Cloud Computing Adoption Using TOE Framework for Indonesia’s Micro Small Medium Enterprises
DOI: http://dx.doi.org/10.30630/joiv.4.4.458
Abstract
Cloud computing is one of the pillars of the Industrial Revolution 4.0. Cloud computing provides ample benefits to companies such as mobility, ease of access, and enable collaboration. Nevertheless, the impact of cloud computing on the micro, small and medium enterprises (MSMEs) is not well established. This research aims to classify the factors affecting the acceptance of cloud computing in Indonesian MSMEs. A total of 135 participants participated in this analysis. The TOE Structure is used in this analysis. Methods of data collection using Google form. The details have been analysed with SPSS and SmartPLS. The findings demonstrated that top management encouragement and relative advantages have a positive impact on the adoption of cloud computing in MSMEs in Indonesia. In order to increase the adoption of cloud-based computing in Indonesia, cloud-based businesses need to concentrate on these two reasons so that MSMEs in Indonesia can embrace more cloud computing. Furthermore, the improvement of cloud computing adoption should come from government policy and incentives. Theoretically, this research helps to establish the TOE framework by providing empirical evidence. This research also explains that the TOE framework can help companies to understand critical domains that impact their businesses and which domain companies should focus.
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Gangwar, H. Date, H. & Ramaswamy, R. (2015). Understanding determinants of cloud computing adoption using an integrated TAM-TOE model, Journal of Enterprise Information Management, Vol. 28, No. 1, 107-130.
Fernando, Y., Jasmi, M. F. A., & Shaharudin, M. S. (2019). Maritime green supply chain management: Its light and shadow on the bottom line dimensions of sustainable business performance. International Journal of Shipping and Transport Logistics, 11(1), 60–93. https://doi.org/10.1504/IJSTL.2019.096872
Shaharudin, M. S., Fernando, Y., Chiappetta Jabbour, C. J., Sroufe, R., & Jasmi, M. F. A. (2019). Past, present, and future low carbon supply chain management: A content review using social network analysis. Journal of Cleaner Production, 218, 629–643. https://doi.org/10.1016/j.jclepro.2019.02.016
Al-Jabri, I.M., Alabdulhadi, M. H. (2016). Factors affecting cloud computing adoption: perspectives of IT professionals. International Journal of Business Information Systems, Vol 23, No. 4, pp. 389-405
Montes, D., Añel, J. A., Wallom, D. C., Uhe, P., & Pena, T. F. (2020). Cloud Computing for Climate Modelling: Evaluation, Challenges and Benefits. Computers, 9(2), 52.
Margherita, E. G., & Braccini, A. M. (2020). IS in the Cloud and Organizational Benefits: An Exploratory Study. In Exploring Digital Ecosystems (pp. 417-428). Springer, Cham.
Shanmugan, M., Shabir Shaharudin, M., Ganesan, Y., & Fernando, Y. (2019). Manufacturing Outsourcing to Achieve Organizational Performance through Manufacturing Integrity Capabilities. KnE Social Sciences, 2019, 858–871.
https://doi.org/10.18502/kss.v3i22.5092
Shaharudin, M. S., & Fernando, Y. Environmental Friendliness in Low Carbon Supply Chain and Operations. In Encyclopedia of Organizational Knowledge, Administration, and Technology (pp. 2421-2430). IGI Global.
Albelaihi, A., & Khan, N. (2020). Top Benefits and Hindrances to Cloud Computing Adoption in Saudi Arabia: A Brief Study. Journal of Information Technology Management, 12(2), 107-122.
PwC. (2015, March 30). PwC: Perkembangan Cloud Computing di Indonesia lamban. Diakses 8 April 2020 dari https://www.pwc.com/id/en/media-centre/pwc-in-news/2015/indonesian/pwc-perkembangan-cloud-computing-di-indonesia-lamban.html
Peña-VillasenÃn, S., Gil-Docampo, M., & Ortiz-Sanz, J. (2020). Desktop vs cloud computing software for 3D measurement of building façades: The monastery of San MartÃn Pinario. Measurement, 149, 106984.
