Emotional intelligence (EI) is an important psychological foundation in modern leadership practice. Leaders who have high EI tend to be able to understand and manage their own and others' emotions effectively, allowing for the implementation of a more adaptive and positive leadership style. Transformational leadership, for example, relies heavily on the leader's ability to show empathy, build intrinsic motivation, and provide individual attention to subordinates. EI strengthens these capacities and encourages leaders to create harmonious and inspiring working relationships. On the other hand, leaders who are low in EI tend to be authoritarian or use a rigid transactional leadership style, which has a negative impact on employee satisfaction and performance. Leadership effectiveness, in this context, is determined not only by the style used, but also by the emotional quality of the leader in executing the style. Therefore, the integration of EI and leadership style contributes directly to the achievement of organizational goals through increased individual performance, loyalty, and a productive work climate. Thus, the development of EI is a strategic need in today's leadership training and development.

This study aims to analyze the factors influencing the risk perception of stock investments among Generation Z in Indonesia. The research method used is quantitative, employing a survey approach through questionnaires. The analytical technique applied is multiple linear regression. The results of the study indicate that financial literacy, investment experience, and social influence significantly impact risk perception. These findings have important implications for financial education providers and capital market institutions.

The development of digital technology encourages business entities to utilize e-commerce to expand their market. However, many have difficulty managing financial reports because the online sales system is not yet integrated. Ewilla Sewing, a convection business, still records finances manually and separately from online sales.  This study designs and implements an integrated e-commerce financial management accounting system to improve the accuracy, efficiency, and reliability of financial reports. The research method uses a descriptive qualitative approach with observation, interviews, and document analysis. The system was developed with a waterfall model. The results of the study show that the system is able to manage finances more efficiently, accelerate reporting, provide real-time data, support internal audits, and help make more appropriate decisions for Ewilla Sewing.

The industrial sector that plays an important role in improving the economy and sustainable development in the world is the mining sector. Despite its significant contribution, this industry faces challenges in managing various negative impacts that can pollute the environment and society. Conflicts can arise with the surrounding community due to differences in views or perceptions about existing natural resources. Investors assess a company's success based on the value it holds. This study aims to analyze the impact of stock prices, profitability, and debt covenant on company value, as measured using Price Book Value, in mining companies listed on the Indonesia Stock Exchange during the 2019-2023 period. The data analysis method used is multiple linear regression. The results of the study indicate that stock prices, profitability, and debt covenant have a positive and significant effect on company value.

This study analyzes the influence of financial performance indicators—ROA, ROE, NPM, and Working Capital—on stock returns of transportation companies listed on the Indonesia Stock Exchange during 2019–2023. Using multiple linear regression, the findings indicate that ROA and ROE significantly and positively affect stock returns, while NPM has no significant effect. Conversely, Working Capital shows a negative significant effect.

Talent management strategies have become a key focus for organizations in facing employee retention challenges, especially in millennials and Gen Z who have unique characteristics and different work needs compared to previous generations. This study aims to explore effective talent management strategies to increase employee retention in the two generations through a literature review approach. Data is taken from various academic studies, industry reports, and relevant journal articles in the last 10 years. The results of the study show that strategies that emphasize work flexibility, structured career development, inclusive organizational culture, and the use of digital technology in human resource management have a significant influence on employee retention. In addition, employee involvement in strategic decision-making is also a key factor in increasing the loyalty of millennials and Generation Z. This research providesKeywords: enterprise resource planning, supply chain management, system implementation, company performance improvement, systematic literature review.

The purpose of this study is to analyze the effect of perceived benefits and perceived risks on the continued use of the Gopay e-wallet, with trust as a mediating variable. Data were collected through questionnaires using purposive sampling method, with 213 respondents as samples. The SEM-PLS method was applied in data analysis using SmartPLS software version 4.1.0.9. The results of this study are (1) perceived benefits have a positive and significant effect on the continued use of the Gopay e-wallet, (2) perceived risk does not have a significant effect on the continued use of the Gopay e-wallet, (3) trust has a positive and significant effect on the continued use of the Gopay e-wallet, (4) perceived benefits have a significant positive effect on the continued use of the Gopay e-wallet through trust, (5) perceived risk also has a significant positive effect on the continued use of the Gopay e-wallet through trust.

This study aims to analyze the impact of the use of Quick Response Code Indonesian Standard (QRIS), perceived ease of use, and security risk on food purchasing decisions at Resto Tom Sushi, with user experience as a mediating variable. The increasing adoption of digital payments through QRIS and mobile banking (m-banking) has changed consumer transaction patterns, especially in the restaurant industry. This study uses a quantitative approach with a survey method involving QRIS and m-banking users at Resto Tom Sushi. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results showed that the use of QRIS, perceived ease of use, and security risk had a significant effect on purchasing decisions. In addition, user experience plays a mediating role that strengthens the relationship between independent variables and purchasing decisions. These findings emphasize the importance of good user experience and digital literacy in increasing the effectiveness of digital payments and encouraging the adoption of non-cash payments in the culinary sector.

The implementation of Artificial Intelligence-based Decision Support Systems (AI-DSS) in recruitment has significantly enhanced efficiency; however, concerns regarding algorithmic bias persist. Existing AI-DSS models primarily emphasize explicit data, often neglecting psychological and behavioral factors essential for fair recruitment. This study integrates Person-Job Fit and Person-Organization Fit theories into AI-DSS while employing adaptive learning techniques to mitigate bias. Using a mixed- methods approach with an explanatory sequential design, this research combines quantitative analysis (statistical comparisons of AI-DSS and traditional hiring methods, bias evaluation using fairness metrics) with qualitative insights (interviews with HR professionals and candidates). The findings indicate that AI-DSS improves selection efficiency and candidate performance yet remains susceptible to biases derived from historical data. Adaptive learning enhances fairness; however, ethical concerns about transparency and accountability persist. This research strengthens the AI recruitment debate by suggesting a comprehensive model that balances the operational efficiency, ethical needs, and fair practices. Explaining AI paradigms requires additional research to establish trust and flexibility for AI recruitment systems.

This study aims to examine the factors influencing students' financial management behavior, focusing on the roles of financial attitude, financial knowledge, and internal locus of control, while also considering financial technology as a moderating variable. Data were collected from 196 students at Dian Nuswantoro University and Semarang State University using a Likert-scale questionnaire. The findings indicate that financial attitude and financial knowledge significantly influence financial management behavior. Furthermore, financial knowledge significantly affects internal locus of control, which in turn influences financial management behavior. However, financial technology does not moderate the relationship between internal locus of control and financial management behavior. These results highlight the importance of comprehensive financial literacy and the prudent use of financial technology to support effective financial management among university students.