جستجوی مقالات مرتبط با کلیدواژه « کووید-19 » در نشریات گروه « مدیریت »

Because of Covid-19 pandemic, psychological distress occurred worldwide. Servant leadership style is a supportive style that increases communication satisfaction, and communication satisfaction is an important factor in reducing psychological pressures. Therefore, it seems that factors such as choosing a servant leadership style and increasing social relations can help to reduce the psychological challenges. This study aims to investigate the mediating role of personal social capital between servant leadership behaviors and employee depression and social anxiety during the Covid-19 pandemic. This research is an applied and descriptive. Data gathering instrument is questionnaire. The statistical population consisted of 419 employees of Guilan Steel Complex, and the optimal sample was 221. Questionnaires were distributed among the employees using the simple random sampling method. The partial least squares method was used to analyze the data. The results revealed servant leadership behaviors has a positive relationship with personal social capital, and personal social capital has a negative relationship with depression. As well, servant leadership behaviors has relationship with depression. Therefore, personal social capital has a partial mediator role between servant leadership behaviors and depression. The findings also indicate the personal social capital has a negative relationship with social anxiety. However, servant leadership behaviors has no relationship with social anxiety. Hence, personal social capital has a full mediator role between servant leadership behaviors and social anxiety. Moreover, Servant leaders will lead to an increase in employees' desire for social interaction and a decrease in their psychological problems.

The current applied research was conducted with the aim of investigating the effects of social networks and social behavior on electronic businesses during the Covid-19 pandemic. E-business was considered in two dimensions: the use of e-business systems and the development of e-business systems. Research is of applied type. researcher-made questionnaire derived from standard questionnaires was prepared and compiled as a research tool. The statistical population studied included all e-business managers on instagram.Eighty managers participated through the snowball methodin. The data were analyzed with the statistical package of social sciences. At a significance level of 0.05, the findings indicate that during the Covid-19 pandemic social networks and social behavior have a positive relationship with e-business. Also, social networks have a positive relationship with the developing and using of business systems. However, no such effect was seen in the relationship between social behavior and the developing and using of electronic business systems.

This study aims to investigate the impact of the COVID-19 pandemic on stock market volatility, with a specific focus on the role of economic policies. The primary objective is to identify and analyze how the stock market responds to the COVID-19 crisis and the influence of economic policies on these responses. 

To achieve the research objectives, the Smooth Transition Regression (STR) model was used to analyze stock market data from 1991 to 2022. Initially, stock market volatility was calculated using the ARCH and GARCH models. Then, the impact of COVID-19 and other economic variables on stock market volatility was assessed using the smooth threshold model.

The findings of this study indicate that the COVID-19 crisis has had a positive and significant impact on stock market volatility. Additionally, changes in economic policies during the pandemic have led to increased market volatility. The study also revealed that during the COVID-19 period, stock market volatility was highly influenced by macroeconomic variables such as interest rates and industrial production indices. 

The study concludes that the COVID-19 crisis significantly increased stock market volatility, largely due to economic uncertainties and investors' psychological behaviors. The findings provide valuable insights for policymakers and market participants in better managing market volatility during similar economic and health crises.

In response to the Covid-19 pandemic, governments around the world have imposed severe traffic restrictions and presented different scenarios to reduce emissions from traffic sources. By applying the traffic restrictions caused by the Covid-19 epidemic, it was expected to see changes in the concentrations of air pollutants. Therefore, it was decided that the changes of air pollutants as one of the subsets of the environmental index of sustainable urban development during the covid-19 epidemic will be investigated. For this purpose, the aforementioned data are first collected in the four metropolitan cities: Tehran, Karaj, Ahvaz and Tabriz, and then processed and cleaned. After that, a proposed algorithm based on machine learning methods is presented. Machine learning methods decision tree, random forest, support vector machine, Bayesian network and perceptron neural network are applied to the selected features. Investigations showed that the prediction model using decision tree and random forest had the best performance for both recall and accuracy criteria. The research results showed that the effect of restrictions on the concentration of pollutants in different cities is different. Also, the results show that, in general, the application of traffic restrictions during the epidemic period did not have a significant and noticeable effect in reducing the concentration of air pollutants. Also, the studies showed that the application of traffic restrictions and consequently the possible reduction of some air pollutants are not related to the deaths caused by Covid-19.

Social responsibility is one of the most important social characteristics that becomes more important when natural and human hazards occur. The current research aims to examine the relationship between the feeling of insecurity and social responsibility after the COVID-19 pandemic in Tabriz, Iran. 

