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Electronic bidding (e-bidding) offers a promising approach to promoting sustainable construction practices, yet research on its benefits and barriers remains underresearched. This study addresses this gap by investigating stakeholder perceptions to examine prominent benefits and barriers to implementing e-bidding for sustainable construction practices in Vietnam.

Data from 104 construction professionals in Vietnam were analyzed through various statistical methods such as reliability testing, ANOVA analysis, Tukey’s post hoc analysis and ranking by mean scores.

The ANOVA and Tukey’s post hoc tests revealed significant differences in how owners, authorities, and contractors perceive the benefits and barriers of e-bidding. The findings highlighted several key benefits, including enhanced storage and retrieval of information, support for digital transformation in construction and facilitation of new contractor entrance. In addition, the analysis underscored critical barriers, such as security and data privacy concerns, incompatible tools and a lack of support and expertise on national bidding platforms.

This study contributes to the body of knowledge by examining key stakeholders’ perceived benefits and barriers associated with e-bidding implementation in the context of sustainable construction practices. Practically, this study proposed specific actionable recommendations for stakeholders in Vietnam, which can ultimately contribute to more sustainable construction practices and enhance the efficiency and effectiveness of e-bidding processes.

Vietnam's construction technology (CT) adoption is low when compared to other countries with similar gross domestic product (GDP) per capita resulting in lesser productivity. The research objectives are: (1) To undertake an extensive literature review on CT adoption challenges; (2) To investigate CT adoption challenges unique to Vietnam's construction sector; and (3) To propose data-driven solutions for a greater rate of CT adoption.

A two-stage descriptive survey method was adopted in alignment with the research aim and objectives. Based on the literature review of 215 articles, a questionnaire was designed and administered to experienced construction managers (CM) to identify whether CT has been adopted, barriers to adoption, drivers, and the most popular CT tools. Descriptive statistics were used to summarize the characteristics of interest in the empirical dataset and SPSS-based inferential statistics to estimate the means, frequency counts, variance and test hypotheses that informed the drawing of conclusions concerning the research objectives.

The popular CT tools identified were Autodesk, Microsoft Office and Primavera. The most influential CT adoption barriers: (1) Unknow`n impact on productivity, (2) Late implementation of software in construction projects, (3) Lack of understanding of importance and needs in the construction industry (4) Lack of funds during budget planning for technological advances and implementation (5) Lack of experts required for technological change, and insufficient skills in the industry.

It is expected that the findings could inform data-driven regulatory and practice reforms targeted at increasing greater uptake of CT in Vietnam with potential for replication in countries facing similar adoption challenges.

The findings are intended to support data-driven regulatory and practice improvements aimed at improving CT adoption in Vietnam, with the possibility for replication in other countries facing comparable problems.

The COVID-19 outbreak reached a critical stage when it became imperative for public health systems to act decisively and design potential behavioral operational strategies aimed at containing the pandemic. Isolation through social distancing played a key role in achieving this objective. This research study examines the factors affecting the intention of individuals toward social distancing in India.

A correlation study was conducted on residents from across Indian states (N = 499). Online questionnaires were floated, consisting of health belief model and theory of planned behavior model, with respect to social distancing behavior initially. Finally, structural equation modeling was used to test the hypotheses.

The results show that perceived susceptibility (PS), facilitating conditions (FC) and subjective norms are the major predictors of attitude toward social distancing, with the effect size of 0.277, 0.132 and 0.551, respectively. The result also confirms that the attitude toward social distancing, perceived usefulness of social distancing and subjective norms significantly predict the Intention of individuals to use social distancing with the effect size of 0.355, 0.197 and 0.385, respectively. The nonsignificant association of PS with social distancing intention (IN) (H1b) is rendering the fact that attitude (AT) mediates the relationship between PS and IN; similarly, the nonsignificant association of FC with IN (H5) renders the fact that AT mediates the relationship between FC and IN.

The results of the study are helpful to policymakers to handle operations management of nudges like social distancing.

The research is one of its kind that explores the behavioral aspects of handling social nudges through FC.

