Documents job content 58 results

"This paper addresses the role of technology in shaping worker-level task prices, exploiting within-occupation variation using a unique survey linked to administrative data for over 180,000 Dutch workers between 2014 and 2020. Nonroutine and interactive tasks are related to wage premia, and routine tasks to wage penalties. However, these task returns vary according to exposure to the types of (new) technology, such as computers, robots, and artificial intelligence. Overall, wages are higher in technology-intensive industries, but newer technologies target non-routine tasks differently. This may have profound implications for the nonroutine wage premium given the rise of artificial intelligence."

This work is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

"Technological change has led to a decline in the share of routine and physical jobs, and a rise in the share of abstract and social ones at the economy level. However, much less is known about how these trends unfold at the individual level. Do workers' tasks become more or less routine and physical? Do workers shift towards more social and abstract activities? This paper is the first to explore these questions in the context of robotization. We use survey data from 20 European countries to develop worker-level indices of physical, routine, abstract and social tasks, which we link to industry-level robotization exposure. Using instrumental variable techniques, we find that robotization reduces physically demanding tasks but increases routine tasks, while also limiting opportunities for cognitively challenging work and human interaction. This study provides a worker-centric perspective on the relationship between technology and task composition, revealing insights that aggregate analyses miss."

This work is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

"Work modification is considered as an essential element in enhancing return to work (RTW) among persons with musculoskeletal problems although systematic reviews have called for more studies and pointed out that the net gain in sickness absence days has been only modest and economic effects uncertain. Loisel and his co-workers showed for the first time that an occupational intervention – and especially an occupational intervention combined with a clinical intervention – was associated with a faster RTW compared with clinical intervention alone or usual care. The developed Sherbrooke model has been tested with a randomized controlled trial (RCT) in the Netherlands. Workers sick-listed for 2–6 weeks due to low-back pain (LBP) were first randomized into a workplace intervention or usual care, and those who had not returned to work by 8 weeks were further randomized to graded activity or usual care. ..."

"Objectives The main goal of this study was to identify work-related risk factors for the onset of interpersonal conflicts at work.Methods Longitudinal data from the Maastricht Cohort Study on “fatigue at work” (N=9241) were used. After the respondents who reported an interpersonal conflict at baseline were excluded, logistic regression analyses were used to determine the role of several work-related risk factors at baseline in the onset of a conflict with coworkers or supervisors after 1 year of follow-up.Results Higher psychological job demands, higher levels of role ambiguity, the presence of physical demands, higher musculoskeletal demands, a poorer physical work environment, shift work, overtime, and higher levels of job insecurity significantly predicted the onset of both a coworker conflict and a supervisor conflict. Higher levels of coworker and supervisor social support, more autonomy concerning the terms of employment, good overall job satisfaction, monetary gratification, and esteem reward significantly protected against the onset of both a coworker conflict and a supervisor conflict. Higher levels of decision latitude and more career opportunities also significantly protected against the onset of a supervisor conflict.Conclusions Several factors in the work environment were related to the onset of interpersonal conflicts at work. Given the rather serious consequences of interpersonal conflicts at work with respect to health and well-being, the observed risk factors can serve as a starting point for effective prevention and intervention strategies in the workplace."

"How does Artificial Intelligence (AI) affect the task content of work, and how do workers adjust to the diffusion of AI in the economy? To answer these important questions, we combine novel patent-based measures of AI and robot exposure with individual survey data on tasks performed on the job and administrative data on worker careers. Like prior studies, we find that robots have reduced routine tasks. In sharp contrast, AI has reduced non-routine abstract tasks like information gathering and increased the demand for 'high-level' routine tasks like monitoring processes. These task shifts mainly occur within detailed occupations and become stronger over time. While displacement effects are small, workers have responded by switching jobs, often to less exposed industries. We also document that low-skilled workers suffer some wage losses, while high-skilled incumbent workers experience wage gains."

"Work meaning can be an important driver of labor supply. Since, by definition, work meaning is associated with benefits for others, it also has an important fairness dimension. In a theoretical model, we show that workers' willingness to pay for work meaning can be positive or negative, depending on the relative strength of fairness concerns and meaning preferences. To examine the importance of these behavioral motives for labor supply, we conduct a survey experiment with representative samples from the Netherlands and Germany in which we vary within-subject the benefits that a job creates for others. We find that only a minority of workers are actually willing to sacrifice wage for work meaning. The average willingness to pay for work meaning is positive, but substantially lower than the willingness to pay for job flexibility. There is a strong negative relationship between fairness concerns and willingness to pay for work meaning. Thus, individuals who prioritize fairness are less likely to accept lower wages for meaningful work."

"This paper develops a task-adjusted, country-specific measure of workers' exposure to Artificial Intelligence (AI) across 108 countries. Building on Felten et al. (2021), we adapt the Artificial Intelligence Occupational Exposure (AIOE) index to worker-level PIAAC data and extend it globally using comparable surveys and regression-based predictions, covering about 89% of global employment. Accounting for country-specific task structures reveals substantial cross-country heterogeneity: workers in low-income countries exhibit AI exposure levels roughly 0.8 U.S. standard deviations below those in high-income countries, largely due to differences in within-occupation task content. Regression decompositions attribute most cross-country variation to ICT intensity and human capital. High-income countries employ the majority of workers in highly AI-exposed occupations, while low-income countries concentrate in less exposed ones. Using two PIAAC cycles, we document rising AI exposure in high-income countries, driven by shifts in within-occupation tasks rather than employment structure."

"Les recherches sur le choix de demeurer dans un emploi sont peu nombreuses ou traitent ce sujet à travers des modèles sur le roulement de personnel (turnover), considérant que les mêmes déterminants influencent de manière opposée l'intention de rester ou de quitter. De plus, à l'exception notable de Cossette et Gosselin (2012), les chercheurs ne traitent que le choix de rester dans l'entreprise, mêlant dans la même variable expliquée le choix de rester dans un emploi et celui de la mobilité intra-organisationnelle.Cette recherche poursuit deux objectifs: 1- identifier des concepts associés au souhait de rester dans son emploi; 2- explorer les relations entre les variables identifiées et le désir de rester. L'apport de cette recherche est double. Il s'avère tout d'abord théorique puisque nous avons identifié les variables associées au souhait de rester dans un emploi. Les résultats obtenus permettent de proposer un modèle théorique décrivant les relations entre trois groupes de variables (identification, contextes personnel et au travail) et le souhait de rester. Nous montrons, en particulier, l'influence probable des variables d'identification au contenu du travail sur le souhait de rester dans l'emploi, réalité rarement prise en compte dans les analyses sur ce sujet, que nous définissons comme un état où un salarié établit une équivalence entre ce qu'il est et ce qu'il fait. Cette identification est obtenue suite aux succès obtenus par la personne, qui lui indiquent ses compétences et lui procurent un sentiment d'efficacité, source de fierté. Le second apport de cette recherche est méthodologique. Il semble fécond d'associer une analyse des entretiens, appliquant les principes de la théorie enracinée, à un traitement statistique de type analyse des correspondances multiples, peu connu des chercheurs anglosaxons."