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INDONESIA
International Journal of Economics, Commerce, and Management
Published by Asosiasi Riset Ekonomi dan Akuntansi Indonesia
ISSN : 30479746     EISSN : 30479754     DOI : 10.62951
Core Subject : Science, Social,
Decision Sciences, Operations Research & Management Social Sciences
Topics in this journal relate to any aspect of management, but are not limited to the following topics: Human Resource Management, Financial Management, Marketing Management, Public Sector Management, Operational Management, Supply Chain Management, Corporate Governance, Business Ethics, Management Accounting and Capital Markets and Investment
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 232 Documents
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Gross Regional Domestic Product, Population and Employment Opportunities in Central Kalimantan Rima Harati
International Journal of Economics, Commerce, and Management Vol. 3 No. 3 (2026): International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v3i3.1299

Abstract

This study aims to analyze the influence of Gross Regional Domestic Product (GDP) and population on employment opportunities in Central Kalimantan Province. The research data covers the period 2011–2025 using the EViews 12 software  as an analysis tool. The independent variables studied are GDP and population, while the dependent variable is employment opportunities. The results of the analysis show that GDP does not have a significant influence on employment opportunities, while the number of population has a significant effect on increasing employment opportunities in Central Kalimantan. The classical assumption test indicates that the research data meets the requirements of normality and is free from heteroscedasticity and multicollinearity, although autocorrelation is found. These findings confirm that the dynamics of job opportunities are more influenced by demographic factors than regional economic growth. Thus, regional development policies need to focus on managing the population and improving the quality of the workforce in order to be able to absorb employment opportunities optimally. This research contributes to the formulation of regional economic development strategies that are oriented towards a balance between economic growth and population dynamics.
The Effect of Artificial Intelligence Use in Human Resource Management on Employee Work Effectiveness Angga Nugraha; Dewi Listiorini; Feriandy Feriandy
International Journal of Economics, Commerce, and Management Vol. 3 No. 3 (2026): International Journal of Economics, Commerce, and Management
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijecm.v3i3.1317

Abstract

This study aims to determine the effect of using Artificial Intelligence in human resource management on employee work effectiveness. This research employed a quantitative approach using a survey method, while data were collected through questionnaires distributed to employees as research respondents. The research variables consisted of the utilization of Artificial Intelligence in human resource management as the independent variable and employee work effectiveness as the dependent variable. The collected data were analyzed using validity and reliability tests, simple linear regression analysis, a t-test, and the coefficient of determination to determine the effect of Artificial Intelligence utilization on employee work effectiveness. The results showed that the utilization of Artificial Intelligence in human resource management has an effect on employee work effectiveness. The use of AI can assist employees in processing information, completing routine tasks, saving time, and supporting decision-making processes, thereby enabling work to be carried out more effectively and efficiently. Therefore, the utilization of Artificial Intelligence can serve as one of the supporting factors in improving employee work effectiveness when accompanied by adequate digital skills and employee readiness to use the technology.   

Page 24 of 24 | Total Record : 232

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