Purpose The purpose of this study is to investigate the relationship between personality traits and internet addiction behavior. Within the same industry background, job satisfaction was measured to test whether there is any mediating effect toward the relationship between personality traits and internet behavior. Design/methodology/approach A sample of 271 employees from financial institutions was selected, and IBM SPSS was used to perform descriptive statistic, correlation analysis and partial regression analysis, to test out three main hypotheses developed in this study. Findings The results indicate that personality traits, namely, agreeableness and emotional stability are negatively related to internet addiction behavior. However, job satisfaction does not mediate the influence of personality traits toward internet addiction behavior, even though the results indicated personality traits, namely, agreeableness, conscientiousness and emotion stability are positively related to job satisfaction. Research limitations/implications The main implication includes better understanding on internet addiction behavior in local context and to predict internet addiction behavior through personality traits for better outcome of awareness and prevention toward this psychological disorder. Originality/value The study contributes in understanding internet addiction behavior in Malaysia occupational context, as most of the local researches focused in validation of measurement tools. Hence, the finding provides an empirical evidence for organizational psychology study in recognition of internet addiction as part of occupational hazards.

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Road lighting is essential to ensure the safety and comfort of its users, especially in preventing accidents and aiding visual tasks. The monumental shift from conventional road lighting technology to light-emitting diode (LED) lighting is driven by energy efficiency, associated cost savings, and environmental concerns in the road lighting system. This study aims to investigate the performance of LED in substitution for high-pressure sodium vapour (HPSV) road lighting in Penang Bridge, Malaysia using the Data Envelopment Analysis (DEA), a frontier-based optimisation approach, by modelling energy, cost, and environment together, as none of the previous studies has included energy, cost, and environmental concerns together in one model. The LED renewable energy industry that promotes zero carbon emissions has the potential to establish an affordable, clean, and carbon-free energy system for road lighting, especially in rural areas.