Internet of Things (IoT) conception has become a popular trend among industries. Many have already adopted the technology and put it into practice. IoT can incentive and change the way people conduct business in the construction industry. The objective of the research is to figure out the impact factors that influence practitioners’ willingness to adopt IoT in Taiwan’s construction industry. The hypothesis was developed based on a comprehensive literature review and the concept of the Unified Theory of Acceptance and Use of Technology (UTUAT). The UTUAT framework and hypotheses developed included 5 main hypotheses, 6 aspects and 33 stems. A pilot study aimed at experienced practitioners in the industry was carried out before the full-scale survey to adjust the stems. The adjusted questionnaire including 31 stems belonging to 7 aspects was then distributed to practitioners. A total of 282 valid questionnaires distributed were collected and 6 types of analysis (descriptive statistics, reliability, validity, t-test, one-way of variance, and structural equation modelling). The findings including (1) anticipated benefits significantly affect the users’ willingness to adopt IoT; (2) anticipated efforts significantly affect the users’ willingness to adopt IoT; (3) societal expectations significantly affect the users’ willingness to adopt IoT.

Transit-oriented development (TOD) is a crucial method for sustainable urban development and encouraging the use of public transit, especially for large densely populated cities such as Can Tho City, one of the top five cities in Vietnam. This study is aimed at identifying the factors which have a significant effect on the citizens’ engagement of public transport in the TOD environment. Based on the literature review and expert knowledge, 3 hypotheses related to citizens’ perceptions and citizen’s engagement are developed. A questionnaire was accordingly established using structural equation modeling (SEM). As a result, a total of 8 factors with 31 stems were obtained. The survey questionnaires were distributed to citizens of Can Tho City with 749 responses collected for KMO test Chi-square of 0.905. The analysis shows that all three hypotheses stand: (1) the citizens’ perception of local government’s capacity plays an important role in the citizens’ willingness to engage on public transport; the citizens’ perception of the usefulness of (2) TOD and (3) public transport has a positive influence on the engagement on public transport system. The major contribution of this study is that it can help other cities in developing countries to apply TOD.

This article assesses the impact of climate change on the fishing activities of businesses, households and fishermen in the Northern coastal villages of Vietnam. From the data published by the state agencies and case studies in some fishing villages in the Northern region, this article assumes that the coastal fishing villages has a long history, making important contributions to the economic and social development. In recent years, fishing activities have expanded but are also affected by the consequences of climate change. Aware of this problem, businesses, households and fishermen have many measures to respond, but the effectiveness is still not high. Therefore, the study suggests that the government should pay more attention to improving the ability to predict early, accurately the location and evolution of rain, storm, etc. Exploiters need to be more proactive in equipping rescue equipment on ships and boats when going out to sea.

Civil engineering students often struggle with low motivation and limited practical experience. This study evaluates a blended model integrating team-based learning (TBL) and an immediate response system (IRS) in a senior Civil Construction Methods course. Using one-sample t-tests against the scale neutral midpoint, results show that the TBL–IRS approach was associated with notable levels of behavioral, emotional, and cognitive engagement ( p < 0.001 ), with Cohen’s d ranging from 1.04–2.37 for engagement items and from 1.08 to 1.57 for satisfaction items all substantially exceeding the large-effect threshold ( d > 0.8 ). Learning satisfaction and perceived effectiveness were likewise substantially above. Regression analyses further confirmed a sequential predictive chain engagement was associated with satisfaction; engagement was associated with learning effectiveness, and satisfaction in turn was associated with effectiveness with all three models demonstrating large explanatory power. These findings provide evidence that the TBL–IRS blended model as an effective approach to enhancing motivation and learning outcomes in practice-oriented civil engineering courses, and propose an integrated framework linking engagement, satisfaction, and effectiveness to advance active learning theory in engineering education.