Stress-Preventive Management Competencies

Definition: Work-related stress is a critical issue that demands prevention strategy and continuous monitoring due to its widespread influence on workers, businesses, and the global economy. The primary drivers of employees’ work-related stress are psychosocial risks, which arise when key work characteristics—such as job demands, autonomy, or role clarity—are mismanaged, leading to harmful consequences. Conversely, effectively managing these factors can promotes well-being and performance. Supervisors play a central role in this dynamic process of either mitigating or exacerbating psychosocial working conditions. As such, stress-preventive management competencies (SPMCs) are essential for promoting employee and organisational health. SPMCs refer to a set of supervisory behaviours—including planning, organising, setting objectives, and creating and monitoring systems—that contribute to a positive perception of the psychosocial work environment among employees. This entry, by approaching the existing literature on work stress models, psychosocial perspectives, and related management competencies frameworks, aims to provide a comprehensive overview of SPMCs, identifying key insights and proposing directions for future research

ITALIAN ADAPTATION OF WARR’S JOB-RELATED AFFECTIVE WELL-BEING SCALE: FACTORIAL STRUCTURE AND RELATIONSHIPS WITH THE HSE MANAGEMENT STANDARDS INDICATOR TOOL

Standardized methodological frameworks including the UK Health and Safety Executive Manage-ment Standards (HSE-MS) have been proposed to aid comparison across organizations in quantifying job stressors. In contrast, the measurement of job strain (and job-related well-being) has been character-ized by lower standardization, resulting in multiple conceptualizations and indicators. Here, we evaluated the psychometrics of the Italian adaptation of Warr’s (1990a) Job-related Affective Well-being Scale (W-JAWS), and its suitability as a job strain indicator to be integrated with the HSE-MS approach. In line with previous studies, data from 541 civil servants supported a 4-factor measurement model (i.e., Anxi-ety, Comfort, Depression, and Enthusiasm), and highlighted linear relationships with multiple HSE-MS risk indicators (i.e., Demand, Control, Peer Support, Change, and Role). Overall, our findings qualify the W-JAWS as a suitable standardized job strain indicator tool, which could be used synergically within the HSE-MS approach to provide comparable results across organizations and countries

Digital Stress-Preventive Management Competencies: Definition, Identification and Tool Development for Research and Practice

The digital transformation of work and the rise of remote workers (RWs) are gaining growing interest in occupational health science. However, research on managers’ role in well-being can be developed more. Aiming to bridge this gap, this study first defines and explores the Digital Stress-Preventive Management Competencies (DMCs) and then develops and validates an indicator tool with a three-phase procedure. Phase 1 consisted of a literature review and interviews with experts to identify DMCs, followed by item generation, content analysis and competencies conceptualization. Phase 2 was devoted to tool validation, comprising exploratory and confirmatory factor analysis with 247 RWs. Phase 3 explored the concurrent validity by investigating the relationship between DMCs and psychosocial factors via structural equation modeling (sample Phase 2) and polynomial regression with response surface analysis on 50 manager–team dyads (RWs 218). Two key competencies were identified: supportive ICT-mediated interaction (SIMI) and avoidance of abusive ICT adoption (AAIA). The final nine-item tool revealed a two-factor structure and good psychometric properties. SIMI was associated with superior support and role, while AAIA was linked to demands and control reported by RWs. These findings suggest that the DMCs identified and the related tool have potential applications in future organizational intervention content and for research purposes

Stakeholder analysis for sharing agro-environment issues toward concerted action: a case study on diffuse nitrate pollution

There is increasing need for participatory approaches to support the development of sustainable farming systems, based on the active involvement of stakeholders in the definition of research objectives and priorities. This paper reports the experience of a team of agronomy researchers involved in the SLIM project (http://slim.open.ac.uk), around a case study of nitrate pollution. The agro-ecosystem analysis included biophysical processes at microcatchment scale and the stakeholders' perceptions, interests and practices related to the nitrate issue (stakeholders analysis). The conceptual SLIM framework model supported new interactions among stakeholders, that were facilitated by researchers, using dialogical tools to enable them to use scientific data and to integrate their own knowledge on the farming system. The agro-environment policies, based on compulsory prescriptions, revealed weak assumptions and insufficient integration of scientific knowledge. The stakeholder analysis contributed to the identification of priorities both for scientific research and agro-environment policies. Researchers provided the site-specific scientific knowledge, in a way that enabled stakeholders to identify the relationships between agricultural practices, landscape values and the nitrate pollution issue and to elaborate shared strategies to develop concerted actions. New spaces for interaction between researchers and stakeholders should be created to face complex agro-environment issues at catchment scale, such as the nitrate pollution of groundwater. The implication for agronomy research is that the experiments should be designed to produce suitable results to facilitate participatory sessions and that it is worthwhile to invest in specific skills of communication science and group dynamics management within the agronomy researchers' community, in order to integrate agronomy knowledge into high quality participatory processes

Stakeholder Analysis for Sharing Agro-environment Issues Towards Concerted Action: A Case Study on Diffuse Nitrate Pollution

There is increasing need for participatory approaches to support the development of sustainable farming systems, based on the active involvement of stakeholders in the definition of research objectives and priorities. This paper reports the experience of a team of agronomy researchers involved in the SLIM project (http://slim.open.ac.uk), around a case study of nitrate pollution. The agro-ecosystem analysis included biophysical processes at microcatchment scale and the stakeholders' perceptions, interests and practices related to the nitrate issue (stakeholders analysis). The conceptual SLIM framework model supported new interactions among stakeholders, that were facilitated by researchers, using dialogical tools to enable them to use scientific data and to integrate their own knowledge on the farming system. The agro-environment policies, based on compulsory prescriptions, revealed weak assumptions and insufficient integration of scientific knowledge. The stakeholder analysis contributed to the identification of priorities both for scientific research and agro-environment policies. Researchers provided the site-specific scientific knowledge, in a way that enabled stakeholders to identify the relationships between agricultural practices, landscape values and the nitrate pollution issue and to elaborate shared strategies to develop concerted actions. New spaces for interaction between researchers and stakeholders should be created to face complex agro-environment issues at catchment scale, such as the nitrate pollution of groundwater. The implication for agronomy research is that the experiments should be designed to produce suitable results to facilitate participatory sessions and that it is worthwhile to invest in specific skills of communication science and group dynamics management within the agronomy researchers' community, in order to integrate agronomy knowledge into high quality participatory processes

Neural control and innate self-tuning of the hair cells active process.

