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This study aims to analyze trends in scientific publications related to the application of green banking in financing products within Islamic banking in Indonesia during the 2019–2024 period. Using a bibliometric analysis method based on Google Scholar data and mapping via VOSviewer software, this study evaluates 60 selected articles. The study results indicate a significant annual increase in publications, with a primary focus on integrating green banking principles into Islamic financing policies, their impact on profitability, and the role of technology in supporting green banking. Additionally, the study found that environmental sustainability, green financing, and digital transformation are the most dominant themes in the development of green banking research within Islamic banking. Bibliometric network analysis indicates a strong interconnection between the concepts of green finance, sustainable banking, and Islamic banking in supporting sustainable economic development. This study also identifies opportunities for further research related to the effectiveness of green banking implementation on the financial performance and social responsibility of Islamic banking. These findings contribute to the development of green finance literature in the Islamic finance sector and serve as a strategic reference for regulators and practitioners in implementing sustainable banking policies in the future.

Digital transformation in Human Resource Management (HRM) has shifted the organizational paradigm from an administrative function to a strategic function focused on adaptive and sustainable human resource development. This study aims to systematically review the integration of digital technology in HRM practices with particular emphasis on inclusivity and organizational sustainability. The method employed is a literature review analyzing various studies related to the implementation of Artificial Intelligence (AI), big data analytics, and digital systems in recruitment, competency development, and employee performance evaluation. The findings indicate that digital transformation enhances operational efficiency, decision-making quality, and workplace flexibility. However, the adoption of digital technology also creates ethical challenges, including algorithmic bias, unequal access to technology, and concerns regarding employee data privacy. Therefore, the implementation of Equity, Diversity, and Inclusion (EDI) principles is essential in developing fair and inclusive HRM systems. Furthermore, continuous learning cultures and flexible work models have proven effective in supporting employee well-being while strengthening organizational resilience in facing global changes. This study emphasizes the importance of synergy between technological innovation, ethical leadership, and sustainability in building HRM systems that are responsive to the future of work.

This research investigates how Environmental, Social, and Governance (ESG) practices influence the tax liabilities of consumer cyclical companies in Indonesia between 2020 and 2024. By employing the Effective Tax Rate (ETR) as a proxy for tax burden, the study analyzes 160 data points from 32 purposively selected firms. Utilizing a Fixed Effect Model for panel data regression, the empirical results indicate that superior ESG performance significantly correlates with a higher ETR. This suggests that corporations with higher sustainability transparency tend to exhibit better tax compliance and avoid aggressive tax avoidance schemes. Grounded in stakeholder and legitimacy theories, these findings underscore that ethical ESG adoption strengthens public accountability and enhances the integrity of corporate governance within the Indonesian capital market.

Management psychology is an approach that plays a crucial role in understanding individual and group behavior within organizations, particularly in the ever-evolving educational and work environments. The application of psychological principles to management practice is believed to improve performance, leadership effectiveness, and create a more conducive work and learning environment. This study aims to examine the development of trends, approaches, and key findings in the study of management psychology through a literature review. Furthermore, this study also seeks to answer two research questions: (1) how have management psychology research trends developed over the past five years, and (2) what are the key findings in the educational and organizational contexts. The method used is a qualitative approach by searching various literature sources through the Google Scholar and Publish or Perish (PoP) databases, using the keyword "management psychology." Of the 20 articles found between 2021 and 2026, five were selected as the most relevant for further analysis. The study results indicate three dominant themes: the role of management psychology in education, the influence of motivation and leadership on performance, and its contribution to the organizational adaptation process. The conclusions of this study confirm that integrating psychological aspects into management plays a crucial role in increasing organizational effectiveness. Therefore, further research is recommended to empirically examine the relationship between psychological variables and a broader scope.

The Legal Unit plays a crucial role in ensuring compliance with banking regulations, particularly in managing customer documents related to data protection and legal risk reduction. This study aims to explore the role and performance of the Legal Unit in managing customer files at Bank Sumsel Babel, Kapten A. Rivai Main Branch, and to identify obstacles and possible solutions. The method chosen in this study is qualitative with a descriptive approach. Data were obtained through observation, interviews, and document analysis, which were then analyzed using the interactive model of Miles and Huberman. The research findings indicate that the Legal Unit is responsible for ensuring that document management is carried out regularly, securely, and in accordance with applicable banking regulations. The implementation of Standard Operating Procedures (SOPs), internal supervision, and the use of digital archives contribute to legal compliance and minimize the risk of document loss and information leakage. Problems encountered include limitations in human resources and incompatibility with digital systems. Therefore, improvements in document management technology, training for human resources, and periodic SOP evaluation are needed to improve the effectiveness of the Legal Unit's work and maintain customer trust.

