تاب آوری

After the victory of the Islamic Revolution, the enemies of the Islamic Republic put various sanctions on their agenda so that they could break the resistance of the people and leaders of Islamic Iran and make them align with their plans. In this situation, the existence of resilient managers and people who can resist these sanctions and even turn threats into opportunities is considered one of the most important pillars of the efficient administration of the country.Based on this, the aim of this research is to identify the characteristics of a resilient manager by examining the model of Shahid Hassan Tehrani Moghadam. The present research was conducted with the qualitative content analysis method. The research data was collected from a total of more than 50 interviews that were compiled in the form of documents and books about them, and then coded. The analysis of the extracted codes presented the characteristics of the resilient manager in the form of a model with 4 main components and 25 dimensions. The research results were organized in the form of four main components of building resilience, namely personal values, life skills, leadership skills and sources of social support.

Resilience means the ability to recover and recover quickly. In urban studies, resilience is discussed in order to reduce urban damages. The subject of study in this research is one of the metropolitan areas of Tehran. The research is related to the pre-crisis stage and is aimed at reducing the risk of crisis. More precisely, the aim of this study is to study the relationship between the resilience of urban communities and the state of vulnerability to floods, earthquakes and other disasters and to know the social, economic, management-institutional and physical aspects of the infrastructure. Also, a better understanding of the relationship between the resilience of urban communities in order to reduce the effects of floods, earthquakes and other disasters, also considering the strengthening of resilience and its role in reducing the effects of natural disasters in the 2nd district of Tehran, on the role of education and promotion of awareness and information, the development of knowledge , public commitments and institutional frameworks, local, native skills, etc. are emphasized as policies to increase and strengthen resilience.

The present study aims to identify and rank the antecedents and consequences of career path resilience among employees in the banking industry. 

This research is applied in terms of its objective and classified as a mixed-method study within the deductive-inductive paradigm. The qualitative population comprises university professors and experts in public management and human resource management. For this segment, purposive sampling was employed, resulting in 21 participants. The quantitative population includes senior, middle, and human resource managers, as well as branch managers of Tejarat Bank, with a sample size of 47 determined using non-probability convenience sampling. 

In the qualitative phase, data obtained from interviews were analyzed using MaxQda 2020 software and coding methods. The quantitative phase and final analysis employed the fuzzy Delphi method. Based on the exploratory interviews, 28 factors were identified as antecedents and consequences of career path resilience, which were subsequently ranked through quantitative research. 

The results indicate that environmental awareness, coping strategies, and career path evaluation are the most critical antecedents of career path resilience. Among the consequences, psychological well-being, promotability, and enhanced problem-solving capacity are the most significant outcomes of career path resilience

In recent years, the emphasis on community-oriented capacities as one of the important approaches to the resilience of societies in crisis conditions has attracted the attention of many experts and researchers. Therefore, the present research was conducted with the aim of identifying factors affecting resilience based on community-oriented capacities in crisis conditions and providing a model in this field using the meta-synthesis method.

The aim of this research is to investigate the relationship between cognitive dissonance, scientific reasoning, and systemic thinking with the academic progress of Babol University physics students; with the mediating role of critical thinking. The current research is applicable in terms of purpose, and descriptive-correlative in terms of nature. The statistical population of the research includes 249 physics students; due to the limited statistical population, the statistical sample was considered equal to the statistical population, therefore, the census method was used and all the physics students of Babol University have been considered as the statistical sample of this research. As many as 249 questionnaires were distributed among students and consequently 230 questionnaires were returned. Four standard questionnaires of cognitive coordination (Harmon Jones et al., 2007), systemic thinking (Dolansky et al., 2020), scientific reasoning (Golombic et al., 2022), and critical thinking (Watson and Glaser, 2002) were used to collect research data; and, students' GPA was used in order to measure academic progress. The validity of the questionnaire was confirmed by experts in educational sciences and confirmatory factor analysis, and the reliability of the instrument was confirmed using Cronbach's alpha coefficient in a preliminary study. SPSS and Lisrel statistical software were used for data analysis. The results showed that there is a negative and significant relationship directly between cognitive dissonance and academic progress, with the mediating role of critical thinking. It was also found that there is a positive and significant relationship directly between systemic thinking and scientific reasoning with academic progress, with the mediating role of critical thinking.

