Consumer knowledge, attitudes, and behaviour regarding food safety - A perspective from Laos.

Primary research data on food chain safety at consumer level is needed to help policymakers to decrease the risk of foodborne infections in the Lao People's Democratic Republic. Therefore, the objectives of this study are to 1) determine Lao people's food safety knowledge, attitudes, and intentions and identify the most influential factors that shape their food safety behaviour, and 2) to support the government in the development of more efficient risk communication programmes. A paper-based consumer survey was implemented to collect quantitative data on the selected topics about Laotian consumers, as well as on the equipment of households regarding the conditions and tools necessary for safe food preparation and storage. A model was developed based on the extended Theory of Planned Behaviour (TPB), and partial least squares structural equation modelling (PLS-SEM) was applied to analyse the factors that affect food safety behaviour. The elements of Knowledge and Perceived Behavioural Control positively influence behaviours, such as using separate chopping boards for raw and ready-to-eat foods. According to the model, only 10 % of the Intentions would be translated into Behaviours, which gap can be explained by the lack of a hygienic environment. Although the survey indicated that Laotian people intend to follow food safety guidelines, participants felt they lacked sufficient knowledge. This perception was validated by the knowledge test and behavioural part of the study. In the light of these findings, it is essential to raise awareness and promote food safety knowledge and interventions, such as enhancing food safety education in childhood. This would help to facilitate and encourage adopting safe practices to improve overall food safety at the consumer level, delivering positive impacts also to the food business sector.

Exploring trust determinants influencing the intention to use fintech via SEM approach: Evidence from Pakistan.

Many fintech consumers are hesitant to perform online transactions given the lack of trust in online companies. In response to this reality, we construct and evaluate a trust-theoretic user acceptability model for financial technologies. The research seeks to look at the influence of trust on the intention to use fintech. A sampling of potential users in Pakistan is used to validate the model experimentally. Smart PLS 3 has been used to robust the theorized configuration of constructs (structural equation modeling) based on 275 survey responses. Contrary to other scenarios, the findings indicate that "customer trust in fintech" is more important than other aspects in determining technology adoption. Pakistani consumers' intention is positively affected by trust. Trust facilitators influence consumers' trust; among them, trust propensity is the factor having high values, followed by perceived size, interaction with online customers, perceived benefit, third-party seal, perceived ease of use, and perceived reputation.

Possibilities and limits of modelling of long-range economic consequences of air pollution - A case study.

Air pollution is the biggest environmental problem in modern societies, causing considerable health damage and requiring substantial financial resources for health care. The goal of the study is to demonstrate the adverse economic consequences of air pollution on example of a small, open Central European country, Hungary, and to provide quantified financial arguments for macroeconomic decision-making for the development of a long-term energy strategy. On the basis of the Cobb-Douglas production function and Solow-Swann model of dynamic economic systems a simple and robust model was constructed to estimate and predict economic losses, caused by the pollution. On base of results it is obvious, that on base of macroeconomic theory and combination of various, publicly available, quality-controlled statistical resources quantifiable models can be constructed to characterise the economic consequences of air pollution, but it should be taken into consideration, that the reliability of economic models considerably depends on their initial parameters and practical validity of assumptions, based on which the underlying economic theories were built. The most important economic burden of air pollution is caused by the loss of working-age population, resulting in a decrease of 4.1-9.4 % a year in Gross Domestic Product (GDP) in the next fifty years. The additional burden of health care costs amounts to 0.1 % of GDP. Reducing air pollution is not only a quality of life improvement but also an investment into the economic development. Notwithstanding of statistical biases it could be proven the importance of combination health economic and econometric methods in preparation of more efficient environmental-related socio-economic decisions.

Perceived transaction cost and its antecedents associated with fintech users' intention: Evidence from Pakistan.

