جستجوی مقالات مرتبط با کلیدواژه « corona pandemic » در نشریات گروه « مدیریت »

This research aims to uncover the behavioral patterns of Persian-speaking Twitter users centered on the COVID-19 disease. Two hypotheses, namely the difference in the emotional content of tweets published by each generation and the examination of their emotional reactions to specific COVID-19 news, were studied during the first year of the pandemic in Iran. this research focuses on the news published about COVID-19 on Twitter due to the prevalence of the COVID-19 topic among all audiences in different generations and its high percentage of risk at the micro (psychophysical health, etc.) and macro (economy, etc.) levels, with a high influence among the audience. Unlike similar previous crises, this pandemic had a serious distinction, that is, it was the pervasive social networks worldwide, with a 25% growth in Twitter users during the spread of this disease. Therefore, accurate and comprehensive information can be expected to be obtained by studying the opinions of users on social networks from a public perspective around a topic. Since the unknown dimensions of this disease and its transmission require citizens' cooperation with the health policies of governments, the perception of media audiences from COVID-19-related content has been focused on more than ever by the media and health policymakers. Despite extensive research on the analysis of users' emotions in cyberspace, a few studies have analyzed the emotions of different generations in the face of crises. The results indicate different behaviors of generations in dealing with COVID-19 content on Twitter, and this generational distinction can help policymakers plan for these groups according to the emotions expressed in each generation.Uses and Gratifications theory and the theory of reception were used to explain the positions of the audience in the communication process and their perception manner of the message. According to this view, audiences are active elements that are capable of selecting and interpreting published content based on their backgrounds and characteristics. In this research, these effective backgrounds in interpretation are considered generational components.According to the literature review in this field, the categorization of generations in this research is as follows. Generation X (X) comprises those born from the 1920s to the 1960s, whose socialization is related to before the Islamic Revolution, and their main mass media were radio, television, newspapers, and books. Socialization in Generation Y (Y) dates back to the early years of the revolution and war to the early presidency of Mohammad Khatami and the beginning of deep political-cultural changes in Iran. Accordingly, people aged 23-40 years fall into this category, who became especially familiar with the satellite and the first generation of computer communications, in addition to using the media of the previous generation. Blogs, video games, and Web 1 are the most important media features of this generation. Generation Z (Z) refers to a group aged between 11 and 23 years, who are colloquially referred to as digital natives or the network generation. Unlike previous generations, this generation has never seen a world without digital communication technology and interactive virtual social networks. Microblogs are the most important media feature of this generation.

Subsequently, different generations of Persian users of this platform were categorized through data mining techniques. Then, their tweets were collected manually, categorized, and modeled with advanced search tools and keywords. About 500 tweets were collected monthly using the total counting method due to the limited number of accounts with an image for age estimation. The age and gender of the user were estimated using two methods. Initially, age was estimated based on the user’s profile picture using the facenet network. In the second method, age was estimated based on the user’s interest vector using the support vector machine model. There were two parts in the sentiment analysis: feature extraction and classification. The former was performed with the wordtovector model, which was trained using a sample of the Hamshahri newspaper (a rich sample of the Persian language). In the second part, these tweets were classified and an emotion type was attributed to them with the LSTM model using 80% of the data to train the machine and 20% for the test.

In the sample group, three fear, humor, and criticism emotions showed the most manifestations to describe the emotional content of tweets. Ultimately, the behavioral pattern of Generation Z on Twitter was accompanied by the publication of humorous content, while it presented a lower critical aspect. This pattern reverses as it moves toward Generations X and Y whereas the fear aspect had a roughly similar trend and volume in the themes of all users.

Between 20 and 30% of all COVID-19-centered messages produced by the audience contained fearful content. This rate was the same for each age group, and this similarity could be seen in the interpretation of generational convergence. However, this convergence was not seen in the other two emerging emotions, namely the feeling of criticism and humor. Generation Z often had a humorous attitude in dealing with the limitations resulting from COVID-19 and its widespread consequences. It seems that they present completely contradictory perceptions, interpretations, and, consequently, feedback on the COVID-19 phenomenon, which is initially a scary and dangerous subject for human personal and social life, is. This difference can be categorized in the proposition of the generational gap or conflict.

Today, the emergence of the concept of digital transformation means making fundamental changes in the approaches to the production and provision of products and services that have affected the survival and sustainability of businesses; On the other hand, due to the important role of companies as responsible for the society, the sustainability of companies has received much attention from researchers. This research aims to provide a model for business sustainability based on digital skills in the Corona epidemic in a descriptive way. Through in-depth semi-structured interviews, he developed and validated a conceptual framework with the database method. The statistical population includes managers, experts, and experts in active companies in Tabriz Technology Industrial Town, among whom 13 people were selected by purposive sampling and participated in this study. To analyze and analyze the data, the open coding method was used. The findings of the research show that concepts were identified in the form of a central category and 12 main categories and 26 sub-categories and 145 concepts or open codes. Finally, the paradigmatic model of business sustainability based on digital skills in the corona epidemic was presented. Causal conditions include (competitive intelligence, smart value creation, self-awareness), contextual conditions (convergent digital infrastructures, adaptation of financial resources), intervening conditions (cultural traditions, lack of techniques and procedures, security issues of digital technologies), strategies (transparency and accountability, intelligent orientation of processes), outcomes were categorized as including (social responsibility, promotion of long-term economic goals, integration of environmental protection and development).

