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The purpose of this study is to understand the effects of self-risk perception and health consciousness on the intention to purchase organic food. The study also explored external factors, such as social networking, culture and their impact on attitude, self-risk perception and purchasing organic food.

This study uses a quantitative research method to collect data from New Zealand and Fiji (N = 701). The data analysis used the partial least squares path modeling technique (PLS-PM) to test the proposed model.

The empirical results revealed that self-risk perception positively influenced organic food intention. The results show that the health consciousness level strengthens the relationship between self-risk perception, beliefs, values and purchase intention. The health consciousness level dampens the relationship between social networking and purchase intention.

The findings of this study provide valuable insights into the guidance and promotion of Fijian and New Zealand's organic food industry. This study enables marketers to develop health-related promotional tactics to stimulate organic food sales. It gauges organic food promoters to use social media-oriented consumer networking to spread health awareness swiftly.

This comprehensive study extends the literature by scrutinizing the profundity of self-risk perception and health consciousness in influencing and explaining consumers' purchase intentions. Aside from ample growth in the study of organic food purchase intention, which commonly replicates simple relationships, this study ascertains deeper meaning and new relationships to understand the moderating role of health consciousness levels in organic food studies, expanding the theory of planned behavior.

The occupational health risk associated with the production of prefabricated concrete components is often overlooked. This paper will use a damage assessment and cyclic mitigation (DACM) model to provide individualized exposure risk assessment and corresponding mitigation management measures for workers who are being exposed.

The DACM model is proposed based on the concept of life cycle assessment (LCA). The model uses Monte-Carlo simulation for uncertainty risk assessment, followed by quantitative damage assessment using disability-adjusted life year (DALY). Lastly, sensitivity analysis is used to identify the parameters with the greatest impact on health risks.

The results show that the dust concentration is centered around the mean, and the fitting results are close to normal distribution, so the mean value can be used to carry out the calculation of risk. However, calculations using the DACM model revealed that there are still some work areas at risk. DALY damage is most severe in concrete production area. Meanwhile, the inhalation rate (IR), exposure duration (ED), exposure frequency (EF) and average exposure time (AT) showed greater impacts based on the sensitivity analysis.

Based on the comparison, the DACM model can determine that the potential occupational health risk of prefabricated concrete component (PC) factory and the risk is less than that of on-site construction. It synthesizes field research and simulation to form the entire assessment process into a case-base system with the depth of the cycle, which allows the model to be continuously adjusted to reduce the occupational health damage caused by production pollution exposure.

Health-care workers (HCWs) are at increased risk of exposure to the COVID-19 virus, which necessitates implementing transmission prevention measures in health-care delivery facilities, particularly hospitals. This study aims to assess COVID-19 risk in a health-care setting and recommend managerial strategies to cope with existing risk procedures.

This cross-sectional study was conducted among HCWs working in a general hospital in Qazvin, northwest of the country. A total of 310 employees working at different clinical and non-clinical occupational levels participated in the study. The WHO COVID-19 risk assessment tool categorised HCWs in high- or low-risk groups exposed to COVID-19 infection.

Findings revealed statistically significant relationships between workplace exposure to the COVID-19 virus and variables, including job type, performing the aerosol-generating procedure, access to personal protective equipment (PPE) and being trained on Infection Prevention and Control (IPC) guidelines (p < 0.05). HCWs older than 36 years were at 8% more risk of COVID-19 virus. Being a medical doctor or delivering health-care services as a nurse were relatively 28% and 32% times more likely to be at high risk of infection than other hospital staff categories. Having inadequate access to PPE and lack of training on IPC guidelines were also key determinants of high-risk infection.

As most cases at risk of COVID-19 infection belonged to frontline health-care staff in older age groups, this study recommend limiting the exposure of vulnerable staff to COVID-19 patients, increasing protective measures for HCWs and providing essential information about infection control procedures.

The purpose of this study is to investigate the main effect of top executive smog risk perception on green innovation and to examine the mediating role of corporate social responsibility (CSR) in the positive relationship between smog risk perception and green innovation along with the moderating role of smog knowledge.

A theoretical framework is developed based on the upper echelons theory to argue that top executive smog risk perception can be closely related to green innovation. Hierarchical analysis is conducted using a sample of eight firms in China.

Hypothesis testing indicates that physical health risk perception and mental health risk perception positively affect green innovation, and that these effects are positively mediated by CSR. In addition, smog knowledge moderates the relationship between physical health risk perception and green innovation.

The findings extend current studies on green innovation by highlighting the role of top executives’ perceptions beyond studying top executives’ attributes. The findings suggest that top executives should actively respond to smog pollution and fulfill CSR.

Previous studies have suggested that top executives’ demographic characteristics are the determining factors of green innovation. This empirical paper fills a gap in the literature by exploring the impact of top executive smog risk perception on green innovation within the framework of the upper echelons theory.

The COVID-19 pandemic has caused hundreds of thousands of people to suffer severe illness or die and has had severe effects on individuals’ financial well-being as well. Unfortunately, it is very likely that the pandemic has had a disproportionate effect, particularly on vulnerable and underserved groups, including immigrants in the USA. This study aims to examine the association between perceived health risk and perceived financial risk attributable to COVID-19, and focuses on their heterogeneous effects depending upon immigrant status.

