Digital transformation is profoundly reshaping professional service firms, affecting the nature of professional work, the role of technology, and the mechanisms through which value is created. Although the literature has extensively examined the effects of digitalisation on professional activities and organisational models, the role of professional training in the governance of these transformations remains relatively underexplored. This study addresses this gap by conceptualising training not merely as an individual investment in human capital, but as an organisational mechanism that influences professional judgement and the strategic adaptability of organisations. Drawing on a qualitative, theory-driven comparative multiple-case study of 30 Italian accounting firms undergoing digital transformation and based on semi-structured interviews, the study highlights the existence of a systematic trade-off between shortterm efficiency and medium- to long-term adaptability. The findings show that training pathways primarily focused on procedural knowledge foster rapid initial productivity but tend to reinforce technological dependence and limit the ability to address non-standard situations. By contrast, the integration of theoretical and conceptual content in training supports the development of professional judgement, mitigates automation bias, and contributes to the evolution of the service model. The study contributes to the literature on professional service firms and digital transformation by showing how training can be interpreted as a mechanism of cognitive governance and, more specifically, as a driver of different knowledge structures shaping technological adaptation trajectories in knowledge-intensive organisations.
Professional Training as a Mechanism of Cognitive Governance in Digital Transformation: A Comparative Multiple-Case Study of Italian Accounting Firms / Gritta, F., Hysa, X., Bianco, R., Calabrese, M.. - In: CORPORATE GOVERNANCE AND RESEARCH & DEVELOPMENT STUDIES. - ISSN 2723-9098. - (2026), pp. 111-135.
Professional Training as a Mechanism of Cognitive Governance in Digital Transformation: A Comparative Multiple-Case Study of Italian Accounting Firms
Hysa, X.;Calabrese, M.
2026
Abstract
Digital transformation is profoundly reshaping professional service firms, affecting the nature of professional work, the role of technology, and the mechanisms through which value is created. Although the literature has extensively examined the effects of digitalisation on professional activities and organisational models, the role of professional training in the governance of these transformations remains relatively underexplored. This study addresses this gap by conceptualising training not merely as an individual investment in human capital, but as an organisational mechanism that influences professional judgement and the strategic adaptability of organisations. Drawing on a qualitative, theory-driven comparative multiple-case study of 30 Italian accounting firms undergoing digital transformation and based on semi-structured interviews, the study highlights the existence of a systematic trade-off between shortterm efficiency and medium- to long-term adaptability. The findings show that training pathways primarily focused on procedural knowledge foster rapid initial productivity but tend to reinforce technological dependence and limit the ability to address non-standard situations. By contrast, the integration of theoretical and conceptual content in training supports the development of professional judgement, mitigates automation bias, and contributes to the evolution of the service model. The study contributes to the literature on professional service firms and digital transformation by showing how training can be interpreted as a mechanism of cognitive governance and, more specifically, as a driver of different knowledge structures shaping technological adaptation trajectories in knowledge-intensive organisations.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