Researches depict a considerable degree of acknowledgment of financial technology improvement in Pakistan. However, the costs blocking clients' intention to utilize financial technology remain dubious. Building upon Transaction Cost Economics and Innovation diffusion theory, this paper hypothesizes that consumers' transaction cost of fintech is affected by nine antecedents: perceived asset specificity, complexity, product uncertainty, behavioral uncertainty, transaction frequency, dependability, limitations, convenience, and economic utility. Transaction cost has a negative relationship with consumers' intentions to use fintech for online buying or availing services. We tested the model using data gathered from the individuals. The results show that factors that are positively related to consumers' perceived transaction cost, among them product uncertainty (ß = 0.231) is the greatest of factors, followed by behavior uncertainty (ß = 0.209) and asset specificity (ß = 0.17), those that are negatively associated are dependability (ß = 0.11), and convenience (ß = 0.224). The study is limited in scope, focusing primarily on cost factors. Future research may analyze additional cost-related elements and the actual use of financial technology by using samples from different countries.

The relationship between 5G technology affordances, consumption values, trust and intentions: An exploration using the TCV and S-O-R paradigm.

5G mobile communication technology is anticipated to merge with many other sectors, spurring innovation and creating substantial ripple effects. Despite the significance of this advancement, current research provides limited knowledge of users' behavioral reactions to the affordances, values, and trust generated from 5G technology. To investigate this relationship, this study used the Stimulus-response theory and the consumption values theory. The empirical data was gathered from 373 consumers in China using a survey method. To validate the model's suggested relationships, the author utilized the partial least squares-structural equation modelling (PLS-SEM) technique. The finding designates that the affordances and purchase intention relationship was mediated by consumption values and trust. Given the significance of 5G technology and its potential, this study investigates what drives and deters consumers from obtaining 5G technology. Original findings insights on the role of affordances in developing marketing strategies and increasing consumer intentions to purchase 5G technology products.

Determinants of bank's efficiency in an emerging economy: A data envelopment analysis approach.

This study aims to assess the influence of internal and external factors on the Efficiency of banks in Pakistan using the Data Envelopment Analysis Approach (DEA). Bank's Efficiency is measured through DEA Model using input and output variables. The input variable includes the number of employees, number of branches, administration expenses, non-interest expenses, and loan loss provisions. In contrast, the output variable consists of net interest income, net commissions, and total other income. This study considers the internal determinants of the bank's Efficiency as corporate governance, enterprise risk management, ownership structure (state, foreign, and domestic ultimate owned banks), return on equity, financial leverage, and the size of the bank. The external determinants of the bank's Efficiency include banking structure and macroeconomic conditions. The study has used data from seventeen commercial banks over the period of 2011 to 2020. The study used the Data Envelopment Analysis Approach (DEA) and Logit and Probit Regression Model to evaluate research hypotheses. The Logit model results show that corporate governance, ultimate global ownership, and return on equity have a statistically significant and positive impact on the bank's Efficiency. Enterprise risk management and financial leverage adversely affect the bank's Efficiency. Better corporate governance can help banks to control the risk and cost of capital and enhancement the effectiveness of capital. Similarly, better risk management of banks can lead to better operational and strategic decisions in the competitive banking environment.

A comparative study of the policy response to COVID-19 in the ASEAN region: A dynamic simulated ARDL approach.

The COVID-19 epidemic is the most significant global health disaster of this century and the greatest challenge to humanity since World War II. One of the most important research issues is to determine the effectiveness of measures implemented worldwide to control the spread of the corona virus. A dynamic simulated Autoregressive-Distributed Lag (ARDL) approach was adopted to analyze the policy response to COVID-19 in the ASEAN region using data from February 1, 2020, to November 8, 2021. The results of unit root concluded that the dependent variable is integrated of order one while the independent variables are stationarized at the level or first difference, and the use of a dynamic simulated ARDL technique is appropriate for this paper. The outcomes of the dynamic simulated ARDL model explored that government economic support and debt/contract relief for poor families is substantially important in the fight against COVID-19. The study also explored that closing schools and workplaces, restrictions on gatherings, cancellation of public events, stay at home, closing public transport, restrictions on domestic and international travel are necessary to reduce the spread of COVID-19. Finally, this study explored that public awareness campaigns, testing policy and social distancing significantly decrease the spread of COVID-19. Policy implications such as economic support from the government to help poor families, closing schools and public gatherings during the pandemic, public awareness among the masses, and testing policies must be adopted to reduce the spread of COVID-19. Moreover, the reduction in mortality shows that immunization could be a possible new strategy to combat COVID-19, but the factors responsible for the acceptability of the vaccine must be addressed immediately through public health policies.

