Big Data Analytics Capabilities and Strategic Decision-Making in Malaysian Public Organizations: A Proposed Framework

Authors

  • Mohd Hazly Mazly Faculty of Information Science, UiTM Puncak Perdana campus, UiTM Selangor Branch
  • Mad Khir Johari Abdullah Sani Faculty of Information Science, UiTM Puncak Perdana campus, UiTM Selangor Branch
  • Nora’ayu Ahmad Uzir Faculty of Information Science, UiTM Puncak Perdana campus, UiTM Selangor Branch

DOI:

https://doi.org/10.24191/jikm.v15iSI2.7346

Keywords:

Big Data Analytics, Strategic Decision Making, Continuous Improvement, Public Organizations

Abstract

This study investigates the role of Big Data Analytics Capabilities (BDAC) in enhancing strategic decision-making within Malaysian public organizations. Using an extensive literature review, the research identifies key dimensions—management, governance, and cultural capabilities—as critical factors influencing the adoption of BDAC. Additionally, it proposes a conceptual framework integrating Continuous Improvement (CI) as a mediator, addressing existing governance and operational efficiency gaps. The findings aim to provide actionable insights for public organizations to harness BDAC effectively, improving service quality, resource allocation, and accountability. This study offers a foundation for empirical validation through surveys and case studies.

References

Abbasi, A., Sarker, S., Chiang, R.H. (2016). Big data research in information systems: toward an inclusive research agenda, J. Assoc. Inf. Syst. 17 (2).

Akhtar, P., Frynas, J. G., Mellahi, K., & Ullah, S. (2019). Big Data‐Savvy Teams’ Skills, Big Data‐Driven Actions and Business Performance. British Journal of Management, 30(2), 252–271. doi:10.1111/1467-8551.12333

Arnott, D. & Pervan, G. (2016). A critical analysis of decision support systems research revisited: the rise of design science, Enacting Research Methods in Information Systems, Springer, pp. 43–103.

Arunachalam, D. et al. (2018). Understanding big data analytics capabilities in supply chain management: Unravelling the issues, challenges and implications for practice, Transportation Research Part E: Logistics and Transportation Review,Volume 114, Pages 416-436, ISSN 1366-5545, https://doi.org/10.1016/j.tre.2017.04.001.

Barnaghi, P., Sheth, A., & Henson, C. (2013). From Data to Actionable Knowledge: Big Data Challenges in the Web of Things [Guest Editors’ Introduction]. IEEE Intelligent Systems, 28(6), 6–11. doi:10.1109/mis.2013.142

Barton, D., & Court, D. (2012). Making advanced analytics work for you. Harvard business review, 90(10), 78-83.

Bhatt, G. D., & Grover, V. (2005). Types of information technology capabilities and their role in competitive advantage: An empirical study. Journal of management information systems, 22(2), 253-277.

Cao, G., Duan, Y., & Li, G. (2015). Linking Business Analytics to Decision Making Effectiveness: A Path Model Analysis. IEEE Transactions on Engineering Management, 62(3), 384–395. https://doi.org/10.1109/TEM.2015.2441875

Ciampi, F., et al. (2021). Exploring the impact of big data analytics capabilities on business model innovation: The mediating role of entrepreneurial orientation. Journal of Business Research, 123, 1-13.

Constantiou, I.D. & Kallinikos, J. (2015). New games, new rules: big data and the changing context of strategy, J. Inf. Technol. 30 (1) 44–57.

Davenport,T.H., Barth, P., Bean, R., (2012). How big data is different, MIT Sloan Manage. Rev. 54 (1) 43.

Dong, J.Q. and Yang, C.H., (2020). Business value of big data analytics: A systems-theoretic approach and empirical test, Information & Management, Volume 57, Issue 1, 103124, ISSN 0378-7206, https://doi.org/10.1016/j.im.2018.11.001.

Dubey, R., Luo, Z., Gunasekaran, A., Akter, S., Hazen, B. T., & Douglas, M. A. (2018). Big data and predictive analytics in humanitarian supply chains: Enabling visibility and coordination in the presence of swift trust. The International Journal of Logistics Management, 29(2), 485-512.

Elbashir, M. Z. (2017). Creating Value From Business Intelligence Systems Investments. In Global Business Intelligence (pp. 207-222). Routledge.

Fayyad, U., Stolorz, P. (1997). Data mining and KDD: Promise and challenges, Future Generation Computer Systems, Volume 13, Issues 2–3, Pages 99-115, ISSN 0167-739X, https://doi.org/10.1016/S0167-739X(97)00015-0.

Gamage, P. (2016). New development: Leveraging ‘big data’ analytics in the public sector. Public Money and Management, 36(5), 385–390. https://doi.org/10.1080/09540962.2016.1194087

Garmaki, Mahda; Boughzala, Imed; and Wamba, Samuel Fosso, "THE EFFECT OF BIG DATA ANALYTICS CAPABILITY ON FIRM PERFORMANCE" (2016).PACIS 2016 Proceedings. 301. http://aisel.aisnet.org/pacis2016/301

Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information and Management, 53(8), 1049–1064. https://doi.org/10.1016/j.im.2016.07.004

Gupta, D., & Rani, R. (2019). A study of big data evolution and research challenges. Journal of information science, 45(3), 322-340.