The intertwined supply chain refers to a network of interconnected supply chains that, through long-term collaboration, can deliver products and services to multiple customers, even in the face of various disruptions. In the case of the tiles and ceramics industry, it is essential to enhance resilience and integration across all chains to address issues such as capacity limitations at centers, which are often due to the unavailability of raw materials and production machinery caused by sanctions. These challenges have led to inadequate production management and increased costs. The aim of this research is to design a resilient three-level intertwined supply network capable of withstanding disruptions and uncertainty while simultaneously increasing profit and enhancing resilience.

This research employs a capacity development strategy and supplier separation to address disruptions at centers and uses fuzzy chance-constrained programming to tackle demand uncertainty. The model of this research is a multi-product, multi-period, mixed-integer linear programming model. To solve the bi-objective optimization (profit and risk), the augmented epsilon constraint method was used, resulting in a Pareto solution set. To validate the model, real data related to the intertwined supply network of tiles and ceramics (interconnected supply chains of tiles and ceramics, glaze, and alumina balls) were used, and the model was solved using GAMS software.

Based on the model output and the results of the decision variables, profit increased by three percent in the deterministic case compared to the uncertain case, while risk decreased by seven percent. The numerical results of the sensitivity analysis show that changing the epsilon parameter from zero to five-hundredths and from five-hundredths to one-tenth leads to a two to seven percent increase in profit. Additionally, the optimal capacity increase in the alumina ball production center is twenty percent, in the tile production center is ten percent, and in the glaze production center is thirty percent.

In the current global context, where the evolution of supply chains is moving towards intertwined supply networks, there are very few studies conducted on these networks. Given the nature of the intertwined supply network, the presented general model facilitates the transfer of raw materials or products through both intra-chain relationships (such as between suppliers and producers, and between producers and customers) and inter-chain relationships (such as between suppliers of one chain and those of another, between producers of one chain and those of another, between customers (production centers) of one chain and customers (final) of another, and the reverse relationship from producers of one chain to suppliers of another). The model simultaneously considers strategic decisions, including the selection of centers that require capacity increases, while optimizing operational decisions (such as production levels, inventory levels, and transportation levels) accordingly.

This research aims to explain a model for evaluating factors affecting supply chain strategies in small and medium dairy companies in Khorasan province. The current research is a qualitative-quantitative study using the thematic analysis method to explain the mentioned model. The data collection method in the qualitative phase was a semi-structured interview. The study population of the qualitative research included the employees and elites of small and medium-sized production companies active in the dairy industry located in North, Razavi, and South Khorasan provinces, who had theoretical and practical knowledge in the field of the subject under study and sufficient knowledge and mastery over the phenomenon under investigation. The studied sample also consisted of people with at least 10 years of work experience and a complete understanding of the practical concepts of the supply chain. The participants were selected through the purposive sampling method. Since data saturation determines the sample size in the qualitative section, more samples were interviewed until the data was sufficient. Then, quantitative analysis was done to validate the obtained model, including exploratory and confirmatory analysis. A small part of the statistical population, including all dairy industry workers, was considered, and a list of all managers and activists of this industry was prepared. Sampling was done in a simple random way among the names. Data collection was carried out using a researcher-made questionnaire. Quantitative data analysis was also done using structural equation modeling. Based on the results obtained, seven effective factors in the supply chain strategy were identified: task factors, environmental green factors, economic factors, resilience, and its dimensions, including marketing mix, customer orientation, and organizational structure were identified. The results of the quantitative part, with the confirmation of the qualitative findings, indicate the significant impact of all factors on the supply chain strategy. The results show that the extracted factors of the supply chain were less observed in other studies and are appropriate for the Iranian landscape. The innovation of this research can be examined from many other aspects. For example, the resilience raised in connection with Iranian society is different from that in other countries. The style of dealing with this issue differs in Iran and other countries.