Family and Academic Stress and Their Impact on Students' Depression Level and Academic Performance.

Current research examines the impact of academic and familial stress on students' depression levels and the subsequent impact on their academic performance based on Lazarus' cognitive appraisal theory of stress. The non-probability convenience sampling technique has been used to collect data from undergraduate and postgraduate students using a modified questionnaire with a five-point Likert scale. This study used the SEM method to examine the link between stress, depression, and academic performance. It was confirmed that academic and family stress leads to depression among students, negatively affecting their academic performance and learning outcomes. This research provides valuable information to parents, educators, and other stakeholders concerned about their childrens' education and performance.

Assessing the asymmetric impact of physical infrastructure and trade openness on ecological footprint: An empirical evidence from Pakistan.

This study analyzed the asymmetric impact of the physical infrastructure and trade openness on Pakistan's ecological footprint over the period 1970-2019 using the non-linear autoregressive distributed lag model. The study results posit that positive and negative shocks to physical infrastructure increase and decrease the ecological footprint asymmetrically in the short-run and symmetrically in the long-run. Likewise, the positive and negative shocks to trade openness increase and decrease the ecological footprint asymmetrically, both in the short and in the long run. Furthermore, urbanization also positively and significantly increases Pakistan's ecological footprint in the short and long run. Moreover, a 1% increase in physical infrastructure increases the ecological footprint by 0.32%, while a 1% decrease in physical infrastructure decreases the ecological footprint by 0.33% in the long run. Similarly, a 1% increase in trade openness causes a 0.09% increase in the ecological footprint in the long term, while a 1% reduction in trade openness causes a 0.61% reduction in the ecological footprint. The results also conclude that urbanization is a major determinant of Pakistan's long-term ecological footprint. Thus, a 1% increase in urbanization causes a 1.31% increase in the ecological footprint in the long run. Finally, this study recommends that policies regarding physical infrastructure be formulated keeping in view its environmental impact. In addition, strict environmental policies should be implemented to reduce the environmental degradation effect of trade openness.

Impact of Sleep Deprivation on Job Performance of Working Mothers: Mediating Effect of Workplace Deviance.

The current study takes its philosophical roots from organizational behavior and psychology domains to investigate the impact of sleep deprivation on the job performance of mothers working in primary, secondary, and higher education institutions (HEIs) of Pakistan. It also examines the mediating role of workplace deviance in the relationship between sleep deprivation and the job performance of working mothers. The authors followed the non-probability convenience sampling technique to study the relationship between sleep deprivation, workplace deviance, and job performance. The structural analyses indicated that sleep deprivation has a significant negative impact on the job performance of working mothers and sleep-deprived individuals often tend to perform poorly at the workplace. Such workers are also more likely to engage in workplace deviant behaviors. Moreover, workplace deviance is also found to act as a mediating variable in the relationship between sleep deprivation and job performance. The present research bridges the literature gap on the rarely investigated factors, namely sleep deprivation and workplace deviance, and provide a detailed understanding of how these factors can influence the performance of working mothers, specifically in Pakistan.

Food Security and the COVID-19 Crisis from a Consumer Buying Behaviour Perspective-The Case of Bangladesh.