 The quality of digital system services in the ship clearance process is closely related to the work effectiveness of shipping agency companies. The advancement of port operational services is influenced by the system’s ability to provide convenience, speed, accuracy, and service integration for users. The system used in the ship clearance process must be able to meet user needs and support inter-agency coordination so that ship services can operate more effectively and efficiently. This study aims to analyze the performance level and the level of user importance regarding the implementation of the Single Submission Pengangkut System in the ship clearance process at PT Trans Cakrawala Perkasa. The research employed a descriptive quantitative approach with a sample of 30 respondents consisting of ship agents involved in the clearance process. Data were collected through questionnaires, observations, and literature studies. The data were analyzed using validity tests, reliability tests, conformity level analysis, and the Importance Performance Analysis (IPA) method. The results indicate that the SSM Pengangkut System has made a positive contribution to accelerating document processing, facilitating system usage, increasing work productivity, and supporting coordination among related agencies. Based on the IPA Cartesian diagram, one indicator was identified as a priority for improvement, while other indicators were categorized as maintain performance, low priority, and high performance with lower importance levels. Overall, the implementation of the Single Submission Pengangkut System has been running quite well; however, continuous evaluation and improvement are still needed to optimize the ship clearance process further.

Trucking peirformancei is onei of thei important factors in supporting thei smoothneiss of thei clinkeir loading proceiss at PT. Varia Usaha Bahari, Maspion Port, Greisik. In practicei, seiveiral obstacleis arei still eincounteireid, such as deilays in truck arrivals, leiss optimal veihiclei conditions, and opeirational coordination that has not beiein fully maximizeid. Theisei conditions may affeict thei smoothneiss of thei clinkeir loading proceiss. This study aims to deiteirminei thei condition of trucking peirformancei in thei clinkeir loading proceiss baseid on deiscriptivei analysis and to deiteirminei thei eiffeict of trucking peirformancei on thei clinkeir loading proceiss baseid on simplei lineiar reigreission analysis. This study useid a quantitativei meithod with deiscriptivei analysis and simplei lineiar reigreission. Thei data weirei obtaineid through queistionnaireis distributeid to reispondeints involveid in clinkeir loading activitieis. Thei reisults showeid that trucking peirformancei was in thei good cateigory, with aveiragei indicator scoreis ranging from 3.7 to 3.9. Thei higheist indicator was opeirational coordination and communication at 3.9, whilei thei loweist indicator was loading punctuality at 3.7. Thei reisults of thei simplei lineiar reigreission showeid thei eiquation Y = 249.374 + 34.930X, which meians that trucking peirformancei has a positivei eiffeict on thei clinkeir loading proceiss. Thei significancei valuei of 0.000 < 0.05 indicateis that thei eiffeict is significant. Theireiforei, thei beitteir thei trucking peirformancei, thei beitteir thei clinkeir loading proceiss.

This study is based on the increasingly rapid development of the knowledge-based economy, where human capital is now regarded as one of the important assets in creating a company’s competitive advantage, especially in the energy and oil and gas sectors in Indonesia. This study aims to determine the effect of human capital and labor intensity on corporate financial performance, which is proxied by Return on Assets (ROA) during the 2021–2024 period. The research method used is a quantitative approach with multiple linear regression analysis. The research data were obtained from sample companies selected using a purposive sampling technique. The results of the study show that human capital, proxied by Value Added Human Capital (VAHU), has a positive and significant effect on corporate financial performance. These findings indicate that good human resource management is capable of increasing the company’s profitability level. On the other hand, labor intensity is proven to have a negative and significant effect on financial performance. This indicates that a high level of company dependence on labor, without being balanced by operational efficiency, can reduce the company’s ability to generate profits. In addition, simultaneously both variables are able to explain 74.5% of the variation in Return on Assets (ROA), so it can be concluded that human capital and labor intensity have a considerable contribution to corporate financial performance. Based on these results, companies need to prioritize improving the quality and competence of the workforce rather than merely focusing on increasing the number of employees. This step is important to maintain the stability of corporate financial performance in the post-pandemic era. In addition, companies also need to effectively control labor costs so that a decline in net profit margins can be avoided.

