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Bridging Big Data Analytics Capability with Sustainability Business Performance: A Literature Review

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  • Jekaterina Novicka

    (Department of Economics and Finance, BA School of Business and Finance, LV-1013 Riga, Latvia)

  • Tatjana Volkova

    (Department of Economics and Finance, BA School of Business and Finance, LV-1013 Riga, Latvia)

Abstract

This conceptual paper aims to discuss the crucial transformation of the impacts of big data analytics capability (BDAC) elements on business performance using the framework of sustainability reporting. The authors applied a literature review, content analysis, and bibliometric analysis as the core methodology for this study to define the key success factors for BDAC development in the organisation. The results are based on the theoretical framework of resource-based theory and knowledge-based theory and illustrate the link between BDAC elements and the financial and sustainability conceptualisation of business performance presented in the novel conceptual model. This study contributes to the literature by presenting a sustainability reporting diamond that defines BDAC elements’ key success factors necessary to integrate sustainability reporting in the organisational processes.

Suggested Citation

  • Jekaterina Novicka & Tatjana Volkova, 2025. "Bridging Big Data Analytics Capability with Sustainability Business Performance: A Literature Review," Sustainability, MDPI, vol. 17(6), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2362-:d:1607811
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    1. Bojana Bajic & Nikola Suzic & Slobodan Moraca & Miladin Stefanović & Milos Jovicic & Aleksandar Rikalovic, 2023. "Edge Computing Data Optimization for Smart Quality Management: Industry 5.0 Perspective," Sustainability, MDPI, vol. 15(7), pages 1-19, March.
    2. Ashish Kumar Jha & Maher Agi & Eric W.T. Ngai, 2020. "A note on big data analytics capability development in supply chain," Post-Print hal-03164004, HAL.
    3. Lu, Hui Ting & Li, Xue & Yuen, Kum Fai, 2023. "Digital transformation as an enabler of sustainability innovation and performance – Information processing and innovation ambidexterity perspectives," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    4. Denicolai, Stefano & Zucchella, Antonella & Magnani, Giovanna, 2021. "Internationalization, digitalization, and sustainability: Are SMEs ready? A survey on synergies and substituting effects among growth paths," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    5. Choi, Hyoung-Yong & Park, Junyoung, 2022. "Do data-driven CSR initiatives improve CSR performance? The importance of big data analytics capability," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    6. Thomas C. Powell, 1995. "Total quality management as competitive advantage: A review and empirical study," Strategic Management Journal, Wiley Blackwell, vol. 16(1), pages 15-37.
    7. David J. Teece & Gary Pisano & Amy Shuen, 1997. "Dynamic capabilities and strategic management," Strategic Management Journal, Wiley Blackwell, vol. 18(7), pages 509-533, August.
    8. Patrick Mikalef & Ilias O. Pappas & John Krogstie & Michail Giannakos, 2018. "Big data analytics capabilities: a systematic literature review and research agenda," Information Systems and e-Business Management, Springer, vol. 16(3), pages 547-578, August.
    9. Ann Kristin Meyer & Andreas Dutzi, 2024. "What Earnings Management Has to Do with Corporate Social Responsibility," Sustainability, MDPI, vol. 16(7), pages 1-24, March.
    10. Verhoef, Peter C. & Broekhuizen, Thijs & Bart, Yakov & Bhattacharya, Abhi & Qi Dong, John & Fabian, Nicolai & Haenlein, Michael, 2021. "Digital transformation: A multidisciplinary reflection and research agenda," Journal of Business Research, Elsevier, vol. 122(C), pages 889-901.
    11. Wang, Yichuan & Kung, LeeAnn & Byrd, Terry Anthony, 2018. "Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 3-13.
    12. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Gupta, Shivam & Sivarajah, Uthayasankar & Bag, Surajit, 2023. "Assessing the impact of big data analytics on decision-making processes, forecasting, and performance of a firm," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    13. Aleš Popovič & Ray Hackney & Rana Tassabehji & Mauro Castelli, 2018. "The impact of big data analytics on firms’ high value business performance," Information Systems Frontiers, Springer, vol. 20(2), pages 209-222, April.
    14. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Luo, Zongwei & Wamba, Samuel Fosso & Roubaud, David, 2019. "Can big data and predictive analytics improve social and environmental sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 534-545.
    15. Zhao, Guoqing & Xie, Xiaotian & Wang, Yi & Liu, Shaofeng & Jones, Paul & Lopez, Carmen, 2024. "Barrier analysis to improve big data analytics capability of the maritime industry: A mixed-method approach," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    16. AlNuaimi, Bader Khamis & Khan, Mehmood & Ajmal, Mian M., 2021. "The role of big data analytics capabilities in greening e-procurement: A higher order PLS-SEM analysis," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    17. Thomas C. Powell & Anne Dent‐Micallef, 1997. "Information technology as competitive advantage: the role of human, business, and technology resources," Strategic Management Journal, Wiley Blackwell, vol. 18(5), pages 375-405, May.
    18. Huynh, Minh-Tay & Nippa, Michael & Aichner, Thomas, 2023. "Big data analytics capabilities: Patchwork or progress? A systematic review of the status quo and implications for future research," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    19. Gunday, Gurhan & Ulusoy, Gunduz & Kilic, Kemal & Alpkan, Lutfihak, 2011. "Effects of innovation types on firm performance," International Journal of Production Economics, Elsevier, vol. 133(2), pages 662-676, October.
    20. Duan, Wenqi & Khurshid, Adnan & Khan, Khalid & Calin, Adrian Cantemir, 2024. "Transforming industry: Investigating 4.0 technologies for sustainable product evolution in china through a novel fuzzy three-way decision-making process," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    21. Székely, Francisco & Knirsch, Marianna, 2005. "Responsible Leadership and Corporate Social Responsibility:: Metrics for Sustainable Performance," European Management Journal, Elsevier, vol. 23(6), pages 628-647, December.
    22. Prashant Kale & Harbir Singh, 2007. "Building firm capabilities through learning: the role of the alliance learning process in alliance capability and firm‐level alliance success," Strategic Management Journal, Wiley Blackwell, vol. 28(10), pages 981-1000, October.
    23. Jabbour, Charbel Jose Chiappetta & Jabbour, Ana Beatriz Lopes de Sousa & Sarkis, Joseph & Filho, Moacir Godinho, 2019. "Unlocking the circular economy through new business models based on large-scale data: An integrative framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 546-552.
    24. De Leeuw, A. C. J. & Volberda, H. W., 1996. "On the concept of flexibility: A dual control perspective," Omega, Elsevier, vol. 24(2), pages 121-139, April.
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    1. Jekaterina Novicka, 2025. "Unpacking the Role of Big Data Analytics Capability in Sustainable Business Performance: Insights from Digital Sustainability Reporting Readiness in Latvia," Sustainability, MDPI, vol. 17(8), pages 1-35, April.

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