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In industry 4.0, individual behavior in organization is still very much considered as the main determinant of organizational performance. Organizational citizenship behavior (OCB) is one of the unique behavior of individuals affecting the effectivity of the organization. This study focuses on organizational citizenship behavior (OCB) based on the aspects of antecedents and their consequences. This study aims at examining (1) the indirect influence of transformational leadership on individual performance through organizational citizenship behavior motivation (OCBM) and OCB, (2) the direct influence of OCB on individual performance and organizational performance, (3) the direct influence of OCB for individual performance and organizational performance. This study was conducted to 66 heads of small business and 410 employee at small business in West Sumatera and analyzed using cross level methods and hypothesis testing using hierarchical linear modeling (HLM). This study found that 1). OCBM and OCB simultaneously mediate the relation between transformational leadership with individual performance and also have role in elevating the individual performance, 2) individual performance is the mediator between OCBM with organizational performance and it contributes in elevating the organizational performance. The theoretical and practical implications of this study are the tranformational leadership (TL) is able to motivate the members to carry out OCB actively in organizations. Some limitations and future research directions are discussed.
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The COVID-19 pandemic resulted in significant social and economic impacts throughout the world. In addition to the health consequences, the impacts on travel behavior have also been sudden and wide ranging. This study describes the drastic changes in human behavior using the analysis of highway volume data as a representation of personal activity and interaction. Same-day traffic volumes for 2019 and 2020 across Florida were analyzed to identify spatial and temporal changes in behavior resulting from the disease or fear of it and statewide directives to limit person-to-person interaction. Compared to similar days in 2019, overall statewide traffic volume dropped by 47.5%. Although decreases were evident across the state, there were also differences between rural and urban areas and between highways and arterials both in terms of the timing and extent. The data and analyses help to demonstrate the early impacts of the pandemic and may be useful for operational and strategic planning of recovery efforts and for dealing with future pandemics.
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This dissertation is composed of three chapters. While the chapters pertain to very different contexts, an overarching theme is the analysis of human behavior in response to policies that are inherently economic.The first chapter is the product of joint work with Justin Holz and Rafael Jimenez Duran. It studies repugnance towards price gouging. Emergencies like natural disasters or pandemics trigger sharp price increases for essential products. Anti-price gouging laws are ubiquitous and people take costly actions to report violators to law-enforcement agencies, which suggests that they value punishing sellers that spike prices in these situations. This chapter uses a field experiment to understand individuals' willingness to report sellers who increase the price of personal protective equipment at the height of the COVID-19 pandemic. We argue that reporting decisions contain information about repugnance to price gouging and find that willingness to pay to report is non-trivial and heterogeneous. We also find evidence that repugnance is partly due to distaste for seller profits, depending on the product. These results suggest that regulation discussions would benefit from incorporating repugnance into welfare and from addressing products separately.The second chapter focuses in the use of temporary driving restrictions as a tool for air quality management in Mexico City. Road congestion is understood to be a major source of urban air pollution and is also associated with other large non-health-related costs. Millions of people live in cities in which the number of cars on the road is controlled by allowing or prohibiting the use of a car on a given day depending on its license plate number. The empirical evidence available suggests little benefit from these programs;the policy increases the marginal cost of using the road for some users while decreasing it for others and incentivizes the acquisition of extra vehicles. This chapter studies the effect of temporary increases in the stringency of the restrictions as an add-on policy intended to alleviate extreme pollution events. The increased restrictions are triggered by Ozone levels surpassing a pre-specified threshold. This, coupled with the fact that said threshold was modified several times between 2005 and 2018, allows us to identify the effect of the policy. We