Purpose: In the era of the Fourth Industrial Revolution, individuals equipped with fundamental understanding and practical skills in artificial intelligence (AI) are essential. This study aimed to validate the effectiveness of AI education for enhancing AI literacy among business major student. Research design, data and methodology: Data for analyzing the effectiveness of the AI Fundamental Education Program for business major students were collected through surveys conducted at the beginning and end of the semester. Structural equation modeling was employed to perform basic statistical analyses regarding gender, grade, and prior software (SW) education duration. To validate the effectiveness of AI education, seven variables - AI interest, AI perception, data analysis/utilization, AI projects, AI literacy, AI self-efficacy, and AI learning persistence - were defined and derived. Results: All seven operationally defined variables showed statistically significant positive changes. The average differences were observed as follows: 0.47 for AI interest, 0.32 for AI perception, 0.37 for data analysis/utilization, 0.27 for AI projects, 0.25 for AI literacy, 0.39 for AI self-efficacy, and 0.41 for AI learning persistence. Statistically, AI interest exhibited the most substantial average difference. Conclusions: Through this study, the applied AI education was confirmed to enhance learners' overall competencies in AI, proving its utility and effectiveness in AI literacy education for business major students. Future research endeavors should build upon these results, focusing on ongoing studies related to AI education programs tailored to learners from diverse academic backgrounds and conducting continuous efficacy evaluations.

Purpose: This paper aims to suggest ways to apply the leading technologies of Industry 5.0 to the housing welfare field, tasks for this, and policy implications. Research design, data, and methodology: The analysis method of this study is a literature study. The analysis steps are as follows. Technology trends and characteristics of Industry 5.0 were investigated and analyzed. The following is a method of applying technology 5.0 in the industrial field. Finally, the application areas of each technology and the challenges to be solved in the process were presented. Results: The results of the analysis are 1) the accessibility and diffusion of technology. This means that all citizens have equal access to and use of the latest technology. To this end, the appropriate use of technology and the development of a user-centered interface are needed. 2) Data protection and privacy. Residential welfare-related technologies may face risks such as personal information leakage and hacking in the process of collecting and analyzing residents' data. 3) Stability, economic feasibility, and sustainability of the technology. Conclusions: The policy implications include: 1) Enhancing technology education and promotion to improve tech accessibility for groups like the low-income, rural areas, and the elderly, 2) Strengthening security policies and regulations to safeguard resident data and mitigate hacking risks, 3) Standardization of technology, 4) Investment and support in R&D.

Purpose: This study conducted an empirical study to identify the current status of real estate managers' ESG awareness and to derive recommendations for improvement. Research design, data and methodology: A survey was conducted among those who actually manage real estate assets regardless of region. Descriptive statistical analysis, paired sample t-test, and IPA analysis were conducted using SPSS 27.0 statistical package. Results: The results of the t-test showed that respondents perceived their on-site management achievements to be lower than their perceived importance in all areas of ESG. In the IPA matrix, the mean of achievement is higher than 3, which is moderate. Environment (E) was found to be relatively low in importance. In the Social (S) aspect, the achievement level was low compared to its importance, and Governance (G) was found to be low in importance. Conclusions: Based on the analysis, it seems that policies are needed to emphasize the importance of environmental issues such as greenhouse gas reduction in the environment (E) sector and to strengthen realistic achievement in the social (S) and governance (G) sectors.

Purpose: This study aims to determine the marketability of the heritage sites in Region III, Philippines. More specifically, it will obtain information on the: (a) profile of the heritage sites in Central Luzon; (b) dimensional issues of their marketability along social, environmental, and economic lines; (c) quality of services in terms of tangibility, responsiveness, empathy, assurance, and reliability; and (d) its business model canvas. Research design, data, and methodology: This will utilize a descriptive survey of the heritage sites in Central Luzon, namely: Aurora, Nueva Ecija, Bulacan, Pampanga, Tarlac, Zambales, and Bataan. There will be 60 respondents, including 5 facilitators, 24 residents, and 31 tourists. The results will be statistically measured through the measures of central tendencies, dispersion, and the test of significance. Result and conclusion: This study will comprehensively examine the local tourism sector, benefiting various stakeholders. It serves as a valuable resource for tourists by providing insights into destination marketing strategies and enhancing heritage tourism experiences. Administrators benefit from coping strategy evaluations, aiding in the formulation of effective strategies aligned with industry goals. Tourism businesses align with industry objectives and the study streamlines ordinances for site protection for local government units. Additionally, the community gains empowerment through insights into employable activities and potential businesses, influencing assessments of the justification for local preservation ordinances.

Purpose: The purpose of this study was to identify the relationship between smart factory utilization and continued use intention between UTAUT, dynamic capabilities of smart factory construction companies and present the company's strategic direction. Research design, data, and methodology: In this study, a structured research model was derived to confirm the relationship between UTAUT, dynamic capabilities, smart factory utilization and continued use intention and the difference according to Technology perception. For analysis a total of 223 valid questionnaires from e-commerce users were used. Confirmatory factor analysis, correlation analysis, and structural equations were conducted to verify. Results: Both UTAUT, dynamic capabilities had a significant effect on smart factory utilization as well as continued use intention. It was found that the relationship between UTAUT, dynamic capabilities, smart factory utilization, and continued use intention. differed depending on the technology perception. Conclusions: Organizational members utilize the smart factory in anticipation of effects such as work performance and various improvements. Smart factory data will be used continuously when it is useful for business processes and operations. It is necessary to establish strategies and provide training to improve the technical level and capabilities of organizational members. Through this, a strategy is needed that can be continuously used by utilizing the information obtained through smart factory to improve work efficiency, productivity and efficiency increase is needed