Big Data Applications in Decision-Making and Business Management in the Era of Business Intelligence

Dear Colleagues,

Recent advances in big data analytics and business intelligence (BI) have significantly expanded the capacity of organizations to support complex decision-making processes—beyond operational efficiency and performance optimization, data-driven decision systems increasingly shape strategic choices related to sustainability, resilience, and responsible business management. However, the integration of big data into organizational decision processes also introduces new forms of complexity, uncertainty, and ethical tension, particularly in relation to transparency, governance, and long-term societal impact (Gupta et al., 2018; Mikalef et al., 2019).

This Special Issue aims to advance interdisciplinary research on big data applications and BI-enabled decision-support systems that contribute to sustainable business management. It focuses on how analytical methods, decision architectures, and process-oriented approaches can support informed decision-making in complex organizational settings while addressing environmental, social, and economic sustainability goals. Particular attention is given to sustainability-oriented decision support, ESG (Environmental, Social, Governance) analytics, responsible AI, and the role of data-driven insights in managing organizational and process complexity (Dwivedi et al., 2021; Liao et al., 2024).

The Special Issue complements the existing literature by explicitly linking big data and BI research with sustainability and complexity-aware decision frameworks (Benbya et al., 2020). While much prior work emphasizes predictive accuracy, efficiency, efficiency gains, and firm performance outcomes (Grover et al., 2018; Mikalef et al., 2019), this Special Issue foregrounds decision quality, governance, and responsible value creation in complex organizational settings, contributing to current debates on sustainable digital transformation and evidence-based management within the scope of sustainability.

Suggested keywords:

Big Data Analytics; Business Intelligence; Decision Support Systems; Sustainable Business Management; Process and Organizational Complexity; Data-Driven Decision Making; Digital Sustainability; Responsible AI; ESG Analytics

References:

Benbya, H., Nan, N., Tanriverdi, H., & Yoo, Y. (2020). Complexity and Information Systems Research in the Emerging Digital World1. Management Information Systems Quarterly, 44(1), 1–18. https://doi.org/10.25300/MISQ/2020/13304

Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/j.ijinfomgt.2019.08.002

Grover, V., Chiang, R. H. L., Liang, T.-P., & Zhang, D. (2018). Creating Strategic Business Value from Big Data Analytics: A Research Framework. Journal of Management Information Systems, 35(2), 388–423. https://doi.org/10.1080/07421222.2018.1451951

Gupta, S., Kar, A. K., Baabdullah, A., & Al-Khowaiter, W. A. A. (2018). Big data with cognitive computing: A review for the future. International Journal of Information Management, 42, 78–89. https://doi.org/10.1016/j.ijinfomgt.2018.06.005

Liao, H.-T., Pan, C.-L., & Wu, Z. (2024). Digital transformation and innovation and business ecosystems: A bibliometric analysis for conceptual insights and collaborative practices for ecosystem innovation. International Journal of Innovation Studies, 8(4), 406–431. https://doi.org/10.1016/j.ijis.2024.04.003

Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2019). Big data analytics and firm performance: Findings from a mixed-method approach. Journal of Business Research, 98, 261–276. https://doi.org/10.1016/j.jbusres.2019.01.044

Dr. Aleksandra Revina
Dr. Rizun Nina
Guest Editors

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• big data analytics
• business intelligence
• decision support systems
• sustainable business management
• process and organizational complexity
• data-driven decision making
• digital sustainability
• responsible AI
• ESG analytics