The Role of UTAUT2 in Understanding Technology Adoption: A Study of the Merdeka Mengajar Platform Among Indonesian Teachers

Authors

  • Siti Aminah Department of Informatics, Sekolah Tinggi Informatika & Komputer Indonesia, Malang, East Java, Indonesia
  • Addin Aditya Department of Information System, Sekolah Tinggi Informatika & Komputer Indonesia, Malang, East Java, Indonesia
  • Yekti Asmoro Kanthi Diploma of Information System, Sekolah Tinggi Informatika & Komputer Indonesia, Malang, East Java, Indonesia

DOI:

https://doi.org/10.34148/teknika.v13i3.1082

Keywords:

Behavioral Intention, Merdeka Mengajar Application, Technology Adoption, UTAUT 2 Model, Use Behavior

Abstract

This research investigates the adoption of the Merdeka Mengajar application using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. The study aims to identify the factors influencing teachers' behavioral intentions and usage behavior regarding this educational technology platform. A total of 383 teachers from various levels in Malang were sampled from a broader population of 8,936. Statistical analysis uses SEM (Structural Equation Modelling) analysis techniques. The findings suggest that performance expectancy, effort expectancy, social influence, hedonic motivation, and price value significantly influence behavioral intention. However, facilitating conditions and habit do not show a direct significant impact on use behavior. These results indicate that while technological support such as infrastructure and internet access is necessary, it alone may not be enough to motivate consistent usage without internal factors like perceived usefulness or enjoyment of the app. Moreover, the habitual use of new technology may require additional support and time before it can significantly affect behavior. This study contributes valuable insights into the adoption of educational technologies, especially in the Indonesian context, where digital learning platforms are increasingly being integrated into teaching practices. Future research may explore how ongoing support and user experience improvements can further enhance the app's adoption.

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References

A. Kurniawati, “The Impact of Covid-19 Pandemic on Learning in Indonesia,” Jurnal Mekom, vol. 8, no. 2, pp. 16–21, 2021.

M. Siahaan, “Dampak Pandemi Covid-19 Terhadap Dunia Pendidikan,” Jurnal Kajian Ilmiah, vol. 1, no. 1, pp. 73–80, Jul. 2020, doi: 10.31599/jki.v1i1.265.

I. Y. Alyoussef, “Acceptance of e-learning in higher education: The role of task-technology fit with the information systems success model,” Heliyon, vol. 9, no. 3, p. e13751, Mar. 2023, doi: 10.1016/j.heliyon.2023.e13751.

R. Naluwooza, F. Ayeni, K. Langmia, and V. Mbarika, “Fostering learning outcomes in a non-reading culture at foundational level of education: the role of information technology and pupil engagement,” International Journal of Educational Management, vol. 37, no. 3, pp. 558–574, May 2023, doi: 10.1108/IJEM-03-2022-0111.

B. Vito and H. Krisnani, “Kesenjangan Pendidikan Desa dan Kota,” Prosiding Penelitian dan Pengabdian kepada Masyarakat, vol. 2, no. 2, Oct. 2015, doi: 10.24198/jppm.v2i2.13533.

S. Hujaimah et al., “Faktor, Penyebab, dan Solusi Kesenjangan Sosial Dalam Pendidikan,” Jurnal Pendidikan Transformatif, vol. 2, no. 6, pp. 142–148, 2023.

K. Tamilmani, N. P. Rana, and Y. K. Dwivedi, “Consumer Acceptance and Use of Information Technology: A Meta-Analytic Evaluation of UTAUT2,” Information Systems Frontiers, vol. 23, no. 4, pp. 987–1005, 2021, doi: 10.1007/s10796-020-10007-6.

Y. K. Dwivedi, N. P. Rana, A. Jeyaraj, M. Clement, and M. D. Williams, “Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model,” Information Systems Frontiers, vol. 21, no. 3, pp. 719–734, 2019, doi: 10.1007/s10796-017-9774-y.

K. Tamilmani, N. P. Rana, S. F. Wamba, and R. Dwivedi, “The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation,” Int J Inf Manage, vol. 57, p. 102269, Apr. 2021, doi: 10.1016/j.ijinfomgt.2020.102269.

A. Aditya, Y. A. Kanthi, and S. Aminah, Metodologi Penelitian dalam Disiplin Ilmu Sistem Informasi. Yogyakarta: Penerbit Andi, 2022.

G. J. Sahertian, A. Aditya, and S. Aminah, “Analisis Penerimaan dan Penggunaan Transportasi Online di Kalangan Pelajar (Studi Kasus: SMA di Kecamatan Blimbing, Kota Malang),” Jurnal Tekno Kompak, vol. 15, no. 2, p. 1, Aug. 2021, doi: 10.33365/jtk.v15i2.1153.