.This study aims to analyse the role of Financial Information Systems (FIS) in supporting risk management, decision-making, and organisational performance in the digital transformation era. This study employs the Systematic Literature Review (SLR) method to examine articles indexed in Scopus from 2016 to 2026. The PRISMA framework is used to ensure a systematic, transparent article selection process, resulting in the selection of 37 relevant articles for further analysis. The results of the study show that Financial Information Systems make a major contribution to improving financial transparency, operational efficiency, the quality of strategic decision-making, and organisational risk mitigation. In addition, the integration of emerging technologies such as Artificial Intelligence (AI), FinTech, big data analytics, and cloud computing further strengthens the effectiveness of financial information systems in modern organisations. This study contributes theoretically by mapping research trends and identifying research gaps, while providing practical benefits for organisations seeking to increase competitiveness through digital financial systems. For future research, it is recommended to develop a more predictive and intelligent Financial Information Systems model to address future business dynamics.

This study aims to examine the effect of working capital efficiency and leverage on profitability and its implications for firm value in manufacturing companies listed on the Indonesia Stock Exchange (IDX) during the 2020–2025 period. The post-COVID-19 pandemic condition has increased operational risks for manufacturing companies due to fluctuations in interest rates, exchange rates, cash management, inventories, and receivables. Therefore, companies are required to implement more effective financial strategies to maintain competitiveness. Profitability is positioned as an intervening variable because previous studies showed inconsistent results regarding the relationship between working capital efficiency, leverage, profitability, and firm value. This research uses a quantitative approach with path analysis to examine direct and indirect relationships among variables. The population consists of all manufacturing companies listed on the IDX, while the sample includes 45 companies selected from 270 firms using purposive sampling based on specific criteria, such as consistent listing and financial performance. The results indicate that working capital efficiency has a significant positive effect on profitability, leverage has a significant negative effect on profitability, profitability significantly increases firm value, and profitability fully mediates the effect of working capital efficiency and leverage on firm value. These findings provide theoretical and practical implications for managers and investors in financial decision-making.

This study aims to analyze the effect of wages and work environment on employee performance at PT. Rezeki Surya Gasindo. The background of this research is based on the importance of decent wages and a conducive work environment as factors that can enhance employee productivity and work quality. This study employs a quantitative method with a causal associative approach. Data were obtained through the distribution of questionnaires to all employees of PT. Rezeki Surya Gasindo and measured using a Likert scale. The data analysis techniques used in this study include validity and reliability tests, R-square test, and hypothesis testing through bootstrapping with SmartPLS 3 software. The results indicate that wages have a positive and significant effect on employee performance, and similarly, the work environment also has a positive and significant effect on employee performance. Simultaneously, wages and work environment are proven to have a significant effect on employee performance. These findings suggest that the company should pay attention to providing appropriate wages and creating a comfortable work environment in order to optimize employee performance.

Randai traditional art is one of the cultural heritages of Minangkabau that holds significant aesthetic, educational, and social values; however, its existence is increasingly threatened due to globalization and the declining interest of the younger generation. The lack of attention and limited preservation efforts are the main factors contributing to the decline of this traditional art. Therefore, concrete efforts are needed to preserve randai as part of local cultural identity. This article aims to examine the preservation of randai as an effort to strengthen cultural identity through the Community Service Program (KKN) using a participatory approach involving students and the community in activities such as socialization, training, and performances. The results indicate that these activities can increase public awareness of the importance of local culture and revive the interest of the younger generation in learning and preserving randai. Furthermore, the program also strengthens social cohesion and cultural identity within the community. In conclusion, the preservation of randai not only serves to maintain cultural heritage but also acts as a means of strengthening local cultural identity in the midst of modernization.

This study aims to determine and analyze the effect of entrepreneurial knowledge and entrepreneurial skills on business success in Micro, Small, and Medium Enterprises (MSMEs) in Aesesa District, Nagekeo Regency. The background of this research is driven by fluctuations in MSME performance, unstable turnover, suboptimal management, low customer satisfaction, and limited practical skills and knowledge. This study utilizes a quantitative approach with a causal associative method. The population consists of all 3,705 active MSMEs in Aesesa District. The sampling technique used was purposive sampling with specific criteria, and the sample size was calculated using the Slovin formula with a 10% margin of error, resulting in exactly 100 respondents. Data collection was conducted via structured questionnaires with a 1–5 Likert scale. Data analysis techniques include descriptive statistics, validity and reliability tests, classical assumption tests (multicollinearity, heteroscedasticity, and normality), multiple linear regression analysis, t-test, F-test, and coefficient of determination administered through SPSS. The multiple linear regression analysis yielded the equation Y = 12.450 + 0.412X1 + 0.385X2. The partial test (t-test) demonstrates that entrepreneurial knowledge has a positive and significant effect on business success (t count 4.120 > t table 1.984, sig 0.000). Entrepreneurial skills also exert a positive and significant impact on business success (t count 3.850 > t table 1.984, sig 0.000). Simultaneously (F-test), entrepreneurial knowledge and entrepreneurial skills have a significant combined effect on business success with F count 38.450 > F table 3.09. The coefficient of determination (Adjusted R Square) value of 0.442 indicates that the variation in business success is influenced by both independent variables by 44.2%, while the remaining 55.8% is explained by external factors outside this research model.