The aim of the current study, which is an applied research in terms of purpose and a descriptive-survey in terms of method, is to provide a model of employee resilience in the National Company of Southern Oil-Bearing Regions located in Ahvaz. In this research, first, through reviewing the related literature on employee resilience, the dimensions of employee resilience were identified using the meta-synthesis method. In the next stage, targeted interviews were conducted with experts. Based on the opinions of the experts, seven dimensions were extracted for the resilience of employees in the research society. Finally, the conceptual model of the research was designed. Additionally, a researcher-made questionnaire was designed to evaluate the desired model. Cronbach's alpha coefficient was used to check the reliability of the questionnaire and its content validity was confirmed by the relevant experts. The statistical population of the research was 10,000 employees, and based on the simple random sampling method, the sample size was determined to be 373 people. The data analysis was done using SPSS22 and SmartPLS3 software. Measurement, structural and general models were reported to be positive and significant by using the fit indices of models and hypotheses using path analysis.

The destructive consequences of the recent crises caused by the lack of understanding of organizational dynamics on the country's economy and politics show the low resilience of national economic policies in the face of internal and external shocks. Therefore, organizational governance due to low understanding of planning in the country is struggling with political, economic-social and cultural challenges and crises. The current research is a type of mixed research, in which to identify the dimensions and components of the model, thematic analysis and the structure identification part, and the validation and current state of the relationship in all kinds of government organizations, are used from a survey, and the fuzzy inference system is used to measure the organizations. The obtained results are related to 4 dimensions of organizational resilience, including facilitators; principles of resilience; The capacity and infrastructure were exhausted. After the validation, two items were removed and the measurements were entered in the inference system model. The findings were implemented for the implementation of programs and policies in the Ministry of Interior and the level of resilience of the Ministry of Interior, which is itself one of the guardians of resilience, was identified as moderate.

Work safety and organizational cynicism can affect career ‎resilience. The current study aims to predict the career resilience of firefighters based on the work safety climate and organizational cynicism.

This is a correlational study ‎using the structural equation modeling (SEM) approach. Participants were 300 people selected randomly from the personnel of 16 fire stations in Tehran and from among firefighters working in the Tehran Fire Department. We used three questionnaires, including the organizational cynicism scale, the Nordic safety climate questionnaire, and Morgan Lyon’s career resilience scale. Data were analyzed using SEM and regression analysis in AMOS software, version 24.

The findings indicated a significant correlation between work safety climate, career resilience, and ‎organizational cynicism. The value of the maximum likelihood estimation statistic for the resulting SEM ‎model was 4673.97 (P<0.05), confirming the SEM model’s suitability. The results of analysis of variance showed that the work safety climate among firefighters was significantly different based on age, education level, and work experience.

The work safety climate among the firefighters in Tehran is not favorable . The lack of attention to firefighters’ perceptions of safety issues and the lack of attention to their livelihood and job promotion can create organizational cynicism among the personnel. There is a significant positive correlation between work safety climate and career resilience among firefighters. Thus, with the improvement of work safety conditions, the resilience of firefighters can be increased. Organizational cynicism has a negative relationship with the career resilience of firefighters.

Some people are exposed to injury due to specific occupational and organizational reasons. The aim of the present study was to investigate the effectiveness of resilience training on the psychological capital and psychological flexibility of special unit employees.

The research design is semi-experimental and pre-test and post-test design with a control group. The statistical population of this research was all the rank-and-file employees working in the special unit in 1401. The statistical sample of the research consisted of 30 men who were selected using a multi-stage sampling method and were randomly assigned to two intervention and control groups (15 people for each group). The experimental group was exposed to resiliency training and no training was provided to the control group. To collect data, the standard psychological capital questionnaires of Mag Kay et al. Data analysis was done using the statistical method of univariate analysis of covariance.

The test results showed that there is a significant difference between psychological flexibility and psychological capital between the two groups, and resilience training has a significant effect on increasing psychological capital and psychological flexibility.

The results of the research showed that in order to promote psychological flexibility and psychological capital and reduce psychological problems of special unit employees, arrangements should be made to increase resilience in the form of training courses and psychological services.

