Pengaruh Manfaat, Kemudahan Penggunaan, Privasi Dan Peningkatan Kinerja Seseorang Terhadap Pengadopsian Cloud Computing Pada UMKM

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Paulina Rante
Elsa Imelda

Abstract

This study was conducted to determine whether the factors of benefits, ease of use, privacy, and improving one's performance can significantly influence the adoption of cloud computing among MSME players. The population of this study were MSME players in the Jakarta, Bogor, Depok, Tangerang and Bekasi areas in 2024. The sample selection was carried out using a non-probability sampling technique, namely convenience sampling with the snowball method. This research is quantitative research conducted by distributing questionnaires to 110 respondents as entrepreneurs or workers of Jabodetabek MSMEs. Based on the results of this study, it can be found that the perceived ease-of-use factor has a significant influence on the adoption of clous computing among MSME players. However, the perceived usefulness, privacy, and performance expectancy factors do not have a significant influence on the adoption of cloud computing among Jabodetabek MSMEs. The results of this study are expected to provide knowledge regarding what factors influence the adoption of cloud computing to increase attention, especially for MSME.

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How to Cite
Rante, P., & Elsa Imelda. (2024). Pengaruh Manfaat, Kemudahan Penggunaan, Privasi Dan Peningkatan Kinerja Seseorang Terhadap Pengadopsian Cloud Computing Pada UMKM. EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi, 4(1), 896–908. https://doi.org/10.56799/ekoma.v4i1.5332
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References

Al-Mutawa, B., & Al-Mubarak, M. M. S. (2023). Impact of cloud computing as a digital technology on SMEs sustainability. International Business Journal, 34(1).

Al-Okaily, M., Alkhwaldi, A. F., Abdulmuhsin, A. A., Alqudah, H., & Al-Okaily, A. (2023). Cloud-based accounting information systems usage and its impact on Jordanian SMEs’ performance: the post- COVID-19 perspective. Journal of Financial Reporting and Accounting, 21(1).

AWS. (2023). Komputasi cloud dengan AWS. Amazon Web Services.

David, F. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information System: Theory and Results. Massachusetts Institute of Technology.

Gui, A., Fernando, Y., Shaharudin, M. S., Mokhtar, M., Karmawan, I. G. M., & Suryanto. (2020). Cloud Computing Adoption Using TOE Framework for Indonesia Micro Small Medium Enterprises. International Journal on Informaics Visualization, 4(4).

Hair, J. F., Risher, J., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). SAGE Publications.

Khayer, A., Jahan, N., Hossain, M. N., & Hossain, M. Y. (2021). The Adoption of Cloud Computing in Small and Medium Enterprises: A Developing Country Perspective. VINE Journal of Information and Knowledge Management Systems, 51(1).

Khayer, A., Talukder, M. S., Bao, Y., & Hossain, M. N. (2020). Cloud computing adoption and its impact on SMEs’ performance for cloud supported operations: A dual-stage analytical approach. Technology in Society, 60.

Moudud-Ul-Huq, S., Asaduzzaman, M., & Biswas, T. (2020). Role of cloud computing in global accounting information systems. Emerald Insight, 33(3).

Narwane, V. S., Raut, R. D., Gardas, B. B., Kavre, M. S., & Narkhede, B. E. (2019). Factors affecting the adoption of cloud of things. Journal of Systems and Information Technology, 21(4).

Pankowska, M., Pyszny, K., & Strzelecki, A. (2020). Users’ Adoption of Sustainable Cloud Computing Solutions. Sustainability, 11, 9930. https://doi.org/10.3390/su12239930

Purwanto, E., & Budiman, V. (2020). Applying the Technology Acceptance Model to Investigate the Intention to Use E-health: A Conceptual Framework. Technology Reports of Kansai University, 65(5).

Russ, W. (2021). The Relationship between Technology Adoption Determinants and the Intention to Use Software-Defined Networking. Walden University.

Shetty, J. P., & Panda, R. (2022). Cloud adoption in Indian SMEs – an empirical analysis. Benchmarking: An International Journal, 30(4).

Singh, R. P., Haleem, A., Javaid, M., Kataria, R., & Singhal, S. (2021). Cloud computing in solving problems of COVID-19 pandemic. Journal of Industrial Integration and Management, 6(2), 209–219.

Sugiyono. (2019). Metode Penelitian Kuantitatif dan Kualitatif dan R&D. Alfabeta.

Tarhini, A., Masa¡¯deh, R., Al-Badi, A., Almajali, M., & Alrabayaah, S. H. (2017). Factors Influencing Employees Intention to Use Cloud Computing. Journal of Management and Strategy, 8(2), 47–62.

Utomo, P., Kurniasari, F., & Purnamaningsih. (2021). 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, 2(4).

Wang, Z., Wang, N., Su, X., & Ge, S. (2020). An Empirical Study on Business Analytics Affordances Enhancing The Management of Applications. International Journal of Information Management, 50, 387–394.