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 assess- ment 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 inter- preting behavioral data against population benchmarks. This framework offers a replicable methodology capable of generating empirically grounded, behavior-based data for theory-building and validation
Cantoni, F., Capogreco, C., Cerri, M., Patti, E., Soregaroli, C., Advances in Measuring Soft Skills in Project Management.A Technology- Mediated Approach to Capture the Enacted Behavior, in Aizhan Tursunbayev, A. T., Francesco Viril, F. V., Alessio Maria Braccin, A. M. B. (ed.), Technology-Driven Transformation. The Future of Work and Organizations, Springer, Cham, Svizzera 2025: 321- 332. https://doi.org/10.1007/978-3-032-01396-5 [https://hdl.handle.net/10807/325346]
Advances in Measuring Soft Skills in Project Management. A Technology- Mediated Approach to Capture the Enacted Behavior
Cantoni, Franca
;Soregaroli, Claudio
2025
Abstract
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 assess- ment 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 inter- preting behavioral data against population benchmarks. This framework offers a replicable methodology capable of generating empirically grounded, behavior-based data for theory-building and validationI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.