This is a quantitative survey study. Participants were 384 residents of Tabriz city aged 18-70 years who were selected using multi-stage cluster method. Data were collected using questionnaires.

There was a significant and inverse relationship between the feeling of insecurity and social responsibility. People’s social responsibility was significantly different based on gender, educational level, and occupation, but there was no significant difference based on age.

The COVID-19 pandemic had a role in reducing the social responsibility of people in Iran by creating a sense of insecurity in social interactions.

The impact of COVID-19 on the way we live has been unprecedented. Travel and tourism were among the leading sectors to face a catastrophic downturn as national borders were closed to contain the outbreak. Precautionary measures were taken, and social distancing became a norm. Most people had to cancel or postpone their travel plans. The current crisis requires a strong preparation from the industry for a fresh start on health and resilience. The emergence of that deadly disease has led to huge financial losses and created global health and economic crises around the world. Epidemics have a negative effect on the behavior of tourists and their mental health. As a result, they abandon their planned tours for fear of catching the disease, as it seems impossible to avoid the transmission of the virus during the trip. Globally, travel and tourism make a significant contribution to job creation as well as socio-economic and cultural development worldwide. Now, according to the existing potentials and the drivers that can lead to re-upgrading the competitive advantage of travel and tourism after the COVID-19 era in our country, it is necessary to carry out necessary investigations so as to identify the forces affecting it and invest in them. This can again improve Iran's position. Therefore, this research seeks to identify and structure the factors affecting the success of agile marketing in turbulent conditions after COVID-19. This research was conducted with a qualitative approach in terms of data collection. It is also descriptive in terms of its purpose and is in the category of applied research. The statistical population of the research consisted of the professors and senior managers and active experts in the units related to the field of marketing in Yazd City. The selection of the participants in the present research was non-random and by targeted judgmental sampling. The respondents to the questionnaires of this research were 10 professors and senior managers and active experts in the units related to marketing and tourism, of which three professors were in Yazd University, four experts in the field of tourism and three in marketing. In this research, a researcher-made questionnaire was used to collect the data. To design the items of the questionnaire, first, several internal and external articles related to the research topic were reviewed, and agile marketing factors were identified in each article. These surveys to find agile marketing factors were done until saturation was reached and no new factor was encountered. The questionnaire items on agile marketing factors were found from different articles. The data obtained from the research questionnaire were analyzed through the ISM technique. In the current research, the opinions of experts were used to check the validity of the questionnaire. The questionnaire consisted of a series of completely standard tables related to structural-interpretive modeling, so it had acceptable validity. According to the results of the research, thirteen factors are involved in agile marketing. The indicators of responsiveness, market-based organizational learning, group and regional sales development, marketing mix compatibility, and rapid change of marketing mix in pace with the change of market competitive conditions are among the most important factors affecting success. In many cities, regions and countries, tourism plays an important role as a strategic pillar of the economy's GDP. The tourism and leisure industry plays a vital role in economic activity and customer satisfaction, but now it has also become the most vulnerable member of the industry. The development of the tourism industry is of great importance, especially for developing countries that are faced with problems such as high unemployment, limited foreign exchange resources, and a single-product economy. In turbulent environments, industries constantly face challenges. Failure to quickly respond to these challenges may result in significant financial losses. Agile marketing is effective in the turbulent post-corona situation. The analysis of influence-dependency power showed that market-based organizational learning has the most influence and dependency power. Based on the findings of this research, in order to increase the success of agile marketing in post-corona unbalanced conditions, it is suggested to use agile marketing to discover opportunities and align the market trends so that they may not adopt ambiguous strategies against sudden changes. Agile marketing makes it possible to make changes to any part of the program without disrupting other parts. It is recommended that there should be very clear and explicit communication and the duties of each department should be specified. Also, by holding daily meetings, important departments in this industry should be aware of the work process. Priorities are taken into account, because it enables different departments to put on the right track, thereby increasing the sale of products and services and making the business prosperous. The agile method allows dividing the goals into different and independent and yet related parts, testing each part on a daily or weekly basis, and checking the results. If it does not work, another method should be adopted. This not only avoids the waste of time and big expenses but also, in a short time, determines the result of every decision and action. It is suggested that all the departments interact and choose the best solutions together. It is also recommended to be customer-oriented because agile marketing is customer-oriented and can always involve customers' opinions in the work process. By changing the customer's behavior, different departments can be quickly organized in line with the customer's satisfaction. And finally, agile marketing allows you to work on all the parts of a big project at the same time. Therefore, it is suggested to comprehensively investigate environmental imbalance with agile marketing