The purpose of this study is to examine the effect of Good Corporate Governance (GCG), financial performance, and Earning Per Share (EPS) on firm value. The object of this research consists of state-owned enterprises (SOEs) listed on the Indonesia Stock Exchange during the period of 2021–2024. This study employs a quantitative approach using secondary data in the form of annual financial statements as the primary source. The sample was selected using purposive sampling based on predetermined criteria, ensuring that only companies with complete data and consistent reporting were included in the analysis. The independent variables analyzed include the audit committee, independent commissioners, institutional ownership, Return on Assets (ROA), and Earning Per Share (EPS). Multiple linear regression analysis was used to process the data in this study, allowing the researchers to examine the simultaneous and partial effects of the variables on firm value. The findings indicate that firm value is significantly influenced by financial performance, particularly ROA, highlighting the importance of operational efficiency and profitability in enhancing shareholder wealth. While certain GCG variables such as institutional ownership showed positive influence, other elements like audit committees and independent commissioners produced mixed results, suggesting that governance mechanisms may have varying effects depending on organizational context. Meanwhile, EPS demonstrated inconsistent results in relation to firm value, implying that market perceptions of earnings may not fully capture the impact on overall firm valuation. This study provides insights for policymakers, investors, and corporate managers on the relative importance of governance and financial indicators in value creation for state-owned enterprises.

This study examines the role of QRIS as a non-cash payment system in supporting the digitalization of micro, small, and medium enterprises (MSMEs) in Indonesia. The rapid growth of digital transactions has encouraged MSMEs to adopt more efficient, practical, and secure payment systems. This study aims to integrate the benefits and barriers of QRIS, map its position in the MSME digitalization process, and develop a conceptual framework for future research. A descriptive qualitative approach with a literature study design was employed, utilizing relevant academic sources related to QRIS, MSMEs, digital payments, and user behavior. Data were analyzed using content analysis by comparing, interpreting, and synthesizing findings from selected literature. The results indicate that QRIS contributes to simplifying transactions, improving operational efficiency, reducing cash dependency, and supporting MSMEs’ adaptation to digital payment trends. However, its implementation remains constrained by factors such as digital literacy, user readiness, trust, and infrastructural limitations. The study also highlights that QRIS adoption is influenced not only by technological advantages but also by perceived value and user trust. Therefore, QRIS can be positioned as a strategic instrument in accelerating the digital transformation of MSME payment systems. The findings imply the need for further empirical research to examine the direct impact of QRIS adoption on MSME performance and sustainability.

Student dropout in higher education remains a persistent socioeconomic challenge, yet many predictive models reported in the literature are methodologically compromised by randomized cross-validation schemes that introduce temporal data leakage and artificially inflate predictive performance. This study proposes a longitudinal prescriptive learning analytics framework integrating three complementary methodological components: a Leave-One-Cohort-Out (LOCO) temporal validation protocol, a hybrid SMOTE-ENN class balancing strategy, and temporal velocity feature engineering derived from Learning Management System (LMS) behavioral trajectories. The framework was evaluated on a longitudinal dataset comprising 464,739 enrollment records and 77 features. Five predictive algorithms—XGBoost, LightGBM, CatBoost, Random Forest, and Logistic Regression—were comparatively assessed on a strictly isolated blind holdout cohort (2022), with CatBoost emerging as the champion estimator, achieving a PR-AUC of 0.8859, a Macro F1-Score of 0.9143, and the lowest Brier Score (0.0221), thereby demonstrating superior calibration and discriminative capability under severe class imbalance (93:7 ratio). Comprehensive ablation analysis revealed that temporal velocity features function not merely as additive predictors, but as a structural prerequisite enabling Synthetic Minority Oversampling Technique with Edited Nearest Neighbors (SMOTE-ENN) to generate high-quality synthetic boundary instances; removing these features reduced minority-class precision from 0.8302 to 0.6721. To operationalize predictive outputs into actionable intervention pathways, Diverse Counterfactual Explanations (DiCE) were implemented under a three-tier causal constraint architecture on 96 borderline high-risk students, generating 384 feasible intervention scenarios exclusively targeting forward-looking behavioral velocity metrics without constraint violations. Collectively, these findings advance the paradigm of prescriptive learning analytics by providing educational institutions with interpretable risk diagnostics and operationally feasible intervention guidance grounded in empirically validated behavioral and temporal dynamics.