Given that a prerequisite for COVID-19 transmission is the interaction between individuals, it is reasonable to suspect that transportation networks may have contributed to the spread of COVID-19. This study uses the air transportation network to quantify the risk of COVID-19 spread in the United States. The proposed model is applied at the county level and identifies the risk of importing COVID-19-infected passengers into a given county. We also undertake an examination of the factors influencing the spread of COVID-19 in relation to air travel. Utilizing an extensive dataset encompassing various socioeconomic, demographic, and healthcare-related variables, our results indicate a positive relationship between these factors and the relative risk of COVID-19 spread, highlighting the pronounced impact of population density, air travel volume, and larger household sizes on increasing travel-related risk. Conversely, greater healthcare capacity, particularly in terms of hospital and intensive care unit (ICU) beds, is associated with reduced risk. We provide estimates of expected relative risk for each county and a ranking that can be useful for informing public health policies to stem the spread of the virus by devoting resources such as screening and enhanced travel protocols to airports located in at-risk counties.

This study aims to analyze the factors affecting tea-producing farmers' intention to use e-commerce exchanges (ECEs) to sell their products, combining the technology acceptance model (TAM) theory and barrier factors.

The authors use the generalized structural equation modeling (GSEM) to analyze the intermediate model that is built on TAM.

Research results show that perceived usefulness (PU) and perceived ease of use (PEU) significantly influence farmers' intention to use ECEs to sell their products. However, knowledge and information barriers hinder farmers' intention to use such ECEs.

Encouraging farmers to use ECEs is the most helpful solution for agricultural economic development in the context of the Covid-19 pandemic.

From an academic perspective, this is the first study that combines the TAM theory of Davis (1989) and barrier factors to analyze farmers' intention to use ECEs. The findings are valuable references for policymakers to propose strategies for agricultural economic development during the current pandemic. At the same time, the empirical results obtained from this study provide good orientations for agricultural economic development 4.0 in the future.

This study combines the TAM and UGT frameworks to investigate how Vietnamese students' views of ChatGPT and intrinsic needs affect their intentions to use it for education (via variables including perceived ease of use, perceived usefulness, novelty, information seeking and academic content creation). We will employ TAM theory (Davis, 1989) and UGT theory to elucidate university students' motivations for utilising ChatGPT in Vietnam. Simultaneously, we aim to address the limitation stemming from data uniformity. Our research will make a substantial contribution to the understanding of researchers regarding the use of ChatGPT and its varied consequences as it grows and develops.

This study was conducted at a private university in Vietnam with an estimated population of 15,000 students. One of Vietnam’s top private information technology institutions requires its students to use a variety of information and communication technologies (ICTs) on a regular basis to facilitate and enjoy their academic pursuits (Ngo, 2024; Nguyen). Students who are familiar with ChatGPT and have access to it for educational purposes are the ones that were chosen. This research is a quantitative study that utilises primary data through a survey method. Participants answered a questionnaire online through the Google Form platform sharing via social media platforms from October to December 2023. The questionnaire was divided into two sections: the first contained screening questions and demographic information and the second had five-point Likert-scale questions that measured the study’s components. Two screening questions are used to separate out the intended responders. (i.e. “I have heard the name ChatGPT” and “I know about ChatGPT”) were set to find whether the participants had any knowledge of ChatGPT. If participants were unaware of ChatGPT, their responses were not included in the study. A total of 283 responses were received. The participant’s demographic information is shown in Table 1. It is believed that a sample size of more than 200 provides adequate statistical power for data analysis in structural equation modelling. It is evident that the 283-sample size in this study is adequate to evaluate the research hypothesis and the fitting model. 42.9% of the 283 research samples were made up of men, while 57.1% were women. Business administration accounted for 40.1% of survey respondents, followed by information technology (25.2%) and English language (14.5%). The average ChatGPT usage time of respondents was 56 min in a single use. The study sample’s average age is 20–72 years old.

The present study contributes to the existing AI chatbot literature in the educational industry in several ways. First, this study addresses a gap in the literature by investigating the factors that influence students’ ITU ChatGPT for educational purposes in Vietnam. Using the extended model, we investigated factors influencing students’ intentions to use ChatGPT. It integrates three motive factors of the UGT (ACT, IS and N) with the core factors of TAM (PeoU and PU). The integrated framework’s findings indicate that in a Vietnamese educational setting, ChatGPT is a novel technology that should be considered in conjunction with PU and PEoU.