The study used the Understanding America Study (UAS) COVID-19 National Survey data collected from April 2020 to July 2021. Sets of ordinary least squares (OLS) regression and fixed effects regression analyses were conducted on the perceived risk COVID-19 poses on households’ finances. The main focal variables of interest were immigrant status and perceived risk of COVID-19 infection and death.

The results showed that the correlation between health risk and perceived financial risk was much higher among first- and second-generation immigrants. Surprisingly, various types of government aid did not have a consistent and significant effect on the recipients’ perception of the risk that COVID-19 poses to their household finances.

This study is one of the few attempts to empirically examine the association between perceived health risk and financial risk during the COVID-19 pandemic by focusing on the heterogeneity by immigrant status. The authors used an appropriate methodology that considered the panel structure of the UAS COVID-19 National Survey’s data. The study provides important implications for researchers and policymakers related to immigrants’ financial well-being.

The global impact of the COVID-19 pandemic has been well documented, but there is still limited insight into the complex interaction of factors that determine its longer-term effects on the most vulnerable sectors of society. The current study therefore develops an integrated conceptual framework to investigate how consumers' fear of mortality and the perceived risk of severe illness associated with COVID-19 act as critical determinants of consumer food choices and perceived well-being.

An online survey was utilized to collect data from a sample of 407 adult, low-income consumers across Trinidad and Tobago. The PROCESS macro was used to empirically test the hypothesized relationships in a moderated mediation model.

The results confirm that an increase in the perceived risk of severe illness has a significant negative effect on the consumption of healthy foods and perceived well-being. Moreover, consumers' choice of healthy foods mediates the negative relationship between consumers' perceived risk of severe COVID-19 illness and subjective well-being. Finally, the negative relationship between perceived risk of illness and healthy food choice weakens as an individual's fear of pandemic-related mortality increases.

This research integrates multiple related theoretical constructs to provide a more nuanced understanding of the lingering impact that risk perceptions and fear have on consumer food choices and associated well-being among a vulnerable Caribbean population. The changes identified have important implications for researchers interested in consumer food preferences as well as policymakers seeking to promote a healthy lifestyle among individuals coping with psychologically stressful circumstances.

Advertisements often use fear appeals to encourage prevention focused behaviors. This approach has been somewhat successful in changing attitudes and behaviors, often encouraging consumers to secede from behaviors such as smoking or to adopt preventative behaviors such as engaging in health screenings. However, health-care marketers have been less successful in efforts to reduce obesity. The obesity crisis has led to an abundance of marketing communications designed to influence weight loss. Many of these focus on fear of physical health risks associated with being overweight which have a certain degree of uncertainty surrounding them. This study aims to examine financial threats that have lower perceptions of uncertainty, and the differential impact this type of threat has on elements of the Extended Parallel Process Model (EPPM).

A 2 × 2 experimental design is used to examine the differential impact of messages communicating threat of financial and physical risk on evoked fear, perceived uncertainty, perceived susceptibility, efficacy and intention to lose weight.

Overall results indicate that response to weight loss advertising varies given the type of threat presented. Results indicate that there is a greater level of uncertainty associated with physical health threats than that with financial threats. Moreover, even though individuals were more fearful of and felt more susceptible to physical threats, when they believed that the recommended behavior was feasible, financial threat was more influential.

To encourage weight loss and intentions to lose weight advertising in practice and advertising research primarily focus on the physical health risks associated with being overweight as a motivating factor. Current research explores the impact of financial threats on attitudes and behavioral intention and finds that financial threats are perceived as more certain than physical threats, and the communication of financial threats is more salient in its effect on weight loss intentions. An opportunity for future research is to further explore the impact of uncertainty in relation to components of EPPM and how threats varying in degrees of uncertainty may impact weight loss intentions.

The aim of this paper is to review and analyze the research literature on the health and safety issues of migrant workers in the construction industry from 2000 to 2022.

5 steps method is used to conduct a systematic review to achieve the objectives. After scanning two authoritative search engines “Web of Science” and “Scope”, 60 articles are selected from 225 publications for identification and review. These identified articles are classified by research fields, countries and time span.

The review finds that with the increasing influence of migrant construction workers, the number of publications on the health and safety of migrant workers has shown a rapid upward trend. Moreover, language barriers are the most dominant safety risk factors encountered by on-site migrant workers. This systematic literature review also summarizes the definition of migrant workers and solutions to reduce safety risk factors.

The research data on the health and safety issues and risk factors of migrant workers in the construction industry is still limited. This literature review summarizes the research trends and contributions of the literature in this field in the past 22 years and provides theoretical support for future research on the safety management of the migration construction field.

In this study, the authors clarified the differences in consumers' benefit–risk perceptions based on changes (description order and amount) in the benefit–risk information after an assessment of the health impact of foods.

The authors set the following four benefit–risk information groups relating to fatty fish consumption—Group 1: benefit/simple–risk/detail; Group 2: risk/detail–benefit/simple; Group 3: benefit/detail–risk/detail; Group 4: risk/detail–benefit/detail. The authors conducted a randomized controlled study on June, 2022, involving 7,200 Japanese consumers aged over 18 years.

There were no significant differences in the risk and benefit perceptions. Furthermore, the logistic regression analysis identified women and benefit perception as significant influencing factors of “no-risk acceptance.”

This study found that all four message formats were acceptable to consumers due to high-benefit/low-risk perceptions. However, despite the difference in message types used in benefit–risk communication, there was no effect on risk acceptance among consumers. Public agencies should design their communication with considerations toward women and benefit perceptions.