The Covid-19 pandemic has caused significant changes in various aspects of people's lives around the world. The outbreak of Covid-19 is a reminder that epidemics, like other disasters and events that happen rarely, have happened in the past and will happen in the future. Even if we cannot prevent the creation of dangerous viruses, we must be prepared to reduce their effects on society. The Covid-19 pandemic, which has affected the entire world, has caused changes around the world and in many areas of life. These changes have affected consumer behavior and continue to affect them. Although past societies have been affected by several epidemics and pandemic, it is difficult to estimate their long-term economic, behavioral, or social impacts. These aspects have not been studied in the past. There are few studies to show what the consequences of major historical pandemics over the past few years have been in the area of consumer behavior. In addition, scientists suggest that new Pandemic continue to pose a risk in the future. Therefore, understanding the life of consumer behavior in the face of this pervasive disease and even beyond, is of great importance for marketers as well as business planners and policy makers. These changes have also affected consumer behavior. The purpose of this study is to explain consumer behavioral responses during the outbreak of the Covid-19 pandemic, with an emphasis on food consumption.

In order to answer the main question of the research, an in-depth interview and the design of the interview protocol have been used according to the literature review. By using the purposeful sampling method, 40 interviews were conducted with consumers in Tehran and analyzed with MAXQDA software. In this research, Cohen's kappa index was used to measure the reliability of interview coding.Based on the data analysis, consumers respond to the existing crisis in three stages, reacting, coping and adapting during the outbreak of COVID 19. In order to analyze the data, at first, after the interviews were transcribed, the interviews were read several times. In the next step, coding started.

After data analysis and open, axial and selective coding, 23 codes were obtained, which were classified into three categories: reaction(postponing purchases; reducing consumption; replacing with other items; online shopping; telephone shopping; increasing purchases; decreasing purchases; increasing sensitivity to the shopping environment; increasing Compliance with health protocols; visiting physical stores less often; visiting small stores near where you live and visiting virtual stores more), coping (doing things by yourself and trying new products or brands)and adapting(healthy diet and increasing consumption of dairy products and healthy foods; increasing the consumption of organic products and vegetables; changing lifestyles; awareness of health and hygiene; reducing the consumption of prepared and frozen foods; using disinfectants and being more sensitive about hand hygiene; online shopping; cooking at home ; sensitivity to the shopping environment), and finally, the results of the analysis were presented in the conceptual model.

Combining and integrating the researches, a comprehensive model has been presented in relation to consumer behavioral responses during the outbreak of Covid-19. The obtained results were presented in the form of a conceptual model. The results showed that at the beginning of the outbreak of the pandemic of Covid-19, people reacted to the outbreak in the form of things such as went to physical stores less, postponing purchases, shopping online and by phone, so that they are less exposed to infection. Also, after some time, by doing things by themselves, such as cooking, they have coping with Covid-19, and finally, things like a healthy diet, sensitivity to the shopping environment, lifestyle changes, and online shopping are among the things that are still in the long term. The Covid-19 pandemic has brought about changes in consumer behavior. The results of this research showed that during the period of Covid-19, consumers used to buy from supermarkets and stores near their places of residence and stated that they would visit them after the end of the period, i.e. in the post-Covid-19 period. Therefore, small and local retailers can use this opportunity to offer products and services. The pandemic provided the opportunity to shop online and over the phone, and consumers preferred home delivery to be less exposed to the virus, so retailers, stores and even small supermarkets should take note. There is also the possibility of subsequent epidemics, therefore, marketers and stores, large and small retailers must acquire the necessary preparation in terms of infrastructure to face it in order to reduce its effects. Businesses must design new models to meet the changing or evolving needs of consumers in the post-Covid-19 era.