This article was done with the aim of presenting a pattern of analysis of disruptions and resilience of the food supply chain. This study is a cross-sectional survey in terms of its practical-developmental purpose and in terms of the method and time frame of data collection. In order to achieve the goal of the research, an exploratory mixed research design was used. The community of participants of the qualitative section includes the managers of Amad and IRGC support, 17 of whom were selected in a purposeful manner until theoretical saturation was achieved. In the quantitative part, the point of view of 148 managers and experts of food prepared and supported by the IRGC was used. Quantitative sampling was done by cluster-random method. The data collection tools were semi-structured interviews and researcher-made questionnaires, which were validated by construct validity, convergent validity and divergent validity methods. Using Cronbach's alpha and composite reliability, the reliability of the questionnaire was also evaluated. In order to identify the dimensions and components of food supply chain disruptions and resilience analysis, qualitative thematic analysis method, structural-interpretive modeling method was used to determine the relationships of elements, and partial least squares method was used to validate the resilient supply chain model. The findings showed that human resource management, natural disturbance, awareness and economic disturbance affect security and operational disturbance. Security and operational disruption affect robustness, transparency and dummy disruption, and in the same way affect redundancy and cooperation. Redundancy and cooperation also affect agility and flexibility,

The purpose of this research is to provide a model of factors affecting the resilience of entrepreneurial behavior in Alborz Technical and Vocational University. According to its purpose, the research method is applicable, and in terms of implementation, it is qualitative, of thematic analysis type. The statistical population of the research includes 12 participants who are experts and professors of entrepreneurship. Sampling was done in a purposeful and snowball way. A semi-structured interview was used to collect information and the interviews continued until reaching theoretical saturation. For analysis, open and axial and selective coding through MAXQDA software was used. The results of the research showed that the central phenomenon of the resilience of entrepreneurial behavior in the university has four dimensions: environmental drivers, development factors, environmental barriers, and limiting factors. Financial and legal strategy, operational strategy, international strategy, and policy making strategy is needed to increase the resilience of entrepreneurial behavior in the university, which leads to economic, scientific and cultural consequences at the level of the country. Financial and economic fields, appropriate support and policies in a changing environment, and an intense competitive environment help the resilience strategies of entrepreneurial behavior in the university to be operationalized under suitable situation. In this field, there are scientific, human, managerial, legal, structural, and financial obstacles that, by identifying and solving them, the improvement of the resilience dimensions of entrepreneurial behavior in the university and basic strategies can be maintained.

The occurrence of events that lead to interruptions in the flow of materials, even if these events happen in a distant place, can cause disruptions on a large scale. Disruptions are sudden and unexpected disturbances caused by various factors such as natural disasters, fires, loss of vital supplies, war, cyber-attacks, economic recession, sanctions and economic shocks, terrorism, epidemics, etc. Humanitarian supply chain is a special type of supply chain with unique features, which in these conditions plays a very important role in facing, controlling and reducing the effects of disasters. Therefore, the aim of this research is to present a humanitarian supply chain resilience model in dealing with epidemic diseases such the Coronavirus.

The research method is qualitative. Based on this, using the theory derived from the data, the humanitarian supply chain resilience model was formed in organizations providing humanitarian services. The result resulted in deriving the humanitarian supply chain model in dealing with epidemic diseases.

Based on the results of the research, it was determined that the mentioned model has 28 sub-categories in the form of 6 main categories is (causal conditions of resilience, attention to the resilience of the humanitarian supply chain, background conditions of resilience, intervening elements of resilience, strategies of resilience and consequences of resilience).

With the passage of four generations of theoretical and experimental development of the smart city, it was expected that by relying on technologies such as the Internet of Things, artificial intelligence, cloud computing, and the like, this theory would be the way to face the problem and solve the complexities of resilience planning. But countless recent researches show the opposite. The root of the problem is not in the application of technology, but in the theoretical integration of smart city management and urban resilience. In the meantime, the resilience approach is a new point of view that instead of focusing on reducing vulnerability and looking at confrontation, it emphasizes increasing the resilience and flexibility of cities against natural and human hazards. The purpose of this research is to evaluate the feasibility of smart urban management to improve the resilience of Urmia city. To achieve this goal, a descriptive-analytical research method was used based on the analysis of a questionnaire that was completed by 30 urban experts and specialists. The results of the statistical analysis show that Urmia city is relatively favorable in terms of social and infrastructural resilience, but it does not have a favorable situation in terms of institutional-management, economic and physical-environmental resilience. In general, the overall resilience of Urmia city is lower than the optimal level according to the experts, so that the calculated value of the overall resilience of Urmia city is 2.90, which is less than the average level (3).

