References: [1] Widyastuti, D., Irwansyah, M. (2018) Benefits And Challenges Of Cloud Computing Technology Adoption In Small And Medium Enterprises (SMEs) Proc. 4th BCM 2017, 41, 241–246 https://doi.org/10.2991/bcm-17.2018.46 [2] Attaran, M., Woods, J. (2018) Cloud computing technology: improving small business performance using the Internet Journal of Small Business and Entrepreneurship, 6331 https://doi.org/10.1080/08276331.2018.1466850 [3] Carcary, M., Doherty, E., Conway, G. (2014) The Adoption of Cloud Computing by Irish SMEs – an Exploratory Study Eletronic Journal Information Systems Evaluation, 17 (1), 3–15 [4] Power, D. J., Sharda, R. (2007) Model-driven decision support systems: Concepts and research directions. Decision Support Systems, 43 (3), 1044–1061 https://doi.org/10.1016/j.dss.2005.05.030 [5] Salleh, N. A., Hussin, H., Suhaimi, M. A., Md Ali, A. (2018). A systematic literature review of cloud computing adoption and impacts among small medium enterprises (SMEs) Proc. ICT4M 2018, 278–284 https://doi.org/10.1109/ ICT4M.2018.00058 [6] Mell, P., Grance, T. (2011). Definition of Cloud Computing Recommendations of the National Institute of Standards and Technology NIST, Information Technology Laboratory, 145, 7 https://doi.org/10.1136/emj.2010.096966 [7] Liu, M., Pan, L., Liu, S. (2019) To Transfer or Not: An Online Cost Optimization Algorithm for Using Two-Tier Storageas- a-Service Clouds IEEE Access, 7, 94263–94275 https://doi.org/10.1109/ACCESS.2019.2928844. [8] Chang, V. (2014) The Business Intelligence as a Service in the Cloud Future Generation Computer Systems, 37, 512– 534 https://doi.org/https://doi.org/10.1016/j.future.2013.12.028 [9] Dahunsi, F., Idogun, J., Olawumi, A. (2021) Commercial Cloud Services for a Robust Mobile Application Backend Data Storage Indonesian Journal of Computing, Engineering and Design, 3 (1), 31–45 https://doi.org/10.35806/ijoced.v3i1.139 [10] Shim, J. P., Warkentin, M., Courtney, J. F., Power, D. J., Sharda, R., & Carlsson, C. (2002) Past, present, and future of decision support technology Decision Support Systems, 33 (2), 111–126 https://doi.org/10.1016/S0167-9236(01)00139-7 [11] Asemi, A., Safari, A., Asemi Zavareh, A. (2011) The Role of Management Information System (MIS) and Decision Support System (DSS) for Manager’s Decision Making Process International Journal of Business and Management, 6 (7), 164–173 https://doi.org/10.5539/ijbm.v6n7p164 [12] Arnott, D., Lizama, F., Song, Y. (2017) Patterns of business intelligence systems use in organizations Decision Support Systems, 97, 58–68 https://doi.org/10.1016/j.dss.2017.03.005 [13] Gudfinnsson, K., Strand, M. (2018) Challenges with BI adoption in SMEs. 8th IISA 2017, 2018-Janua, 1–6 https://doi.org/10.1109/IISA.2017.8316407 [14] Jasemi, M., Kimiagari, A. M. (2011) Developing a modular portfolio selection model for short-term and longterm market trends and mass psychology South African Journal of Industrial Engineering, 22 (1), 67–81 [15] Herrera, M., et al. (2010) Predictive models for forecasting hourly urban water demand Journal of Hydrology, 387(1– 2), 141–150 https://doi.org/10.1016/j.jhydrol.2010.04.005 [16] Lee, Y. S., Tong, L. I. (2011) Forecasting energy consumption using a grey model improved by incorporating genetic programming Energy Conversion and Management, 52 (1), 147–152 https://doi.org/10.1016/j.enconman.2010.06.053 [17] Dudek, G. (2016) Pattern-Based Local Linear Regression Models for Short-Term Load Forecasting Electric Power System Research, 130 (August), 139–147 https://doi.org/http://dx.doi.org/10.1016/j.epsr.2015.09.001 [18] Tsai, S. B. et al. (2017) Models for forecasting growth trends in renewable energy Renewable and Sustainable Energy Reviews, 77, 1169–1178 https://doi.org/10.1016/j.rser.2016.06.001 [19] Silva, A. et al. (2017) Energy-efficient node position identification through payoff matrix and variability analysis Telecommunication Systems, 65 (3), 459–477 https://doi.org/10.1007/s11235-016-0245-4 [20] Wilson, B. M. R., Khazaei, B., & Hirsch, L. (2017) Cloud adoption decision support for SMEs using Analytical Hierarchy Process (AHP) Proc. 4th AIEEE 2016, 10–12 https://doi.org/10.1109/AIEEE.2016.7821809 [21] Salleh, N. A., Hussin, H. (2017) A conceptual model on cloud computing and SME performance: Resource-based view Proceedings - 6th International Conference on Information and Communication Technology for the Muslim World, ICT4M 2016, 105–111 https://doi.org/10.1109/ICT4M.2016.032 [22] Guarda, T., Santos, M., Pinto, F., Augusto, M., & Silva, C. (2013) Business Intelligence as a Competitive Advantage for SMEs International Journal of Trade, Economics and Finance, January, 187–190 https://doi.org/10.7763/ijtef.2013.v4.283 [23] Kung, C. Y., Wen, K. L. (2007) Applying Grey Relational Analysis and Grey Decision-Making to evaluate the relationship between company attributes and its financial performance-A case study of venture capital enterprises in Taiwan Decision Support Systems, 43(3), 842–852 https://doi.org/10.1016/j.dss.2006.12.012 [24] Kayacan, E., Ulutas, B., Kaynak, O. (2010) Grey system theory-based models in time series prediction Expert Systems with Applications, 37(2), 1784–1789 https://doi.org/10.1016/j.eswa.2009.07.064 [25] G. M. NEGREIROS, J., L. MARQUES, J. A. (2019) Microsoft Power BI Desktop for Data Analytics. Proc. eedings of the Multidisciplinary Academic Conference, 132 http://search.ebscohost.com/login.aspx?direct=true&db=edb&AN=13729 7569&site=eds-live&scope=site [26] Gowthami, K., Kumar, M. R. P. (2017) Study on Business Intelligence Tools for Enterprise Dashboard Development International Research Journal of Engineering and Technology(IRJET), 4 (4) 2987–2992 [27] Armstrong, J. S. (2001) Evaluating Forecasting Methods In Principles of Forecasting: A Handbook for Researchers and Practitioners (p 443–472) https://doi.org/10.1007/978-0-306-47630-3_20 [28] Chugh, R., Grandhi, S. (2013) Why Business Intelligence Significance of Business Intelligence Tools and Integrating BI Governance with Corporate Governance International Journal of E-Entrepreneurship and Innovation, 4 (2) 1–14. https://doi.org/10.4018/ijeei.2013040101 |