document a sizable increase in the average speed of cars in the city during restricted days. This suggests the policy does alleviate congestion. We also observe a reduction on Carbon Monoxide and Ozone concentration, but these results are not robust to changes in the specification's functional form. While we cannot explicitly quantify welfare effects, the minor improvements are unlikely to compensate the major disruption in the commuter network without serious investment in public transit alternatives.The third chapter, co-authored with Enrique Seira and Alan Elizondo, investigates the role of information disclosure on financial markets as tool for consumer protection. We implement a randomized control trial in the Mexican credit card market for a large population of indebted cardholders and measure the impact of disclosures of interest rate and time required to pay outstanding debt on default, indebtedness, account closings, and credit scores;these disclosures are required by law in the United States. We also test the effect debiasing warning messages and social comparison information has on the same outcomes. We find that providing salient interest rate disclosures had no effects, while comparisons and debiasing messages had only modest and short-lived effects at best. We conduct extensive external validity exercises in several banks, with different disclosures, and with actual policy mandates. We conclude the null result is robust. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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Background: Companies had to find quick solutions for continuing to work due to the pandemic in spring 2020. However, working conditions at home (teleworking) do not always comply with the basic principles and quality criteria of workplace health promotion (WHP). Objectives: How strongly is the approach of health-promoting telework (working at home) established in companies and what influences the strategic anchoring and the use of supporting materials? Materials and methods: Theoretically derived hypotheses were operationalised and 1858 Austrian companies were invited to participate in an online survey. The sample (n = 192) represents a broad mix of company sizes, sectors and regions. Results: Workplaces vary widely in their intention to implement health-promoting telework in the future. A part can be explained by multivariate path models, with behavioural control and social norms playing a central role. The former is determined by the degree of preparation for telework and its implementation in the company. In particular, teleworking culture, in addition to teleworking readiness, is shown to be responsible for the strength of social norms towards its implementation. Conclusions: Teleworking has so far received too little attention in the sense of holistic WHP. Such an implementation strongly depends on the health-promoting corporate structures and processes, the culture, and the decision-makers' scope for action. Companies are recommended to follow the concept of capacity building in order to build up competencies and knowledge and to enable appropriate measures.
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Objective: Aim of study's determine frequency of hesitations of parents to COVID-19 vaccinate their children and parents the behaviors of take COVID-19 public health measures(PHM) for their children who applied to a university hospital in Turkey. Methods: This descriptive study is study of parental COVID-19 vaccine hesitancy and PHM in parents with children aged 5-12 years admitted to university hospital in Turkey, January-February 2022. Participants' sociodemographic, COVID-19 infection and vaccinations characteristics, status of parents taking PHM, COVID-19 Fear Scale are independent variables. Student's t test, ANOVA, chi-square test in univariate analyses, logistic-linear regression models in multivariate analyzes are used. Type-1 error value is 0.05. Analyzes are made using SPSS23.0. Results: Parents' mean age's 37.1+or-6.4, 68.7% of them female. Children's mean age's 8.5+or-2.3, 53.8% of them male. 17.9% of parents consider their knowledge of protection from COVID-19 and vaccines minimally sufficient/insufficient, 28.7% of them have negative attitude towards PHM for their children. 48.8% of parents have hesitations their children vaccination. As multiple analysis's result;fathers who've never been vaccinated, increase risk of hesitations 6.21 times (OR: 6.21;95%CI=2.16-17.82);parent's negative attitude towards PHM increases risk of hesitations 2.69 times (OR: 2.69;95%CI=1.35-5.35);each unit increase in mother's PHM behavior score affects hesitations 0.89 times (OR: 0.89;95%CI=0.84-0.95). While it's found that father's PHM behavior score had the most effect on parent's PHM behavior score, COVID-19 Fear Scale score had the least effect. Conclusion: Nearly one every two parents have COVID-19 vaccine hesitancy for their children. Fathers are main actors for taking PHM for COVID-19, so fathers as well as mothers should be considered target persons for children COVID-19 vaccine.
