As organizational environment develops, the working environment increases in physical and mental demands. As a result, risk inadvertences could arise, along with organizational emotional and financial challenges. Within their efforts to diminish such risks, organizations strive for developing and training their workforce; a sustainable workforce can only be achieved through cultivating aptitudes and positive attitudes that will lead to organizational but also personal growth. Considered to be an important measuring instrument for social sustainability, workforce sustainability enhances organizational leadership projections and trajectories, along with digitalization initiatives. The aim of the current study is the development of an assessment tool for state and private organizational workforce sustainability, and to study it in relation to leadership and digitalization components. Through a quantitative approach, data was gathered by issuing an online survey that delivered 463 responses. By using structural equation modelling, the authors examined the aims and found that the designed workforce sustainability tool is reliable and valid; as predicted, all the leadership components contribute to organizational stability and a more favorable workforce sustainability development, along with enhancing digital learning. This study stresses the importance for state and private organizations to achieve workforce sustainability, while nurturing and providing the necessary tools for the development of leadership and digital learning.
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http://dx.doi.org/10.3390/ijerph20021360 | DOI Listing |
BMC Public Health
January 2025
Erasmus School of Social and Behavioural Sciences, Erasmus University Rotterdam, Burgemeester Oudlaan 50, 3062 PA, Rotterdam, The Netherlands.
Background: Previous studies have advocated the benefits of resilience-based interventions for creating a healthy and sustainable workforce. However, resilience is defined and measured in diverse ways. Therefore, the aim of this systematic review is (1) to identify how resilience is defined within different workplace interventions, translated into intervention content, and measured in these interventions; and (2) to synthesize the effectiveness of these interventions.
View Article and Find Full Text PDFCureus
December 2024
Public Health, Saudi Electronic University, Dammam, SAU.
Saudi Arabia prioritises primary healthcare reform to address challenges like population growth, high demand, high costs, and unequal access. The 2030 vision aims to integrate and maintain primary healthcare centre (PHC) services, while the healthcare privatisation plan seeks to modernise and expand primary care, medical cities, and dialysis centres. A search was run on different databases, and 18 studies were included in the review based on inclusion and exclusion criteria.
View Article and Find Full Text PDFAim: To discuss inter-organisational collaboration in the context of the successful COVID-19 vaccination programme in North Central London (NCL).
Design: An action research study in 2023-2024.
Methods: Six action research cycles used mixed qualitative methods.
Vet Sci
January 2025
Sydney School of Veterinary Science, University of Sydney, Camperdown, NSW 2006, Australia.
There is a global veterinary workforce shortage, particularly in rural and regional areas. In response to this shortage in New South Wales (NSW), the State Parliament launched a Parliamentary Inquiry in 2023. The Inquiry received 205 publicly available written submissions, providing insights into the perceived challenges and barriers for veterinarians working in rural practice, and how the perceived impact of the feminisation of the workforce interacts with this.
View Article and Find Full Text PDFJ Environ Manage
January 2025
Geotechnologies in Soil Sciences Research Group - GeoCiS, Department of Soil Science, Luiz de Queiroz College of Agriculture - Esalq, University of São Paulo - USP, Piracicaba, São Paulo, Brazil. Electronic address:
Analyzing soil in large and remote areas such as the Amazon River Basin (ARB) is unviable when it is entirely performed by wet labs using traditional methods due to the scarcity of labs and the significant workforce requirements, increasing costs, time, and waste. Remote sensing, combined with cloud computing, enhances soil analysis by modeling soil from spectral data and overcoming the limitations of traditional methods. We verified the potential of soil spectroscopy in conjunction with cloud-based computing to predict soil organic carbon (SOC) and particle size (sand, silt, and clay) content from the Amazon region.
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