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June 7, 2026International Entrepreneurship and Management JournalOpen Access

Unlocking human power: how artificial intelligence can transform performance measurement and management systems enhancing organizational decision-making

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Authors

GMGiuseppe ModarelliSAStefano AmelioPGPatrizia Gazzola

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Overview

This research outlines how AI enhances performance measurement and management systems, improving decision-making in organizations.

Key Points

  • The study aims to explore how artificial intelligence can transform performance measurement and management systems to enhance organizational decision-making.
  • Conducted a longitudinal examination over 18 months.
  • Utilized textual and co-occurrence analyses with machine-driven and human-centric sensitivity.
  • Developed an integrative model linking performance measurement systems, human capital, and AI.
  • Outlined a roadmap to simplify academic contributions and enhance organizational practices.
  • Demonstrated the potential of AI to reshape human roles within complex decision-making environments.
  • Identified the need for a hybrid approach integrating emerging technologies and human resources.

Cite This Study

Modarelli et al. (2026) studied this question.

synapsesocial.com/papers/6a250baa7def13d035e1bae4https://doi.org/10.1007/s11365-026-01234-5
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Integrating artificial intelligence into performance measurement and management: a systematic literature review2026
  2. 2Enhancing Human Resource Management Through Advanced Decision-Making Strategies: Harnessing The Power Of Artificial Intelligence For Strategic, Data-Driven, And Judicious Choices2024 · 8 citations
  3. 3The Role of Artificial Intelligence in Enhancing Strategic Decision-Making in Corporate Management2025 · 2 citations
  4. 4Reimagining performance management in the age of AI: beyond algorithmic control2026
  5. 5Artificial Intelligence and the Empowerment of Human Resource Management Practices: A Meta-Synthesis and Systematic Review of Multidimensional Considerations2026