Y. A. Kanthi and S. Aminah, “Evaluasi Faktor Keberhasilan dan Kepuasan Pengguna Sistem Informasi Pengaduan Online Kota Malang,” Jurnal Teknologi dan Manajemen Informatika, vol. 9, no. 2, pp. 129–140, Dec. 2023, doi: 10.26905/jtmi.v9i2.11036.

V. Venkatesh, J. Y. L. Thong, and X. Xu, “Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology,” MIS Quarterly, vol. 36, no. 1, pp. 157–178, 2012.

V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis, “User Acceptance of Information Technology: Toward a Unified View,” MIS Q, vol. 27, no. 3, pp. 425–478, 2003, doi: 10.2307/30036540.

G. Putra and M. Ariyanti, “Pengaruh Faktor-Faktor Dalam Modified Unified Theory of Acceptance and Use of Technology 2 (UTAUT 2) Terhadap Niat Prospective Users Untuk Mengadopsi Home Digital Services Pt. Telkom Di Surabaya,” Jurnal Manajemen Indonesia, vol. 14, no. 1, p. 59, 2017, doi: 10.25124/jmi.v14i1.352.

A. N. S. Fatihanisya and S. D. Purnamasari, “Penerapan Model Unified Theory Of Acceptence And Use Of Technology (UTAUT 2) Terhadap Perilaku Pelanggan E-Commerce Shopee Indonesia Di Kota Palembang,” Journal of Information Systems and Informatics, vol. 3, no. 2, pp. 392–417, 2021, doi: 10.33557/journalisi.v3i2.143.

A. B. Ramdhani, I. Rachmawati, and F. S. A. Prabowo, “Pengaruh Adopsi Teknologi Layanan Uang Elektronik Telkomsel Cash Menggunakan Pendekatan UTAUT 2,” eProceedings of Management, vol. 4, no. 1, pp. 53–61, 2017.

C. A. Haris, B. S. WA, and A. Nasiri, “Penerapan Model Utaut2 Untuk Mengevaluasi Aplikasi Ruang Guru,” Jurnal Teknologi Informasi, vol. 3, no. 2, p. 192, 2019, doi: 10.36294/jurti.v3i2.1085.

N. K. R. D. Putri and I. M. S. Suardikha, “Penerapan Model UTAUT 2 Untuk Menjelaskan Niat Dan Perilaku Penggunaan E-Money di Kota Denpasar,” e-Jurnal Akuntansi, vol. 30, no. 2, pp. 540–555, 2020.

N. A. Ainul Bashir, “Penerapan Model UTAUT 2 Untuk Mengetahui Faktor-Faktor Yang Memengaruhi Penggunaan SIORTU,” Elinvo (Electronics, Informatics, and Vocational Education), vol. 5, no. 1, pp. 42–51, 2020, doi: 10.21831/elinvo.v5i1.30636.

R. E. Sewandono, A. Thoyib, D. Hadiwidjojo, and A. Rofiq, “Performance expectancy of E-learning on higher institutions of education under uncertain conditions: Indonesia context,” Educ Inf Technol (Dordr), vol. 28, no. 4, pp. 4041–4068, Apr. 2023, doi: 10.1007/s10639-022-11074-9.

K. Ghalandari, “The Effect of Performance Expectancy, Effort Expectancy, Social Influence and Facilitating Conditions on Acceptance of E-Banking Services in Iran: the Moderating Role of Age and Gender,” Middle-East Journal of Scientific Research, vol. 12, no. 6, pp. 801–807, 2012, doi: 10.5829/idosi.mejsr.2012.12.6.2536.

S. Widiantoro and Marfuah, “Hedonic-Motivation System: Pengukuran Intensi Mahasiswa Dalam Penggunaan Learning Management System,” JURSIMA, vol. 7, no. 2, pp. 23–31, 2019, [Online]. Available: https://ejournal.stmikgici.ac.id/

B. P. Statistik, “Jumlah Sekolah, Murid, dan Guru Sekolah Menengah Atas (SMA) 2020-2022,” 2022. [Online]. Available: https://malangkota.bps.go.id/indicator/28/251/1/jumlah-sekolah-murid-dan-guru-sekolah-menengah-atas-sma-.html

B. P. Statistik, “Jumlah Sekolah, Murid, dan Guru Sekolah Menengah Pertama (SMP) di Kota Malang, 2011-2019.” [Online]. Available: https://malangkota.bps.go.id/dynamictable/2020/01/10/153/jumlah-sekolah-murid-dan-guru-sekolah-menengah-pertama-smp-di-kota-malang-2011-2019

B. P. Staatistik, “Jumlah Sekolah, Murid, dan Guru Sekolah Dasar (SD) di Kota Malang, 2011-2019,” 2020. [Online]. Available: https://malangkota.bps.go.id/dynamictable/2020/01/10/148/jumlah-sekolah-murid-dan-guru-sekolah-dasar-sd-di-kota-malang-2011-2019

V. Venkatesh and F. D. Davis, “Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies,” Manage Sci, vol. 46, no. 2, pp. 186–204, 2000, doi: 10.1287/mnsc.46.2.186.11926.

