Potential Benefits and Business Value of Big Data Analytics

Authors

  • Dewi Sri Woelandari P.G Ph.D Student of Economics and Business Universitas Diponegoro Semarang dan Department of Management Universitas Bhayangkara Jaya

DOI:

https://doi.org/10.31334/bijak.v15i2.199

Keywords:

Big Data Analytic, Business Value, Business Organization

Abstract

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.

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Published

2018-10-12

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