First, only Vietnamese students make up the research sample. To increase the relevance of the findings, it is advised that future research look at the study model in various geographic regions. Second, the present investigation’s constraints arise from the lack of clarity about the Chat GPT version utilised by the respondents, specifically whether it was the free or premium edition. Furthermore, the limited duration of the survey presents an obstacle to gathering thorough data. Due to their reliance on the particular features and functionalities of the Chat GPT version used, these restrictions may have an effect on the researcher’s objectivity. Furthermore, the limited survey time may curtail the coverage of the collected answers, particularly considering that our survey predominantly focuses on business administration students, thus limiting the diversity and richness of the gathered data. We recommend that future studies should conduct comparative research between different versions of GPT Chat, including free and paid variants that can provide valuable insights into potential differences in performance and results. Such analysis can provide a deeper understanding of the strengths and limitations of different GPT Chat versions. Third, because the study focused on behavioural intention, actual usage and post-usage behaviour may not be covered by the findings. To gain a deeper understanding of users' actual behaviour, we suggest doing research on their usage and post-usage behaviours.

The findings will assist service providers and legislators in determining critical variables and influencing students' incentives to use ChatGPT in educational settings that use constructivist teaching methods. As a result, the information will assist service providers in creating AI chatbots that are more user-friendly, visually appealing, efficient, safe and convenient for education. Governments, in conjunction with service providers, have the potential to significantly accelerate the adoption of AI-based chatbots by highlighting their ethical and sustainable use. The findings demonstrate that students' ITU towards ChatGPT is substantially impacted by PU and PEoU. It is recommended that service providers emphasize the advantages and ease of use of AI chatbots in order to draw new clients. Additionally, in order to promote ChatGPT or related technologies, marketers should concentrate on raising the technology’s perceived novelty value. This is because people are open to new technologies as long as they believe they are interesting and innovative.

ChatGPT is an advanced AI-powered chatbot that has the potential to advance and revolutionize the learning and teaching process. This study attempted to look at the elements that lead students to want to use ChatGPT from an academic standpoint by combining the UGT and TAM. For practitioners, academics and educators, the findings provide a solid knowledge of and encouragement for the sustainable use of such AI tools. Despite having important practical consequences, the study contains a number of limitations that indicate possible research gaps that should be filled by further investigation.

This study explored students' perspectives on designing and implementing the new clinical interprofessional education (IPE) module for chronic disease management at the primary care level in the Vietnamese context.

Students from seven different university-level healthcare programmes participated in a cross-sectional survey Course Experience Questionnaire-based study. Additionally, two open-ended questions were presented to gather qualitative data, mapping student perspectives. Statistical analyses and thematic analyses were performed.

The results show that students agree with quality statements about IPE design features, such as good teaching, clear goals and standards, appropriate workload, appropriate assessment and a blended learning approach. Answers to the open-ended comments pointed out the strengths of the IPE module in providing opportunities for interprofessional learning, improving interprofessional collaboration competencies, real-life interprofessional collaboration practice and continuous feedback from tutors. Students also reported weaknesses in the IPE module, including a lack of feedback on the care plan and logistics of the IPE module.

Students positively recognise key design features of the IPE module, combining classroom activities with standardised patient simulations, clinical practice and home visits. Chronic disease management at the primary care level is a suitable context for training students to work interprofessionally. The strengths and weaknesses identified by students could help in the redesign and future implementation of the IPE module in the Vietnamese context. They could inspire practices in Southeast Asian medical education and beyond.

Cloud accounting has emerged as a compelling area of research, experiencing significant growth in recent years. Therefore, this paper seeks to analyze the dispersed academic literature on cloud accounting research. Through this review, this study aims to gain insights into various aspects including research methodologies, frameworks, geographical dispersion, trends, pivotal factors and causal relationships pertinent to cloud accounting.

To offer a comprehensive and objective overview of cloud accounting research, this study adopts a systematic literature review approach. Seventy-five papers published between 2013 and 2023 were selected from the Scopus database, Springer Link, Emerald Insight and IEEE Xplore, following specific criteria outlined in the PRISMA process.

