Job performance refers to an employee’s proficiency to perform well in achieving goals and behaviors which involve deliberate arts that are useful to the organization. Job performance can be improved if the employees manage to handle their job stress. This study investigates the significant effects and the relationships between job stress factors and job performance among the staffs at Pejabat Residen, Bahagian Samarahan, Sarawak. This study utilizes Job Demands-Control (JDC) Model by Karasek, which focuses on job demand and job control groups. Job demand consists of two dimensions; workload and time pressure while job control incorporates skill discretion and decision authority. One hundred questionnaires were conveniently distributed, and only 91 were returned and considered usable. This study used correlation and Multiple Linear Regression (MLR) analysis using SPSS version 25. The results show that job demand, job control, workload and time pressure had a significant relationship towards job performance. When the candidates had adequate time, decision-making empowerment and task-related skills, the employees could perform better. Among the predictors investigated, workload and skill discretion showed a significant effect on job performance. The recommendation for future research was also discussed and highlighted.
Online learning has been a need for worldwide education systems due to Covid-19. It is essential to study the students' self-efficacy to determine online learning success. Research suggests that self-efficacy can boost student achievement, foster emotional health and well-being, and be a valid predictor of motivation and learning. The purpose of this paper is to examine the students' self-efficacy in Mathematics online learning using a reliable instrument adapted from the "Learning Self-Efficacy Scale (OLSES)" developed by Zimmerman and Kulikowich in 2016. The respondents consisted of 343 undergraduate students in Sarawak, Malaysia. This study's quantitative data analysis methods include descriptive and inferential statistics. The analysis reported that most of the respondents had moderate to high levels of self-efficacy, whereas most of them were comfortable with Mathematics online learning. Specifically, there was a significant relationship between students' self-efficacy and the domains, namely learning in an online environment, time management, and technology use. This study also found no significant difference in the mean scores of students' self-efficacy concerning gender, academic performance, and online learning prior experience. However, there was a significant difference in mean scores for students' self-efficacy across their online learning comfort levels. Further analysis indicated that students who were notably comfortable projected a significantly higher self-efficacy than those with an average or low comfort level. Although the students in this study mostly had moderate to high levels of self-efficacy, there is still room to improve and strengthen their self-efficacy, especially in their abilities and readiness to engage in online learning and thus in achieving good academic performance.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.