Penerapan Model UTAUT, Personal Innonvativeness dan Perceived Financial Cost dalam penggunaan E-Learning selama Pandemi Covid-19
DOI:
https://doi.org/10.31004/jptam.v6i2.4515Keywords:
UTAUT, Personal Innoativeness In Information Technology, Perceived Financial CostAbstract
Penelitian ini bertujuan untuk mengetahui behavioral intentions individu dalam penggunaan E-Learning sebagai pembelajaran yang dilakukan selama masa pandemi Covid-19. Penelitian ini menggunakan model Unified Theory of Technology Acceptance and Use (UTAUT) untuk mengidentifikasi niat perilaku dalam penggunaan E-learning dan menentukan dampak inovasi pribadi dan biaya keuangan yang dirasakan dari E-learning selama periode Covid-19. Populasi yang digunakan dalam penelitian ini adalah siswa kelas X dan XI Jurusan Manajemen Perkantoran Otomatis SMK Negeri 4 Surabaya dengan jumlah sampel 100 orang dengan menggunakan teknik Simple Random Sampling. Metode pengumpulan data menggunakan kuesioner. Analisis data yang digunakan dalam penelitian ini adalah Structural Equation Modelling - Partial Least Square (SEM-PLS). Hasil penelitian ini adalah Performance Expectancy, Effort Expectancy dalam model Utaut berpengaruh signifikan terhadap penggunaan E-learning dan Personal Innovativeness berpengaruh signifikan terhadap Performance Expectancy dan Effort Expectancy serta dampak finansial yang dirasakan tidak berdampak signifikan terhadap penggunaan E-learning di masa pandemi Covid-19. Keterbatasan penelitian ini adalah model yang diusulkan hanya tersedia di SMKN 4 Surabaya, X dan XI khusus untuk manajemen perkantoran. Ini diuji untuk siswa di ruang kelas. Keaslian penelitian ini adalah untuk mengukur dampak model UTAUT, inovasi pribadi dan biaya keuangan yang dirasakan dari penggunaan E-learning.
References
Abdillah, W., & Hartono, J. (2015). Partial least square (PLS)?: Alternatif structural equation modeling (SEM) dalam penelitian bisnis. Andi.
Abdou, D., & Jasimuddin, S. M. (2020). The use of the UTAUT model in the adoption of E-learning technologies: An empirical study in France based banks. Journal of Global Information Management, 28(4), 38–51. https://doi.org/10.4018/JGIM.2020100103
Adedoyin, O. B., & Soykan, E. (2020). Covid-19 pandemic and online learning: the challenges and opportunities. Interactive Learning Environments, 0(0), 1–13. https://doi.org/10.1080/10494820.2020.1813180
Agarwal, R., & Prasad, J. (1998). A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology. Information Systems Research, 9(2), 204–215. https://doi.org/10.1287/isre.9.2.204
Aljawarneh, S. A. (2020). Reviewing and exploring innovative ubiquitous learning tools in higher education. Journal of Computing in Higher Education, 32(1), 57–73. https://doi.org/10.1007/s12528-019-09207-0
Alkawsi, G., Ali, N., & Baashar, Y. (2021). applied sciences The Moderating Role of Personal Innovativeness and Users Experience in Accepting the Smart Meter Technology.
Alkhwaldi, A. F., & Abdulmuhsin, A. A. (2021). Crisis-centric distance learning model in Jordanian higher education sector: factors influencing the continuous use of distance learning platforms during COVID-19 pandemic. Journal of International Education in Business. https://doi.org/10.1108/JIEB-01-2021-0001
Alshehri, A., Rutter, M. J., & Smith, S. (2019). An implementation of the UTAUT model for understanding students’ perceptions of Learning Management Systems: A Study within Tertiary Institutions in Saudi Arabia. International Journal of Distance Education Technologies, 17(3), 1–24. https://doi.org/10.4018/IJDET.2019070101
Ayensa, E. J., & Mosquera, A. (2016). Omnichannel customer behavior: Key drivers of technology acceptance and use and their effects on purchase intention. Frontiers in Psychology, 7(JUL), 9–10. https://doi.org/10.3389/fpsyg.2016.01117
Azwar, S. (2010). Metodelogi Penelitian. Yogyakarta: Pustaka Pelajar.
