This research aims to investigate the intricate interplay between Artificial Intelligence (AI), Organizational Databases, Risk Management, and profitability within the Indonesian banking sector. Employing a quantitative research design, the study seeks to understand the mediating role of Risk Management in the relationships among AI, Organizational Databases, and profitability. The key findings underscore the pivotal importance of Risk Management as a mediator, emphasizing the necessity for a comprehensive risk-aware strategy in optimizing the impact of AI and high-quality databases on financial performance. The research contributes theoretically by providing nuanced insights into the dynamic relationships between technology adoption, risk mitigation, and financial success. Limitations include contextual specificity and temporal constraints, acknowledging the need for caution in generalizing findings. The practical contributions involve recommendations for organizations to continuously monitor and adapt their AI implementations and risk management strategies. The study sets the stage for further research, advocating for cross-industry studies, longitudinal analyses, and in-depth case studies to enhance the understanding of these complex dynamics. Overall, this research provides actionable insights for practitioners and contributes to the ongoing discourse on the evolving landscape of technology, risk management, and financial success.

Online shopping is recently showing rapid development. There are a lot of e-commerce sites with several categories that appear in the community, along with changes in the way people shop from conventional shopping into virtual shopping. The most publicly visited e-commerce sites are C2C e-commerce sites, namely Tokopedia, Shopee, Bukalapak, and Elevenia. However, the popularity of C2C e-commerce sites must be reviewed since there is a decrease in marketing performance and in brand share over the period 2018-2019, which can weaken and harm C2C e-commerce sites. This research was conducted to analyze the factors that influence trust, purchase intention, and transaction security to improve consumer purchasing decisions of C2C e-commerce sites in Central Java. Using data from 160 respondents who had made purchases on the C2C e-commerce site throughout 2019, ten hypotheses were proposed through the Structural Equation Model (SEM) analysis. The results show that purchasing decisions were influenced by trust. Consumer trust increases if the quality of the products provided by the website is adequate, thus will shape consumer trust.