Since COVID-19 was confirmed in Bangladesh in March 2020, the government have enacted stringent measures to prevent the spread of the coronavirus, which has had a significant impact on people's lives. Food consumption habits of consumers have shifted as a result of declining grocery shopping frequency, negative income shock, and food prices shooting up. This paper aims to explore Bangladeshi consumers' buying behaviour in association with the stress generated from a food supply shortage during the COVID-19 pandemic and the post-outbreak perception of the food industry, using a dataset with 540 online samples collected between July and August 2021. A two-stage cluster sampling method and self-administrated questionnaire techniques were adopted for collecting the data during the third wave of COVID-19. Using partial least squares path modelling (PLS-PM) and multivariate multiple ordered logit regression (MVORD) to reveal the pertinent structure between all the blocks, this study provides two key findings. First, a higher intensity of COVID-19 impact translates into higher food stress associated with income reduction and higher food prices. Second, food stress directly affects consumer buying and consumption behaviour. We strongly recommend connecting consumers with local producers and collective use of shared warehouses through institutions, policies, and reforms to prevent disruption in the food supply chain and to keep food prices stable. Additionally, food producers, distributors, stakeholders, and policy planners should strengthen the food supply chain to stabilize food security.

An Examination to Explain the Mechanism of Employees' Environment-Specific Behavior through CSR and Work Engagement from the Perspective of Stewardship Theory.

Corporate social responsibility (CSR) has emerged as an imperative for every sector globally. Yet, for a long time, the concept of CSR has been regarded from an organizational perspective. However, the importance of CSR in shaping the extra-role behavior of employees, such as their pro-environmental behavior (PEB-E), has been under-explored in the literature. Against this backdrop, the current study aims to investigate the impact of CSR on PEB-E with the mediating effect of work engagement (W.E) in the context of a emerging country. The study also employs stewardship theory as an alternate theory to explain the proposed relationships. The data of the current study were obtained from SME sector through a self-administered (paper-and-pencil method) questionnaire. A random sample of employees (n = 398) from different SMEs was selected and analyzed through structural equation modeling. The results of the current survey revealed that CSR directly and indirectly, via W.E, predicts PEB-E positively. The findings of the current study will be helpful for policymakers to understand that well-planned CSR activities, not only create positive repute for an SME, but also provide the underlying justification to its employees to be engaged in different environment-specific behaviors.

An assessment of students' emotional intelligence, learning outcomes, and academic efficacy: A correlational study in higher education.

The purpose of this empirical study is to investigate the effects of Emotional Intelligence (EI) on learning outcomes (social, cognitive, self-growth outcomes and satisfaction with the university experience) of students in Chinese research universities. This study further examines the mediating role of student trust in teachers (emotional and cognitive learning) and learning orientation (commitment to learning) in the relationship between EI and learning outcomes. This intent of this study was to examine the direct effects of learning outcomes on students' academic efficacy (cognitive skills and standardised tests). This study used a sample frame of 454 students from research universities in China. The relationships were tested through the partial least squares' structural equation modelling method. The results reveal that EI has a significant impact on learning outcomes. Furthermore, an indirect relation between EI and learning outcomes is established through student trust in teachers and in the learning orientation. The direct relation between learning outcomes and student academic efficacy is also established. There is a lack of studies that investigate the relationship of EI, student trust in teachers, learning orientation, learning outcomes and student academic efficacy. This is one of the initial research studies that not only empirically examine the interface of EI and learning outcomes of students of Higher Education Institutions (HEIs) but offers insights into the existing literature by concurrent investigation of the mediating role of student trust in teachers and in the learning orientation in fundamental association, while explaining the association between learning outcomes and students' better academic efficacy.

Trust levels within categories of information and communication technology companies.

