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1 – 2 of 2Sahar Daghagh Yazd, Mehmet Akif Karaman, Salma Fathi, Areej Alsarraf, Shaikhah Alajmi, Sahab Rutabian and Manya Aladwani
This study aims to explore how factors such as working conditions, lifestyle choices and demographic characteristics may affect the mental health of industrial workers in Kuwait.
Abstract
Purpose
This study aims to explore how factors such as working conditions, lifestyle choices and demographic characteristics may affect the mental health of industrial workers in Kuwait.
Design/methodology/approach
Within the scope of the study’s objective, the authors reached 400 industrial workers (228 male, 172 female) working in oil and gas organizations in Kuwait. An ordered logistic regression model was conducted to examine the effect of relevant independent variables on workers’ mental health.
Findings
Result indicated that employees with a lower education level (p-value = 0.015), employees who were smokers (p-value = 0.004) and employees with night shifts (p-value = 0.019), were more likely to experience mental health issues. Furthermore, result strongly highlights a higher chance of experiencing mental health problems among the workers who had longer working times (p-value = 0.000). On the other hand, having children (p-value = 0.042), visiting a mental health professional (p = 0.014) and living in a house with others (flat mate, family members, etc.) (p-value = 0.016) were statistically significant factors to improve employees’ mental health. Surprisingly, the authors’ research did not find a significant relationship between the mental health issues experienced by employees and their yearly income.
Originality/value
The paper lies in its exploration of the impact of working conditions, lifestyle choices and demographic factors on mental health of industrial workers using statistical approach. By applying ordered logistic regression, this study uncovers new insights into mental health of industrial workers.
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Keywords
Ruchi Payal, Salma Ahmed and Roma Mitra Debnath
The purpose of this paper is to explore the dynamic relationships among the essential knowledge management (KM) constructs, i.e. strategy, enablers and processes, and to establish…
Abstract
Purpose
The purpose of this paper is to explore the dynamic relationships among the essential knowledge management (KM) constructs, i.e. strategy, enablers and processes, and to establish their links to organizational performance using a holistic integrated model.
Design/methodology/approach
The structural equation modeling approach was used in the research study. The primary data were collected from IT managers in Indian software firms.
Findings
The study successfully tested an integrated KM model in an Indian scenario. The study found that the KM strategy, enablers and processes had a significant positive relationship with the organizational performance. An appropriately designed KM strategy significantly influenced the KM enablers and KM process. KM enablers nurtured in an organization positively impacted the KM process. Furthermore, the KM process partially mediated the relationship between the KM strategy and organizational performance, and partially mediated the relationship between KM enablers and organizational performance.
Originality/value
This study is one of the few to empirically establish how the essential KM constructs of strategy, enablers and processes together impact organizational performance.
Details