Fatigue is a significant concern in the offshore oil and gas industry, posing risks to both resources and lives. This study aims to assess fatigue levels among daily trippers on offshore platforms and compare them across different job roles. The Offshore Fatigue Assessment Application (OFAA) was developed to measure fatigue in Malaysian offshore workers, focusing on alert response and lapses. A total of 51 participants were involved, with 31 in Crew A and 20 in Crew B. Based on the results, Crew A exhibited fatigue, with only 3 out of 12 data collection points showing an average reaction time (RT) below 500 ms, mainly during post-work periods. Crew B also experienced fatigue, with only 1 out of 12 data collection points showing an average RT below 500 ms, occurring during mid-work. While Crew B displayed fatigue during pre-work and mid-work, they generally maintained alertness during their sessions. Overall, Crew A consistently faced lapses in alertness, while Crew B showed fatigue during pre-work and mid-work but remained alert during their sessions. These findings highlight varying fatigue levels among offshore personnel, emphasizing the need for targeted fatigue management strategies in this industry.

This study delves into the psychosocial hazards encountered by academics in renowned private research-focused universities in Malaysia. The demanding requirements set forth by the Malaysian Ministry of Education (MoHE) for international recognition, rankings, and quality, coupled with the Key Performance Indicator (KPI) expectations, have been observed to induce stress among academics. This research highlights job context as a critical domain encompassing various factors and conditions surrounding academic work. Through a qualitative approach employing the case-study method, data were gathered from seventeen participants via standardised open-ended interviews and analysed thematically using Atlas. ti version 23 analysis software. The findings revealed six significant stress themes within the job context: organisational culture & function, role in the organisation, career development, decision latitude, interpersonal relationships at work, and home interface. Four emerging themes were identified: leadership, performance appraisal exercise, passion & interest, and administration support. These insights shed light on academic challenges within the job context, emphasising the importance of promoting well-being to optimise organisational practices and academic performance and ensure a sustainable career path in academia.

Introduction: Driving fatigue has been shown to increase the risk of accidents and potentially fatal crashes. Fatigue is a serious risk that some drivers do not take seriously. Previous studies investigated the effects of driving fatigue in the Malaysian oil and gas transportation industry by employing survey questionnaires. However, they did not explain the behavior of fatigue. Besides, these results required validation by a more reliable method that can describe how fatigue occurs. Methods: Thus, in this study, we used the Psychomotor Vigilance Test (PVT-192) and a short survey to address driving fatigue behavior and identify the influences of driving fatigue on driving performance in real life (on the road) with actual oil and gas tanker drivers. The total participants in the experimental study were 58 drivers. Results: For the analysis, a Wilcoxon Signed Ranks Test, Z value and Spearman’s rho were used to measure the significant difference between the pre and post-tests of PVT and the correlation between the fatigue variables and driving performance. Discussion: During the experiment’s first and second days, this study’s results indicated that driving fatigue gradually escalated. Likewise, there was a negative correlation based on the test of the relationship between the PVT data and the driving performance survey data. Additionally, the drivers suffer from accumulative fatigue, which requires more effort from the transportation company management to promote the drivers awareness of fatigue consequences.

Driving heavy vehicles with dangerous cargo involves various work environments that can significantly impact road safety. This research aims to study the impact of oil and gas tanker drivers’ work environment on driving performance to identify and address any issues that may affect their ability to carry out their jobs effectively. To achieve this, a quantitative approach was employed using a questionnaire survey adapted from the literature review. The data collected from a sample of drivers of oil- and gas-heavy vehicles were analyzed using structural equation modelling. The study’s findings reveal a significant association between the drivers’ work environment and driving performance, represented by a path coefficient of β = 0.237. These results highlight the substantial contribution of the work environment to driving performance, with an effect of 63%. Consequently, the study emphasizes the importance of considering the work environment as a potential factor when assessing and enhancing tanker drivers’ driving abilities during oil and gas transportation.

The increasing use of road traffic for land transportation has resulted in numerous road accidents and casualties, including those involving oil and gas tanker vehicles. Despite this, little empirical research has been conducted on the factors influencing tanker drivers' performance. This study aims to address this knowledge gap, particularly in the energy transportation industry, by examining the driving performance factors that affect tanker drivers and incorporating risk assessment measures. The model variables were identified from the literature and used to develop a survey questionnaire for the study. A total of 307 surveys were collected from Malaysian oil and gas tanker drivers, and the driving performance factors were contextually adjusted using the Exploratory Factor Analysis (EFA) approach. The driving performance model was developed using partial least squares structural equation modeling (PLS-SEM). The EFA results categorized driving performance into two constructs: 1) drivers' reaction time with β = 0.320 and 2) attention and vigilance with β value = 0.749. The proposed model provided full insight into how drivers’ reaction time, attention, and vigilance impact drivers' performance in this sector, which can help identify potential risks and prevent accidents. The findings are significant in understanding the factors that affect oil and gas drivers' performance and can aid in enhancing oil and gas transportation management by including effective risk assessment measures to prevent fatal crashes.