Oslan Juliana Simbolon
Universitas Katolik Santo Thomas

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

The Influence of Hybrid Work Models on Employee Productivity and Well-Being Oslan Juliana Simbolon; Thomas H. Sihombing
JENOVA : Journal of Economics, Finance, Accounting, and Organizational Advancement Vol. 1 No. 1 (2025): Journal of Economics, Finance, Accounting, and Organizational Advancement
Publisher : Cv. Data Sinergi Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65853/jenova.v1i1.111

Abstract

This study examines the impact of hybrid work model implementation on employee productivity and well-being in Indonesian organizations. The hybrid model, combining remote and on-site work, is considered an adaptive post-pandemic strategy with economic and psychological implications. A mixed-methods explanatory sequential design was employed. Quantitative data were collected from 500 employees, measuring productivity through Key Performance Indicators (KPI) extracted from HRIS platforms (SAP SuccessFactors and Workday) and well-being using the WHO-5 Index. Analyses included descriptive statistics, paired t-tests, and linear regression. Complementary qualitative insights were obtained from 30 structured interviews and analyzed thematically. Results show that average KPI scores increased significantly from 77.38 to 81.32 (p < 0.001; Cohen’s d = 1.06), while WHO-5 scores rose from 55.03 to 63.76 (p < 0.001; Cohen’s d = 1.32). However, regression analysis revealed that improved well-being was not directly associated with productivity gains (p = 0.788). Thematic analysis identified four central themes: flexibility and time efficiency, enhanced work-life balance, collaboration challenges, and risks of digital fatigue. The study concludes that hybrid work substantially enhances both productivity and well-being, though their relationship is not linear. Organizational factors, particularly communication, managerial support, and digital workload management are critical for success. These findings contribute to human resource management literature and highlight the strategic significance of hybrid work in sustaining corporate performance in uncertain environments.
Economic Growth and Environmental Degradation: A Panel Data Analysis of Carbon Emissions and GDP Across Developing Countries Ayu Trisanti; Oslan Juliana Simbolon
JENOVA : Journal of Economics, Finance, Accounting, and Organizational Advancement Vol. 1 No. 2 (2025): Journal of Economics, Finance, Accounting, and Organizational Advancement
Publisher : Cv. Data Sinergi Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65853/jenova.v1i2.131

Abstract

The relationship between economic growth and environmental degradation remains a critical issue for developing countries that seek to sustain economic expansion while reducing carbon emissions. Grounded in the Environmental Kuznets Curve (EKC) hypothesis, this article examines the relationship between carbon dioxide (CO₂) emissions and gross domestic product (GDP) per capita across 65 developing countries during 2000-2022. The empirical analysis applies panel data estimation techniques, including Fixed Effects, Random Effects, the Hausman specification test, and System Generalized Method of Moments (System GMM) to address potential endogeneity. Energy consumption, renewable energy share, foreign direct investment (FDI), and trade openness are included as control variables. The findings support the EKC hypothesis. GDP per capita has a positive and significant effect on CO₂ emissions, while the squared term of GDP per capita has a negative and significant effect, confirming an inverted U-shaped relationship. The estimated turning point of approximately US$8,742 per capita indicates that many developing countries remain in the growth phase where emissions continue to rise. Energy consumption is the strongest positive driver of emissions, whereas renewable energy share significantly reduces environmental degradation. FDI shows a positive but statistically insignificant effect, while trade openness significantly increases emissions. System GMM estimation confirms the robustness of the results after controlling for endogeneity and emissions persistence. These findings highlight the need for renewable energy transition, stronger environmental governance, and trade-investment policies that support green growth in developing economies.