Search results

Though widely recognized as essential for improving work performance across various domains, self-efficacy’s specific role in managing construction workforces remains understudied. This knowledge gap restricts our ability to uncover new factors that enhance workforce management effectiveness and ultimately boost construction labor productivity (CLP). To address this, our study proposes and tests a novel model. This model explores the impact mechanism of self-efficacy on CLP by investigating the mediating role of work motivation. By delving into this crucial yet underexplored area, we aim to provide valuable insights for construction project managers and researchers alike, paving the way for more effective workforce management strategies and consequently, improved CLP.

This study utilizes a mixed-method approach, incorporating both qualitative and quantitative methodologies. Data from 112 rebar workers at five construction sites in Vietnam underwent analysis using Cronbach’s alpha, exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and structural equation modeling (SEM) to examine the novel research model.

The results indicate a positive and significant association between self-efficacy and CLP. Additionally, work motivation emerged as a full mediator in the relationship between self-efficacy and CLP. Specifically, individuals with higher self-efficacy set ambitious goals and invest more effort in their pursuit, leading to increased work motivation and, ultimately, heightened productivity levels.

The significant implications of the current study extend to construction managers and policymakers alike. Construction managers can leverage the findings to devise targeted interventions aimed at enhancing the self-efficacy and work motivation of their workforce, potentially resulting in noteworthy enhancements in CLP. Policymakers, too, can benefit from these findings by formulating policies that actively support the cultivation of self-efficacy and work motivation among construction workers. Such policies have the potential to foster a more productive and efficient construction industry, aligning with the broader goals of workforce development and industry enhancement.

This study expands existing knowledge by identifying the important role of self-efficacy in work performance enhancement and the mediating role of work motivation in terms of these relationships.

This study aims to investigate the impact of primary building information modelling (BIM)-related factors, extracted from the literature on the subject, on construction project performance.

Based on data collected from 134 BIM users, this study used structural equation modelling to assess the impact of these factors in five main BIM-related factor clusters.

The results of the analysis confirmed the reliability and validity of the research design and outcomes. The findings indicated that the BIM-related external factors cluster is the most influential cluster affecting construction project performance. BIM-related project factors and BIM-related technological factors also had a significant impact on project performance. These were followed by the BIM-related management factors cluster, while the BIM-related human factors cluster had a low impact on project performance.

This study will contribute to fostering BIM adoption and implementation in the construction industry in developing countries.

This study has filled a crucial knowledge gap by providing information on manageable primary BIM-related factors affecting construction project performance.

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 background is that clinical governance is a new mechanism for improving patient care within primary care organisations. The aim is to investigate the ability of practices in a single Primary Care Trust to improve influenza and pneumococcal vaccination uptake in high risk groups as a component of a clinical governance programme. A descriptive before and after study was undertaken at West Lincolnshire Primary Care Trust. Concludes that clinically, important improvements in influenza vaccination uptake occurred in patients over 65 years, and for influenza and pneumococcal vaccination in coronary heart disease and diabetic patients between the two audit cycles demonstrating the ability of participating practices to achieve and exceed national targets for influenza immunisation of these high‐risk groups.

Tourism, as a system, develops strategies for risk prevention and mitigation. The shock generated by the COVID-19 pandemic is different when compared with previous events because it is more intense and prone to structural changes. Tourists' perceptions condition their behaviour and decisions, with adverse results on travel and tourism consumption; and hygiene and health risks generate a cause-effect relationship on destination specificities.

From globalisation to risk perception and crisis management, in a framework where technology, communication and digital content represent undeniable importance, we are facing circumstances especially conducive to the redesign of the collective future, where the sustainability of tourism is a collective goal, arising from the right balance between the competitiveness of destinations and climate action.

Given the prospects for the next decade, health and hygiene are structural factors to be considered in decision-making processes. Thus, so the proposed approach contributes to the awareness, by the various stakeholders, of its importance and the need to implement methods and processes compatible with more inclusive and responsible tourism.

Transport shapes the health of urban populations. It can support healthy behaviours such as participation in regular physical activity and access to community connection. Transport systems can also have major negative impacts on health. For example, through air pollution from fossil fuel-based modes of travel, the risk of injury and death from transport related collisions, and in the way sedentary modes of travelling can contribute to less physically active lifestyles.

This chapter considers the long-term impact of the pandemic on a series of well-researched transport-related health outcomes. It first describes the established connections between transport and health. It then considers the future implications of three potential pandemic-induced shifts: the increased uptake of working from home (WFH); decreased usage of public transport and increased interest in walking and cycling in the local neighbourhood. The impacts of these shifts on the transport-health nexus are then discussed, revealing both positive and negative outcomes. The authors conclude by providing policy recommendations to mitigate possible negative outcomes and strengthen the positive consequences into the future.

Amid the multitude of economic effects emanating from impositions of COVID-19, workers in the tourism sector are potentially experiencing significant psychosocial impacts. These effects are compounded by the uncertainty of pathways for positive change and the precariousness of adjustments to life and livelihoods. Their attitudes to the newly imposed circumstances are possibly conditioned by a sense of hope which may have implications for their adaptations in the face of sudden or slow change. In this chapter, we argue that one’s sense of hope represents an important component of psychosocial well-being and may even be visualized as a necessary component of adaptation. Hope is conceptualized as a cognitive process that entails thinking and planning in order to achieve proposed goals (Snyder, Irving, & Anderson, 1991; Snyder, Lopez, Shorey, Rand, & Feldman, 2003) and can be operationalized into three core components: goals, pathways, and agency. Based on in-depth interviews and a questionnaire survey administered to former accommodation workers in the Negril tourism industry, this chapter examines expressions of hope(lessness) existing among workers displaced by COVID-19. It potentially provides nuanced understandings of hope as a necessary raw material for adaptation initiatives and explores ways in which a sense of hope could be harnessed in the face of disasters and despair.

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.

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 aims to investigate the determinants of public trust in e-government services (Te-GS) and participation in social media.

A quantitative cross-sectional field survey was used to collect primary data at the local government level in 11 cities, towns and districts in Tien Giang Province, Vietnam. The final data set of 529 respondents was analysed using SmartPLS4 to evaluate the measurement and structural models.

Perceived responsiveness, transparency and security have strong positive associations with Te-GS, whereas perceived accountability does not. Furthermore, perceived ease of use and perceived usefulness are positively associated with social media participation.

Although previous studies have examined citizen behaviour in the use of e-government services, the social media context has rarely been considered due to its novelty. This study adds to the knowledge of the antecedents of participation in e-government services in developing countries such as Vietnam. Furthermore, it provides a comprehensive framework for understanding participation intention that considers four elements of good governance theory and two elements of the technology acceptance model (TAM), thereby extending previous research on the effects of these variables on the adoption of e-government services.