciences: Second Edition (2015), doi: 10.1016/B978-0-08-097086-8.41022-6.[6] Cheon, J., Lee, S., Crooks, S. M., & Song, J., An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & education, 59(3), 1054-1064 (2012).[7] Li, C., He, L., & Wong, I. A., Determinants predicting undergraduates’ intention to adopt e-learning for studying english in chinese higher education context: A structural equation modelling approach. Education and Information Technologies, 26, 4221-4239 (2021).[8] Šumak, B., Heričko, M., & Pušnik, M., A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types. Computers in Human Behavior (2011), doi: 10.1016/j.chb.2011.08.005.[9] Surendran, P., Technology acceptance model: A survey of literature. International journal of business and social research, 2(4), 175-178 (2012).[10] Legris, P., Ingham, J., & Collerette, P., Review of the technology acceptance model. Information and management, 40(3), 191-204 (2003).[11] Ajzen, I., Understanding attitudes and predictiing social behavior. Englewood cliffs (1980).[12] Icek, A., The theory of planned behavior. Organizational behavior and human decision processes, 179-211 (1991).[13] DeLone, W. H., & McLean, E. R., Information systems success: The quest for the dependent variable. Information Systems Research (1992), doi: 10.1287/isre.3.1.60.[14] Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D., User acceptance of information technology: Toward a unified view. MIS Quarterly, 2003, 425-478 (2003).[15] Venkatesh, V., Thong, J. Y., & Xu, X., Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178 (2012).[16] Abbad, M. M., Morris, D., & de Nahlik, C., Looking under the Bonnet: Factors affecting student adoption of E-learning systems in Jordan. International Review of Research in Open and Distributed Learning, 10(2) (2009), doi: 10.19173/irrodl.v10i2.596.[17] Abdullah, F., & Ward, R., Developing a General Extended Technology Acceptance Model for E-Learning (GETAMEL) by analysing commonly used external factors. Computers in human behavior, 56, 238-256 (2016).[18] Rahmi, B., Birgoren, B., & Aktepe, A., Identifying factors affecting intention to use in distance learning systems. Turkish Online Journal of Distance Education, 22(2), 58-80 (2021).[19] Mohammadi, H., Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Computers in human behavior, 45, 359-374 (2015).[20] Okazaki, S., & Renda dos Santos, L. M., Understanding e-learning adoption in Brazil: Major determinants and gender effects. International Review of Research in Open and Distributed Learning, 13(4), 91-106 (2012).[21] Rizun, M., & Strzelecki, A., Students’ acceptance of the COVID-19 impact on shifting higher education to distance learning in Poland. International journal of environmental research and public health, 17(18), 6468 (2020).[22] Salloum, S. A., Al-Emran, M., Shaalan, K., & Tarhini, A., Factors affecting the E-learning acceptance: A case study from UAE. Education and Information Technologies, 24, 509- 530 (2019).[23] Tan, P. J. B., Applying the UTAUT to understand factors affecting the use of English elearning websites in Taiwan. SAGE Open, 3(4) (2013), doi: 10.1177/2158244013503837.[24] Tarhini, A., Hone, K., & Liu, X., Measuring the moderating effect of gender and age on elearning acceptance in England: A structural equation modeling approach for an extended technology acceptance model. Journal of Educational Computing Research, 51(2),163-184 (2014).[25] Hung, J. L., Trends of e-learning research from 2000 to 2008: Use of text mining and bibliometrics. British Journal of Educational Technology, 43(1), 5-16 (2012).[26] Taylor, E. W., Adult Education Quarterly from 1989 to 1999: A content analysis of all submissions. Adult Education Quarterly, 51(4), 322-340 (2001).[27] Mashroofa, M. M., Jusoh, M., & Chinna, K., Research trend on the application of “ELearning Adoption Theory”: A scientometric study during 2000-2019, based on Web of Science and SCOPUS. COLLNET Journal of Scientometrics and Information Management, 13(2), 387-408 (2019).[28] Negahban, M. B., Network analysis and scientific mapping of the field of e-learning in Iran. COLLNET Journal of Scientometrics and Information Management, 15(1), 1-8 (2021).[29] Gurcan, F., & Ozyurt, O., Emerging trends and knowledge domains in E-learning researches: Topic modeling analysis with the articles published between 2008-2018. Journal of Computer and Education Research, 8(16), 738-756 (2020).