International Journal of Digital Entrepreneurship and Business

Predicting Financial Distress in a Turbulent World: a Comparative Machine Learning Analysis Across Nations

Syahril — 2026-05-07

This study evaluates the performance of six machine learning models in predicting financial distress, focusing on Indonesia and comparing with other nations. Using metrics like accuracy, AUC Macro, F1 Macro, F1 Weighted, and Log Loss, we find the Random Forest model with a Standard Scaler Wrapper performs best across most metrics, while LightGBM with MaxAbs Scaler is preferred for deployment due to its robustness and scalability. We analyze feature importance of identifying key factors influencing financial distress, such as investment growth, GDP growth, and economic uncertainty. Our findings highlight the critical role of machine learning in economic forecasting and policymaking, emphasizing the importance of digital optimization and AI-driven decision-making in addressing global financial stability.

The Effect of Financial Performance, Frim Size and Transfer Pricing on Tax Avoidance

Rosa Tri Wirnarni — 2026-05-07

This study aims to analyze the effect of financial performance, firm size, and transfer pricing on tax avoidance. This study used 19 samples of mining companies in the energy sector listed on the Indonesia Stock Exchange (IDX) during 2019 - 2023 with a total of 95 observation data. In determining the research sample, the purposive sampling method was used, with path analysis processed using SmartPLS. The results of this study state that financial performance has no effect on tax avoidance. While firm size has an effect on tax avoidance. While transfer pricing has no effect on tax avoidance.

Keywords: Financial Performance, Firm Size, Transfer Pricing, and tax avoidance

Building Financial Well-Being in the Digital Era: The Interplay of Digital Financial Literacy, Financial Behavior, and Financial Socialization

Khadijah Raihana Putri Nufrianto — 2026-07-31

The rapid expansion of digital financial services has transformed the way individuals manage their personal finances, particularly among productive-age populations who actively engage with financial technology. While digital financial inclusion continues to increase in Indonesia, disparities between financial access and financial literacy remain a significant challenge, potentially affecting individuals' financial well-being. This study aims to examine the influence of digital financial literacy, financial behavior, and financial socialization on the financial well-being of Indonesia's productive-age population. A quantitative research design was employed using a structured online questionnaire distributed to individuals aged within the productive workforce who had at least two years of work experience and had used digital financial services. The collected data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The findings indicate that digital financial literacy, financial behavior, and financial socialization each have a positive and significant effect on financial well-being. Individuals with stronger digital financial competencies, healthier financial behaviors, and greater exposure to financial socialization demonstrate higher levels of financial well-being. These findings highlight the importance of integrating financial education, behavioral development, and social influences to improve financial well-being in the digital era. The study contributes to the behavioral finance literature by providing empirical evidence from Indonesia's productive-age population and offers practical implications for policymakers, financial institutions, and financial education providers in designing programs that strengthen digital financial capability and sustainable financial well-being.

A Customer Engagement Model for Enhancing Brand Loyalty and Repurchase Intention Among Skincare Consumers Through Social Media Marketing Activities, E-Service Quality, and E-WOM

Arjuna Wiwaha — 2026-08-11

This study investigates the effects of social media marketing activities (SMMA), e-service quality, and electronic word of mouth (e-WOM) on customer engagement and examines their subsequent influence on brand loyalty and repurchase intention among skincare consumers using TikTok in Jakarta, Indonesia. A quantitative approach was employed by collecting data from 400 respondents through purposive sampling. The data were analyzed using Structural Equation Modeling (SEM) with AMOS. The findings indicate that e-service quality and e-WOM have significant positive effects on customer engagement, whereas SMMA does not significantly influence customer engagement. Furthermore, customer engagement positively affects brand loyalty, which in turn significantly enhances repurchase intention. Among the antecedent variables, e-service quality emerges as the strongest predictor of customer engagement. These findings suggest that skincare companies should prioritize improving digital service quality and encouraging positive electronic word of mouth to strengthen customer engagement, foster brand loyalty, and increase customers' intention to repurchase products through TikTok.

Work-Life Balance, Work Environment, and Employee Job Satisfaction in a Treasury Cooperative

Delvy Pramia Ardhela — 2026-08-16

This study aims to analyze the influence of work-life balance and work environment on job satisfaction of employees at the Employee Cooperative of the Central Office of the Directorate General of Treasury, Ministry of Finance. The research methodology employs a quantitative approach with an associative research design. The sample comprises 33 employees using a saturated sampling technique (census). Data collection was conducted through questionnaire distribution measured using a five-point Likert scale. Data analysis was performed using multiple linear regression analysis assisted by IBM SPSS Statistics 25 software. The findings indicate that: work-life balance has a positive and significant influence on job satisfaction with a significance value of 0.000, work environment has a positive and significant influence on job satisfaction with a significance value of 0.000, and work-life balance and work environment together have a positive and significant influence on job satisfaction with a significance value of 0.000. The results of the multiple linear regression analysis yielded the equation Y = -5.843 + 0.644X1 + 0.479X2, indicating that work-life balance and the work environment enhance employee job satisfaction. The coefficient of determination (R²) of 0.916 indicates a very strong relationship between the independent variables and the dependent variable. Meanwhile, the adjusted R² of 0.828 indicates that work-life balance and work environment account for 82.8% of the variation in job satisfaction, while the remaining 17.2% is influenced by other factors outside the scope of this study. This study concludes that work-life balance, work environment, and job satisfaction have a significant influence on job satisfaction, both partially and simultaneously. Therefore, organizations need to pay attention to employees’ work-life balance and create a conducive work environment to enhance employee job satisfaction.