Smart Media Journal (스마트미디어저널)

THE KOREAN INSTITUTE OF SMART MEDIA (한국스마트미디어학회)
권호 표지
DOI QR코드

DOI QR Code

The Impact of Big Data Analytics Capabilities and Values on Business Performance

빅데이터 분석능력과 가치가 비즈니스 성과에 미치는 영향

  • 노미진 (계명대학교 경영정보학과) ;
  • 이충권 (계명대학교 경영정보학과)
  • Received : 2021.01.04
  • Accepted : 2021.03.15
  • Published : 2021.03.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study investigated the relationships between the analytics capability and value of big data and business performance for big data analysts of business organizations. The values that big data can bring were categorized into transactional value, strategic value, transformational value, and informational value, and we attempted to verify whether these values lead to business performance. Two hundred samples from employees with experience in big data analysis were collected and analyzed. The hypotheses were tested with a structural equation model, and the capability of big data analytics was found to have a significant effect on the value and business performance of big data. Among the big data values, transactional value, strategic value, and transformational value had a positive effect on business performance, but the impact of informational value has not been proven. The results of this study are expected to provide useful information to business organizations seeking to achieve business performance using big data.

본 연구는 기업의 빅데이터 분석가들을 대상으로 빅데이터의 분석능력과 가치, 그리고 비즈니스 성과와의 관련성을 살펴보았다. 빅데이터가 가져올 수 있는 가치를 거래적 가치, 전략적 가치, 변혁적 가치, 정보적 가치로 분류하였고, 이러한 가치들이 비즈니스 성과로 연결되는 지를 검증하고자 하였다. 빅데이터 분석을 수행한 경험이 있는 직원들을 대상으로 200부의 설문을 수거하여 분석하였다. 구조방정식 모형으로 가설을 검정하였고, 빅데이터 분석능력은 빅데이터의 가치와 비즈니스 성과에 의미있는 영향력을 미치는 것으로 나타났다. 빅데이터 가치들 중에서 거래적 가치, 전략적 가치, 그리고 변혁적 가치는 비즈니스 성과에 긍정적인 영향을 미치지만, 정보적 가치의 영향은 입증되지 않았다. 본 연구의 결과는 빅데이터를 활용하여 비즈니스 성과를 얻으려는 기업들에게 유용한 정보를 제공할 수 있을 것으로 기대된다.

Keywords

References

  1. J.S. Kim, B.H. Choi, and G.H. Cho, "A study on personal information protection system for big data utilization in industrial sectors," Smart Media Journal, vol. 8, no. 1, pp. 9-18, 2019.
  2. H.J. Kim, J.H. Ra, W.R. Jeon, and P. K. Kim, "A study on construction of platform using spectrum big data," Smart Media Journal, vol. 9, no. 2, pp. 99-109, 2020. https://doi.org/10.30693/SMJ.2020.9.2.99
  3. I.D. Constantiou, and J. Kallinikos, "New games, new rules: big data and the changing context of strategy," Journal of Information Technology, vol. 30, no. 1, pp. 44-57, 2015. https://doi.org/10.1057/jit.2014.17
  4. S.F. Wamba, A. Gunasekaran, S. Akter, S.J.-f. Ren, R. Dubey, and S.J. Childe, "Big data analytics and firm performance: effects of dynamic capabilities," Journal of Business Research, vol. 70, pp. 356-365, 2017. https://doi.org/10.1016/j.jbusres.2016.08.009
  5. H. Chen, R.H. Chiang, and V. C. Storey, "Business intelligence and analytics: From big data to big impact," MIS Quarterly, vol. 36, no. 4, pp. 1165-1188, 2012. https://doi.org/10.2307/41703503
  6. S. Ren, S. Fosso Wamba, S. Akter, R. Dubey, and S.J. Childe, "Modelling quality dynamics, business value and firm performance in a big data analytics environment," International Journal of Production Research, pp. 1-16, 2017.
  7. G. George, M.R. Haas, and A. Pentland, "Big data and management," Academy of Management Journal, vol. 57, no. 2, pp. 321-326, 2014. https://doi.org/10.5465/amj.2014.4002
  8. H.J. Watson, "Tutorial: Big data analytics: Concepts, technologies, and applications," Communications of the Association for Information Systems, vol. 34, no. 1, pp. 1247-1268, 2014. https://doi.org/10.17705/1CAIS.03465
  9. C.K. Lee, "A study of big data information systems building and cases," Smart Media Journal, vol. 4, no. 3, pp. 56-61, 2015.
  10. P. Mikalef, J. Krogstie, I.O. Pappas, and P. Pavlou, "Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities," Information and Management, vol. 57, no. 2, pp. 103-169, 2020.
  11. C.P. Chen, and C,Y. Zhang, "Data-intensive applications, challenges, techniques and technologies: a survey on big data," Information Science, vol. 275, pp. 314-347, 2014. https://doi.org/10.1016/j.ins.2014.01.015
  12. M. Gupta, and J.F. George, "Toward the development of a big data analytics capability," Information Management, vol. 53, no. 8, pp. 1049-1064, 2016. https://doi.org/10.1016/j.im.2016.07.004
  13. P. Mikalef, I.O. Pappas, J. Krogstie, and M. Giannakos, "Big data analytics capabilities: a systematic literature review and research agenda," Information System E-Business Management, vol. 16, no. 3, pp. 547-578, 2018. https://doi.org/10.1007/s10257-017-0362-y
  14. P.J. Sher, and V.C. Lee, "Information technology as a facilitator for enhancing dynamic capabilities through knowledge management," Information & Management, vol. 41, no. 8, pp. 933-945, 2004. https://doi.org/10.1016/j.im.2003.06.004
  15. S. Zuboff, In the age ofthe smart machine, Basic Book, NY, 1988.
  16. S. Gregor, M. Martin, W. Fernandez, S. Stern, and M. Vitale, "The transformational dimension in the realization of business value from information technology," The Journal of Strategic Information Systems, vol. 15, no. 3, pp. 249-270, 2006. https://doi.org/10.1016/j.jsis.2006.04.001
  17. J.R. Steven, F.W. Samuel, A. Shahriar, D. Rameshwar, and S.J. Childe, "Modelling quality dynamics, business value and firm performance in a big data analytics environment," International Journal of Production Research, pp. 1-30, 2016.
  18. S.J. Ren, S.F. Wamba, S. Akter, R. Dubey, and S.J. Childe, "Modelling quality dynamics, business value and firm performance in a big data analytics environment," International Journal of Production, vol. 55, no. 17, pp. 5011-5026, 2017. https://doi.org/10.1080/00207543.2016.1154209
  19. T.H. Davenport, "Competing on analytics," Harvard Business Review, vol. 84, no. 1, pp. 2-11, 2006.
  20. Y. Liu, "Big data and predictive business analytics," Journal of Business Forecasting, vol. 33, no. 4, pp. 40-42, 2014.
  21. Gartner(2012). Gartner IT Glossary. Retrieved from http://www.gartner.com/it-glossary/big-data/ (accessed Jan., 4, 2021).
  22. E. Raguseo, "Big data technologies: An empirical investigation on their adoption, benefits and risks for companies," International Journal of Information Management, vol. 38, no. 1, pp. 187-195, 2018. https://doi.org/10.1016/j.ijinfomgt.2017.07.008
  23. E. Raguseo, and C. Virari, "Investments in big data analytics and firm performance: an empirical investigation of direct and mediating effects," International Journal of Production Research, vol. 56, no. 15, pp. 5206-5221, 2018. https://doi.org/10.1080/00207543.2018.1427900