By applying the restrictions caused by the Covid-19 pandemic, it seems that changes in the concentrations of pollutants CO, O3, NO, NO2, SO2, PM2.5, PM10 and AQI can be seen in the periods before and after the epidemic. Therefore, the changes of air pollutants and traffic restrictions are investigated as one of the sub-categories of environmental indicators of sustainable urban development in the period of 2018/01/21 to 2022/03/20 in the stations under the supervision of Tehran city. First, the data is collected, processed and cleaned. Machine learning methods including decision tree, random forest, support vector machine, Bayesian network and perceptron neural network are applied to select the effective features using the particle swarm optimization method. Investigations showed that the prediction model using decision tree and random forest had the best performance for both precision and recall criteria. The results of the research showed that the concentration of pollutants in the period of Covid-19 compared to before, is increased in some stations and decreased in others, and also the application of traffic restrictions during the epidemic did not have a significant and noticeable effect in reducing the concentration of air pollutants. Also, by examining the trend of deaths during the epidemic period, it was found that the decrease or increase of pollutants has no significant relationship with the trend of deaths caused by Covid-19.

The continuing Covid-19 crisis has caused irreparable damage in many industries. Considering that we are witnessing these losses in the hotel industry, so this study seeks to identify and determine the components and dimensions of the crisis in the financial field in the critical situation of Covid-19 in the hotel industry of Alborz province. There are 15 hotels. The research method is applied and the research design is descriptive-correlational research. Field and library methods have been used to collect data. The data collection tool was a standard online questionnaire whose validity was estimated by experts and its reliability was estimated using Cronbach's alpha. The main basis for gathering information is to conduct in-depth interviews with hotel managers and academic experts until the theoretical saturation is reached; a total of 22 interviews were conducted. The statistical population includes all hotels in Alborz province and its time zone in the first half of 1400. After performing the three steps of open, axial and selective coding, the final research model has been obtained; in this model, 6 general categories, 15 sub-categories and 53 main concepts are mentioned. The results show that in this situation, the categories of executive instructions, organizational level strategies of hotels in managing financial crisis and inefficiency of crisis organization have the highest frequency and executive instructions are in the first priority; and the consequences of these categories have had a significant impact on increasing the costs of this industry.

Regardless of the effectiveness of the policy during the formulation stage, it is crucial for the policy to be seamlessly integrated and solidified within the actual procedures and practices of the local destination of implementation. This integration is essential for realizing the intended benefits of the policy. This study aims to identify and categorize obstacles and opportunities for effective implementation of Covid-19 crisis policies in the executive bodies of Kurdistan Province. 

Using a qualitative case study approach, data was collected through interviews with 32 employees from five government organizations: The health network, education network, banking network, traffic police, and governorate organizations. 

Data were analyzed based on a conceptual model consisting of fourteen factors. The study identified several obstacles and inhibiting factors, including a lack of facilities, non-cooperation of the people, insufficient financial support from the government, incorrect information from organizations, and limited interaction between people and organizations. Opportunities and drivers of implementation included problem-solving through disobeying orders, the sacrifice of employees, high levels of inter-organizational cooperation, problem-solving through consultation with higher authorities, and increased interaction between people and organizations. The findings provide insights for policymakers and practitioners on effective implementation of crisis policies at the local level. 

Effective crisis management necessitates social participation and recognition of the influential role of media, within both organizational and citizen levels. Policymakers and government executives should utilize the potential of public participation and the media to formulate and implement crisis policies, thereby addressing any potential weaknesses in policy formulation through collaboration and empathy.

Teleworking is a phenomenon that has been around for a long time, and with the passage of time and the advent of the Internet, as well as the development of information and communication technology, it took on a new form. The epidemic of the Covid-19 disease had a significant impact on the promotion and development of remote work and doubled the importance of examining the factors related to it. Based on this, the current research was carried out with a mixed method to analyze the antecedents and consequences of organizational remote work during the epidemic of Covid-19 disease and in the year 2023. In this research, using the qualitative method and the systematic review approach, indicators related to the antecedents and consequences of organizational remote work were extracted and the consequences were categorized into two favorable and unfavorable sections. Then, in the quantitative section, the indicators were given to 28 experts in the field of human resources through an electronic questionnaire. After that, the indicators agreed by the experts were ranked based on the level of importance with the Shannon entropy criterion. SPSS software was used for statistical analysis. The results showed that among the antecedents, the index of development of information and communication technology means the use of technological tools and having information literacy, and among the favorable consequences, increasing the effectiveness of activities, and among the unfavorable consequences, reducing physical activities. , took first place.

