Understanding Antecedents to the Satisfaction of Using Learning Management System: an Empirical Study of Accounting Students

Selfira Salsabilla, Chivalrind Ghanevi Ayuntari

Abstract


ABSTRACT

This research was aimed to identify the factors affecting the Accounting students' satisfaction of using Google Classroom as one of the Learning Management System (LMS). This research analyzed the effect of perceived enjoyment, perceived ease of use, and perceived usefulness on the students' satisfaction. The sample in this research was 108 Accounting students. The data were analyzed using PLS-SEM with SmartPLS 2.0. The research results showed that the level of satisfaction of the Google Classroom was affected positively and significantly by the perceived enjoyment, perceived ease of use, and perceived usefulness. Moreover, this research also discussed the impacts of the results both theoretically and practically.

ABSTRAK

Penelitian ini bertujuan untuk mengidentifikasi faktor-faktor yang mempengaruhi kepuasan mahasiswa akuntansi dalam menggunakan google classroom yang merupakan salah satu learning management system (LMS). Penelitian ini menganalisis pengaruh perceived enjoyment, perceived ease of use, perceived usefulness terhadap kepuasan. Penelitian ini menggunakan sampel 108 responden mahasiswa akuntansi. Data dianalisis menggunakan PLS-SEM dengan software SmartPLS 2.0. Hasil penelitian menunjukkan bahwa tingkat kepuasan terhadap google classroom dipengaruhi secara positif signifikan oleh perceived enjoyment, perceived ease of use, dan perceived usefulness. Penelitian ini juga mendiskusikan dampak hasil penelitian dalam ranah teoritis dan praktis.


Keywords


Perceived ease of use; Perceived enjoyment; Perceived usefulness; Satisfaction; Persepsi Kemudahan; Persepsi Kesenangan; Persepsi Kegunaan; Kepuasan

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References


Azian, N., Rahman, A., Hussein, N., Rusdi, S. D., & Esa, M. M. (2017). Examining the Factors that Influence Blended Learning Satisfaction Among Tertiary Students in a Public University in Malaysia. World Applied Sciences Journal, 35(4), 580–584. https://doi.org/10.5829/idosi.wasj.2017.580.584

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ.

Basioudis, I. G., Lange, P. de, Suwardy, T., & Wells, P. (2012). Accounting students’ perceptions of a Learning Management System: An international comparison. Accounting Research Journal, 25(2), 72–86. https://doi.org/http://dx.doi.org/10.1108/MRR-09-2015-0216

Cheng, M., & Yuen, A. H. K. (2018). Student continuance of learning management system use: A longitudinal exploration. Computers and Education, 120(June), 241–253. https://doi.org/10.1016/j.compedu.2018.02.004

Chiu, W., Cho, H., & Chi, C. G. (2020). Consumers’ continuance intention to use fitness and health apps: an integration of the expectation–confirmation model and investment model. Information Technology and People. https://doi.org/10.1108/ITP-09-2019-0463

Cho, J. (2016). The impact of post-adoption beliefs on the continued use of health apps. International Journal of Medical Informatics, 87, 75–83. https://doi.org/10.1016/j.ijmedinf.2015.12.016

Cigdem, H., & Topcu, A. (2015). Predictors of instructors’ behavioral intention to use learning management system: A Turkish vocational college example. Computer in Human Behavior, 52, 22–28. https://doi.org/10.1016/j.chb.2015.05.049

Compeau, D. R., & Higgins, C. A. (1995). Computer Self-Efficacy: Development of a Measure and Initial Test. MIS Quarterly, 19(2), 189–211.

Coşkunçay, D. F., Alkış, N., & Yıldırım, S. Ö.-. (2018). International Forum of Educational Technology & Society A Structural Equation Model for ICT Usage in Higher Education Published by : International Forum of Educational Technology & Society Linked references are available on JSTOR for this article : A Stru. Educational Technology & Society, 21(2), 13–27.