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Objective: To investigate the knowledge,attitude, and practice(KAP)related to COVID-19 and the satisfaction with the prevention and control of COVID-19 in urban and Rural Residents in Zunyi City, and provide a reference for the health education and prevention and control of COVID-19. Methods: Through online and offline questionnaires, the stratified multistage sampling method was used to investigate the KAP and satisfaction of urban and rural residents in Zunyi City for the prevention and control of the COVID-19epidemic, and to analyze the differences and influencing factors of KAP among residents with different characteristics. Results: A total of 603 valid questionnaires were collected. The total awareness rate of COVID-19 among residents was 79.43%. There was a significant difference in the awareness of COVID-19 among different ages, educational levels, and occupations(P < 0.05). The proportion of residents with a positive attitude towards COVID-19 was 87.23%, while there was no significant difference in the attitude of residents with different characteristics(P > 0.05). Moreover,93.37% of them had good behavior in preventing the COVID-19 virus, while the differences among residents with different education and occupation were statistically significant(P < 0.05). The result of multivariate analysis showed that residents with low education levels had lower cognition of COVID-19 than those with high education levels OR = 0.647(95%CI 0.548,0.764). The residents with high cognition took better protective behavior than those with low cognition OR = 0.531(95%CI 0.328,0.860). Conclusion: Urban and rural residents have a high degree of satisfaction,a good KAP, and a high level of enthusiasm for COVID-19prevention and control. However,it is necessary to strengthen the publicity and education of COVID-19 in vulnerable groups(such as low education levels and older/younger) to better promote the precise prevention and control of COVID-19.
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The effort to reach the 17 Sustainable Development Goals by the United Nations has incentivized the adoption of IT solutions in many fields. Many systems for sustainable economic development are now relying on a digital form making them more accessible and provides the access to new functionalities. A very interesting example of such systems are complementary currencies i.e. cooperative currency systems that support national economies to provide humanitarian aid and promote sustainable development. While there are many studies on the principles and case studies of successful complementary currencies, many aspects are still unexplored, especially regarding cooperative behavior. Cooperative behavior in these systems is a key aspect, as complementary currencies are often born out of cooperation among members that face a period of crisis or they usually have the objective of creating bonds of reciprocity and integrating social networks between people, which should lead to increased cooperation. However, there is a lack of studies on many aspects of cooperative behavior in complementary currencies, such as how such behavior changes over time, especially in times of a crisis like the COVID-19 pandemic. Moreover how cooperation behavior is affected by time and different geographical locations is still unclear. In this work, we analyze Sarafu, a complementary currency that went digital and now relies on blockchain technology. Sarafu is a successful case of a complementary currency that was used for humanitarian aid during the COVID-19 pandemic. Moreover, Sarafu is a perfect case study for the study of cooperative behavior, as it implements a special type of account, the group account, to support cooperation groups. This feature supports the study of group dynamics and behavior. What we find is that Sarafu users exhibit strong reliance on cooperation groups;we also observe that the interaction of users and cooperation groups is influenced by both time and geographical location. The study of group accounts and in general mechanisms that promote cooperation can be useful for other humanitarian or community development projects. Moreover, similar cooperation enhancers could have an important role in other social development projects, and in general, in any setting where there is a strong need to foster cooperation for reaching social good.
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To investigate the influence of human behavior on the spread of COVID-19, we propose a reaction-diffusion model that incorporates contact rate functions related to human behavior. The basic reproduction number R0 is derived and a threshold-type result on its global dynamics in terms of R0 is established. More precisely, we show that the disease-free equilibrium is globally asymptotically stable if R0≤1; while there exists a positive stationary solution and the disease is uniformly persistent if R0>1. By the numerical simulations of the analytic results, we find that human behavior changes may lower infection levels and reduce the number of exposed and infected humans.
