FAKTOR-FAKTOR PENENTU YANG MEMPENGARUHI ADOPSI CLOUD COMPUTING DI INDONESIA

Sharen Setiawan(1), Anderes Gui(2*),

(1) School of Information Systems, Bina Nusantara University
(2) School of Information Systems, Bina Nusantara University
(*) Corresponding Author

Abstract


Today's technology is getting more and more advanced. Cloud Computing is one of the fastest growing technologies in Indonesia. Cloud Computing technology has developed in various business sectors from manufacturing companies to services. The purpose of making this paper is to answer the determining factors that have an impact on the company's decision to adopt Cloud Computing in Indonesia, using 2 approaches to the technology adoption literature. The survey conducted is a modification of the previous research which was distributed via google form, where the prospective respondents are those who work in companies in Indonesia from 12 September 2022 to 2 October 2022. There are 66 respondents who participated in this survey. The analysis uses SMART PLS3 software, which tests Conbarch Alpha, Outer Loading, Coefficient Path, Composite Reliability, Discriminant Validity. The results of this study show that compatibility, and complexity have a significant impact on perceived usefulness, top management support has a significant impact on perceived ease of use, and perceived ease of use has an impact on cloud computing adoption.


Keywords


Cloud Computing, Company, SMART PLS3.

Full Text:

PDF

References


ACCI. (2019). Mengenal Layanan Cloud Computing. Cloudcomputing.Id.

Al-Hujran, O., Al-Lozi, E. M., Al-Debei, M. M., & Maqableh, M. (2018). Challenges of cloud computing adoption from the TOE framework perspective. International Journal of E-Business Research, 14(3), 77–94. https://doi.org/10.4018/IJEBR.2018070105

Alismaili, S., Li, M., & Shen, J. (2016). Cloud computing adoption decision modelling for SMEs: From the PAPRIKA perspective. Lecture Notes in Electrical Engineering, 375, 597–615. https://doi.org/10.1007/978-981-10-0539-8_59

Chemjor, E. M. (2017). Effect Of User Perception On The Relationship Between Technology Context And Adoption Of Cloud Computing : Evidence From Smes In Nairobi County , Kenya. V(11), 10–28.

Espadanal, M. (2012). Cloud Computing Adoption by firms. Proceedings of Mediterranean Conference on Information Systems (MCIS).

Gamage, T. C. (2019). Determinants of Cloud Computing Adoption among SMEs in Sri Lanka: A Meta Theoretical Framework. International Journal of Asian Social Science, 9(2), 189–203. https://doi.org/10.18488/journal.1.2019.92.189.203

Gangwar, H., Date, H., & Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model. Journal of Enterprise Information Management, 28(1), 107–130. https://doi.org/10.1108/JEIM-08-2013-0065

Gholami, Z., Abdekhoda, M., & Gavgani, V. Z. (2018). Determinant factors in adopting mobile technology-based services by academic librarians. DESIDOC Journal of Library and Information Technology, 38(4), 271–277. https://doi.org/10.14429/djlit.38.4.12676

Giap, Y. C., Riki, & Kumaedi, D. (2020). Cloud Computing Teori dan Implementasi. Yayasan Kita Menulis.

Gutierrez, A., & Boukrami, E. (2015). Technological , organisational and environmental factors influencing managers ’ decision to adopt cloud computing in the UK Journal of Enterprise Information Management Article information : October. https://doi.org/10.1108/JEIM-01-2015-0001

Hamid, M. R. A., Sami, W., & Sidek, M. (2017). Discriminant Validity Assessment : Use of Fornell & Larcker criterion versus HTMT Criterion Discriminant Validity Assessment : Use of Fornell & Larcker criterion versus HTMT Criterion. Journal of Physics: Conference Series PAPER, 890(1), 1–6.

Khanda, M. (2018). SME Cloud Adoption in Botswana : Its Challenges and Successes. International Journal of Advanced Computer Science and Applications, 9(1), 468–478.

Mohamed, A., & Anter, N. (2018). Examining the effect of TOE model on cloud computing adoption in Egypt. The Business and Management Review, 9(4), 9–10.

Pathan, Z. H., Akram, U., Latif, Z., & Khan, M. K. (2017). Essential factors in cloud-computing adoption by SMEs. Human Systems Management, 36(July 2018), 261–275. https://doi.org/10.3233/HSM-17133

Pinheiro, P., Aparicio, M., & Costa, C. (2014). Adoption of cloud computing systems. ACM International Conference Proceeding Series, April 2014, 127–131. https://doi.org/10.1145/2618168.2618188

Qin, X., Shi, Y., Lyu, K., & Mo, Y. (2020). Using a tam-toe model to explore factors of building information modelling (Bim) adoption in the construction industry. Journal of Civil Engineering and Management, 26(3), 259–277. https://doi.org/10.3846/jcem.2020.12176

Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6–30. https://doi.org/10.1108/JEIM-04-2012-0011

Sahandi, R., Alkhalil, A., & Opara-martins, J. (2013). Cloud Computing from SMEs Perspective : A Survey-based Investigation Journal of Information Technology Management A Publication of the Association of Management CLOUD COMPUTING FROM SMES PERSPECTIVE : A SURVEY- BASED INVESTIGATION. Journal of Information Technology Management, 1(February 2015).

Senarathna, I., Wilkin, C., Warren, M., Yeoh, W., & Salzman, S. (2018). Factors that influence adoption of cloud computing: An empirical study of Australian SMEs. Australasian Journal of Information Systems, 22. https://doi.org/10.3127/ajis.v22i0.1603

Shaar, E. M. A. L., Khattab, S. A., Alkaied, R. N., & Manna, A. Q. (2015). The Effect of Top Management Support on Innovation: the Mediating Role of Synergy Between Organizational Structure and Information Technology. International Review of Management and Business Research, 4(2), 499–513.

Sharen Setiawan, A. G. (2023). Faktor-Faktor Penentu Yang Mempengaruhi Adopsi Cloud Computing Di Indonesia.

Wang, X., French, B. F., & Clay, P. F. (2015). Convergent and discriminant validity with formative measurement: A mediator perspective. Journal of Modern Applied Statistical Methods, 14(1), 83–106. https://doi.org/10.22237/jmasm/ 1430453400




DOI: https://doi.org/10.37365/jti.v9i1.144

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.