Latent profiles of job demands and job resources and their association with work wellbeing among nurses in South Korea [PDF]
Scientific ReportsThe identification of underlying profiles of nurses exhibiting different patterns of job demands (JD) and job resources (JR) is critical for developing targeted interventions that promote healthy work practices and enhance overall well-being within the ...
Igor Portoghese, Ari Min, Maura Galletta
doaj +4 more sources
Future Job Profile at Smart Factories [PDF]
Managing Global Transitions, 2018 In this paper, we focus on future job profiles at smart factories. We conducted a case study from the Slovene automotive industry, because this industry is one of the first to adopt the guidelines of Industry 4.0 and has already started transforming ...
Andrej Jerman +3 more
doaj +3 more sources
Profiles of job satisfaction among industrial workers and its association with mental health under the background of Industry 5.0 transformation: a latent profile analysis [PDF]
Frontiers in Public HealthBackgroundJob satisfaction is a critical factor influencing workplace efficiency and employee well-being. In the context of Industry 5.0 transformation, understanding the latent profiles of job satisfaction and their relationship with mental health ...
Shang Gao +5 more
doaj +2 more sources
Job-search self-efficacy in unemployed individuals with mental health issues: investigating the role of self-stigma with variable-centered and person-centered approaches [PDF]
BMC PsychologyBackground Unemployed individuals with mental health issues frequently struggle to find re-employment. The relevance of self-stigma, that is, applying public stigma toward mental health issues to oneself, has been under-researched in this context, but ...
Svenja Schlachter +8 more
doaj +2 more sources
Should I stay, or should I quit? The effect of bullying, emotional exhaustion and work engagement in public healthcare workers: a latent profile analysis. [PDF]
Journal for Person-Oriented ResearchThe aim of this study was to identify profiles of workplace bullying, emotional exhaustion, and work engagement in a sample of public healthcare workers in Italy.
Francesco Buscema +3 more
doaj +2 more sources
Job Training: Costs, Returns, and Wage Profiles [PDF]
, 1991 Using information on time costs of training and gains in wages attributable to training, I computed rates of return on training investments. The upper range of estimates based on several data sets generally exceeds the magnitudes of rates of return usually observed for schooling investments.
Jacob Mincer
openaire +3 more sources
Potential profile analysis and influencing factors of physical nurse job embedding [PDF]
Frontiers in Health ServicesObjectiveThis study aims to analyze the latent profiles of job embeddedness among physical examination nurses and their influencing factors, providing a scientific basis for nursing talent management.MethodsUsing convenience sampling, 150 physical ...
Gan Jingjing, Zhang Zhi, Cao Yueping
doaj +2 more sources
Cogent Psychology, 2022 This study aimed to identify job embeddedness profiles of employees in a paper manufacturing organization in South Africa and examine the associations between these profiles and employees’ relations with supervisors and their job satisfaction and work ...
Mateboho Ramaite +2 more
doaj +1 more source
Marco Ontológico para la Gestión de Perfiles de Cargos basada en Competencias Laborales (Ontological Framework for the Management of Job Profiles based on Labor Competencies) [PDF]
GECONTEC: Revista Internacional de Gestión del Conocimiento y la Tecnología, 2017 Resumen Debido a los cambios constantes producidos en el entorno, las organizaciones deben adaptarse a los avances tecnológicos y variaciones causadas en los procesos asociados.
franklin jose sandoval +1 more
doaj +4 more sources
Job Recommendation based on Job Profile Clustering and Job Seeker Behavior
Procedia Computer Science, 2020 Abstract This article presents a recommender system that aims to help job seekers to find suitable jobs. First, job offers are collected from job search websites then they are prepared to extract meaningful attributes such as job titles and technical skills. Job offers with common features are grouped into clusters.
D. Mhamdi +4 more
openaire +1 more source