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A Theoretical Framework for Multi-Attribute Decision-Making Methods in the Intelligent Leading and Allocation of Human Resources in Research and Development Projects

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  • Cătălina-Monica Alexe

    (Department of Entrepreneurship and Management, Faculty of Entrepreneurship Business Engineering and Management, National University of Science and Technology POLITEHNICA Bucharest, 060042 Bucharest, Romania)

  • Roxana-Mariana Nechita

    (Department of Biomedical Mechatronics and Robotics, National Institute of Research and Development in Mechatronics and Measurement Technique, 021631 Bucharest, Romania)

Abstract

Effective human resource allocation is crucial for research and development project success. While multi-attribute decision-making methods are valuable, their application to human resource allocation in research and development remains underexplored; success factors are lacking, hindering robust decision frameworks. This paper identifies key human resource management attributes for research and development project success, integrating them into a theoretical framework for optimal allocation using multi-attribute decision-making methods. Our systematic literature review and content analysis of project performance research identified 49 distinct human resource-centric factors. These are organized into a functional model with four categories: strategic orientation, operational execution, organizational competence, and innovative–adaptive potential; their frequency indicates managerial focus. This highlights the critical need for a structured human resource allocation approach in research and development. Factors and the framework enhance project success. This study represents a foundational framework for MADM, offering a comprehensive and up-to-date list of relevant factors to ensure empirical and quantitative studies are grounded in a complete analysis rather than a random selection of a few factors. This work addresses a significant gap in the application of multi-attribute decision-making methods for human resource allocation in research and development, providing a comprehensive and robust tool for academia and practice.

Suggested Citation

  • Cătălina-Monica Alexe & Roxana-Mariana Nechita, 2025. "A Theoretical Framework for Multi-Attribute Decision-Making Methods in the Intelligent Leading and Allocation of Human Resources in Research and Development Projects," Sustainability, MDPI, vol. 17(16), pages 1-19, August.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:16:p:7535-:d:1728922
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