The development of artificial intelligence (AI) has driven fundamental changes in the way organizations manage work processes, make decisions, and coordinate teams in digital environments. However, an integrated understanding of how AI-based leadership affects digital team performance, particularly through the roles of transformational leadership and digital literacy, remains limited and dispersed across different streams of literature. This study aims to analyze the role of AI in supporting digital leadership, identify its influence on decision-making effectiveness and team performance, and examine the challenges and ethical implications of its implementation in organizations. The study employs a Systematic Literature Review (SLR) approach by reviewing relevant scholarly literature on AI, leadership, digital literacy, human–AI collaboration, and digital team performance. The findings indicate that AI-based leadership can enhance team management effectiveness when implemented through transformational leadership practices that foster vision, change readiness, learning, and team coordination, and when supported by adequate digital literacy. Conversely, barriers such as low trust in AI, digital competency gaps, resistance to change, and ethical issues remain major challenges. This study contributes by offering a conceptual synthesis that positions AI-based leadership, transformational leadership, and digital literacy within a single framework to explain the optimization of digital team performance in modern work environments.

This study aims to investigate the influence of academic qualifications, managerial capabilities, and Perceived Organizational Support (POS) on emotional exhaustion and its implications for employee productivity at Sunan Kudus Islamic Hospital. Using a quantitative approach, data were collected via a questionnaire from 138 respondents. Instrument evaluation procedures were conducted through validity and reliability tests, while hypothesis testing was analyzed using Structural Equation Modeling (SEM). The findings reveal that academic qualifications and POS have a significant negative effect on emotional exhaustion, indicating that increased intellectual competence and strong organizational support are effective in reducing staff emotional exhaustion. Conversely, managerial capabilities were found to have no significant influence on emotional exhaustion. In the context of performance, the analysis results show that academic qualifications, managerial capabilities, and POS have a partial, positive, and significant effect on work productivity. Practically, this study suggests that hospital management prioritize human capital development and the strengthening of a supportive organizational climate to mitigate emotional exhaustion while accelerating operational efficiency in a sustainable manner.

This study aims to analyze the effect of Knowledge Sharing and Knowledge Leakage on Supply Chain performance, with Monitoring Opportunity as a mediating variable at the Library Office of Mesuji Regency. The research problem arises from the limited structure of knowledge-sharing practices, weak documentation of organizational knowledge, and the potential risk of knowledge leakage that may disrupt the effectiveness of library service supply chains. This study employs a quantitative approach using a survey method. Data were collected through questionnaires distributed to 115 employees of the Library Office of Mesuji Regency and analyzed using Structural Equation Modeling based on Partial Least Squares with SmartPLS. The results show that Knowledge Sharing has a positive and significant effect on Supply Chain performance and Monitoring Opportunity. Knowledge Leakage does not have a significant direct effect on Supply Chain performance, but it has a negative and significant effect on Monitoring Opportunity. Furthermore, Monitoring Opportunity significantly mediates the relationship between Knowledge Sharing and Supply Chain performance, but does not mediate the relationship between Knowledge Leakage and Supply Chain performance. These findings indicate that knowledge sharing becomes more valuable when supported by monitoring capability, while knowledge leakage should be controlled through documentation, access control, and knowledge protection mechanisms. This study contributes to knowledge management and supply chain literature in public library service organizations.

 This study examines women’s transformational leadership in educational institutions through a systematic literature review approach. The increasing involvement of women in leadership positions in schools and universities has attracted academic attention to understand their contribution to organizational development and the improvement of educational quality. This study aims to synthesize recent empirical research findings on women’s transformational leadership in education. The method used was a Systematic Literature Review (SLR) by identifying, evaluating, and synthesizing relevant studies published between 2021–2026 through academic databases such as Google Scholar and ScienceDirect using the keywords “transformational leadership,” “women leadership,” and “education or school.” After a selection process based on inclusion and exclusion criteria, 15 empirical articles were analyzed. The findings indicate that female leaders tend to demonstrate transformational leadership characteristics, including inspirational motivation, intellectual stimulation, idealized influence, and individualized consideration. These leadership practices positively affect teacher motivation and performance, organizational commitment, organizational climate, and learning innovation. However, women in leadership positions still face challenges such as gender stereotypes, structural bias, and social expectations regarding gender roles, indicating the need for institutional support and more inclusive policies.