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The evaluation of soft skills in project management presents persistent methodological challenges due to their behavioral, relational, and context-dependent nature. This study systematically investigates (i) the dominant measurement approaches currently employed, and (ii) the diffusion of objective behavioral assessment tools capable of capturing enacted behaviors. The findings reveal a prevailing reliance on self-report measures, with limited adoption of objective behavioral assessments. To address this gap, the study proposes an innovative measurement architecture integrating technology-mediated tools—such as virtual escape rooms and e-driving simulations—and a dedicated algorithm for standardizing and interpreting behavioral data against population benchmarks. This framework offers a replicable methodology capable of generating empirically grounded, behavior-based data for theory-building and validation.

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Advances in Measuring Soft Skills in Project Management. A Technology-Mediated Approach to Capture the Enacted Behavior

  • 章节

  • 发表日期：

    2025年

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  • Franca Cantoni,
  • Camilla Capogreco,
  • Marco Cerri,
  • Emanuele Patti,
  • Claudio Soregaroli

摘要

The evaluation of soft skills in project management presents persistent methodological challenges due to their behavioral, relational, and context-dependent nature. This study systematically investigates (i) the dominant measurement approaches currently employed, and (ii) the diffusion of objective behavioral assessment tools capable of capturing enacted behaviors. The findings reveal a prevailing reliance on self-report measures, with limited adoption of objective behavioral assessments. To address this gap, the study proposes an innovative measurement architecture integrating technology-mediated tools—such as virtual escape rooms and e-driving simulations—and a dedicated algorithm for standardizing and interpreting behavioral data against population benchmarks. This framework offers a replicable methodology capable of generating empirically grounded, behavior-based data for theory-building and validation.