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Journal : Makara Journal of Technology

Personality Trait Based Intervention for Workplace Accident Prevention Yassierli, Yassierli; Nurhayati, Nurhayati; Anatasia, Marisa; Bahri, Shamsul
Makara Journal of Technology Vol. 21, No. 2
Publisher : UI Scholars Hub

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Abstract

Previous research has suggested that some traits may be useful as the predictors of risk behaviours behaviors. Therefore, personality traits seem to play a role in accident involvement. The purpose of this study is was to explore the relationship between the personality traits based on the Big Five Inventory (BFI) and worker accident experiences in order to elaborate personality traits based intervention for workplace accident prevention. A cross cross-sectional study was conducted among 173 workers in a cement company using a set of questionnaires consisting of respondents’ characteristics, BFI, and self-reported accident experience. The correlations were computed using Goodman Kruskal’s Gamma. A negative correlation between Extraversion dimension and accident experience was found to be approaching significant (G=- 0.273, p = 0.061). Workers with lower Extraversion dimensions, based on BFI, are recommended to have priority needs be prioritized for training or to be assigned to less hazardous workplaces.
The Importance of Usability Aspect in M-Commerce Application for Satisfaction and Continuance Intention Yassierli, Yassierli; Vinsensius, Vinsensius; Mohamed, M. S. Syed
Makara Journal of Technology Vol. 22, No. 3
Publisher : UI Scholars Hub

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Abstract

There has been a rapid growing of m-commerce application in recent years due to the development of mobile communication technology and e-commerce business. However, only about 30% of online users, who conduct online searching, make online purchases. The low conversion rate seems to be correlated with poor usability aspect of most m-commerce applications and poor satisfaction reported by users. Research has reported that satisfaction and continuance intention in using m-commerce applications have relationships with service quality and information quality. In this study, a new model of user satisfaction and continuance intention in the context of mobile application was proposed by incorporating usability aspect. The study involved 230 respondents. To develop a new reliable and valid model, this study used Structural Equation Modelling (SEM) that include two stage evaluation, namely measurement model evaluation and structural model evaluation. Results demonstrated 34 valid and reliable indicators which can be used to measure service quality, information quality, usability, user satisfaction and continuance intention in M-commerce application. There were positive and significant relationships among service quality, information quality, usability, user satisfaction, and continuance intention. This study provide evidence on the importance of usability aspect in M-commerce application for user satisfaction and continuance intention.