Abstract
Business Intelligent (BI) tools adopted in many companies as an effort to develop new strategies and survive in the rapid changes and agility situation. New horizons emerged with the implementation of the BI concept using “Cloud Computing”. The leading IT companies compete to develop BI cloud-based services (cloud BI). This study aimed to determine the factors influencing manager decision to adopt cloud BI in Indonesia’s financial service sector, using the diffusion of innovation (DOI) model and technology organization environment (TOE) framework. The research also obtains prediction of the cloud BI marketing trend in Indonesia. The survey conducted with 30 participants at the senior management level in Indonesia’s financial services sector. The findings reveal, the adoption rate of cloud BI in Indonesia financial service sector still very low. Only 3.4% of firms have implemented cloud BI, while 10% not considering the cloud BI adoption. The results of this research can be used by vendors to develop cloud BI tools that fit into the customer’s need. It is also very useful for marketers to know the characteristics and demographics of cloud BI users. For regulators, this research illustrates how and what drives regulators to make policies that can encourage companies to use the latest technology.
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References
Olszak, C.M.: Toward better understanding and use of business intelligence in organizations. Inf. Syst. Manag. 33(2), 105–123 (2016)
Kasem, M., Hassanein, E.E.: Cloud business intelligence survey. Lect. Notes Bus. Inf. Process. 183, 307–317 (2014)
Chang, B.R., Wang, Y.A., Lee, Y.D., Huang, C.F.: Development of multiple big data analysis platforms for business intelligence. In: Proceedings of 2017 IEEE International Conference on Applied System Innovation, ICASI 2017, vol. 1, pp. 1930–1933 (2017)
Dawson, L., Van Belle, J.-P.: Critical success factors for business intelligence in the South African financial services sector. SA J. Inf. Manag. 15(1), 1–12 (2013)
Lindner, M.A., Vaquero, L.M., Merino, L.R., Caceres, J.: Cloud economics: dynamic business models for business on demand. Int. J. Bus. Inf. Syst. 5(4), 373 (2010)
Olszak, C.M.: Business intelligence in cloud. Polish J. Manag. Stud. 10(2), 115–125 (2014)
Ricardo, J., Bernardino, J., Almeida, A.: Cloud business intelligence for virtual organizations. In: Proceedings of 2014 International C* Conference on Computer Science and Software Engineering - C3S2E 2014, pp. 1–7 (2008)
Gurjar, Y.S., Rathore, V.S.: Cloud business intelligence - is what business need today. Int. J. Recent Technol. Eng. 1(6), 81–86 (2013)
Baars, H., Kemper, H.-G.: Business intelligence in the cloud? In: PACIS 2010 Proceedings, vol. 1, pp. 1528–1539 (2010)
Ouf, S., Nasr, M.: Business intelligence in the cloud. In: 2011 IEEE 3rd International Conference on Communication Software Networks, ICCSN 2011, vol. 12, no. 1, pp. 650–655 (2011)
Al-Aqrabi, H., Liu, L., Hill, R., Antonopoulos, N.: Cloud BI: future of business intelligence in the cloud. J. Comput. Syst. Sci. 81(1), 85–96 (2015)
Acheampong, O., Moyaid, S.A.: An integrated model for determining business intelligence systems adoption and post-adoption benefits in banking sector. J. Adm. Bus. Stud. 2(2), 84–100 (2016)
Oliveira, T., Martins, M.F.: Literature review of information technology adoption models at firm level. Electron. J. Inf. Syst. Eval. 14(1), 110–121 (2011)
Mckinnie, M.: Cloud computing: TOE adoption factors by service model in manufacturing, p. 131 (2016)
Oliveira, T., Thomas, M., Espadanal, M.: Assessing the determinants of cloud computing adoption: an analysis of the manufacturing and services sectors. Inf. Manag. 51(5), 497–510 (2014)
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Indriasari, E., Wayan, S., Gaol, F.L., Trisetyarso, A., Saleh Abbas, B., Ho Kang, C. (2019). Adoption of Cloud Business Intelligence in Indonesia’s Financial Services Sector. In: Nguyen, N., Gaol, F., Hong, TP., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2019. Lecture Notes in Computer Science(), vol 11431. Springer, Cham. https://doi.org/10.1007/978-3-030-14799-0_45
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