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Unpacking the Role of Big Data Analytics Capability in Sustainable Business Performance: Insights from Digital Sustainability Reporting Readiness in Latvia

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  • Jekaterina Novicka

    (Department of Economics and Finance, BA School of Business and Finance, K. Valdemara Street 161, LV-1013 Riga, Latvia)

Abstract

A fundamental debate among sustainable development researchers and practitioners is whether, and through what mechanisms, sustainability contributes to gaining a competitive advantage. To address this consideration, this study draws on the general systems theory (GST), organisational information processing theory (OIPT), resource-based theory and recent studies on big data analytics capability (BDAC), digitalisation, sustainability, digital sustainability reporting (DSR), and business performance. A comprehensive research model was developed to assess the interrelationships and mediating effects of the mentioned constructs; the analyses utilised a sample of 75 large Latvian organisations preparing for the first reporting under Corporate Sustainability Reporting Directive. The results obtained using partial least squares structural equation modelling contribute to the theory by revealing that digital sustainability reporting fully mediates the relationship between sustainability and business performance. Moreover, BDAC emerges as a fundamental enabler, forming the foundation of a “house” where digitainability and DSR serve as its walls and enhanced business performance as its roof. This study also contributes to the sustainability and sustainability accounting literature by presenting a sustainable business development framework that offers practical insights for organisations navigating the integration of sustainability reporting in highly uncertain environments.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:8:p:3666-:d:1637500
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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. Carol A. Adams & Glen Whelan, 2009. "Conceptualising future change in corporate sustainability reporting," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 22(1), pages 118-143, January.
    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. Arun Rai & Xinlin Tang, 2010. "Leveraging IT Capabilities and Competitive Process Capabilities for the Management of Interorganizational Relationship Portfolios," Information Systems Research, INFORMS, vol. 21(3), pages 516-542, September.
    5. 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.
    6. Sarstedt, Marko & Radomir, Lăcrămioara & Moisescu, Ovidiu Ioan & Ringle, Christian M., 2022. "Latent class analysis in PLS-SEM: A review and recommendations for future applications," Journal of Business Research, Elsevier, vol. 138(C), pages 398-407.
    7. 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).
    8. Zeeshan Raza & Johan Woxenius, 2023. "Customer‐driven sustainable business practices and their relationships with environmental and business performance—Insights from the European shipping industry," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 6138-6153, December.
    9. Salzmann, Oliver & Ionescu-somers, Aileen & Steger, Ulrich, 2005. "The Business Case for Corporate Sustainability:: Literature Review and Research Options," European Management Journal, Elsevier, vol. 23(1), pages 27-36, February.
    10. Sande, Jon Bingen & Ghosh, Mrinal, 2018. "Endogeneity in survey research," International Journal of Research in Marketing, Elsevier, vol. 35(2), pages 185-204.
    11. 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.
    12. Sarstedt, Marko & Hair, Joseph F. & Cheah, Jun-Hwa & Becker, Jan-Michael & Ringle, Christian M., 2019. "How to specify, estimate, and validate higher-order constructs in PLS-SEM," Australasian marketing journal, Elsevier, vol. 27(3), pages 197-211.
    13. Shivam Gupta & Mahsa Motlagh & Jakob Rhyner, 2020. "The Digitalization Sustainability Matrix: A Participatory Research Tool for Investigating Digitainability," Sustainability, MDPI, vol. 12(21), pages 1-27, November.
    14. Shivam Gupta & Jakob Rhyner, 2022. "Mindful Application of Digitalization for Sustainable Development: The Digitainability Assessment Framework," Sustainability, MDPI, vol. 14(5), pages 1-23, March.
    15. repec:eme:aaaj00:09513570910923033 is not listed on IDEAS
    16. Carol A. Adams & Glen Whelan, 2009. "Conceptualising future change in corporate sustainability reporting," Accounting, Auditing & Accountability Journal, Emerald Group Publishing Limited, vol. 22(1), pages 118-143, January.
    17. 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).
    18. Alfred Wagenhofer, 2024. "Sustainability Reporting: A Financial Reporting Perspective," Accounting in Europe, Taylor & Francis Journals, vol. 21(1), pages 1-13, January.
    19. 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.
    20. Roßmann, Bernhard & Canzaniello, Angelo & von der Gracht, Heiko & Hartmann, Evi, 2018. "The future and social impact of Big Data Analytics in Supply Chain Management: Results from a Delphi study," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 135-149.
    21. Cristina Bota-Avram, 2023. "Bibliometric analysis of sustainable business performance: where are we going? A science map of the field," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(1), pages 2137-2176, March.
    22. Jekaterina Novicka & Tatjana Volkova, 2024. "Regulation of Sustainability Reporting Requirements—Digitalisation Path," Sustainability, MDPI, vol. 17(1), pages 1-19, December.
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