10 research outputs found

    Skill Gap, Mismatch, and the Dynamics of Italian Companies’ Productivity

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    Relying on a unique integrated database, this work explores the relationship between labour productivity, on one side; intensity and characteristics of companies’ skills need and degree of skill mismatch, on the other. The analysis focuses on a representative sample of Italian limited liability companies observed during the years 2012, 2014 and 2017. First, companies acknowledging the need to update their knowledge base display a higher productivity vis-à-vis other firms. Second, when it comes to the skill need distinguished by competence/knowledge domains (management, STEM, social and soft skills, technical operatives and humanities) it emerges that companies looking for technical operative and social skills show lower labour productivity as compared to other firms. On the contrary, companies characterized by a need in managerial, STEM or humanities-related skills show higher productivity. Third, the ability to match the skill need via new hiring is always positively correlated with firms’ productivity. This result is confirmed across all the adopted specifications

    Skill mismatch and the dynamics of Italian companies’ productivity

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    This work explores the relationship between labour productivity and skill (mis) match relying on a unique database integrating information at both the firm and the worker level. The analysis is based on a novel skill match indicator providing actual and qualitatively detailed information on the demand/supply of skills. Focusing on a sample of Italian limited liability companies observed during 2012, 2014 and 2017, we show that the ability to match their skills need via new hires is always positively correlated to companies’ labour productivity. This result is robust to the inclusion of variables accounting for sectoral-level training intensity, firm-level recruitment behaviour, a capillary set of firm-level controls and across size classes

    Immune Checkpoint Inhibitor-Related Myositis: From Biology to Bedside

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    : Immune checkpoint inhibitor (ICI)-related inflammatory diseases, including polymyositis (PM) and dermatomyositis (DM), in patients suffering from neoplastic disorders represent a medical challenge. The treatment of these conditions has taken on new urgency due to the successful and broad development of cancer-directed immunological-based therapeutic strategies. While primary and secondary PM/DM phenotypes have been pathophysiologically characterized, a rational, stepwise approach to the treatment of patients with ICI-related disease is lacking. In the absence of high-quality evidence to guide clinical judgment, the available data must be critically assessed. In this literature review, we examine partially neglected immunological and clinical findings to obtain insights into the biological profiles of ICI-related PM/DM and potential treatment options. We show that differential diagnosis is essential to stratifying patients according to prognosis and therapeutic impact. Finally, we provide a comprehensive assessment of druggable targets and suggest a stepwise patient-oriented approach for the treatment of ICI-related PM/DM
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