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Background & Aims: In early January 2020, a new corona virus called corona was identified as an infectious agent by the World Health Organization and caused a viral pneumonia outbreak, the first of which was reported in Wuhan, China in December 2019. The virus has so far infected most countries in the world and has become a global problem. By this time in December 2021, about 265 million people in the world have been infected with this virus and 5 million 270 thousand people have died from this disease. According to the World Health Organization, the incidence of this disease is still increasing and will become the third leading cause of death in the world by 2030. This disease has a special complexity and has multiple dimensions and consequences that have caused many problems in the field of health, social and economic as well as psychological for people. The emergence of this disease is now a public health crisis. According to this research, exposure to news and restrictions caused by this disease can lead to many mental health problems. In fact, one of the situations that puts a lot of stress on people during the outbreak of covid 19 disease is the inability to predict and uncertainty about the control and end of the disease. Mental health is defined as a harmonious and harmonious behavior with society, recognizing and accepting social realities, the power to adapt to them and meeting one's balanced needs and is an important factor for the health of society. The prevalence of the disease can also increase feelings of loneliness, decrease social support, feelings of fear and anxiety to clinical stress and anxiety, obsessive-compulsive disorder associated with the disease, and decreased life expectancy. One of the hopeful factors is health and the disease can cause despair, fear and even despair of the patient. The outbreak of a disease has a much deeper and wider impact and affects not only the affected community and relatives, but the entire community. Because everyone finds themselves at risk, and therefore people's feel of safe and healthy changes, and this situation causes people to despair. Hope is the capacity to imagine the ability to create paths to desirable goals and to imagine the motivation to move in those paths. Hope predicts physical and mental health such as positive response to medical interventions, mental health, effective getting along, and health-promoting behaviors. Covid 19 disease can also lead to psychological problems due to its infectious nature and unpredictable nature. In this regard, various researchers consider the implementation of public health policies, including areas related to individual and collective mental health in accordance with the different stages of the epidemic of this disease is very necessary. Mindfulness can be an effective tool for achieving peace of mind and body that helps people become aware of their current feelings. Mindfulness-based interventions are considered as one of the third generation or third wave cognitive-behavioral therapies. Mindfulness is a form of meditation rooted in Eastern religious teachings and rituals, especially Buddhism. Segal has defined mindfulness as paying attention to specific and purposeful ways, in the present time, without judgment or prejudice. Linhan stressed for the first time the need to pay attention to mindfulness as one of the essential components of psychological therapy. Mindfulness requires the development of three components: judgment avoidance, purposeful awareness, and focus on the present moment. Focusing on the present and processing all aspects of the above experience makes one aware of the daily activities and automatic functioning of the mind in the past and future world and he controls emotions, thoughts, and physical states through moment-to-moment awareness of thoughts. As a result, it is released from the everyday and automatic mind focused on the past and the future. Although general vaccination has reduced the virus in some countries, including Iran, and reduced the number of infected people, a large num
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BACKGROUND: The initial wave of the COVID-19 pandemic placed a tremendous strain on health care systems worldwide. To mitigate the spread of the virus, many countries implemented stringent nonpharmaceutical interventions (NPIs), which significantly altered human behavior both before and after their enactment. Despite these efforts, a precise assessment of the impact and efficacy of these NPIs, as well as the extent of human behavioral changes, remained elusive. OBJECTIVE: In this study, we conducted a retrospective analysis of the initial wave of COVID-19 in Spain to better comprehend the influence of NPIs and their interaction with human behavior. Such investigations are vital for devising future mitigation strategies to combat COVID-19 and enhance epidemic preparedness more broadly. METHODS: We used a combination of national and regional retrospective analyses of pandemic incidence alongside large-scale mobility data to assess the impact and timing of government-implemented NPIs in combating COVID-19. Additionally, we compared these findings with a model-based inference of hospitalizations and fatalities. This model-based approach enabled us to construct counterfactual scenarios that gauged the consequences of delayed initiation of epidemic response measures. RESULTS: Our analysis demonstrated that the pre-national lockdown epidemic response, encompassing regional measures and heightened individual awareness, significantly contributed to reducing the disease burden in Spain. The mobility data indicated that people adjusted their behavior in response to the regional epidemiological situation before the nationwide lockdown was implemented. Counterfactual scenarios suggested that without this early epidemic response, there would have been an estimated 45,400 (95% CI 37,400-58,000) fatalities and 182,600 (95% CI 150,400-233,800) hospitalizations compared to the reported figures of 27,800 fatalities and 107,600 hospitalizations, respectively. CONCLUSIONS: Our findings underscore the significance of self-implemented prevention measures by the population and regional NPIs before the national lockdown in Spain. The study also emphasizes the necessity for prompt and precise data quantification prior to enacting enforced measures. This highlights the critical interplay between NPIs, epidemic progression, and human behavior. This interdependence presents a challenge in predicting the impact of NPIs before they are implemented.
