Potential Benefits and Business Value of Big Data Analytics
DOI:
https://doi.org/10.31334/bijak.v15i2.199Keywords:
Big Data Analytic, Business Value, Business OrganizationAbstract
Perkembangan teknologi informasi semakin memudahkan organisasi bisnis untuk dapat mengakses teknologi informasi secara cepat dan real time, sehingga organisasi bisnis dapat melakukan feedback atau respon yang lebih cepat mencari solusi terhadap keluhan pelanggan. Hal ini dapat dilakukan dengan menggunakan big data analytics (BDA). Big data merupakan sebuah kombinasi teknologi yang dapat mengelola data yang beragam dalam jumlah besar dengan kecepatan yang tepat dan pada saat yang tepat untuk keperluan analisis dan reaksi. Tujuan dari penelitian ini adalah menggali lebih jauh potensi manfaat dan nilai bisnis dari big data analytics (BDA) dalam organisasi bisnis dengan berbasis pada kajian literatur. Hasil kajian literatur dari studi ini merupakan kerangka konseptual (kontribusi teoritis) yang akan dikembangkan untuk penelitian lebih lanjut.References
Abbasi, A., Sarker, S., Chiang, R.H.L., 2016. Big data research in information systems: toward an inclusive research agenda. J. Assoc. Inf. Syst. 17, 1–32.
Agarwal, R., Dhar, V., 2014. Editorial—big data, data science, and analytics: the opportunity and challenge for IS research. Inf. Syst. Res. 25, 443–448.
Alamsyah, A. (2015). (Big) Data Analytics for Economics, Business and Management: A Social Network Approach. In Workshop Big Data Puslitbang Aptika dan IKP,tanggal 19 Mei 2015. Puslitbang Aptika dan IKP.
Aryasa, K. (2015). Big Data: Challenges and Opportunities. In Workshop Big Data Puslitbang Aptika dan IKP, tanggal 19 Mei 2015. Puslitbang Aptika dan IKP.
Bryant, R.E., Katz, R.H., Lazowska, E.D., 2008. Big-data computing: creating revolutionary breakthroughs in commerce, science, and society computing. Computing Research Initiatives for the 21st Century. Computing Research Association (Available at http://www.cra.org/ccc/files/docs/init/Big_Data.pdf).
Chandarana, Parth, & Vijayalakshmi, M. (2014). Big Data analytics frameworks: Circuits, Systems, Communication and Information Technology Applications (CSCITA). In International Conference on IEEE 2014. IEEE.
Chen, H., Chiang, R., & Storey, V. (2012). Business intelligence and analytics: From Big Data to big impact. MIS Quarterly, 36(4), 1165–1188.
Chrisvania, N. (2017). Social media and technology's impact on business, society, and culture. https://socialmediaweek.org/jakarta/2017/01/06/strategi-dalam-implementasi-big-data/.
Constantiou, I.D. and Kallinikos, J., 2015. “New games, new rules: big data and the changing context of strategyâ€, Journal of Information Technology (30:1), pp.44-57.
Corte Real,N., Oliveira, T., & Ruivo, P. (2014). Understanding the hidden value of business intelligence and analytics (BI&A). Twentieth American Conference of Information Systems. Savannah, Georgia: Association of Information Systems.
Davenport, T.H., 2006. “Competing on analyticsâ€, Harvard Business Review (84:1), p.98.
Erevelles, S., Fukawa, N., & Swayne, L. (2016). Big Data consumer analytics and the transformation of marketing. Journal of Business Research, 69(2), 897–904.
Gartner, 2014. Gartner SaysWorldwide IT Spending on Pace to Grow 3.2 Percent in 2014.
Gupta, M. and George, J.F., 2016. “Toward the development of a big data analytics capabilityâ€, Information & Management (53:8), pp.1049-1064. Janssen
Kaisler, S., Armour, F., Espinosa, J.A. and Money, W., 2013. “Big data: Issues and challenges moving forwardâ€, in System sciences (HICSS), 2013 46th Hawaii international conference on (pp. 9951004). IEEE
Kamioka, T. and Tapanainen, T., 2014. “Organizational Use of Big Data and Competitive AdvantageExploration of Antecedentsâ€, in PACIS 2014: 18th Pacific Asia Conference on Information Systems. Association for Information Systems. AIS Electronic Library (AISeL) (p. 372).
Kwon, O., Lee, N., & Shin, B. (2014). Data qualitymanagement, data usage experience and acquisition intention of Big Data analytics. International Journal of Information Management, 34(3), 387–394.
Lavalle, S., Lesser, E., Shockley, R., Hopkins, M.S., Kruschwitz, N., 2011. Big data,analytics and the path from insights to value. Mit. Sloan Manag. Rev. 52, 21–32.
McAfee, A., Brynjolfsson, E., Davenport, T.H., Patil, D.J. and Barton, D., 2012. “Big data. The management revolutionâ€, Harvard Business Review (90:10), pp.61-67.
Morabito, V. (2015). Big Data and analytics: Strategic and organizational impacts. Springer.
Rainer, Kelly, R., & Cegielski., C. G. (2009). Introduction to Information Systems. John Wiley & Sons (Asia) Pte Ltd.
Russom, P. (2011). The Three Vs of Big Data Analytics. TDWI
Shang, S., Seddon, P.B., 2002. Assessing and managing the benefits of enterprise system: The business manager perspective. Inf. Syst., J. 12 (4), 271-299.
Wamba, S.F., Gunasekaran, A., Akter, S., Ren, S.J.F., Dubey, R. and Childe, S.J., 2017. “Big data analytics and firm performance: Effects of dynamic capabilitiesâ€, Journal of Business Research (70), pp.356-365.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License
Please find the rights and licenses in Majalah Ilmiah Bijak By submitting the article/manuscript of the article, the author(s) agree with this policy. No specific document sign-off is required.
- License
The commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on Creative Commons Attribution-ShareAlike 4.0 International License.
2. Author(s)' Warranties
The author warrants that the article is original, written by stated author(s), has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author(s).
3. User Rights
Majalah Ilmiah Bijak spirit is to disseminate articles published are as free as possible. Under the Creative Commons license, Majalah Ilmiah Bijak permits users to copy, distribute, display, and perform the work for non-commercial purposes only. Users will also need to attribute authors and Majalah Ilmiah Bijak on distributing works in the journal and other media of publications.
4. Co-Authorship
If the article was jointly prepared by more than one author, any authors submitting the manuscript warrants that he/she has been authorized by all co-authors to be agreed on this copyright and license notice (agreement) on their behalf, and agrees to inform his/her co-authors of the terms of this policy. Jurnal Bijak will not be held liable for anything that may arise due to the author(s) internal dispute. Majalah Ilmiah Bijak will only communicate with the corresponding author.
5. Miscellaneous
Majalah Ilmiah Bijak will publish the article (or have it published) in the journal if the article’s editorial process is successfully completed. Jurnal Bijak editors may modify the article to a style of punctuation, spelling, capitalization, referencing and usage that deems appropriate. The author acknowledges that the article may be published so that it will be publicly accessible and such access will be free of charge for the readers as mentioned in point 3.
Every accepted manuscript should be accompanied by "Copyright Transfer Agreement"prior to the article publication.