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The Effect of Flexible Working Arrangement, Work-Life Balance, and Work Environment on Job Satisfaction Startup Employee in Tangerang Muhammad Rafi Dhia
Jurnal Ekonomi Manajemen Bisnis dan Akuntansi Vol. 1 No. 1 (2024): (July) Jurnal Ekonomi Manajemen Bisnis dan Akuntansi
Publisher : PT. Altaf Publishing Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70895/jemba.v1i1.6

Abstract

This study investigates the impact of work-life balance, flexible scheduling, and the workplace environment on the job satisfaction of employees at startups in Tangerang. The research focuses on three independent variables flexible work schedules, work-life balance, and the workplace environment and one dependent variable, job satisfaction. Data was collected through questionnaires distributed to 97 employees from Tangerang startups. The study utilized primary data and associative quantitative analysis, employing structural equation modeling (SEM) with Smart PLS. The results indicate that flexible work schedules significantly affect job satisfaction, as shown by a t-statistic of 8.609, which is above the threshold of 1.96, and a p-value of 0.000, which is below the threshold of 0.05. Similarly, work-life balance also has a significant impact on job satisfaction, with a t-statistic of 34.877, far exceeding 1.96, and a p-value of 0.000. Additionally, the work environment has a substantial impact on job satisfaction, evidenced by a t-statistic of 4.424 and a p-value of 0.000, both meeting the significance criteria.
THE IMPACT OF JOB STRESS AND WORKLOAD ON E-COMMERCE EMPLOYEES JOB SATISFACTION WITH SOCIAL SUPPORT AS AN INTERVENING VARIABLE Muhammad Rafi Dhia
Jurnal Humaniora & Sosial Sains Vol 1 No 1 (2024)
Publisher : Pojok Publisher

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Abstract

This study uses a quantitative approach and survey method to investigate the impact of job stress and workload on job satisfaction among e-commerce employees in Indonesia, with social support as an intervening variable. The research sampled 100 full-time employees selected through purposive sampling. Data were collected via a validated and reliable questionnaire and analyzed using Covariance-Based Structural Equation Modeling (CB-SEM) with SmartPLS 4 software. Path analysis was employed for hypothesis testing, assessing significance with p-values and T-values. Results indicate that job stress significantly affects job satisfaction (p < 0.005, T = 3.033) and social support (p < 0.005, T = 4.750). Workload also significantly impacts job satisfaction (p < 0.005, T = 5.169) and social support (p < 0.005, T = 3.800). Social support significantly influences job satisfaction (p < 0.005, T = 5.169). Mediation analysis shows that job stress and workload have significant indirect effects on job satisfaction through social support (p < 0.005, T = 6.633 for job stress; p < 0.005, T = 5.569 for workload). These findings highlight the importance of social support in mitigating the effects of job stress and workload on job satisfaction.