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Leveraging business intelligence for responsible decision-making in the digital era

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review

1 Citation (Scopus)

Abstract

This chapter looks at how Business Intelligence (BI) can contribute to more responsible decision-making in today's data-driven organizations. It presents a conceptual framework based on data ethics, accountability, and stakeholder involvement, developed through a review of literature and real-world examples. The chapter discusses how BI tools can help detect bias, improve transparency, and support ethical practices, but also warns that BI is not neutral – its effects depend heavily on how it is governed. Without clear oversight, BI systems may reinforce inequality or erode trust. Case studies from sectors like finance, sustainability, and telecommunications show both the potential and the risks of BI use. The aim is to show that BI is not just about improving efficiency but can also support broader social and ethical goals if guided properly. The framework offers practical guidelines for aligning BI practices with values like fairness, inclusion, and regulatory responsibility.
Original languageEnglish
Title of host publicationResearch Handbook on Digital Transformation and Responsibility
EditorsNoel Carroll
PublisherEdward Elgar
Chapter14
Pages245-260
Number of pages16
ISBN (Electronic)9781035339884
ISBN (Print)9781035339877
DOIs
Publication statusPublished - 13 Jan 2026
Publication typeA3 Book chapter

Keywords

  • Business intelligence
  • Digital transformation
  • Responsible decision-making
  • Algorithmic bias
  • Data privacy
  • Ethical AI

Publication forum classification

  • Publication forum level 2

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