One of the ways to reduce disasters facing a society is to invest in promoting national resilience. The aim of this study was to design a model of collective resilience in global crises. The present study was a qualitative study that was conducted by data foundation method. Participants in this study included 16 experts in the field of management and public health who were selected by purposive sampling. Data collection method was semi-structured interview. Data were analyzed in three stages of open, axial and selective coding. Data validation was performed by the participants using the verification method. Based on the research findings, the central category of the model is national resilience in global crises (improving organizational strength, increasing adaptability and ability to face risk). Causal conditions have two categories (personality traits and collective characteristics). The strategies in question are: (offensive, defensive, review and contingency). Background conditions also include: (ancillary skills and hospitalization conditions of the community). Interventional conditions (economic and political) also affect strategies and ultimately lead to consequences (infrastructure-cultural, social and individual).The resilience approach in global crises such as coronary heart disease ensures our ability to adapt to new and emerging events and to reduce the risk of exposure and to recover quickly from the effects of the events. based on the findings of the present study, health managers in the country as well as all members of society can use this model for collective resilience in the face of global crises.

The COVID-19 pandemic had a significant impact on the lives of growing startups. Considering the important role of these businesses in developing countries, the present study aims to provide a model for increasing the resilience of startups in Iran during the COVID-19 pandemic by using the thematic analysis method.

This is a descriptive survey study using qualitative and quantitative methods. In the first stage, by studying the literature, the factors shaping organizational resilience were identified. Then, by conducting unstructured interviews with experts in the field of startups and the university professors, the final factors affecting organizational resilience were summarized, and the initial study model was designed using the thematic analysis method. In the next stage, a researcher-made questionnaire of organizational resilience was designed and distributed among the employees of startups in Guilan Province, who were selected using a convenience sampling method. After collecting the questionnaires, the data from 238 complete questionnaires were analyzed using structural equation modeling in SmartPLS3 software. 

The findings show that according to the intensity of the coefficients of the research model, the characteristics of the organization (0.526), ​​the characteristics of the leader (0.433), the characteristics of the team (0.298) and the characteristics of the employees (0.244), are the most important Factors affecting the resilience of startups. These results help stakeholders and researchers to gain a more appropriate understanding of the resilience of startups.

The results of this study can help stakeholders and researchers in Iran gain a more appropriate understanding of the resilience of startups.

COVID-19, as the most challenging global concern in recent years, forced countries in the world to adopt strategies to manage and deal with its consequences. The experiences of countries in this field can be used to plan for future pandemics. This study aims to identify strategies for managing and coping with the COVID-19 pandemic and find the necessary facilities for their implementation.

This is a systematic review. The data were collected by searching for related studies in Web of Science, Scopus and google scholar and were finally analyzed to identify the strategies and facilities using the MAXQDA software, version 2020.

Three main categories of strategies were extracted including elimination strategies, suppression strategies, and mitigation strategies. There were 29 subcategories including complete lockdown, closure of borders, economic support for businesses, providing correct and timely information, research and development of vaccines, and vaccinations. A strong economy, proper organizational culture and structure, software/hardware infrastructure, and financial flexibility were identified as facilities needed for the implementation of strategies. 

To cope with critical situations such as the COVID-19 pandemic, governments should adopt and implement proper strategies before the occurrence of a crisis to have the best performance and cause less damage to people.

The outbreak of the Covid-19 implies significant changes in the way service organizations work, which affects the performance of human resource. This led to the emergence of new technologies that may reduce the hazards of the Covid-19. Accordingly, the current research was conducted with the aim of analyzing in the impact of work consequences of COVID-19 outbreak on the performance of employees according to the moderating role of information and communication technology. Based on the purpose, the research is of an applied type and in terms of nature and method, it is descriptive-survey. The statistical population of the research includes all the insurance employees of the social security organization branches of Kermanshah province in the number of 254 people, 153 people were selected based on the random sampling method and using the Cochran formula. Data collection tools were standard questionnaires of work consequences of COVID-19 outbreak by Narayanamurthy and Tortorella (2021), Employee performance by Villagrasa and et al (2019) and Information and Communications Technology by Mahmoodi (2013), whose validity was confirmed using the content validity method and their reliability was confirmed through Cronbach's alpha.Structural equation modeling method and SMART-PLS 3 software have been used to test research hypotheses. The research findings indicate that at the error level of 0.05, work consequences of COVID-19 outbreak has a positive and significant effect on human resources performance. In addition, at the error level of 0.05, the moderating role of information and communication technology in the impact of work consequences of COVID-19 outbreak on the performance of employees is positive and significant. Finally, based on the findings of the research and due to the effect of the spread of the Covid-19 on the performance of human resources, practical suggestions have been presented for the use of the studied organization and other organizations.

