Mining safely: Examining the moderating role of safety climate on mineworkers\u27 mental health and safety behavior nexus

Purpose: The study aims to investigate the impact of anxiety and depression (dimensions of mental health) on mineworkers\u27 safety behaviors (safety compliance and safety participation) while examining the moderating role of safety climate on these relationships. Design/methodology/approach: A quantitative research approach with an explanatory cross-sectional survey research design was adopted. A total of 274 purposively selected mineworkers participated in the study. Responses were obtained from participants through a structured questionnaire which was analyzed using the partial least square structural equation modeling. Findings: Anxiety had a significant negative effect on safety compliance but not participation. However, depression was found to have a significant negative effect on both mineworkers\u27 safety compliance and participation behaviors. The findings of the study also show that safety climate moderates the relationships between the dimensions of mental health and mineworkers\u27 safety behavior except for the relationship between anxiety and mineworkers\u27 safety participation behavior. Originality/value: The study offers an account of the negative effect of mental health on mineworkers\u27 safety behavior whiles highlighting that safety climate is an important construct to mitigate the negative effects of mental illness on the safety behaviors of mineworkers. © 2023, Emerald Publishing Limited

Drug abuse and suicidal thoughts among employees: an emerging economy perspective

Purpose: Anchored with turbulence emanating from the COVID-19 pandemic, the work environment has become more stressful with debilitating effects on the well-being of employees. Employees rely on varying means of coping including drug abuse. However, the association between drug abuse and suicidal thoughts among employees in Ghana is unknown. Therefore, this study sought to examine the relationship between drug abuse and suicidal thoughts among employees in Ghana. Design/methodology/approach: In a cross-sectional survey, this study purposively sampled 470 employees from three sectors of the Ghanaian economy (telecommunication, banking and manufacturing). The data was analysed using the multivariate analysis (MANOVA), Pearson’s r test and hierarchical regression. Findings: Analysis of data revealed a positive relationship between drug abuse and suicidal thoughts, indicating that drug abuse is a risk factor for suicidal thoughts. Besides, it was also revealed that banking sector employees have a higher risk of having suicidal thoughts than employees in the telecommunication and manufacturing sectors. Practical implications: Managers of organisations need to redesign work to embrace the challenging circumstances brought about as a result of COVID-19 and post-COVID implications. The work environment needs to be more supportive to shield employees from the physical and emotional demands of work during and after this period of the COVID-19 pandemic. Today than ever, investment in the implementation of employee-assisted programmes (EAPs) and employee well-being programmes (EWPs) to equip employees with the needed skills to cope with stressful conditions has been more than justified. Originality/value: From a broader perspective, this study identifies drug abuse as a key risk factor for suicidal thoughts among employees, thereby highlighting the fact that smoking cessation programs and drug management therapies are an integral part of well-being programmes aimed at establishing equilibrium and gradually creating a wide gap between employees and suicidal thoughts

Passive video forgery detection techniques: a survey

Technological advancement of various video and image processing tools has made tempering of digital video easy and faster. This review paper focuses on passive techniques that are employed for detecting forgeries in a digital video. Passive forgery detection techniques are methods used for detecting the authenticity of a video without depending on pre-embedded information. The techniques exploit the use of statistical or mathematical properties that are distorted as a result of video tempering for forgery detection. Passive video forgery detection approach has a great prospect in multimedia security, information security and pattern recognition. In this paper, we divide passive techniques for video forensics into three categories; Statistical correlation of video features, frame-based for detecting statistical anomalies, and the inconsistency features of different digital equipment. The discussion also covers the trends, limitations and idea for improvements of passive forgery detection technique