The arguable claims of levels of trust in politics and business situations motivated this study, which investigates the degree of trust within micro, small, and medium categories of Hungarian Information and Communication Technology (ICT) companies. Different sizes of companies have varying interactions between internal members and their business partners. This study concentrated on exploring Hungarian ICT companies due to their significant role in supporting Industry 4.0. The study population are active Hungarian ICT companies. This research implemented random cluster selection related to the location of ICT firms. It exploited 100 samples, including micro, small, and medium-sized companies, and implemented discriminant analysis to examine the description and hypotheses. First, this study found that the level of trust in institutions within micro, small, and medium-sized companies varies significantly. The level of trust in institutions proliferates within corporations due to the capability of the formal institution to provide fair public services. This research additionally underlined that the performance of the Hungarian government would improve trust amongst the companies. Second, this study concluded that the level of interpersonal trust within three categories of companies was similar. A high level of interpersonal trust would expand internal engagement among the members of companies. Finally, the level of trust in business partners varied significantly within the distinct sizes of Hungarian ICT companies. A high level of trust in corporate associates improves business collaboration, reduces uncertainty, and supports long-term business connections. Levels of institutional trust and inter-organizational trust differed amongst different categories of companies. However, the level of interpersonal trust remained similar within companies of the various sizes.

Food Innovation Adoption and Organic Food Consumerism-A Cross National Study between Malaysia and Hungary.

In order to meet the rising global demand for food and to ensure food security in line with the United Nation's Sustainable Development Goal 2, technological advances have been introduced in the food production industry. The organic food industry has benefitted from advances in food technology and innovation. However, there remains skepticism regarding organic foods on the part of consumers, specifically on consumers' acceptance of food innovation technologies used in the production of organic foods. This study measured factors that influence consumers' food innovation adoption and subsequently their intention to purchase organic foods. We compared the organic foods purchase behavior of Malaysian and Hungarian consumers to examine differences between Asian and European consumers. The findings show food innovation adoption as the most crucial predictor for the intention to purchase organic foods in Hungary, while social lifestyle factor was the most influential in Malaysia. Other factors such as environmental concerns and health consciousness were also examined in relation to food innovation adoption and organic food consumerism. This paper discusses differences between European and Asian organic foods consumers and provides recommendations for stakeholders.

Bioeconomy: Biomass and biomass-based energy supply and demand.

This paper addresses the challenges of the transition from a fossil fuel-dependent to a bio-based economy and implications related to the production of food, feed, bioenergy and other bio-based materials. The objective is to provide a comprehensive review of global biomass and biomass-based energy supplies and demand, with particular attention to the EU. Furthermore, factors related to setting priorities in the use of non-food biomass are discussed, as food security will remain the top priority. Finally, the changes in the bioenergy balance indicators in the Member States of the EU and new plant breeding technologies are analyzed. Overall, this study describes the complexity of the bio-based value chains in making decisions on how best to use biomass. The article presents a comprehensive review on global biomass and biomass based energy supplies and demand, discusses the European chemical industry perspective, analyzes the changes in the biomass based energy balance indicators in the Member States of the EU, and considers the challenges of the new plant breeding technologies.

Is the Sustainable Choice a Healthy Choice?-Water Footprint Consequence of Changing Dietary Patterns.

It is evident that the modification of dietary patterns is a necessary precondition of disease prevention and health improvement. Changing nutritional habits also has deep-rooted consequences on the environmental burden. The majority of similar previous studies have analyzed the change in greenhouse gas emissions against theoretical modifications in current food consumption. The analysis on the effect of diet on the water footprint is also gaining in importance, since water supply is a critical global issue. Based on current nutritional patterns of a Central European country-Hungary-as well as dietary recommendations and scientific literature, we generated six dietary scenarios and determined the consequences of these on green (originally from precipitation) and blue (sourced from surface or groundwater) water consumption and dietary quality. Compared to the baseline scenario (current local nutritional pattern) of both genders, based on the integrated aspect of water footprint and dietary quality, the most disadvantageous scenario was the ketogenic (ca. -2% in dietary quality, +18% in blue water footprint, and +16% in green water footprint) and the most advantageous was the sustainable scenario (ca. +9% in dietary quality, -42% in green water footprint, and -29% in blue water footprint). As a summary it can be stated, that (1) there is no clear linear relationship between the "healthiness" and water footprint of different diets, but (2) a more balanced diet, which integrates nutritional and environmental considerations could decrease the environmental burden in an efficient way.