Janssen, M., van der Voort, H., & Wahyudi, A. (2017). Factors influencing big data decision-making quality. Journal of Business Research, 70, 338–345. https://doi.org/10.1016/j.jbusres.2016.08.007

MAMPU (2016). Analitis Data Raya Sektor Awam (DRSA). http://www.mampu.gov.my/ms/data raya-sektor-awam-drsa

Manyika, J., Chui, M., Brown, B., Bughin, J., Dobbs, R., Roxburgh, C., Byers, A.H. (2011). Big Data: The Next Frontier for Innovation, Competition, and Productivity, (2011).

McAfee, A., Brynjolfsson, E., Davenport, T.H. (2012) Big data: the management revolution, Harv. Bus. Rev. 90 (10) 60–68.

McLaughlin, M. (2017). Decentralized decision making on human capital management in k-12 education (Doctoral dissertation, California Lutheran University).

Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information and Management, 57(2). https://doi.org/10.1016/j.im.2019.05.004

Mikalef, P., Pappas, I.O, Krogstie, J., Giannakos, M. (2018). Big data analytics capabilities: a systematic literature review and research agenda, Inf. Syst. E-Bus. Manag. 16 (1–32).

Olszak, C. M. (2016). Big Data–opportunities and challenges for organizations. Risks and Opportunities–in Search of Equilibrium. Cracow University of Economics, 113-128.

Özemre, M., & Kabadurmus, O. (2020). A big data analytics based methodology for strategic decision making. Journal of Enterprise Information Management, 33(6), 1467–1490. https://doi.org/10.1108/JEIM-08-2019-0222

Pedro, J., Brown, I., & Hart, M. (2019). Capabilities and readiness for big data analytics. Procedia Computer Science, 164, 3-10.

Ransbotham, S., Kiron, D., & Prentice, P. K. (2015). Minding the analytics gap. MIT Sloan management review, 56(3), 63-68.

Rialti, R., et al. (2019). Big data analytics capabilities and performance: Evidence from a moderated multi-mediation model. Technological Forecasting and Social Change, 149, 119781.

SAS, Big Data Analytics: An Assessment of Demand for Labour and Skills, 2012–2017, SAS, 2013.

Shabbir, M. Q., & Gardezi, S. B. W. (2020). Application of big data analytics and organizational performance: the mediating role of knowledge management practices. Journal of Big Data, 7(1), 47.

Shamim, et al. (2019). Role of big data management in enhancing big data decision-making capability and quality among Chinese firms: A dynamic capabilities view, Information & Management, Volume 56, Issue 6, ISSN 0378-7206, https://doi.org/10.1016/j.im.2018.12.003.

Sharma, R., Mithas, S., Kankanhalli, A.(2014). Transforming decision-making processes: a research agenda for understanding the impact of business analytics on organisations, Eur. J. Inf. Syst. 23 (4) 433–441.

Shim, J.P. et al. (2002). Past, present, and future of decision support technology, Decision Support Systems, Volume 33, Issue 2, Pages 111-126, ISSN 0167-9236, https://doi.org/10.1016/S0167-9236(01)00139-7.

Shokouhyar, S., Seddigh, M. R., & Panahifar, F. (2020). Impact of big data analytics capabilities on supply chain sustainability: A case study of Iran. World Journal of Science, Technology and Sustainable Development, 17(1), 33-57.

Seddon, J. and Currie, W.(2017). A model for unpacking big data analytics in high-frequency trading, Journal of Business Research, Volume 70, Pages 300-307, ISSN 0148-2963, https://doi.org/10.1016/j.jbusres.2016.08.003.

Sivarajah, U. et al. (2017). Critical analysis of Big Data challenges and analytical methods, Journal of Business Research, Volume 70, Pages 263-286, ISSN 0148-2963, https://doi.org/10.1016/j.jbusres.2016.08.001.

Upadhyay, P., & Kumar, A. (2020). The intermediating role of organizational culture and internal analytical knowledge between the capability of big data analytics and a firm’s performance. International Journal of Information Management, 52, 102100.

Vidgen, R., Shaw, S., Grant, D.B.(2017). Management challenges in creating value from business analytics, Eur. J. Oper. Res. 261 (2) 626–639.

Walker, S.J. (2014). Big Data: A Revolution That Will Transform How We Live, Work, and Think, Taylor & Francis.

Wamba, S. F., Akter, S., & Guthrie, C. (2020). Making big data analytics perform: the mediating effect of big data analytics dependent organizational agility. Systèmes d'information & management, 25(2), 7-31.

Wamba, S.F., Gunasekaran, A., Akter, S., Dubey, R., Childe, S.J. (2017). Big data analytics and firm performance: effects of dynamic capabilities, J. Bus. Res. 70 (2017) 356–365.

Wang, Y., & Hajli, N. (2017). Exploring the path to big data analytics success in healthcare. Journal of Business Research, 70, 287-299.

Yasmin. et al. (2020). Big data analytics capabilities and firm performance: An integrated MCDM approach, Journal of Business Research, Volume 114, Pages 1-15, ISSN 0148-2963, https://doi.org/10.1016/j.jbusres.2020.03.028.

Zeng, J., & Glaister, K. W. (2017). Value creation from big data: Looking inside the black box. Strategic Organization, 16(2), 105–140. doi:10.1177/1476127017697510

Downloads

Published

01-08-2025

How to Cite

Mazly, M. H., Abdullah Sani , M. K. J., & Ahmad Uzir, N. . (2025). Big Data Analytics Capabilities and Strategic Decision-Making in Malaysian Public Organizations: A Proposed Framework . Journal of Information and Knowledge Management, 15(SI2), 66–76. https://doi.org/10.24191/jikm.v15iSI2.7346

Issue

Section

The 6th International Conference of Information Science