This study aims to highlight the importance of evaluating explosive atmosphere (ATEX) risks and to
propose a novel, more accurate and comprehensive risk assessment method compared to traditional existing
approaches. To address the limitations of traditional ATEX risk assessment methods, this study introduces a new
approach based on three key parameters: occurrence, detection, and severity. These factors are combined using
a weighted sum (WS) formula to calculate a modified risk priority number (RPN), enhanced by the analytic
hierarchy process.
This hybrid methodology provides a more precise and reliable assessment of ATEX risks. Moreover, the
findings of the proposed WS-RPN method (and its ATEX-specific version, WS-RATEX) demonstrate superior
accuracy and lower duplication rates compared to conventional risk assessment techniques. A sensitivity
analysis confirms the robustness, stability, and reliability of this approach, making it a valuable tool for
quantifying ATEX risks.
It is evident to say that WS-RPN represents a significant advancement in ATEX risk assessments. By
integrating a refined calculation model, and factoring in occurrence, detection, and severity, the latter ensures
a more systematic and reliable evaluation. Thus, with improved risk prioritization, this approach not only enhances
industrial installations’ safety but also serves as a more effective alternative to traditional assessment methods.

All industrial companies are confronted with recurrent problems that have an impact on their overall performance. Despite this, many companies have not developed strategies for managing these problems. This article illustrates the case of an Algerian company where an organisational management strategy for these recurrent problems is proposed. This strategy focuses on the sustainability of a continuous improvement project to reduce these problems. The expected results of this strategy lie in the gradual elimination of recurrent problems and, consequently, an increase in the efficiency of company processes. Hence, there is the possibility of achieving performance in productivity.

The hospital environment is characterised by stressful situations and constant pressures. Resilience is essential for healthcare professionals to cope with these challenges and maintain their well-being and effectiveness. This study aims to assess the level of resilience and its relationship with sociodemographic factors among healthcare professionals working in hospitals in the Algerian province of Batna. To this end, a cross-sectional survey based on an anonymous, self-administered questionnaire (Resilience Scale-25) was conducted in healthcare settings of Batna-Algeria. Sociodemographic characteristics and resilience attributes were analyzed using descriptive and inferential statistics. The results indicate, on the one hand, a low level of resilience among healthcare professionals (mean RS-25 score = 115.63) and, on the other, a significant relationship between resilience and sociodemographic factors (p <0.05). Consequently, the hospitals studied need to adopt appropriate strategies to continuously improve healthcare professionals' resilience.

The current study examined the association between coping strategies and job burnout among health and safety workers of Algerian petroleum refinery, exploring the moderating effect of COVID-19 threat perception. A cross-sectional study was conducted using a self-administrated structured questionnaire between August 2020 and September 2020 among 100 health and safety workers of an Algerian petroleum refinery. Correlations and Moderated linear regressions were used to analyze the data via SPSS V26 and process macro V3.5.3. Results were significant at CI=0.95 and p ≤0.05. The findings indicate that higher problem-focused strategies have been linked to reduced levels of burnout among health and safety workers (B= -4.225, SE= 1.262, p= .001). In contrast, emotion-focused strategies were not related significantly to burnout. COVID-19 threat perception acts as a moderator and mitigates the significant negative relationship between problem-focused
strategies and job burnout (B= -1.1947; SE= .4720; p= .0130). This study contributes to new theoretical and empirical perspectives on the relevance of effective coping strategies to tackle burnout at the organizational and individual levels during the COVID-19 pandemic.

Background: A positive Patient Safety Culture (PSC) is considered as the main barrier to adverse events (AEs) that affect healthcare quality and safety. Thus, the assessment of PSC became a priority for healthcare providers in order to identify problematic areas that need improvement actions.
Method: A cross sectional multi-center study was conducted to evaluate quantitatively PSC in 10 Algerian healthcare establishments (HEs) within the framework of the Algerian Observatory of Safety Culture (ASCO Project). The French version of the HSOPSC was used as a measurement tool where it was administered to participants (N = 1370) using convenience sampling.
Results: A total of 1118 respondents, all professional categories included, participated in this study. The response rate was estimated at 69% of the sample size (N = 1370). After statistical processing, 950 questionnaires were retained. Internal consistency was above 0.7 for all
dimensions. Problematic PSC dimensions were identified, mainly ‘Non-punitive response to error’, ‘Staffing’ and ‘Communication openness’.
Conclusions: This article sheds light on the critical situation of PSC in the Algerian national health system. Quantitative findings were introduced in the framework of the Algerian Safety Culture Observatory project that will serve as a baseline for different stakeholders to guide long-term promotion actions.

Purpose – The assessment of patient safety culture (PSC) is a major priority for healthcare providers. It is
often realized using quantitative approaches (questionnaires) separately from qualitative ones (patient safety
culture maturity model (PSCMM)). These approaches suffer from certain major limits. Therefore, the aim of the
present study is to overcome these limits and to propose a novel approach to PSC assessment.
Design/methodology/approach – The proposed approach consists of evaluating PSC in a set of healthcare
establishments (HEs) using the HSOPSC questionnaire. After that, principal component analysis (PCA) and
K-means algorithm were applied on PSC dimensional scores in order to aggregate them into macro dimensions.
The latter were used to overcome the limits of PSC dimensional assessment and to propose a
quantitative PSCMM.
Findings – PSC dimensions are grouped into three macro dimensions. Their capitalization permits their
association with safety actors related to PSC promotion. Consequently, a quantitative PSC maturity matrix was
proposed. Problematic PSC dimensions for the studied HEs are “Non-punitive response to error”, “Staffing”,
“Communication openness”. Their PSC maturity level was found underdeveloped due to a managerial style
that favors a “blame culture”.
Originality/value – A combined quali-quantitative assessment framework for PSC was proposed in the
present study as recommended by a number of researchers but, to the best of our knowledge, few or no studies
were devoted to it. The results can be projected for improvement and accreditation purposes, where different
PSC stakeholders can be implicated as suggested by international standards.
Keywords Patient safety culture, PCA, Macro dimensions, HSOPSC questionnaire, Maturity model

Modern approaches to Occupational Health and Safety have acknowledged the important contribution that continuous improvements to working conditions can make to the motivation of employees, their subsequent performance, and therefore to the competitiveness of the company. Despite this fact, organizational change initiatives represent a path less traveled by employees. Specialized literature has drawn on the fact that employees’ satisfaction presents both the foundation and catalyst for effective implementation of improvements to working conditions. Method: This paper conceptualizes the alignment of employees through measurement of job satisfaction and uses the Bayesian Network to assess the influence of human factors, particularly the cognitive, emotional, and behavioral aspects. Toward this aim, the Bayesian Network is evaluated through a cross-validation process, and a sensitivity analysis is then conducted for each influential dimension: emotional, cognitive, and behavioral. Results: The results reveal that these three dimensions are interrelated and have a direct influence on job satisfaction and employees’ alignment during the organization change. Further, they suggest that the best strategy for enhanced alignment and smooth conduct of organizational changes is simultaneous enhancement of the three dimensions. Practical applications: This study shows the influence of emotional, cognitive, and behavioral dimensions on job satisfaction and employees’ alignment during the organizational change. Further, it makes it clear how separate or combined improvements in these dimensions impact the alignment of employees what allows developing efficient and effective strategies for a successful change implementation and sustained alignment.