A Blind Man Leads a Blind Man? Personalised Nutrition-Related Attitudes, Knowledge and Behaviours of Fitness Trainers in Hungary.

It is well-documented that fitness trainers could play an important role in the nutrition-related behaviour of their clients based on their personalised nutrition-related counselling activities, but there are considerable concerns all over the world about the level of their knowledge to become nutritional coaches. In the framework of the current study based on qualitative (focus-group interviews) and quantitative (questionnaire and analysis of responses by multivariable methods, as well as structural equation modelling) methods, it has been proven that (1) theoretically, both the trainers and the dietitians acknowledge the importance of cooperation in the optimisation of coaching efficiency and advisory work due to some "professional jealousness" and differences in professional background, as well as in culture, so it is hard to find a common platform for cooperation, especially in market segments characterised by relative low levels of purchasing power; (2) due to lack of regulation, there is a high heterogeneity of professional competences of trainers in general and their nutritional competences, in particular; (3) the majority of trainers do not have an objective picture on his/her effective nutritional knowledge, and they often offer a much wider scope of services (e.g., nutritional counselling for clients with chronic diseases) which are well beyond their professional knowledge and (4) the dietary guidelines have not become an integral part of professional knowledge, even at the level of specialists. To improve the current-in some cases, dangerous-situation, the following steps should be taken: (1) enhancement of the level of professional qualification of future trainers, integrating the practice-oriented approaches and emphasising the role of teamwork by simulation-based practices; (2) highlighting in a clear way the professional and ethical boundaries of the activities of trainers and (3) working out an efficient incentive system for the continuous professional development of trainers.

The Reform of School Catering in Hungary: Anatomy of a Health-Education Attempt.

School lunch nutrition standards are an important carrier of messages on healthy eating and an efficient way of changing the nutritional behaviour of new generations. Many countries in Europe have a compulsory system of school meals; the Hungarian government also wanted to take action in order to improve the nutrition requirements of the school catering service. The Hungarian Ministry of Human Resources established some limits in the school catering system. However, increasing public pressure forced the legislating organ to considerably modify this regulation. The aim of this study is to analyse the causes of this failure, based on a conceptual framework of institutional economics and a strategic modelling of different institutes by examining the results of 72 interviews (33 experts, 26 parents and 13 teachers) conducted with representatives of different stakeholders. The results highlight the lack of preparation for the introduction of the new regulatory framework, as well as the inefficient communication between the different stakeholders. In order to support children in eating healthfully, a complex nutrition education program and continuous dialogue is needed between teachers, parents, catering staff and the government.

Adaptation of the Food Choice Questionnaire: the case of Hungary.

PURPOSE: The purpose of this paper is to examine the applicability of the original 36-item Food Choice Questionnaire (FCQ) model developed by Steptoe et al. (1995) in Hungary. DESIGN/METHODOLOGY/APPROACH: The national representative questionnaire involved 1,050 individuals in Hungary in 2015. Several multivariable statistical techniques were applied for the analysis of the data: confirmatory factor analysis, principal component analysis, and cluster and Log-linear analysis. FINDINGS: The results indicate that the original nine-factor model is only partially applicable to Hungary. This study successfully managed to distinguish the following factors: health and natural content, mood, preparation convenience, price and purchase convenience, sensory appeal, familiarity, and ethical concern. The FCQ scales proved to be suitable for the description of clusters based on specific food choices and demographic characteristics. By using the factors, the following five clusters were identified: modern food enthusiast, tradition-oriented, optimizer, easy-choice and un-concerned, all of which could be addressed by public health policy with individually tailored messages. ORIGINALITY/VALUE: The Hungarian testing process of the FCQ model contributes to an examination of its usability and provides the possibility of fitting the model to different cultures.