R. Ulfa, “Variabel penelitian dalam penelitian pendidikan,” Al-Fathonah: Jurnal Pendidikan dan Keislaman, vol. 1, no. 1, pp. 342–351, 2021.

Y. A. Kanthi, K. Gumilang, and S. Aminah, “Evaluasi Kepuasan Pengguna BRImo Menggunakan EUCS,” Teknika, vol. 13, no. 1, pp. 155–163, 2024, doi: 10.34148/teknika.v13i1.772.

E. L. Anggraini and I. Rachmawati, “Analysis Factors Influencing the Adoption of Mobile Payment Using the UTAUT2 Model (A Case Study of OVO in Indonesia),” International Journal of Scientific Research and Engineering Development, vol. 2, no. 3, pp. 168–175, 2019, [Online]. Available: www.ijsred.com

S. Nordhoff et al., “Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries,” Transp Res Part F Traffic Psychol Behav, vol. 74, pp. 280–297, 2020, doi: 10.1016/j.trf.2020.07.015.

M. Alhwaiti, “Acceptance of Artificial Intelligence Application in the Post-Covid Era and Its Impact on Faculty Members’ Occupational Well-being and Teaching Self Efficacy: A Path Analysis Using the UTAUT 2 Model,” Applied Artificial Intelligence, vol. 37, no. 1, 2023, doi: 10.1080/08839514.2023.2175110.

M. Farzin, M. Sadeghi, F. Yahyayi Kharkeshi, H. Ruholahpur, and M. Fattahi, “Extending UTAUT2 in M-banking adoption and actual use behavior: Does WOM communication matter?,” Asian Journal of Economics and Banking, vol. 5, no. 2, pp. 136–157, 2021, doi: 10.1108/ajeb-10-2020-0085.

Y. A. Kanthi and S. Aminah, “Evaluasi Faktor Keberhasilan dan Kepuasan Pengguna Sistem Informasi Pengaduan Online Kota Malang,” Jurnal Teknologi dan Manajemen Informatika, vol. 9, no. 2, pp. 129–140, 2023, doi: 10.26905/jtmi.v9i2.11036.

J. F. Hair, G. T. M. Hult, C. M. Ringle, M. Sarstedt, N. P. Danks, and S. Ray, Evaluation of Formative Measurement Models. 2021. doi: 10.1007/978-3-030-80519-7_5.

F. Schuberth, M. E. Rademaker, and J. Henseler, “Assessing the overall fit of composite models estimated by partial least squares path modeling,” Eur J Mark, vol. 57, no. 6, pp. 1678–1702, 2023, doi: 10.1108/EJM-08-2020-0586.

F. U. Rehman, B. M. Al-Ghazali, A. G. Haddad, E. A. Qahwash, and M. S. Sohail, “Exploring the Reverse Relationship between Circular Economy Innovation and Digital Sustainability—The Dual Mediation of Government Incentives,” Sustainability (Switzerland) , vol. 15, no. 6, 2023, doi: 10.3390/su15065181.

C. M. Ringle, S. Wende, and J.-Michael. Becker, “SmartPLS 4. Bönningstedt: SmartPLS.” [Online]. Available: https://www.smartpls.com/documentation/algorithms-and-techniques/model-fit

P. Utomo, F. Kurniasari, and P. Purnamaningsih, “The Effects of Performance Expectancy, Effort Expectancy, Facilitating Condition, and Habit on Behavior Intention in Using Mobile Healthcare Application,” International Journal of Community Service & Engagement, vol. 2, no. 4, pp. 183–197, 2021, doi: 10.47747/ijcse.v2i4.529.

S. M. M. Dagnoush and G. S. A. Khalifa, “the Effect of Users’ Effort Expectancy on Users’ Behavioral Intention To Use M-Commerce Applications: Case Study in Libya,” International Journal on Recent Trends in Business and Tourism, vol. 5, no. 4, pp. 1–7, 2021, doi: 10.31674/ijrtbt.2021.v05i04.001.

