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Brilliant International Journal of Management and Tourism
Published by Pusat Riset dan Inovasi Nasional
ISSN : 2810076X     EISSN : 28278380     DOI : https://doi.org/10.55606/bijmt.v4i2
Core Subject : Economy,
Economics, Econometrics & Finance
BIJMT : Brilliant International Journal Of Management And Tourism is published three times a year, in February, June and October by Lembaga Pengembangan Kinerja Dosen. This journal is SINTA 5 accredited (Decree of the Director General of Higher Education, Research and Technology Number 10/C/C3/DT.05.00/2025 dated March 21, 2025 concerning the Accreditation Rating of Scientific Journals for Period I of 2025) starting from Volume 2 Number 2 of 2022 to Volume 7 Number 1 of 2027. BIJMT aims to: Promote the latest research results on Management and/or Entrepreneurship. Only publish the results of Management research (such as Marketing Management, Financial Management, HR Management, Operations/Production Management, Business Management, etc.) and or Entrepreneurship as knowledge development. BIJMT welcomes papers with the above objectives and scope. The editor decides the paper to be published in BIJMT after being reviewed by an appointed reviewer (double blind review). Authors will be notified of reviewers comments and suggestions
Arjuna Subject : Bisnis, Menejemen, dan Akutansi (semua kategori) - Bisnis, Menejemen, dan Akutansi (Lain-Lain)
Articles 182 Documents
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The Influence of State Capital Participation and Capital Structure on Company Profitability with Company Size as a Moderating Variable : (Study on State-Owned Enterprises Assigned to Infrastructure Projects for the Period 2019-2023) Asih Pramulia; Endri Endri
Brilliant International Journal Of Management And Tourism Vol. 6 No. 1 (2026): Brilliant International Journal Of Management And Tourism
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/bijmt.v6i1.6819

Abstract

This research is motivated by the large allocation of State Capital Participation (PMN) to State-Owned Enterprises (SOEs) for infrastructure projects, which has not been fully accompanied by increased company profitability. Fluctuating financial performance, high debt burdens, and issues of inefficient state fund management necessitate an empirical study of the effect of PMN and capital structure on profitability, considering company size as a moderating variable. This study aims to analyze the influence of State Capital Participation (PMN) and Capital Structue on the Profitability of State-Owned Enterprises (SOEs) assigned to infrastructure projects, with Company Size as a moderating variable. The research was conducted on SOEs during the 2019–2023 period using a quantitative approach with panel data regression analysis. The data analysis employed the EViews 10.0 application using multiple regression and moderation tests to examine the role of company size in moderating the relationship between independent variables and company profitability. The results indicate that State Capital Participation positively influences profitability, while Capital Structure (measured by the Debt to Equity Ratio) has a significant negative impact. Additionally, Company Size acts as a moderating variable that strengthens the relationship between PMN and profitability but does not significantly moderate the effect of Capital Structure on profitability. This research is expected to provide insights for the government and SOE management in optimizing capital allocation and managing capital structure to enhance company profitability.
The Influence of Performance, Competence and Education Level on Promotion at the Central Statistics Agency of Lima Puluh Kota Regency Harrya Alfha; Jerry Heikal
Brilliant International Journal Of Management And Tourism Vol. 6 No. 1 (2026): Brilliant International Journal Of Management And Tourism
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/bijmt.v6i1.6884

Abstract

This study examines the influence of performance, competence, and educational level on employee promotion at the Central Bureau of Statistics (BPS) of Limapuluh Kota Regency. The research is motivated by the suboptimal implementation of promotion systems despite the availability of qualified employees, indicating the need to evaluate key determinants of promotion decisions. The study applies Structural Equation Modeling–Partial Least Squares (SEM-PLS) using SmartPLS software. The population and sample consist of all 32 employees of BPS Limapuluh Kota. The independent variables include performance (11 indicators), competence (9 indicators), and educational level (3 indicators), while the dependent variable is employee promotion. The validity and reliability tests were conducted using the PLS Algorithm. The results indicate that only 8 out of 23 indicators met the outer loading threshold of ≥ 0.70, particularly those related to collaboration, understanding of vision and mission, regulations, SOPs, and technological mastery. All constructs were found to be reliable, as indicated by Composite Reliability and Cronbach’s Alpha values exceeding 0.70. Hypothesis testing using bootstrapping shows that only one variable has a significant positive effect on employee promotion. The findings highlight that collaboration, core competencies, technological skills, and training participation are crucial factors influencing promotion decisions. Therefore, strengthening training programs and teamwork is recommended to enhance employee promotion opportunities.

Page 19 of 19 | Total Record : 182

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