Alismaili, S., Li, M., & He, Q. 2015. A multi perspective approach for understanding the determinants of cloud computing adoption among Australian SMEs. Proceedings of the Australasian Conference on Information Systems.
Omar, A., Jacques, O., & Gwamaka, M. (2015). Cloud computing adoption for business development: A TOE perspective. Proceedings of the 9th IDIA conference, 463-476.
U.S. Department of Commerce for International Trade Administration Industry & Analysis. (2016). Top Markets Report Cloud Computing: A Market Assessment Tool for U.S. Exporters.
Soltanisehat, L., Alizadeh, R., Hao, H., & Choo, K. K. R. (2020). Technical, Temporal, and Spatial Research Challenges and Opportunities in Blockchain-Based Healthcare: A Systematic Literature Review. IEEE Transactions on Engineering Management.
Chauhan, S., & Jaiswal, M. (2015). Exploring factors affecting service quality of ERP on cloud: a revelatory case study. International Journal of Business Information Systems, Vol. 19, No. 1, 87-102.
Fernando, Y., Wah, W. X., & Shaharudin, M. S. (2016). Does a firm’s innovation category matter in practising eco-innovation? Evidence from the lens of Malaysia companies practicing green technology. Journal of Manufacturing Technology Management, 27(2), 208–233. https://doi.org/http://dx.doi.org/10.1108/JMTM-02-2015-0008
Stearns, E., Bottia, M. C., Giersch, J., Mickelson, R. A., Moller, S., Jha, N., & Dancy, M. (2020). Do Relative Advantages in STEM Grades Explain the Gender Gap in Selection of a STEM Major in College? A Multimethod Answer. American Educational Research Journal, 57(1), 218-257.
Sunyaev, A. (2020). Cloud Computing. In Internet Computing (pp. 195-236). Springer, Cham.
Sallehudin, H., Aman, A. H. M., Razak, R. C., Ismail, M., Bakar, N. A. A., Fadzil, A. F. M., & Baker, R. (2020). Performance and Key Factors of Cloud Computing Implementation in the Public Sector. International Journal of Business and Society, 21(1), 134-152.
Wang, Z., Wang, N., Su, X., & Ge, S. (2020). An empirical study on business analytics affordances enhancing the management of cloud computing data security. International Journal of Information Management, 50, 387-394.
Körner, N. (2020). Institutionalized Cloud Clients.
Golpîra, H. (2020). Optimal integration of the facility location problem into the multi-project multi-supplier multi-resource Construction Supply Chain network design under the vendor managed inventory strategy. Expert Systems with Applications, 139, 112841.
Ahmed, E. R., Alabdullah, T. T. Y., Shaharudin, M. S., & Putri, E. (2020). Further Evidence on the Link between Firm’s Control Mechanisms and Firm Financial Performance: Sultanate of Oman. Journal of Governance and Integrity, 4(1), 1-6.
Jakobsen, M. D., Clausen, T., & Andersen, L. L. (2020). Can a participatory organizational intervention improve social capital and organizational readiness to change? Cluster randomized controlled trial at five Danish hospitals. Journal of Advanced Nursing, 76(10), 2685-2695.
Yang, R., Tang, W., & Zhang, J. (2020). Technology improvement strategy for green products under competition: The role of government subsidy. European Journal of Operational Research.
Nurjannah, N. (2020). Effects of environmental characteristics and business partner relationships on improving innovation performance through the mediation of knowledge management practices. VINE Journal of Information and Knowledge Management Systems.
Hair, J., Ringle, C., & Sarstedt, M. (2017). Partial Least Squares Structural Equation Modeling.
Oliveria, T., Thomas, M., & Espadanal, M. (2014). Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sector. Information & Management 51, 497-510.
Hsu, C., Lin, J.C. Factors affecting the adoption of cloud services in enterprises. Inf Syst E-Bus Manage 14, 791–822
Low, C., Chen, Y., & Wu, M. (2011). Understanding the determinants of cloud computing adoption. Industrial Management and Data Systems.