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Clinical governance effectiveness is built on the responsibility of clinical members towards other stakeholders inside and outside the hospital. Through the testing of the hypotheses on the relationships between clinical governance and its antecedents, this paper aims to corroborate that emotional intelligence is the first layer of bricks, ethics and trust the second layer, and corporate social responsibility (CSR) the third layer of the entire architecture of clinical governance.

A total of 409 responses in completed form returned from self-administered structured questionnaires dispatched to 705 clinical staff members underwent the structural equation modeling (SEM)-based analysis.

Emotional intelligence among clinicians, as the data reveals, is the lever for ethics of care and knowledge-based or identity-based trust to thrive in hospitals, which in turn activate ethical CSR in clinical activities. Ethical CSR in clinical deeds will heighten clinical governance effectiveness in hospitals.

The journey to test research hypotheses has built layer-by-layer of CSR-based model of clinical governance in which high concentration of emotional intelligence among clinical members in the hospital catalyzes ethics of care and knowledge-based or identity-based trust, without which, CSR initiatives to cultivate ethical values cannot be successfully implemented to optimize clinical governance effectiveness in Vietnam-based hospitals.

This study investigates the interplay between flood risk, financial constraints and buyer behavior in the housing market. It aims to discern how flood experience influences housing choices, particularly among financially constrained buyers.

Using hedonic pricing models and probit analysis, this research examines the implicit prices of house characteristics and evaluates the determinants of housing choices, considering factors such as flood risk, financial status and past flood experience.

The study underscores that lower house prices incentivize buyers to opt for homes in flood-prone areas, thereby increasing their vulnerability to flood risks. Consequently, financial constraints exacerbate this situation, compelling low-income buyers to accept higher flood risks. However, flood experience fosters risk awareness among buyers, encouraging them to steer clear of flood-prone areas, albeit with lesser efficacy among financially constrained individuals.

This research contributes to the understanding of how flood risk and financial limitations shape housing decisions. It highlights the role of flood experience in influencing buyer behavior and emphasizes the need for targeted policies to mitigate flood-related risks in the housing market, particularly among economically vulnerable populations.

This study aims to investigate countries without national property insurance and see how experience affects behavior toward higher-risk flood prone property.

Using a unique data set that captures the flood experiences of homeowners that search for new housing, the authors examine the premiums or discounts of such experience on homes at risk. The authors use hedonic property modeling to estimate the effects of experience on values.

The authors find that such experiences play a strong role in convincing buyers of the real risks imposed by climate change and sea level rise and the authors expect these demand-side behavioral changes to persist. This finding is unlike more developed markets where insurance may be subsidized and negative effects on value dissipate within a few years.

The world is starting to pay more attention to climate risk and the results in developed countries have been biased by the extensive insurance provided by the government or emergency funding.

Providing market transparency on climate risks will result in permanent market effects, if not otherwise subsidized.

The governments should encourage market disclosure.

No one has ever had a data set like this before where the authors get to observe the behavior of those already experiencing property losses from flooding.

This paper developed a theoretical and research framework by identifying the behavioral biases in investment decision and by presenting a review of the available literature in the field of behavior finance-related biases. This paper aims to present a compressive review of the literature available in the public domain in past five decades on behavior finance and biases and its role in investment decision-making process. It also covers insights on the subject for developing a deeper understating of the behavior of investor and related biases.

The work follows the comprehensive literature review approach to review the available literatures. The review carried out on different parameters such as year of publication, journal of publication, country, type of research, data type, statistical technique used and biases identified. This is a funnel approach to decrease the number of behavior biases up to six for further research.

Most of the existing works have summarized behavior finance as an emerging area in finance. This indicates the limited valuable research in developing economy in this area. This literature review helps in identifying major research gap in this domain. It helps in identifying the behavior biases which work dominantly in investment decision-making. It would be interesting to explore the area of behavior biases and their impact on investment decision of individual investors in India.

This paper worked on literature prevailing on the subject and available on various online research data source and search engines. It covers a long time frame of almost five decades (1970-2015). This paper is an attempt to look at the impact of behavior finance and biases and its role in investment decision-making process of the investor behavior. This study builds up a strong theoretical framework for researchers and academicians by detailed demonstration of available literature on behavior biases.

Whilst research on corporate social responsibility (CSR) is reaching new territories, the extent to which such literature manifests itself in developing countries is yet to be fully understood. To that end, this study aims to investigate the understanding, evolution and practice of CSR in Vietnam.

A systematic review of the current literature in the recent past (2000–2020) has been embraced in this research. By analysing a total of 143 articles, the authors demonstrate that there has been visible growth in published articles related to CSR in Vietnam over the past 21 years.

The authors demonstrate that CSR research in Vietnam has significantly grown in the recent past. The results highlight the in-depth distribution of publications by year, journal, industry, nature and focus of CSR research in the country.

This study is not only the first to provide an enhanced overview of the current state of CSR knowledge in the country but also sets out directions within the CSR research agenda related to Vietnam and potentially other emerging and developing countries.

Poor mental health is a well-recognized issue in the construction sector. However, there is still little understanding of factors affecting construction employees’ awareness of mental health problems (MHP). This study aims to investigate the awareness of MHP among construction employees using the Health Belief Model (HBM). The research explores how various factors, such as perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action and self-efficacy, shape MHP awareness within the construction sector.

A structured four-step research methodology was employed. First, a literature review and expert validation identified 28 variables relevant to MHP awareness. A questionnaire was then developed and distributed to construction employees in Vietnam, with 238 valid responses collected. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were employed to validate the evaluation model. After that, fuzzy synthetic evaluation (FSE) was used to assess the importance of each dimension of MHP awareness.

The results indicate that perceived barriers and perceived benefits were the two most significant factors in MHP awareness. The remaining dimensions – perceived susceptibility, perceived severity, cues to action and self-efficacy – were found to have a lesser but notable impact on MHP awareness.

This research comprehensively analyzes MHP awareness among construction employees using the HBM framework. The findings suggested that Vietnamese firms should focus on increasing cues to action and self-efficacy to improve MHP awareness among construction employees. This study also proposed that construction firms should provide more stress-reduction activities and training programs suitable to the Vietnamese context for their employees.

Applying the Stimulus–Organism–Response (SOR) model, this study aims to explore how AI-driven stimuli (e.g. ChatGPT adoption in entrepreneurship and perceived AI competencies) stimulate individuals’ cognitive organisms (e.g. digital entrepreneurial opportunity exploration and exploitation), and how these individually, congruently, and incongruently trigger their behavioral responses (e.g. nascent digital start-up activities).

Utilizing a sample of 1326 MBA students in Vietnam with a stratified sampling approach, multiple linear regression and polynomial regression with response surface analysis were used to test hypotheses.

The findings reveal that ChatGPT adoption in entrepreneurship and perceived AI competencies have a positive and significant impact on individuals’ digital entrepreneurial opportunity exploration and exploitation, which in turn, positively affects nascent digital start-up activities. Moreover, the study also reports that digital entrepreneurial opportunity exploration and exploitation can be congruently combined with each other to trigger the effects of nascent digital start-up activities.

Some valuable recommendations based on the findings have been provided for practitioners and policymakers.

The study contributes to the academic landscape by validating the SOR model within the context of AI adoption and entrepreneurship. It emphasizes the sequential processes of stimulus, cognitive responses, and behavioral outcomes, shedding light on nuanced effects in the digital entrepreneurial landscape.