Dash, S. (2019). Google Classroom as a Learning Management System to Teach Biochemistry in a Medical School. Biochemistry and Molecular Biology Education, 1–4. https://doi.org/10.1002/bmb.21246

Davis, F. D. (1989). Perceived Usefulness, Perceived East of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.1016/S0305-0483(98)00028-0

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x

Dumpit, D. Z., & Fernandez, C. J. (2017). Analysis of the use of social media in Higher Education Institutions (HEIs) using the Technology Acceptance Model. International Journal of Educational Technology in Higher Education, 14(1). https://doi.org/10.1186/s41239-017-0045-2

Hassan, H. E., & Wood, V. R. (2020). Does country culture influence consumers’ perceptions toward mobile banking? A comparison between Egypt and the United States. Telematics and Informatics, 46, 1–13. https://doi.org/10.1016/j.tele.2019.101312

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling ( PLS-SEM ) (Second Edition). Los Angeles: Sage Publications.

Hayashi, A., Chen, C., Ryan, T., & Wu, J. (2004). The Role of Social Presence and Moderating Role of Computer Self Efficacy in Predicting the Continuance Usage of E-Learning Systems. Journal of Information Systems Education, 15(2), 5.

Hidayat, M. W. (2018). E-Learning Makin Menarik Perhatian di 2018. Retrieved from https://www.liputan6.com/tekno/read/3226423/e-learning-makin-menarik-perhatian-di-2018

Hossain, S. F. A., Nurunnabi, M., Hussain, K., & Saha, S. K. (2019). Effects of variety-seeking intention by mobile phone usage on university students’ academic performance. Information and Communications Technology in Education, 6(1), 1–18. https://doi.org/10.1080/2331186X.2019.1574692

Hu, J., & Zhang, Y. (2016). Understanding Chinese Undergraduates ’ Continuance Intention to Use Mobile Book-Reading Apps : An Integrated Model and Empirical Study. International Journal of Libraries and Information Studies, 66(2), 1–15. https://doi.org/10.1515/libri-2015-0090

Huang, F., Teo, T., & Scherer, R. (2020). Investigating the antecedents of university students’ perceived ease of using the Internet for learning. Interactive Learning Environments, 28(1), 1–17. https://doi.org/10.1080/10494820.2019.1710540

Humbani, M., & Wiese, M. (2019). An integrated framework for the adoption and continuance intention to use mobile payment apps. International Journal of Bank Marketing, 37(2), 646–664. https://doi.org/10.1108/IJBM-03-2018-0072

Jakkaew, P. (2017). The Use of UTAUT2 Model for Understanding Student Perceptions Using Google Classroom : A Case Study of Introduction to Information Technology Course. In International Conference on Digital Arts, Media and Technology (ICDAMT). Chiang Mai, Thailand: IEEE. Retrieved from https://ieeexplore.ieee.org/document/7904962

Joo, Y. J., Park, S., & Shin, E. K. (2017). Students’ expectation, satisfaction, and continuance intention to use digital textbooks. Computers in Human Behavior, 69, 83–90. https://doi.org/10.1016/j.chb.2016.12.025

Jordan, M. M., & Duckett, N. D. (2018). Universities Confront ‘Tech Disruption’: Perceptions of Student Engagement Online Using Two Learning Management Systems. The Journal of Public and Professional Sociology, 10(1), 1–25.

Kabbiri, R., Dora, M., Kumar, V., Elepu, G., & Gellynck, X. (2018). Mobile phone adoption in agri-food sector: Are farmers in Sub-Saharan Africa connected? Technological Forecasting and Social Change, 131(December 2016), 253–261. https://doi.org/10.1016/j.techfore.2017.12.010

Kholid, M. N., Urumsah, D., & Hamdani, R. (2018). Expectation Confirmation Model in the Transportation Order Applications: Gender Differences. In 31st IBIMA Conference. Milan Italy. Retrieved from https://ibima.org/accepted-paper/expectation-confirmation-model-in-the-transportation-order-applications-gender-differences/

Kumar, J. A., & Bervell, B. (2019). Google Classroom for mobile learning in higher education : Modelling the initial perceptions of students. Education and Information Technologies, 24(2), 1793–1817.