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COVID-19 , Pandemics , Humans , Pandemics/prevention & control , COVID-19/epidemiology , Communicable Disease Control , Retrospective Studies , Spain/epidemiologyABSTRACT
The novel coronavirus SARS-CoV-2 emerged in 2019 and subsequently spread throughout the world, causing over 600 million cases and 6 million deaths as of September 7th, 2022. Superspreading events (SSEs), defined here as public or social events that result in multiple infections over a short time span, have contributed to SARS-CoV-2 spread. In this work, we compare the dynamics of SSE-dominated SARS-CoV-2 outbreaks, defined here as outbreaks with relatively higher SSE rates, to the dynamics of non-SSE-dominated SARS-CoV-2 outbreaks. To accomplish this, we derive a continuous-time Markov chain (CTMC) SARS-CoV-2 model from an ordinary differential equation (ODE) SARS-CoV-2 model and incorporate SSEs using an events-based framework. We simulate our model under multiple scenarios using Gillespie's direct algorithm. The first scenario excludes hospitalization and quarantine; the second scenario includes hospitalization, quarantine, premature hospital discharge, and quarantine violation; and the third scenario includes hospitalization and quarantine but excludes premature hospital discharge and quarantine violation. We also vary quarantine violation rates. Results indicate that, with either no control or imperfect control, SSE-dominated outbreaks are more variable but less severe than non-SSE-dominated outbreaks, though the most severe SSE-dominated outbreaks are more severe than the most severe non-SSE-dominated outbreaks. We measure severity by the time it takes for 50 active infections to be achieved; more severe outbreaks do so more quickly. SSE-dominated outbreaks are also more sensitive to control measures, with premature hospital discharge and quarantine violation substantially reducing control measure effectiveness.
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Introduction: Today, the coronavirus has covered the whole world and has affected not only the body of the patients but also their psyche. Patient satisfaction is one of the quality indicators of health care in medical centers in all countries. The present study investigated the level of patients hospitalized in the wards of Covid-19 hospitals affiliated with Zahedan University of Medical Sciences from December 21, 2020, to June 21, 2021. Materials and Methods: The present study was cross-sectional-analytical and included the evaluation of the level of satisfaction with the services provided to 194 patients with covid-19 hospitalized in affiliated hospitals of Zahedan city from December 21, 2020, to June 21, 2021. The sampling method was easy and accessible. To collect information, a questionnaire including questions to measure the level of satisfaction of the patients was prepared and provided to the patients. The questionnaire consisted of two parts;one part included personal information, including age, gender, marital status, level of education, and the department and hospital where the people were admitted. The second part included questions about the patient's level of satisfaction with the services and conditions of the hospital and the department where they were admitted. Statistical analysis was done using an independent t-test, Mann-Whitney, ANOVA, or Kruskal-Wallis Statistical analysis was done using IMB SPSS V20.0 software, and an alpha error value less than 0.05 was considered significant. Results: A total of 194 people were included in the study. The highest level of satisfaction was related to the speed of file filing and the guidance of the receptionist (78.9%), the lighting of the room (77.3%), the behavior and attitude of the nurses (69.1%), and the quality of the hospital food (60.3%). Also, the lowest level of satisfaction was related to the cooling and heating system of the room (13.9%), facilities and facilities of the room (6.7%), and hygiene and cleanliness of different parts of the department (2.6%). Conclusion: There is no significant relationship between insurance, marriage, and gender with the level of patient satisfaction. But a meaningful relationship between education, ward, and hospital with the level of patient satisfaction has been observed. Considering the average level of patient satisfaction, to reach a high level of happiness, it is possible to take steps to improve the quality of medical and non-medical services and increase the satisfaction of patients by strengthening the positive points and also analyzing cases of patient dissatisfaction.
