Annexes : bibliographie

Résumé : This study explores how technological transformation affects outcomes related to skills matching among white- and blue-collar workers. We conceptualise technological transformation as the relationship between knowledge inputs and innovation outputs, stressing the role of the Learning capacity of the organisation in reducing the burden on workers who need to develop new skills and competencies to adapt to technological changes.Technological revolutions usually raise concerns about job displacement and inequalities. However, the predicted massive skills and job destruction due to automation, robotics and AI has not yet materialised. Empirical analyses increasingly suggests that technology tends to automate specific tasks rather than entire occupations. Digital transformation is nevertheless profoundly reshaping work practices and job content (Cedefop, 2022), affecting workers across all occupational ranks and all sectors. Hence, the transition towards more digitally oriented production systems carries a significant risk of skills mismatches and highlights the need for substantial reskilling of more vulnerable workers. This evidence calls for a massive reorientation of the education system and for a more intensive focus on vocational training and lifelong learning programs. But what role can organisations play in facilitating a smoother and more inclusive transition ?... [premières lignes]