Chandra, T., Ng, M., Chandra, S., & Priyono. (2018). The effect of service quality on student satisfaction and student loyalty: An empirical study. Journal of Social Studies Education Research, 9(3), 109–131. https://doi.org/10.17499/jsser.12590
Chang, M. K., Cheung, W., & Lai, V. S. (2005). Literature derived reference models for the adoption of online shopping. Information & Management, 42(4), 543–559. https://doi.org/10.1016/j.im.2004.02.006
Chang, S. C., & Tung, F. C. (2008). An empirical investigation of students’ behavioural intentions to use the online learning course websites. British Journal of Educational Technology, 39(1), 71–83. https://doi.org/10.1111/j.1467-8535.2007.00742.x
Chin, W. W. (1998). Issues and opinion on structural equation modeling. MIS Quarterly: Management Information Systems, 22(1).
Dhiman, N., Arora, N., Dogra, N., & Gupta, A. (2020). Consumer adoption of smartphone fitness apps: an extended UTAUT2 perspective. Journal of Indian Business Research, 12(3), 363–388. https://doi.org/10.1108/JIBR-05-2018-0158
Ejemeyovwi, J. O., & Osabuohien, E. S. (2020). Investigating the relevance of mobile technology adoption on inclusive growth in West Africa. Contemporary Social Science, 15(1), 48–61. https://doi.org/10.1080/21582041.2018.1503320
Enez Darcin, A., Kose, S., Noyan, C. O., Nurmedov, S., Y?lmaz, O., & Dilbaz, N. (2016). Smartphone addiction and its relationship with social anxiety and loneliness. Behaviour and Information Technology, 35(7), 520–525. https://doi.org/10.1080/0144929X.2016.1158319
Ghozali, I., & Latan, H. (2015). Partial Least Squares?: Konsep, Teknik dan Aplikasi Menggunakan Program SmartPLS 3.0,. Badan Penerbit Undip.
Gunasinghe, A., Hamid, J. A., Khatibi, A., & Azam, S. M. F. (2020). The adequacy of UTAUT-3 in interpreting academician’s adoption to e-Learning in higher education environments. Interactive Technology and Smart Education, 17(1), 86–106. https://doi.org/10.1108/ITSE-05-2019-0020
Haider, A. S., & Al-Salman, S. (2020). Dataset of Jordanian university students’ psychological health impacted by using e-learning tools during COVID-19. Data in Brief, 32(July). https://doi.org/10.1016/j.dib.2020.106104
Hair, J. F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
Hussein, A. S. (2015). Penelitian bisnis dan manajemen menggunakan Partial Least Squares (PLS) dengan SmartPLS 3.0. Universitas Brawijaya.
Kim, B., & Park, M. J. (2018). Effect of personal factors to use ICTs on e-learning adoption: comparison between learner and instructor in developing countries. Information Technology for Development, 24(4), 706–732. https://doi.org/10.1080/02681102.2017.1312244
Kim, W., di Benedetto, C. A., & Lancioni, R. A. (2011). The effects of country and gender differences on consumer innovativeness and decision processes in a highly globalized high-tech product market. Asia Pacific Journal of Marketing and Logistics, 23(5), 714–744. https://doi.org/10.1108/13555851111183101
Kiwanuka, A. (2015). Acceptance Process?: The Missing Link between UTAUT and Diffusion of Innovation Theory. American Journal of Information Systems, 3(2), 40–44. https://doi.org/10.12691/ajis-3-2-3
Lilis, A., Iswara, U. S., & Retnani, E. D. (2020). The Effectiveness of Using E-Learning as Learning Media. JKBM (Jurnal Konsep Bisnis Dan Manajemen), 7(November), 72–81. https://doi.org/10.31289/jkbm.v7i1.4333
Luarn, P., & Lin, H. H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873–891. https://doi.org/10.1016/j.chb.2004.03.003
Makanyeza, C., & Mutambayashata, S. (2018). ?? (Article) ? ??? (Information) [. The Eletronic Library, 34(1), 1–5.