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The world has witnessed a sudden change of horizon in the legacy, lifestyle of the human being due to the COVID-19 (Corona virus). The set protocols made by the different states of the world to harness the available resources on earth for human development came under a halt due to COVID-19. We have conducted a study on the immediate effects and the unprecedented change in the world we live in due to the ongoing pandemic. The paper aims to discuss and analyze the impact of this on the people and suggesting the appropriate remedies. The data collected has been done through online modes and the behavior of the people is observed, analyzed, and finally the results are represented with suitable assessments. During the study, few important parameters taken under consideration are the impact of COVID-19 on health, relationships, lifestyle, online education, screen time and income, etc. The paper aims to highlight the immediate impact of the COVID-19 on the behavioral change of the people and assessment of awareness in the general population about COVID-19.
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Smith, argues Sagar, is more concerned with politics than morality, his work attuned to political struggles generating our ways of life and value orders. It remains commonplace to meet academics who still view Adam Smith as an egoist, a theorist of self-interest. [Extracted from the article] Copyright of Perspectives on Political Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Since the World Health Organization (WHO) characterized COVID-19 as a pandemic in March 2020, there have been over 600 million confirmed cases of COVID-19 and more than six million deaths as of October 2022. The relationship between the COVID-19 pandemic and human behavior is complicated. On one hand, human behavior is found to shape the spread of the disease. On the other hand, the pandemic has impacted and even changed human behavior in almost every aspect. To provide a holistic understanding of the complex interplay between human behavior and the COVID-19 pandemic, researchers have been employing big data techniques such as natural language processing, computer vision, audio signal processing, frequent pattern mining, and machine learning. In this study, we present an overview of the existing studies on using big data techniques to study human behavior in the time of the COVID-19 pandemic. In particular, we categorize these studies into three groups-using big data to measure, model, and leverage human behavior, respectively. The related tasks, data, and methods are summarized accordingly. To provide more insights into how to fight the COVID-19 pandemic and future global catastrophes, we further discuss challenges and potential opportunities.
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PURPOSE: Incorporating human behavior in a disease model can explain the oscillations in COVID-19 data which occur more rapidly than can be explained by variants alone on college campuses. METHODS: Dampened oscillations emerge by supplementing a simple disease model with a risk assessment function, which depends on the current number of infected individuals in the student population and the institutional public health policies. After accounting for a rapid disease impulse due to social gatherings, we achieve sustained oscillations that follow the trend of 2020/2021 COVID-19 data as reported on the COVID-19 dashboards of US post-secondary institutions. RESULTS: This adjustment to the epidemiological model can provide an intuitive way of understanding rapid oscillations based on human risk perception and institutional policies. More risk-averse communities experience lower disease-level equilibria and less oscillations within the system, while communities that are less responsive to changes in the number of infected individuals exhibit larger amplitude and frequency of the oscillations. CONCLUSIONS: Community risk assessment plays an important role in COVID-19 management in college settings. Improving the ability of individuals to rapidly and conservatively respond to changes in community disease levels may help assist in self-regulating these oscillations to levels well below thresholds for emergency management.
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COVID-19 , Humans , COVID-19/epidemiology , Risk Assessment , Public HealthABSTRACT
PurposeDespite the abundant literature on panic buying during COVID-19 pandemic, the several causes and consequences of panic buying have been enormously ignored. The purpose of this study is to emphasize the consumer's behavior during the COVID-19 pandemic and illustrate the comprehensive theoretical model of consumers' panic buying to investigate its causes and consequences in a developing country empirically to uncover this gap.Design/methodology/approachThe authors collected data from 419 households of all socioeconomic classes of Bangladesh. A hierarchical regression model analyzed the data.FindingsThis study finds that internal and external factors such as rumors, government strategies, fear and anxiety and health security significantly affect consumers' panic buying behaviors. This finding supports some theories of human behavior. This study also finds that panic buying has internal and external consequences such as price hike, shortage of supply of products, dissatisfaction of consumers and increase in utility (benefit) of the products but not on consumer's budget. This finding supports as well as contradicts some established theories of human and consumer behavior.Originality/valueThis study proves that panic buying cannot help the consumers and they are the ultimate sufferers of this. The findings of this study will help the government, media, suppliers and consumers to interact properly to maintain panic buying during a pandemic crisis. Giving a holistic explanation of the causes and consequences of panic buying by introducing some novel variables is a momentous strength of this study.