In recent years, the Covid-19 pandemic was one of the crises affecting human society. The purpose of this research is to provide a management model to deal with the Corona crisis. In terms of the nature of the data, this research is mixed research, and library studies and a researcher-made questionnaire were used to collect the data, and the validity and reliability of the questionnaire were checked and confirmed. The statistical population of this research included all experts in economic, social welfare, law, and governance in unlimited numbers. The statistical sample of this research in the qualitative part included 20 people who were selected by snowball method and in the quantitative part 384 people were determined by systematic random method from the statistical population. In this research, the Delphi method, structural equations, and partial least squares method with the help of Smart-PLS software were used for data analysis. The results of this research show that the economic response, welfare response, and governance response have a positive effect on the management of the Corona crisis. But the reaction of democracy has a negative effect on the management of the Covid-19 crisis.

This research aims to provide a qualitative model based on data-based theory to analyze organizational performance with an emphasis on absenteeism in multi-wave conditions of Corona in government organizations, with the participation of experts, professors and experts of government organizations. In the initial stage, the analysis of the data obtained from the review of the background and literature of the subject, as well as interviews with 11 experts and faculty members knowledgeable in the field of human resources, were conducted. Then, based on the foundation's data approach, a qualitative model of organizational performance analysis was designed with an emphasis on absenteeism in multi-wave conditions of Corona in government organizations. The results showed that the main phenomenon of absenteeism is divided into two categories: avoidance and attitudinal, the causes of absenteeism are divided into two categories of organizational and individual factors, the background conditions of absenteeism are divided into three categories of occupational, organizational and environmental factors, the interveners of absenteeism are, work environment and personal health, balance between work and life, Improving and clarifying organizational processes, job training needs assessment, job pathology and improving employee/manager communication and the consequences of the absenteeism phenomenon including job injuries, client dissatisfaction, job alienation, depression and increasing organization costs and Positive consequences include personal health and work environment, reduction of material costs of the organization, help to the environment, increase of absent personal satisfaction, flexibility of daily work.And the results of this research show that organizational performance decreases with the presence of absenteeism

The purpose of this study was to investigate the unwillingness/willingness of Iranian tourists for internal trips during the Covid-19 crisis.The research method is practical in terms of objective and descriptive-survey in terms of data collection, and qualitative/quantitative mixed method was used to answer the research questions.First, interviews were conducted with 19 experienced tourists in the field of domestic travel, and then 56 extraction codes(27 codes of unwillingness and 29 codes of desire) and concepts and categories were created by analyzing the themes from the texts of the interviews, and finally two The construct of reluctance/inclination to travel to domestic destinations during the Covid-19 crisis has been presented.With the answer of 434 Iranian tourists to the unwillingness questionnaire(229 respondents to the unwillingness questionnaire and 205 to the willingness questionnaire)the index rankings have been carried out with the Topsis technique.The results indicate that 47 %of respondents on domestic trips during this period were reluctant and 53 %were reluctant to travel in Covid-19; In addition, three indicators of helping to cut off the Covid-19 chain, fear of engaging or engaging others and worrying about the health status of the host community, respectively, among the most effective indicators of unwillingness, and in the field of three indicators of family care and relatives in other places, respectively, limitations.Financially due to the critical conditions of the Covid-19 and the existence of numerous and varied attractions of domestic travel tailored to the conditions of Covid-19 are the top three Iranian priorities for domestic trips during this period.

The coronavirus outbreak has highlighted the importance of supply chain integration in reducing disruption impacts and maintaining organizational sustainability. Previous studies showed that supply chain integration can directly improve corporate performance. Meanwhile, supply chain integration could improve performance by increasing the company's resilience in catastrophes like the Corona outbreak. In this way, supply chain resilience mediates the relationship between integration and performance. The purpose of this research was to examine how different aspects of supply chain integration affect an organization's performance and how supply chain resilience is a mediator during an outbreak. Based on a review of the literature, the research conceptual model was designed and tested using survey data collected from food sector enterprises in Tehran province during the coronavirus epidemic. To evaluate the data and test the hypotheses, structural equation modeling was employed. The study's findings indicate that process and product integration are critical in building supply chain resilience. The supply chain's resilience also has significant effects on the relationship between supply chain integrity and firm performance. The study's findings provide useful insights for Food industry supply chain managers on the relevance of integration and resilience in ensuring sustainability and company viability during times of disruption.