Mican, D. (2021). Mobile learning acceptance and use in higher education during social distancing circumstances?: an expansion and customization of UTAUT2. https://doi.org/10.1108/OIR-01-2021-0017
Mittal, A., Mantri, A., Tandon, U., & Dwivedi, Y. K. (2021). A unified perspective on the adoption of online teaching in higher education during the COVID-19 pandemic. Information Discovery and Delivery, November. https://doi.org/10.1108/IDD-09-2020-0114
Ofori, D., Appiah-nimo, C., & Wright, L. T. (2019). Determinants of online shopping among tertiary students in Ghana?: An extended technology acceptance model. Cogent Business & Management, 6(00), 1–20. https://doi.org/10.1080/23311975.2019.1644715
Parycek, P., Sachs, M., & Schossböck, J. (2012). Interactive Technology and Smart Education Article information?: Interactive Technology and Smart Education, 8(3), 161–171. doi.org/10.1108/17415651111165393
Pinho, C., Franco, M., & Mendes, L. (2021). Application of innovation diffusion theory to the E-learning process: higher education context. Education and Information Technologies, 26(1), 421–440. https://doi.org/10.1007/s10639-020-10269-2
Portuguez Castro, M., & Gómez Zermeño, M. G. (2020). Challenge based learning: Innovative pedagogy for sustainability through e-learning in higher education. Sustainability (Switzerland), 12(10). https://doi.org/10.3390/SU12104063
Rawashdeh, A. Z. Al, Mohammed, E. Y., Arab, A. R. Al, Alara, M., & Al-Rawashdeh, B. (2021). Advantages and disadvantages of using E-learning in university education: Analyzing students’ perspectives. Electronic Journal of E-Learning, 19(2), 107–117. https://doi.org/10.34190/ejel.19.3.2168
Sair, S. A., & Danish, R. Q. (2018). Effect of Performance Expectancy and Effort Expectancy on the Mobile Commerce Adoption Intention through Personal Innovativeness among Effect of Performance Expectancy and Effort Expectancy on the Mobile Commerce Adoption Intention through Personal Innova. September.
Sathishkumar, V., Radha, R., Saravanakumar, A., & K. Mahalakshmi. (2020). E-Learning during Lockdown of Covid-19 Pandemic: A Global Perspective. International Journal of Control and Automation, 13(June), 1088–1099.
Sugiyono, D. (2013). Metode penelitian pendidikan pendekatan kuantitatif, kualitatif dan R&D. Alfabeta.
Thongsri, N., Shen, L., Bao, Y., & Alharbi, I. M. (2018). Integrating UTAUT and UGT to explain behavioural intention to use M-learning A developing country ’ s perspective. https://doi.org/10.1108/JSIT-11-2017-0107
Toquero, C. M. (2020). Challenges and Opportunities for Higher Education amid the COVID-19 Pandemic: The Philippine Context. Pedagogical Research, 5(4), em0063. https://doi.org/10.29333/pr/7947
Twum, K. K., Ofori, D., Keney, G., & Korang-Yeboah, B. (2021). Using the UTAUT, personal innovativeness and perceived financial cost to examine student’s intention to use E-learning. Journal of Science and Technology Policy Management. https://doi.org/10.1108/JSTPM-12-2020-0168
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly: Management Information Systems, 36(1), 157–178. https://doi.org/10.2307/41410412
Wijaya, A. (2019). Metode penelitian menggunakan smart PLS 03. Innosain.
Wijesundara, T. (2017). IMPACT OF PERSONAL INNOVATIVENESS OF INFORMATION TECHNOLOGY ON INTENTION TO USE SOCIAL NETWORKING SITES Impacto da Inovação IMPACT OF PERSONAL INNOVATIVENESS OF INFORMATION TECHNOLOGY ON INTENTION TO USE SOCIAL. May.
Yakubu, M. N., & Dasuki, S. I. (2019). Factors affecting the adoption of e-learning technologies among higher education students in Nigeria: A structural equation modelling approach. Information Development, 35(3), 492–502. https://doi.org/10.1177/0266666918765907
Zhang, Y., Zhang, L., Wu, Y., Feng, L., Liu, B., Han, G., Du, J., & Yu, T. (2021). Factors Affecting Students’ Flow Experience of E-Learning System in Higher Vocational Education Using UTAUT and Structural Equation Modeling Approaches. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST: Vol. 356 LNICST. Springer International Publishing. https://doi.org/10.1007/978-3-030-69066-3_32
Zwain, A. A. A. (2019). Technological innovativeness and information quality as neoteric predictors of users’ acceptance of learning management system: An expansion of UTAUT2. Interactive Technology and Smart Education, 16(3), 239–254. https://doi.org/10.1108/ITSE-09-2018-0065
Downloads
Published
How to Cite
Issue
Section
Citation Check
License
Copyright (c) 2022 Duwi MulyaniAuthors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