Human resources resilience refers to employees' ability to sustain their performance under unfavorable working conditions. Prolonged exposure to such conditions often results in job burnout and employee turnover, making resilience a critical focus for researchers. This study aims to develop a model for human resources resilience based on an organizational culture approach within the Tax Administration. Data analysis employed content analysis for the qualitative phase and structural equation modeling (SEM) for the quantitative phase. The qualitative phase's statistical population consisted of 16 experts and human resource managers from the Iran Tax Affairs Organization. Data collection involved semi-structured interviews for the qualitative phase and researcher-designed questionnaires for the quantitative phase. The validity (content and construct) and reliability of the questionnaire were assessed and confirmed using Cronbach's alpha. The human resources resilience model was derived from seven overarching themes and 20 organizing themes, including: organizational citizenship culture, emotional culture, knowledge-centric culture, culture of job engagement, spirituality culture, human resources excellence culture, and supportive culture. Effective implementation of the identified measures enhances human resources resilience and prevents the loss of competent and efficient personnel.

This research is exploratory-descriptive from the objective aspect; In terms of the audience, it is basic and in terms of time, it is cross-sectional and is based on a mixed approach. In the qualitative part, an in-depth interview tool with experts was used, and in the quantitative part, a research complete and analyze the criteria using the Delphi method, 13 people were studied and in order to check the cause and effect relationships between the criteria, 12 experts were studied according to their expertise and qualifications. According to the findings of this research, strategy factors, economic resources, human resources, management characteristics, research and development are among the most prominent and strongest main factors affecting the resilience of small and medium businesses. These independent factors are among the highly influential ones. Also, the factors of embargo, political stability, macroeconomic stability, intellectual property rights, political connections, exchange rate fluctuations, and financial inclusion were among the factors of the cause and effect group of the research. These factors are among the factors that have strong relationships but are not prominent. And it is less important for the resilience of small and medium businesses. Also, the factors of adaptation capacity, globalization, innovation, personality, brand and reputation, cooperation, location and diversity, financial technology, entrepreneurship, social capital and information technology are among the prominent factors that have weak connections. These factors cannot affect other factors, but they are one of the most important and fundamental factors of business resilience

This research aims to design a model for the integration of physical, informational, and financial processes in the supply chain to achieve resilience in the automotive industry. 

The approach used in this research is modeling, initially utilizing Fuzzy DEMATEL to identify influencing and influenced factors. Since DEMATEL typically does not describe the nature and levels of interactions, the study further employs an Interpretive Structural Modeling (ISM) approach using MICMAC software to understand causal relationships and categorize influential factors into five levels. Data collection was based on a questionnaire and the Delphi method. A questionnaire grounded in a hybrid Fuzzy DEMATEL-ISM approach was designed and distributed to 20 supply chain management experts in the industry. After reaching a consensus, these factors were analyzed with the chosen approaches and classified into five levels, categorized into four types: autonomous, independent, dependent, and linkage.  

The findings indicate that eight categories of factors (including integration of measurement, resource management, communication integration, organizational; socio-economic sub-component; human and technical sub-component; managerial components, customers, planning, information and product quality; financial, process, and environmental components; technology planning integration and flexibility) have the highest impact on achieving resilience in the automotive industry supply chain. 

The most influential factor in the resilient supply chain of the automotive industry is the integration of measurement, which is connected with all other sub-components. In fact, resilience measurement impacts the resource management sub-component and the managerial sub-component.

The purpose of this research is analyzing the supply shain risk management based on resilience capabilities with TISM approach in Iran's National Oil Products Distribution Company and the gasoline supply chain.
Variables were identified through a multi-grounded theory.Then, the relationships between the dimensions of the structural model was determined through TISM.
The results showed that, inherent risks, socio-political risks and environmental risks are at the top of the model and have a greater impact on other risks. The occurrence of supply, demand and processes - operational risks lead to the emergence of organizational risks. A high level of risk in the organization causes disruptions in the supply chain.Therefore, in order to respond to risks and control them, resilience capabilities have been provided. The dimensions of resilience are affected by risks and react to control them. This issue can help the supply chain achieve its goals.