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This study aims to identify the enabling factors for Building Information Modeling (BIM) adoption in Vietnamese construction enterprises and uncover their interrelationships. This will help stakeholders focus on controlling and allocating resources (time, personnel, and costs) appropriately to adopt BIM and differentiate themselves from fierce competition in the architectural, engineering, construction and operations (AECO) industry.

This study first identifies and evaluates 32 enabling factors for applying BIM in the Vietnamese construction industry according to the TOE extended framework. Afterwards, a hybrid questionnaire survey using a convenient sampling method is conducted to capture stakeholders' views. The exploratory factor analysis (EFA) and the partial least squares structural equation modelling (PLS-SEM) technique are then applied to identify the constructs of the enabling factors and their interrelationships.

The study extracts six constructs that could have a significant impact on the adoption of BIM in construction enterprises, namely: technical feasibility (TF), human resources and management (HRM), company business vision (CBV), political environment (PE), economic viability (EV), and legal aspects (LA). Based on eleven proposed hypotheses, the analysis results confirm nine hypotheses and show that the HRM, TF, and CBV have the strongest effects on managers in evaluating the factors for BIM.

The results of the study fill the gap in knowledge by discovering the interrelationships among the enabling factors for BIM adoption in construction enterprises. The results might support the construction enterprises and their stakeholders in increasing the application of BIM, and digital transformation in construction industry.

By using a technology acceptance model (TAM) on survey results collected from two member schools of a Vietnamese educational institution, this study aims to uncover the key factors that affect students’ acceptance of e-learning during the Covid-19 period.

A bilingual questionnaire in English and Vietnamese was delivered. It was pre-tested on 30 participants before it was finalized. The authors first reviewed the measurement model and made adjustments to the theoretical TAM model. Then the adjusted TAM was used to investigate the relationships of the constructs in the model.

The results of the structural model show that computer self-efficacy (CSE) has a positive impact on perceived ease of use (PEOU). There is also a positive relationship between system interactivity (SI) and PEOU. Surprisingly, the authors documented that PEOU has no significant impact on students’ attitudes (ATT). The results show that SI can moderately affect ATT. Finally, it is noted that the social factor (SF) directly affects the student’s attitudes (ATT).

This study contains three limitations. First, as this study only focuses on undergraduate programs, readers should be careful in applying the findings and/or implications of this study to other education levels such as K-12, vocational training and postgraduate programs. Second, the findings are generated within the context of one type of e-learning, conducted via Google Meet. Therefore, future research is needed to provide further validation and comparison across other forms of e-learning. Finally, to further prevent the common bias problem, future research should use both five-point and seven-point Likert scales for the response options in the survey, as well as use negatively worded items. This will help prevent respondents from providing similar answers to all questions.

This study has both theoretical and practical implications. From a theoretical perspective, the study can provide a solid framework for similar studies. From a practical perspective, this study offers implications for governments and universities in the process of adopting e-learning, given that the Covid-19 pandemic is currently in its second and more dangerous wave.

In recent years, climate for innovation has attracted wide attention from industry and academia. It is perceived as a critical component of innovation performance in the built environment sector, especially in architectural design firms (ADFs). This study attempts to assess the degree of climate for innovation in the Vietnamese ADFs under the organizational climate theory.

A list of 13 innovation climate variables was found by reviewing previous studies and discussions with industry practitioners. These variables were then categorized into three principal factors (personal commitment, tolerance of difference, and support for creativity), forming the inputs of the fuzzy synthetic evaluation (FSE) analysis.

The results showed that the overall level of innovation in the climate is moderate, implying that it is still necessary for more improvements to the Vietnamese ADFs. The fuzzy analysis revealed that support for creativity was the most critical factor, followed by tolerance of difference and personal commitment.

The proposed climate for innovation model is practical and reliable for architectural professionals and can be applied to assess other research areas. Few studies have emphasized the innovation climate in the construction sector, so this research may broaden the knowledge and literature on the industry, especially for the ADFs.

Adopting sustainable building materials (SBMs) is one way to reduce the negative environmental impacts of the built environment. However, the adoption of SBMs is not as high as expected. This study aims to investigate which factors affect the adoption of SBMs.

A literature review and discussions with professional practitioners formed an initial list of variables affecting readiness to adopt SBMs. A questionnaire survey was designed, and data from industrial practitioners were collected using the snowball sampling method. The data collected from 218 respondents were analyzed using the PLS-SEM technique.

The findings show that SBM adoption is critically influenced by readiness at different levels (market, organization, and employee). Specifically, market readiness enhances organization preparedness (beta = 0.628), and organization readiness positively affects employee readiness (beta = 0.510). Market, organization, and employee readiness positively impact the adoption of SBMs (beta = 0.386, 0.364, and 0.158, respectively). Moreover, the relationship between market and employee readiness is fully mediated by organization readiness (indirect effect = 0.320; p = 0.000). Organization readiness positively mediates the relationship between market readiness and SBM adoption (indirect effect = 0.050; p = 0.001). The relationship between organization readiness and SBM adoption is fully mediated by employee readiness (indirect effect = 0.229; p = 0.000). Additionally, employee readiness positively mediates the relationship between market readiness and SBM adoption through organization readiness (indirect effect = 0.080; p = 0.000).

While past studies have predominantly focused on human perception, this study recognizes the importance of contextual factors like market conditions, Organization readiness, and employee readiness in shaping the adoption of SBMs. Thus, it fills a notable void in the literature and highlights the need for a broader theoretical framework that incorporates both individual perceptions and external contextual influences.