[30] Mongeon, P., & Paul-Hus, A., Liputan jurnal Web of Science dan Scopus: analisis komparatif. Scientometrics, 106(1), 213-228 (2016).[31] Small, H., Visualizing science by citation mapping. Journal of the American society for Information Science, 50(9), 799-813 (1999).[32] Ganjihal, G., & Gowda, M. P., ACM transaction on information systems (1989-2006): A bibliometric study. Information Studies, 14(4), 223-234 (2008).[33] van Eck, N. J., & Waltman, L., Citation-based clustering of publications using CitNetExplorer and VOSviewer. Scientometrics, 111(2), 1053-1070 (2017).[34] Harzing, A., Publish or Perish. https://harzing.com/resources/publish-or-perish (2007).[35] Cobo, M. J., Martínez, M. Á., Gutiérrez-Salcedo, M., Fujita, H., & Herrera-Viedma, E. 25 years at knowledge-based systems: a bibliometric analysis. Knowledge-based systems, 80, 3-13 (2015).[36] van Eck, N. J., & Waltman, L., Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523-538 (2010).[37] Özköse, H., & Gencer, C. T., Bibliometric analysis and mapping of management information systems field. Gazi University Journal of Science, 30(4), 356-371 (2017).[38] Tekdal, M., Trends and development in research on computational thinking. Education and Information Technologies, 26(5), 6499-6529 (2021).[39] Singh, M., Adebayo, S. O., Saini, M., & Singh, J., Indian government E-learning initiatives in response to COVID-19 crisis: A case study on online learning in Indian higher education system. Education and Information Technologies, 26(6), 7569-7607 (2021).[40] Yunusa, A. A., & Umar, I. N., A scoping review of critical predictive factors (CPFs) of satisfaction and perceived learning outcomes in E-learning environments. Education and Information Technologies, 26, 1223-1270 (2021).[41] Chatti, H., & Hadoussa, S., Factors affecting the adoption of E-learning technology by students during the COVID-19 quarantine period: The application of the UTAUT model. Engineering, Technology & Applied Science Research, 11(2), 6993-7000 (2021).[42] Abbad, M. M., Using the UTAUT model to understand students’ usage of e-learning systems in developing countries. Education and Information Technologies, 26(6), 7205-7224 (2021).[43] San-Martín, S., Jiménez, N., Rodríguez-Torrico, P., & Piñeiro-Ibarra, I., The determinants of teachers’ continuance commitment to e-learning in higher education. Education and Information Technologies, 25(4), 3205-3225 (2020).[44] Cicha, K., Rizun, M., Rutecka, P., & Strzelecki, A., COVID-19 and higher education: Firstyear students’ expectations toward distance learning. Sustainability, 13(4), 1889 (2021).[45] Mailizar, M., Burg, D., & Maulina, S., Examining university students’ behavioural intention to use e-learning during the COVID-19 pandemic: An extended TAM model. Education and Information Technologies, 26(6), 7057-7077 (2021).[46] Raza, S., Qazi, W., Khan, K., & Salam, J., Aislamiento social y aceptación del sistema de gestión del aprendizaje (LMS) en tiempos de la pandemia COVID-19: Una expansión del modelo UTAUT. Journal of Educational Computing Research (2020).[47] Yu, P., E-learning practice at universities and colleges in Taiwan. Taipei (2021). [48] Arezki, R., Fan, R. Y., & Nguyen, H., Technology adoption and the middle-income trap: Lessons from the Middle East and East Asia. Review of Development Economics, 25(3),1711-1740 (2021).[49] Davis, F. D., Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340 (1989).[50] Bhattacherjee, A., Understanding information systems continuance: An expectationconfirmation model. MIS quarterly, 25(3), 351–370 (2001).[51] Bhattacherjee, A., An empirical analysis of the antecedents of electronic commerce service continuance. Decision support systems, 32(2), 201-214 (2001).[52] Vanderstraeten, R., Vandermoere, F., & Hermans, M., Scholarly communication in AERA journals, 1931 to 2014. Review of Research in Education, 40(1), 38-61 (2016).[53] Wang, S. C., Cowie, B., & Jones, A., Challenges of e-learning for university instructors in Taiwan. In The 16th International Conference on Computers in Education (ICCE 2008). Taipei, Taiwan, pp. 229-236, (2008, October).[54] Haron, H., & Sahar, S., An Investigation on predictors of e-learning adoption among Malaysian e-learners. In 2010 International Conference on Science and Social Research (CSSR 2010), pp. 927-932. IEEE (2010, December).
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