The transformation of the workplace in the digital era has pushed organizations to adopt more adaptive and inclusive leadership styles, particularly in managing and retaining talent. Inclusive leadership is believed to foster a psychologically safe work environment, build trust, and enhance employee engagement—key factors influencing talent retention decisions. This study aims to examine the impact of inclusive leadership on talent retention, by exploring the mediating roles of psychological safety, trust, and employee engagement. A quantitative approach was employed through an online survey involving 150 respondents from the professional and technology sectors. Data analysis was conducted using multiple linear regression and Structural Equation Modeling (SEM) with the support of SPSS and SmartPLS. The findings reveal that inclusive leadership significantly influences talent retention, both directly and indirectly through the three mediating variables. These results highlight the importance of leadership styles that are attuned to employees’ psychological needs. Theoretically, this study contributes to the growing body of literature on leadership and employee retention. Practically, it offers strategic recommendations for organizations to develop sustainable human resource management policies focused on employee well-being—particularly in the context of an increasingly digital and flexible work environment.

Advancements in fintech algorithms have improved decision-making efficiency in credit scoring, investment advice, and financial product offerings. However, these automated systems raise ethical concerns related to algorithmic bias, lack of transparency, and accountability. Social inequalities embedded in historical data risk reinforcing discrimination in digital financial services, particularly in Southeast Asia’s evolving regulatory environment. This study explores ethical dilemmas in algorithmic decision-making across fintech platforms and assesses company responses. Using a qualitative multiple-case study of three Indonesian fintech firms in peer-to-peer lending, e-wallet, and robo-advisory sectors, data were gathered through semi-structured interviews and internal document analysis. Results indicate algorithmic bias as the most critical issue, followed by transparency and accountability gaps. Peer-to-peer lending firms demonstrate better ethical readiness via regular audits, while others show limited mitigation efforts. The study proposes a conceptual model emphasizing fairness, transparency, and accountability, offering practical insights for regulators and industry to strengthen ethical governance in Indonesia’s AI-based fintech ecosystem.

The use of Artificial Intelligence (AI) in digital marketing is rapidly expanding, enabling highly personalized strategies for consumers. However, this advancement also raises serious concerns about data privacy, especially amid varying regulations such as the GDPR (Europe), CCPA (United States), and local policies across Southeast Asia. This study examines how AI technologies like Natural Language Processing (NLP) and predictive analytics can adaptively balance personalization with privacy protection. It also explores the emotional dimension of consumer responses—particularly trust and anxiety—and how these emotions shape perceptions of digital marketing strategies under different regulatory contexts. A mixed methods approach was employed, combining survey data from 400 respondents across three regions and in-depth interviews with 20 extreme-case participants. The analysis utilized tools such as SmartPLS, NVivo, and visual platforms like Tableau AI and MonkeyLearn. Findings reveal that limiting the collection of sensitive data can increase consumer acceptance by up to 23% without compromising marketing effectiveness. Consumer trust emerged as a key mediating factor, while anxiety amplified the demand for transparency. In Southeast Asia, incentive-based strategies were found to be 35% more effective than regulatory approaches. These findings underscore the importance of integrating technological, emotional, and cultural dimensions when designing ethical and context-aware digital marketing strategies.

The purpose of the study is to determine and test whether partially the size of the company, the age of the company, is significant to the audit tenure and audit delay and also to test whether the audit tenure is able to mediate the effect of reducing the effect of the relationship between company size, company age and audit delay. Secondary quantitative financial statements of 48 Indonesia Stock Exchange companies in the property and real estate sector. Samples were obtained by 48 companies by purposive sampling. Analysis with path analysis software SPSS v24. The company's age results are the only significant variable to audit delay. While audit tenure, partial company size is not significant to audit delay, and audit tenure cannot increase influence as an intervening variable.

This study aims to analyze the influence of profitability, asset growth, and company size on the capital structure of companies listed on the Indonesia Stock Exchange. Capital structure is a crucial element in financial management that affects funding decisions and company risks. The analysis method used was multiple regression, with a sample during the period 2014-2018. The results showed that profitability had a significant negative effect on capital structure, indicating that high-profit companies tended to use less debt. Asset growth, on the other hand, has a significant positive effect on capital structure, suggesting that fast-growing companies are more likely to capitalize on debt. Meanwhile, the size of the company does not show a significant influence on the capital structure. These findings provide important insights for managers in formulating effective and efficient funding strategies, and emphasize the need to consider internal and external factors in decision-making related to capital structure.

Problems that still occur in the current condition of PT MASSINDO, which is located at Jalan Gatot Subroto no 23, Block 9, Semarang City, in the process of selling springbeds, still often experience fluctuations in sales of several types and types of springbeds which are influenced by the number of goods to be sold which do not match the number of sales, thus causing a lot of losses. Therefore, it is necessary to carry out an analysis process on sales that will occur in the coming period to increase the company's sales turnover and make cash turnover more stable. The method that will be used as a consideration for companies to stabilize sales of goods is the Trend Moment method.

Pengabdian kepada masyarakat ini bertujuan untuk memperkenalkan dan meningkatkan pemahaman tentang literasi keuangan dan manakemen keuangan  dalam beberapa hal mencatat transaksi keuangan antara lain harga beli pertama kali, harga waktu djual, selisih kerugian jika tidak laku, dan serta menghitung laba rugi keuntungan atau kerugian sederhana bagi para pelaku UMKM di sekitar Kelurahan Pendrikan Lor, Semarang Tengah, Kota Semarang. Pendekatan ceramah yang menggunakan media visual sebagai alat pendukung, dan dilengkapi dengan sesi tanya jawab, terbukti sangat efektif dalam menyampaikan materi tersebut.