DATA DRIVEN DECISION-MAKING AND PROJECT PERFORMANCE: AN EMPIRICAL STUDY

Authors

  • Tserendulam Shurenchuluun Business School, National University of Mongolia
  • Bolor Amarsanaa Researcher
  • Chimgee Dari Business School, National University of Mongolia

DOI:

https://doi.org/10.22353/jbai.2025110404

Keywords:

decision-making, data-driven, information quality, project performance, sustainability

Abstract

Ensuring project success and sustainability has become one of the key challenges facing managers today. By effectively utilizing data analytics, organizations can optimize resource allocation, manage project flows more efficiently, reduce risks, and make evidence-based decisions. The implementation of Data-Driven Decision-Making (DDDM) enables managers to make higher-quality, real-time, and adaptive decisions that are grounded in accurate information. This approach not only enhances project performance, efficiency, and effectiveness but also strengthens organizational competitiveness and contributes to long-term sustainable value creation.
The purpose of this study is to identify the key factors influencing the successful implementation of data-driven decision-making in project management and to examine the interrelationships among these factors.

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Published

2026-05-27

How to Cite

Shurenchuluun, T., Amarsanaa, B., & Dari, C. (2026). DATA DRIVEN DECISION-MAKING AND PROJECT PERFORMANCE: AN EMPIRICAL STUDY. Journal of Business and Innovation (Бизнес & Инноваци), 11(04), 52–74. https://doi.org/10.22353/jbai.2025110404

Issue

Vol. 11 No. 04 (2025): Бизнес ба Инноваци

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.