Analysis reveals that cloud accounting research is organized into four primary themes: understanding the benefits and challenges of cloud accounting; identifying factors influencing cloud accounting adoption; exploring factors influenced by cloud accounting implementation; and examining the mediating role of cloud accounting. Besides, the analysis indicates a notable surge in cloud accounting research from 2021 to 2023, with 40 articles published during this period, signaling a growing interest in the topic. Previous studies primarily concentrated on developing countries, with Jordan, Indonesia, Malaysia, India and Nigeria emerging as focal points. The organizational level was predominantly explored, particularly in the context of small- and medium-sized enterprises, indicating a trend toward organizational-level analysis. Notably, a significant portion of cloud accounting studies were not published in prestigious journals indexed under Scopus.

This study provides insights into the publication status of cloud accounting by year, journal and country. Methodological, theoretical and unit of analysis information is also presented. Finally, the study outlines limitations and suggests future research directions.

Nanotechnology (NT) advancements in personal protective textiles (PPT) or personal protective equipment (PPE) have alleviated spread and transmission of this highly contagious viral disease, and enabled enhancement of PPE, thereby fortifying antiviral behavior.

Review of a series of state of the art research papers on the subject matter.

This paper expounds on novel nanotechnological advancements in polymeric textile composites, emerging applications and fight against COVID-19 pandemic.

As a panacea to “public droplet prevention,” textiles have proven to be potentially effective as environmental droplet barriers (EDBs).

PPT in form of healthcare materials including surgical face masks (SFMs), gloves, goggles, respirators, gowns, uniforms, scrub-suits and other apparels play critical role in hindering the spreading of COVID-19 and other “oral-respiratory droplet contamination” both within and outside hospitals.

When used as double-layers, textiles display effectiveness as SFMs or surgical-fabrics, which reduces droplet transmission to <10 cm, within circumference of ∼0.3%.

NT advancements in textiles through nanoparticles, and sensor integration within textile materials have enhanced versatile sensory capabilities, robotics, flame retardancy, self-cleaning, electrical conductivity, flexibility and comfort, thereby availing it for health, medical, sporting, advanced engineering, pharmaceuticals, aerospace, military, automobile, food and agricultural applications, and more. Therefore, this paper expounds on recently emerging trends in nanotechnological influence in textiles for engineering and fight against COVID-19 pandemic.

This study aims to address the reliability and construct validity of the Individual Work Performance Questionnaire (IWPQ) in a Vietnamese context. Using the IWPQ as a measurement tool, this research also examined whether demographic features (such as gender, education level, work experience and position in a company) influenced employees’ work performance.

The Vietnamese IWPQ was validated via a two-step process of factor analysis, including an exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The data collected were randomly divided into two subsamples to independently serve the EFA (n = 341) and CFA (n = 342). ANOVAs and t-tests were also used to examine the differences in individual work performance (IWP) among different demographic categories.

The results of the current study confirmed the applicability of the three-dimensional IWPQ in a Vietnamese context. In addition, they also indicated several demographic features that impacted employees’ patterns of responses to IWPQ dimensions.

This study focused on the construct validity of the IWPQ, without taking the content, face or criterion validity into consideration. Thus, future research should be conducted to yield a more comprehensive validation of the instrument, to measure the relationship between human resource development (HRD) practices and employee performance and to examine the relationship between strategic HRD and IWP and firm outcomes. In addition, the validated Vietnamese version of the IWPQ may inspire comparative studies on individual performance within and between units in an organization and among organizations and industries.

HRD practitioners can now use the validated IWPQ in the Vietnamese language to assess fluctuations in and analyze current staff performance, thereby facilitating human resource management and development. This study also offers recommendations for business leaders and HRD practitioners striving to implement strategic HRD aimed at reducing disparities in gender and between educational qualifications and job assignments at workplace, with the overarching goals of enhancing staff performance. These recommendations prove instrumental in improving staff performance, strengthening organizational efficiency and ultimately tackling the issue of low productivity in Vietnam and neighboring countries.

This study findings underscore the significance of embracing strategic HRD while taking into account individual, organizational and contextual factors that influence IWP. This approach serves to bridge current gaps related to IWP, including Vietnam’s comparatively lower productivity compared to neighboring nations, educational qualifications and role allocations within the workplace, as well as the prevailing work standards and strategic objectives.

To the best of the authors’ knowledge, this rigorously validated Vietnamese version of the IWPQ is the first of its kind in Vietnam, making a significant contribution to inclusivity initiatives and offering substantial evidence to affirm the IWPQ’s relevance across diverse contexts.