Kumar, R. R., Israel, D., & Malik, G. (2018). Explaining customer’s continuance intention to use mobile banking apps with an integrative perspective of ECT and Self-determination theory. Pacific Asia Journal of the Association for Information Systems, 10(2), 79–112. https://doi.org/10.17705/1pais.10204

Lonn, S., & Teasley, S. D. (2009). Saving time or innovating practice: Investigating perceptions and uses of Learning Management Systems. Computers and Education, 53(3), 686–694. https://doi.org/10.1016/j.compedu.2009.04.008

Malikowski, S. R., Thompson, M. E., & Theis, J. G. (2007). A Model for Research into Course Management Systems : Bridging Technology and Learning Theory. Journal Educational Computing Research, 36(2), 149–173.

Marinkovic, V., & Kalinic, Z. (2017). Antecedents of customer satisfaction in mobile commerce of customization. Online Information Review, 41(2), 138–154. https://doi.org/10.1108/OIR-11-2015-0364

Natarajan, T., Balasubramanian, S. A., & Kasilingam, D. L. (2017). Understanding the intention to use mobile shopping applications and its in fl uence on price sensitivity. Journal of Retailing and Consumer Services, 37, 8–22. https://doi.org/10.1016/j.jretconser.2017.02.010

Pal, D., Funilkul, S., & Vanijja, V. (2018). The future of smartwatches: assessing the end-users’ continuous usage using an extended expectation-confirmation model. Universal Access in the Information Society, 19(2), 261–281. https://doi.org/10.1007/s10209-018-0639-z

Park, E. (2020). User acceptance of smart wearable devices: An expectation- confirmation model approach. Telematics and Informatics Journal, 47, 1–11. https://doi.org/10.1016/j.tele.2019.101318

Roca, J. C., Chiu, C. M., & Martínez, F. J. (2006). Understanding e-learning continuance intention: An extension of the Technology Acceptance Model. International Journal of Human Computer Studies, 64(8), 683–696. https://doi.org/10.1016/j.ijhcs.2006.01.003

Sezer, B., & Yilmaz, R. (2019). Learning management system acceptance scale (LMSAS): A validity and reliability study. Australasian Journal of Educational Technology, 35(3), 15–30.

Teddie, C., & Yu, F. (2007). Mixed Methods Sampling: A Typology With Examples. Journal of Mixed Methods Research, 1(1), 77–100. https://doi.org/10.1177/2345678906292430

Teo, T., Ursavaş, O. F., & Bahçekapili, E. (2012). An assessment of pre-service teachers’ technology acceptance in Turkey: A structural equation modeling approach. Asia-Pacific Education Researcher, 21 (July 2016), 191–202. 84858763296&partnerID=40&md5=ef3aac58ae408c5dcc82c482d62e6f92

Thong, J. Y. L., Hong, S. J., & Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human Computer Studies, 64(9), 799–810. https://doi.org/10.1016/j.ijhcs.2006.05.001

Torres, R., & Gerhart, N. (2017). Mobile Proximity Usage Behaviors Based on User Characteristics. Journal of Computer Information Systems, 59(2), 1–10. https://doi.org/10.1080/08874417.2017.1320954

Vaezi, R., Mills, A., Chin, W., & Zafar, H. (2016). User Satisfaction Research in Information Systems : Historical Roots and Approaches. Communications of the Association for Information Systems, 38(27), 501–532.

Venkatesh, V., & Speier, C. (2000). Creating an effective training environment for enhancing telework. Journal Human Computer Studies, 52, 991–1005. https://doi.org/10.1006/ijhc.1999.0367

Yalcin, M. E., & Kutlu, B. (2019). Examination of students’ acceptance of and intention to use learning management systems using extended TAM. British Journal of Educational Technology, 0(0), 1–19. https://doi.org/10.1111/bjet.12798

Youn, S. yi, & Lee, K. H. (2019). Proposing value-based technology acceptance model: testing on paid mobile media service. Fashion and Textiles, 6(1). https://doi.org/10.1186/s40691-018-0163-z


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DOI: http://doi.org/10.25273/jap.v9i2.4927

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