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Business Intelligence as a Strategic Asset: Enhancing Decision Quality, Effectiveness and Performance in NGOs

Author

Listed:
  • Majd Helal
  • Meral Taşkın

    (Marmara Üniversitesi)

Abstract

The exponential growth of unstructured data has prompted organizations to adopt Business Intelligence (BI) tools. While BI adoption in profit-seeking sectors is well-studied, its use in non-governmental organizations (NGOs) remains underexplored. This study aims to fill this gap by investigating how BI technologies enhance decision-making quality, organizational effectiveness and performance in NGOs operating in Türkiye. Grounded in the Resource-Based View framework, the study posits that data quality is critical for BI to improve decision-making quality, ultimately leading to improved organizational outcomes. Survey data collected from 178 NGOs reveal findings consistent with the existing research in the for-profit sector. The results demonstrate that NGOs can leverage BI tools to optimize resource allocation and program implementation, align decision-making processes with their missions and goals, better serve their stakeholders, improve program outcomes, and enhance overall organizational effectiveness and performance. This study makes a significant contribution to the literature by highlighting the key role of BI technologies in the non-profit sector. Ultimately, this study underscores the transformative potential of BI technologies in improving decision-making and organizational outcomes in NGOs, offering a valuable foundation for future research and practical applications in the sector.

Suggested Citation

  • Majd Helal & Meral Taşkın, 2025. "Business Intelligence as a Strategic Asset: Enhancing Decision Quality, Effectiveness and Performance in NGOs," Journal of Economy Culture and Society, Istanbul University, Faculty of Economics, vol. 70(71), pages 221-238, June.
    • Handle: RePEc:ist:iujecs:v:70y:2025:i:0:p:221-238
    DOI: 10.26650/JECS2024-1552780
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    References listed on IDEAS

    as
    1. Barbara Wixom & Hugh Watson, 2010. "The BI-Based Organization," International Journal of Business Intelligence Research (IJBIR), IGI Global Scientific Publishing, vol. 1(1), pages 13-28, January.
    2. William Yeoh & Aleš Popovič, 2016. "Extending the understanding of critical success factors for implementing business intelligence systems," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(1), pages 134-147, January.
    Full references (including those not matched with items on IDEAS)

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