We propose a model for the feedback control processes that underlie the robustness and high sensitivity of mechanosensory hair cells. Our model encompasses self-tuning active processes intrinsic to these cells, which drive the amplification of mechanical stimuli by consuming metabolic energy, and a neural input process that protects these cells from damage caused by powerful stimuli. We explore the effects of these two feedback mechanisms on mechanical self-oscillations of the sense cells and their response to external forcing

Architettura e risorse locali: il caso di una spice processing unit a Buttala, Sri Lanka

Lo Sri Lanka è considerato un paese in via di sviluppo a causa della sua condizione economica instabile ed alla bilancia commerciale negativa. I principali paesi importatori sono India e Cina e la loro presenza è evidente nel settore edile. In tutta l’isola si nota un gran utilizzo di acciaio e cemento per le costruzioni, il che dimostra che la presenza sul territorio è tanto ampia da essere disponibili a prezzi bassi ma con conseguenza per l’ambiente. India e Cina non hanno politiche ambientali e la produzione di acciaio in questi paesi è tra le più inquinanti del pianeta. Con l'aggiunta che non sono materiali naturali e lo smaltimento è un problema. Tra le risorse lo Sri Lanka ha il bambù, un materiale utilizzato in campo edile, ma oggi nel paese è limitato ad utensili. Sono presenti 14 specie sul territorio tra le quali il Dendrocalamus Giganteus, adatta all’uso strutturale. Il governo singalese si sta impegnando a stabilizzare l’economia con investimenti, sta promuovendo, attraverso programmi mirati, lo sviluppo del bambù per far crescere i piccoli villaggi e famiglie rurali e per avere quantità tali da poter garantire un certo rendimento dalle esportazioni. Il fine di questa tesi sarà quello di rivisitare il progetto di una Spice Processing Unit che ad oggi risulta costruita nel villaggio di Buttala, nella provincia di Uva. Il progetto è stato commissionato allo studio ArCò di Milano e realizzato con mattoni in cemento e travi e lamiera di acciaio. L’obiettivo sarà quello di riproporre un nuovo edificio dopo aver analizzato accuratamente: lo stato socio-economico dello Sri Lanka, le risorse in campo edile ed agire sulla base dei principi di architettura sostenibile. Non ci si focalizzerà su un sistema tecnologico ma sul modo di agire, tale che possa essere replicato con facilità. Si punterà sull’utilizzo del bambù come materiale strutturale per l’edificio, con analisi dell’impatto ambientale tra l’edificio costruito e quello rivisitato nel progetto di tesi

Assessing the risk of stress in organizations:Getting the measure of organizational-level stressors

Great Britain’s Health and Safety Executive (HSE) developed the Management Standards Indicator Tool to help organizations to assess and monitor organizational risks of work-related stress through surveying employees about the psychosocial risks for stress in their jobs. The use of employee-level data for deriving an organizational-level measure of psychosocial risks assumes that the constructs have equivalent meanings at different levels. However, this isomorphic condition has never been tested and this study fills this gap. Using data collected by the Italian Workers’ Compensation Authority (INAIL) from 66,188 employees nested in 775 organizations, we demonstrate that the organizational-level measure representing the seven dimensions of the Management Standards Indicator Tool is equivalent, though not identical, to the individual-level measure. This implies that the organizational level is not a mirror of the aggregation of the individual level, and that the risk of work-related stress in an organization may derive not simply from bottom-up processes, but may be generated by top-down influences (e.g., organizational policies). Interventions may then be meaningfully targeted at the organizational level in the expectation that they will reduce the risk of work-related stress among the entire workforce, the valid measurement of which can be performed through the HSE’s Management Standards Indicator Tool

Developing Parameter-Reduction Methods on a Biophysical Model of Auditory Hair Cells

Biophysical models describing complex, cellular phenomena typically include systems of nonlinear differential equations with many free parameters. While experimental measurements can fix some parameters, those describing internal cellular processes frequently remain inaccessible. Hence, a proliferation of free parameters risks overfitting the data, limiting the model's predictive power. In this study, we develop robust methods, applying statistical analysis and dynamical-systems theory, to reduce a biophysical model's complexity. We demonstrate our techniques on an elaborate computational model designed to describe active, mechanical motility of auditory hair cells. Specifically, we use two statistical measures, the total-effect and PAWN indices, to rank each free parameter by its influence on selected, core properties of the model. With the resulting ranking, we fix most of the less influential parameters, yielding a low-parameter model with optimal predictive power. We validate the theoretical model with experimental recordings of active hair-bundle motility, specifically by using Akaike and Bayesian information criteria after obtaining maximum-likelihood fits. As a result, we determine the system's most influential parameters, which illuminate its key biophysical elements of the cell's overall features. While we demonstrated our techniques on a concrete example, they provide a general framework, applicable to other biophysical systems

Los docentes universitarios y su tarea en el aula taller del diseño industrial

El siguiente ensayo explicita la labor del docente universitario y su rol en el aula taller, en la carrera de diseño industrial