C. M. Chao, “Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model,” Front Psychol, vol. 10, no. JULY, pp. 1–14, 2019, doi: 10.3389/fpsyg.2019.01652.

R. Ambarwati, Y. D. Harja, And S. Thamrin, “The Role of Facilitating Conditions and User Habits: A Case of Indonesian Online Learning Platform,” Journal of Asian Finance, Economics and Business, vol. 7, no. 10, pp. 481–489, 2020, doi: 10.13106/jafeb.2020.vol7.no10.481.

S. Fitrianie, C. Horsch, R. J. Beun, F. Griffioen-Both, and W.-P. Brinkman, “Factors Affecting User’s Behavioral Intention and Use of a Mobile-Phone-Delivered Cognitive Behavioral Therapy for Insomnia: A Small-Scale UTAUT Analysis,” J Med Syst, vol. 45, no. 12, p. 110, 2021, doi: 10.1007/s10916-021-01785-w.

X. Deng and Z. Yu, “An extended hedonic motivation adoption model of TikTok in higher education,” Educ Inf Technol (Dordr), vol. 28, no. 10, pp. 13595–13617, 2023, doi: 10.1007/s10639-023-11749-x.

M. G. de B. Sebastián, J. R. S. Guede, and A. Antonovica, “Application and extension of the UTAUT2 model for determining behavioral intention factors in use of the artificial intelligence virtual assistants,” Front. Psychol., pp. 1–18, 2022, doi: 10.3389/fpsyg.2022.993935.

K. Tamilmani, N. P. Rana, Y. K. Dwivedi, G. P. Sahu, and S. Roderick, “Exploring the role of ‘price value’ for understanding consumer adoption of technology: A review and meta-analysis of UTAUT2 based empirical studies,” Proceedings of the 22nd Pacific Asia Conference on Information Systems - Opportunities and Challenges for the Digitized Society: Are We Ready?, PACIS 2018, 2018.

W. Xu, Z. Y. Shen, S. J. Lin, and J. C. Chen, “Improving the Behavioral Intention of Continuous Online Learning Among Learners in Higher Education During COVID-19,” Front Psychol, vol. 13, no. April, pp. 1–10, 2022, doi: 10.3389/fpsyg.2022.857709.

K. Anugrah, J. Partogi, P. Pasaribu, and C. D. Astuti, “Implementation of the UTAUT2 Model with Gamification and Its Influence on Behavioral Intentions and Behavior of Use of M-Banking,” Budapest International Research and Critics Institute-Journal (BIRCI-Journal), vol. 5, no. 3, pp. 25551–25562, 2022, [Online]. Available: https://doi.org/10.33258/birci.v5i3.6602

T. M. Wut, S. W. Lee, and J. Xu, “How do Facilitating Conditions Influence Student-to-Student Interaction within an Online Learning Platform? A New Typology of the Serial Mediation Model,” Educ Sci (Basel), vol. 12, no. 5, 2022, doi: 10.3390/educsci12050337.

M. A. Camilleri and A. C. Camilleri, “Learning from anywhere, anytime: Utilitarian motivations and facilitating conditions for mobile learning,” Technology, Knowledge and Learning, vol. 28, no. 4, pp. 1687–1705, 2023, doi: 10.1007/s10758-022-09608-8.

G. Zacharis and K. Nikolopoulou, “Factors predicting University students’ behavioral intention to use eLearning platforms in the post-pandemic normal: an UTAUT2 approach with ‘Learning Value,’” Educ Inf Technol (Dordr), vol. 27, no. 9, pp. 12065–12082, 2022, doi: 10.1007/s10639-022-11116-2.

L. Chang, Y. Wang, J. Liu, Y. Feng, and X. Zhang, “Study on factors influencing college students’ digital academic reading behavior,” Front Psychol, vol. 13, no. January, pp. 1–13, 2023, doi: 10.3389/fpsyg.2022.1007247.

L. H. Wong, C.-K. Looi, and B. H. Zhang, “Habit and its impact on behavioral intention and technology adoption in education,” International Journal of Educational Technology, vol. 45, no. 3, pp. 456–470, 2019, doi: 10.1016/j.ijinfomgt.2022.102553.

F. Zahra et al., “User Behaviour Intention Using Utaut2 Model: a Systematic Literature Review,” Russ J Agric Socioecon Sci, vol. 92, no. 8, pp. 265–273, 2019, doi: 10.18551/rjoas.2019-08.29.

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Published

2024-10-14

How to Cite

The Role of UTAUT2 in Understanding Technology Adoption: A Study of the Merdeka Mengajar Platform Among Indonesian Teachers. (2024). Teknika, 13(3), 460-470. https://doi.org/10.34148/teknika.v13i3.1082