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One of the main requirements of modern society, and for the sake of its survival, is the formation of socially responsible behavior towards the greatly endangered environment. Every day we are faced with the problems of pollution, global warming, depletion of the ozone layer and many others. Therefore, it is of paramount importance to influence the youngest generations to develop attitudes that will develop a high awareness of the need to protect nature and how to treat it. In this sense, today, and for the sake of the future, we must actively work on the development of pro-environmental attitudes in children, which would manifest themselves in pro-environmental behavior tomorrow. The development of this cognitive component, that is, the attitude requires the society to instil in the child knowledge about nature, its benefits, but also its demands and the inseparability of man from it, which affects the child's affective relationship towards it, the feeling of attachment to the environment that becomes an integral part of values. With their conative component, attitudes also initiate individuals to act. This especially necessary during the current COVID-19 pandemic and the unresolved question of the origin of the virus. Was it created artificially in laboratories or is it of natural origin, as nature's response to man's relationship to it. Some studies show that children in the first grades of elementary school understand the phenomenon of environmental pollution, they even know about different types of pollution, but they still do not understand the causes of these events. Therefore, although there is not much research dealing with this problem, we consider it important to analyse current knowledge about the psychological factors influencing the development of pro-environmental attitudes in children.
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It is obvious that the Covid-19 virus outbreak crisis has had many negative effects on tourism businesses worldwide;Therefore, it is necessary to study the adaptation behaviors to this crisis in order to reduce its adverse effects leading to manage the adaptive behaviors of this crisis by sharing experiences and to ensure the continuity of tourism businesses in times of crisis. The current study aims to investigate the behavioral adaptation model of tourism business owners in Kermanshah Province facing COVID-19 crisis. The population of this study includes business owners in the field of tourism in Kermanshah Province. Purposeful snowball sampling was used to select the interviewees. Sampling was continued until theoretical saturation was reached. In this study, theoretical saturation was obtained by examining 38 samples from the mentioned population. Data collection was done through open (unstructured) questionnaires, in-depth individual interviews, note-taking, document review, or often a combination of these methods. The results obtained from the research data in the open, axial and selective coding process were extracted and classified in the form of concepts. Based on the data;a "model of behavioral adaptation of tourism business owners in the face of the Covid-19 crisis" was designed and presented. In general, the results showed that the behaviors included two categories of reactive adaptive behaviors and planned adaptive behaviors that reactive adaptive behaviors are the basis for the destruction of businesses in the long run and planned adaptive behaviors paves the way for the growth and development of businesses in the long run. It is suggested that policymakers try to reduce reactive behaviors and improve planned behaviors in order to grow and develop businesses in the long run by adopting correct and principled policies.
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Since the forest products industry is a labor-intensive that should be considered important in terms of occupational accidents and diseases. In the forest products industry sector, there is a high potential for the emergence of negativities in terms of occupational health and safety due to the working environment's mechanical, physical, and environmental factors. It will be possible to prevent occupational accidents and diseases by taking the necessary precautions for occupational health and safety in working environments. This study is aimed to examine the factors affecting risk-taking behavior from the perspective of blue-collar (employee) and white-collar (manager) workers in forest products industry sectors operating in the TR42 Level 2 region. For this purpose, 148 different enterprises with 10 or more employees for the forest products industry in the study region and 10835 employees with the number of employees in these enterprises consisted of the universe of the study. Due to the pandemic (Covid-19) process in 2020, 687 participants from a total of 64 different businesses, 36 and 28 of them from furniture and wood & cork products businesses, respectively, were reached through face-to-face interviews. Questionnaires were used as a data collection tool in the study. As a result, white-collar workers think that blue-collar workers tend to take more risks, more importance is given to security-related issues within the enterprise, and working conditions are better within the enterprise. This study will provide guiding information to understand the factors affecting the risk-taking behavior of both white-collar and blue-collar workers.