Factors associated with work ability among employees of an Italian university hospital.

Background: A growing body of evidence clearly documents the benefits of integrated systems approaches to protecting and promoting the safety, health and well-being of workers. The purpose of this study is to provide a holistic view of the work ability of employees of an Italian University Hospital measuring their resources in relation to job demands. In particular, it examines socio-demographics, family and organizational antecedents of health professionals' work ability.

Performance Appraisal and Innovative Behavior in the Digital Era.

In digital competitive environments, organizations' ability to innovate is more than ever the key to competitive advantage. One way to cope with this increased pressure for innovation is to capitalize on employees' ability to generate new ideas and use these as building blocks for new and better products, services, and work processes. Individual innovation thus emerges as a key competence required from workers, in turn crucially affecting the way managers make employees contribute to organizational goals and assess their performance.

[Job satisfaction in an Italian university: difference between academic and technical-administrative staff].

Objective: The changes in the academic world led to an increase in job demands and a decrease in the available job resources. In recent years, the positive image of work in academia has gradually blurred. The present study, within the theoretical framework of the job demands-resources model, aimed to analyse the relationship between some job demands (workload, work-family conflict and emotional dissonance) and some job resources (autonomy, supervisors' support and co-workers' support) and job satisfaction in a medium-sized Italian University, by observing the differences between the academic staff (professors and researchers) and the technical-administrative staff

Methods: The research was conducted by administering a self-report questionnaire which allowed to detect job satisfaction and the mentioned variables.