KJCKorea
Journal Central

This study examined the effects of social intelligence and digital leadership on creative behavior and the mediating effects of knowledge sharing behavior and worker pride. The research model was tested using data collected from June 18, 2025 to June 26, 2025 through a survey of 400 general workers in various industries in Korea, and PLS-SEM was used. The main findings of the study are as follows First, social awareness and social information processing skills of social intelligence significantly influenced knowledge sharing behavior, while social skills were not significant, and digital leadership and worker pride significantly influenced knowledge sharing behavior and creative behavior. Second, social awareness and social information processing skills significantly mediated knowledge sharing behavior and digital leadership significantly mediated creative behavior through knowledge sharing behavior and worker pride, but the mediation effect of social skills was rejected. Third, the sequential mediation effect of digital leadership from worker pride to knowledge sharing behavior was found to be statistically significant. These findings suggest that digital leadership can have a significant impact on employees' creative behaviors by promoting knowledge sharing and psychological change in the digital environment, and provide strategic implications for Korean companies on how to foster a knowledge sharing culture and promote creative behaviors through enhancing worker pride.

This study was conducted to analyze the mediating effect of Perceived Difficulties in the Start-up Process on the relationship between the Perceived Importance of Entrepreneurial Preparation Activities and Business Continuity among Small Business Owners. For this purpose, data from the 2022 Small Business Survey were analyzed, with a total of 22,947 Small Business Owners included in the sample. The data were analyzed using SPSS, employing frequency analysis, correlation analysis, and hierarchical regression analysis. The main findings are as follows. First, the results of the correlation analysis indicated no multicollinearity issues, and among the sub-factors of Perceived Difficulties in the Start-up Process, Administrative Procedures and Business Management showed the highest correlations. Second, the hierarchical regression analysis revealed that Perceived Difficulties in the Start-up Process-specifically in Business Type Selection, Administrative Procedures, and Business Management-fully mediated the relationship between Perceived Importance of Entrepreneurial Preparation Activities and Business Continuity. The Sobel test also confirmed the significance of the indirect effects. In particular, Business Type Selection exhibited the strongest influence. This study provides practical implications for developing sustainable entrepreneurial strategies by demonstrating that Perceived Importance of Entrepreneurial Preparation Activities affects Business Continuity through Perceived Difficulties in the Start-up Process.

With the rapid advancement of Artificial Intelligence(AI), its application has expanded across various professional fields, including private investigation service. While AI-based investigation offers enhanced efficiency and precision over traditional manual approaches, it also raises critical ethical concerns. This study classifies and analyzes five major ethical dilemmas in the use of AI by private investigators; (1) violation of personal privacy, (2) lack of credibility and admissibility of AI-generated evidence, (3) potential for intrusive surveillance, (4) contribution to a surveillance society, and (5) overreliance on AI-generated data prone to errors or hallucinations. By reviewing practical AI applications such as OSINT collection, video/audio analysis, big data profiling, and deep-learning-based pattern detection, this paper explores the ethical risks inherent in modern investigative practices. In addition, the study compares international AI ethics regulations, including those of Korea, the EU, the U. S., and Japan, to propose appropriate ethical guidelines and verification systems tailored to the private investigation industry. Ultimately, the paper argues that private investigators must pursue not only technical optimization through AI but also establish and uphold ethical standards that safeguard client rights and public trust.