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Andri Putra Kesmawan
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INDONESIA
Journal of Business Management
Published by Indonesian Journal Publisher
ISSN : -     EISSN : 30257689     DOI : 10.47134/jobm
Core Subject : Economy,
Economics, Econometrics & Finance
Journal of Business Management (JoBM) officially registered in the National Research and Innovation Agency, Directorate of Multimedia Repository and Scientific Publishing, ISSN INDONESIAN NATIONAL CENTER with ISSN Number 3025-7689 (online). This journal is published three times a year (April, August, and December) by Indonesian Journal Publisher. JoBM a scientific journal, blind peer-reviewed and open-access journal. JoBM is an academic journal organized with a focus and scope: General Management (Finance, Banking, Marketing, Human Resources, Operations, Strategic Management) and Entrepreneurship.
Arjuna Subject : Ilmu Ekonomi, Ekonometrika dan Keuangan (semua kategori) - Ilmu Ekonomi, Ekonometrika dan Keuangan (Lain-Lain)
Articles 93 Documents
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The Effect of Machine Learning Disclosure and Intellectual Capital on Stock Returns Through Return on Equity in Energy Sector Companies Listed on the Indonesia Stock Exchange During The 2020-2024 Period Marolip Subyekti; Khaira Amalia Fachrudin; Amlys Syahputra Silalahi
Journal of Business Management Vol. 4 No. 1 (2026): August (In Progress)
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jobm.v4i1.208

Abstract

This study aims to examine the effect of machine learning disclosure and intellectual capital on stock returns through return on equity (ROE) in energy sector companies listed on the Indonesia Stock Exchange during the 2020–2024 period. Advances in data-driven technologies and increasing business competition have encouraged companies to adopt machine learning and effectively manage intellectual capital to improve corporate performance, reduce information asymmetry, and support decision-making processes aimed at minimizing business and investment risks. This study employed a quantitative approach using panel data from 51 energy sector companies selected through purposive sampling, resulting in a total of 255 observations. Machine learning disclosure was measured using a disclosure index developed through text mining of the companies' annual reports, while intellectual capital was measured using the Value-Added Intellectual Coefficient (VAIC™) method. The data were analyzed using panel data regression through the selection of the most appropriate estimation model, followed by estimation using the Feasible Generalized Least Squares (FGLS) method. Mediation analysis was conducted using Stata software. The findings indicate that machine learning disclosure has a positive but statistically insignificant effect on stock returns, while it has a positive and statistically insignificant effect on return on equity. Intellectual capital has a positive and statistically significant effect on both return on equity and stock returns. Furthermore, return on equity has a positive and statistically significant effect on stock returns. The mediation analysis reveals that return on equity does not mediate the relationship between machine learning disclosure and stock returns. However, return on equity partially mediates the relationship between intellectual capital and stock returns at the 10% significance level. These findings suggest that intellectual capital plays a crucial role in enhancing corporate profitability and stock returns, whereas machine learning disclosure remains limited in its ability to influence stock returns among energy sector companies during the study period.
The Influence of Employee Well-Being and Digital Skills on Civil Servants' Performance: The Mediating Role of Job Satisfaction at the Regional Civil Service Agency of North Sumatra Province Wahyu Pradika; Yeni Absah; R. Hamdani Harahap
Journal of Business Management Vol. 4 No. 1 (2026): August (In Progress)
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jobm.v4i1.214

Abstract

This study aims to examine the influence of employee well-being and digital skills on the performance of Civil Servants (Aparatur Sipil Negara/ASN), with job satisfaction serving as a mediating variable at the Regional Civil Service Agency of North Sumatra Province. Bureaucratic digital transformation requires civil servants to maintain high levels of well-being and adequate digital competencies to achieve optimal organizational performance. Despite implementing digital systems such as e-Kinerja, SIMPEG, e-Absensi, and Single Sign-On (SSO), preliminary findings indicate that some employees continue to experience work-related fatigue, encounter difficulties in adapting to digital technologies, and report relatively low job satisfaction. This study employed a quantitative research approach using a questionnaire-based survey. The population consisted of all civil servants at the Regional Civil Service Agency of North Sumatra Province, with a sample of 137 respondents selected through purposive sampling. Employee well-being and digital skills were treated as independent variables, civil servants’ performance as the dependent variable, and job satisfaction as the mediating variable. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS software, based on the Job Demands–Resources (JD-R) Theory. The results demonstrate that employee well-being and digital skills have positive and significant effects on both job satisfaction and civil servants’ performance. Job satisfaction also positively and significantly influences performance and mediates the relationships between employee well-being, digital skills, and performance. These findings emphasize the importance of strengthening employee well-being and digital competencies to enhance job satisfaction, improve civil servants’ performance, and support sustainable bureaucratic digital transformation.
Strengthening Organizational Commitment in the Public Sector: The Role of Perceived Organizational Support and Job Satisfaction among Civil Servants Aribatul Faridhah; Rosita Endang Kusmaryani
Journal of Business Management Vol. 4 No. 1 (2026): August (In Progress)
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jobm.v4i1.215

Abstract

Organizational commitment is an important aspect of maintaining employees’ attachment to their organization, particularly in the public sector. This study aimed to examine the relationships between perceived organizational support, job satisfaction, and organizational commitment among ASN employees at DPPKB Kota Bekasi. A quantitative approach with a cross-sectional correlational design was employed. The study population comprised 135 ASN employees, consisting of 94 Civil Servants and 41 Government Employees with Employment Agreements. A total of 101 respondents were selected using purposive sampling. Data were collected using the Organizational Commitment Questionnaire, a perceived organizational support scale, and the Minnesota Satisfaction Questionnaire–Short Form. The data were analyzed using multiple linear regression. The findings indicated that perceived organizational support and job satisfaction were positively associated with organizational commitment. Job satisfaction demonstrated a stronger association with organizational commitment than perceived organizational support. At the dimensional level, extrinsic satisfaction was significantly associated with organizational commitment, whereas intrinsic satisfaction was not. These findings highlight the importance of organizational support and positive work experiences, particularly recognition, supervision, working conditions, and career development, in strengthening employees’ organizational commitment

Page 10 of 10 | Total Record : 93

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