Building Information Modeling (BIM) has emerged as a transformative tool in addressing sustainability challenges in the construction industry. While Building Information Modeling (BIM) has emerged as a transformative technology for advancing sustainability, its adoption in China faces significant challenges. This study integrated the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) to analyze the factors influencing BIM adoption in green building projects in China. Data were collected from 588 Chinese practitioners and researchers through online and offline questionnaires using a purposive sampling method. The findings revealed that Perceived Environmental Concern, Behavioral Intention, and Perceived Behavioral Control were the most critical factors influencing BIM adoption in green buildings. Additionally, the study demonstrated that BIM system quality, information quality, and system services significantly influenced the perceived usability and ease of use of BIM systems, which were essential for shaping users' acceptance of the technology in green building applications. These findings highlighted the importance of addressing environmental awareness, fostering positive behavioral intentions, and ensuring adequate resources, technical support, and system optimization to enhance BIM implementation. This research provides actionable recommendations for improving BIM adoption in green buildings, contributing to sustainable practices within the construction industry. By aligning with China's carbon reduction goals, the study offers valuable insights to guide policymakers and industry stakeholders in promoting the broader adoption of BIM technology for sustainable development.

In a developing country like the Philippines, it is critical to understand the important factors which lead college students to their current colleges and universities, especially during the COVID-19 pandemic. This study utilized the conjoint analysis approach with an orthogonal design for evaluating understudy's inclination in choosing a college with the various attributes such as the tuition fee, distance or location, employability, academic reputation, recommended by friends and peers, recommended by family or relatives, and the availability to transfer was assessed. A total of 518 Filipino students studying at public and state universities participated in answering the 16 combined attributions about university preference using purposive sampling approach. Based on the utilities estimate, the most important attribute was the tuition fee of the preferred university with an importance value of about 32.839%, followed by the employability rate of the university with about 6% gap difference. The mid-concerned attributes were the distance/location with an estimated of 11.139%, recommendation of friends or peers with approximately 11.689% tying together, and the academic reputation with an estimated of 10.638%. The two least important attributes were identified to be the availability to transfer, having with only about 2.713%, and the recommendation of parents with only 2% difference at approximately 4.453%. The outcomes of this study can aid college chairmen and enrolment specialists tweak their advertising procedures by giving significant data to the chief gatherings engaged with settling college decision choices.

Information and Communications Technology Self-efficacy is an essential factor in promoting technopreneurial interest and fostering technopreneurial competence. This study focuses on the impact of Information and Communications Technology Self-Efficacy on technopreneurial Intention, which technopreneurial Learning mediates. The researchers used an explanatory survey as the research method and gathered 200 selected participants from engineering students in the Philippines during COVID-19 Pandemic. The collected data was analyzed using Structural Equation Modelling (SEM). The results show that Information and Communications Technology Self Efficacy has a positive and significant effect on both technopreneurial Intention and technopreneurial Learning. Additionally, this study established that technopreneurial Learning mediates the relationship between Information and Communications Technology Self Efficacy and technopreneurship Intention. The result indicates that boosting Information and Communications Technology Self-Efficacy and technopreneurship Intention Learning will be more successful in improving technopreneurship Intention.

Techno-entrepreneurship is critical to the growth of society as a useful technique for overcoming youth unemployment. However, the growth of techno-entrepreneurship has been limited with the end outcome being less than satisfying. Hence, the purpose of this study was to determine the factors that influence the possibility of choosing techno-entrepreneurship as a profession among engineering students in the Philippines. There were 200 engineering students selected by stratified random sampling and the significance of the factors was then determined using Pearson correlation analysis. Based on the findings, students’ likelihood of choosing techno-entrepreneurship as a career was not influenced by their equipment availability but by their e-commerce experience, geographical location, and internet ability. This implies the need for academic personnel and instructors teaching techno-entrepreneurship courses to guarantee students have relevant technopreneur knowledge, skills, and competencies that value students’ creativity and innovation to encourage techno-entrepreneurship as a profession.

Electronic cigarettes or e-cigarettes have gained significant popularity as an alternative to traditional cigarettes, yet limited research has examined the factors influencing their adoption, particularly in developing nations like the Philippines, where usage is rising. This study investigates the behavioral drivers of e-cigarette use, with a particular focus on the role of knowledge, alongside social influence, perceived price impact, perceived health impact, and perceived usefulness. Using purposive sampling, 310 valid responses were collected from current e-cigarette users, traditional cigarette users, or individuals with prior experience with these products. A structured questionnaire with 21 indicators was administered, and data were analyzed using Partial Least Square-Structural Equation Modeling (PLS-SEM). The findings reveal that knowledge is the strongest predictor of behavioral intention, highlighting the critical role of informed awareness about the risks and impacts of e-cigarettes in shaping user decisions. Social influence, perceived price impact, and perceived health impact also significantly influence behavioral intention, demonstrating the interconnectedness of cognitive, social, and economic factors. Interestingly, perceived usefulness did not have a significant effect, challenging assumptions about the importance of functional benefits in driving e-cigarette adoption. These results underscore the importance of education and awareness campaigns in addressing misconceptions about e-cigarettes. Policymakers, regulators, and health professionals should prioritize knowledge-driven interventions to empower individuals to make informed decisions and mitigate e-cigarette use, particularly among younger and economically vulnerable populations.