This article is aimed at designing and validating a model for overcoming the challenges of virtual education in the post-corona era. This cross-sectional study in terms of purpose is exploratory, in terms of audience is basic and in terms of approach is a mixed research. The participants in the qualitative section was made up of 20 Tehran’s  educational managers and experts at the first secondary level. After interviewing 17 persons who have been selected purposefully we reached theoretical saturation. The statistical population in the quantitative section consists of teachers of the first secondary level at Tehran in the academic year of 1400-1401. The sample size was estimated to be 384 teachers, selected via Cochran's formula and cluster-random method. The data collection tools were semi-structured interviews in the qualitative phase 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 t identify the dimensions and components of the research, we used thematic analysis and for finding   the relationships of the elements we used the structural-interpretive modeling method and for validating the research model we applied the partial least squares method. The results of the research showed that the infrastructure of human resources and technology ,and the rules of virtual education provide a context for the culturalization of virtual education. Cultivation of virtual education has led to the digital skills of teachers and the monitoring system of virtual education, and these factors also lead to the participation of students. Students' participation is related to the performance evaluation system of virtual education and the creation of a teaching-learning environment, and at  the end, the development of virtual education can be achieved through the efficiency of the educational system and the repair of students' learning gaps.

Supply chains that are meant to survive must be able to cope with disruptions. The COVID-19 pandemic was one of the most important disruptions that could cause a ripple effect in the supply chain. A ripple effect refers to a disruption that affects other parts of the supply chain like a domino effect, and while the probability of its occurrence is low, its impact is high. This study aims to identify the key success factors for coping with the ripple effect in Iran's machine-made carpet supply chain. In this research, the critical success factors were identified based on in-depth interviews. Then, using the fuzzy cognitive map approach, a model of the critical success factors was created. The statistical population of this research consists of experts in the machine-made carpet industry. The findings showed that there are 23 critical success factors to cope with the ripple effect in the machine-made carpet supply chain. Among them, "supply chain digitization", "capable and efficient managers", and "supply chain collaboration" were identified as the most essential influencing factors, while "supply chain collaboration", "proper planning", and "flexibility in production" were identified as the most important central factors that require special attention. Therefore, policymakers are recommended to focus on enhancing these areas by promoting business intelligence and supply chain management, making universities more mission-oriented, organizing empowerment workshops for managers, and removing supply chain behavioral barriers.

Although today the claim that “we live in the age of rights” is viewed with skepticism and the need to maintain “public order” and prevent acts contrary to it is elevated, there is still a risk of relying on the doctrine of “exceptionalism” to justify “power” Instead of “authority” on the one hand, and its inefficiency in the field of action, especially in the midst of human crises, including the “corona pandemic” and, consequently, the requirements of “crisis management” resulting from it, on the other hand, the importance of justifying the principle is considerable. This research employed a legal-managerial interdisciplinary approach and a library-study method. As well, the qualitative method of descriptive-normative was used. Accordingly, the main question in this article is what role did the doctrine of exceptionalism in the constitution of the Islamic Republic of Iran play in regulating and overcoming the superhuman crises, and in particular the Corona pandemic? The results of the article show that the supremacy of the doctrine of exceptionalism over the rule of law in the Constitution of the Islamic Republic of Iran, contrary to the comparative approach, not only has no effect on managing or reducing the harmful consequences of such crises, but also aggravates competencies. Hence, it is necessary to recognize and revise this issue.

The epidemic of the corona virus (SARS-CoV-2) in the years 2020 until now (2022) has caused the emergence of critical conditions in the global arena and has transformed the international economic, social and environmental equations. The tourism industry, as one of the most important areas affected by this crisis, is experiencing new conditions due to the restrictions and quarantines imposed at the international, national and local levels, which have led to new opportunities, challenges and threats. Currently, due to the continuation of the restrictions caused by the Corona epidemic in Iran, inter-provincial travel has been announced as limited and prohibited, and in this situation, local tourism has become the focus of many people's attention as a cheap, accessible and desirable option. The aim of the current research is to investigate the motivations of local tourism (urban-rural) during the Corona epidemic with a qualitative approach, with the help of the grounded theory method. The studied population were Mashhad tourists who had at least five local tourism trips (urban-rural) in 2018 and 2019. The sample size of the research was conducted using the two criteria of "diversity" and "reaching the theoretical saturation point" with 44 semi-structured interviews. The interviews were fully implemented and then the open, central and selective codes were counted. The findings of this research indicate that the underlying conditions of attracting tourists to local tourist destinations during the Corona pandemic were "meeting relatives and taking care of personal affairs" and "accommodation in ecotourism resorts". Also, the intervening conditions were "nature tourism experiences" and "village tourism experiences", causal conditions, "corona stress and health issues" and "visiting cultural-historical attractions", strategies "physical organization of local tourism spaces", ecological revitalization of the environment" and " Reconstruction of the rural fabric" and the consequences, "diversification of the rural economy", "protection of the village environment", "giving identity to the village body" and "relaxation and mental and physical healing of tourists" have been. Based on this, the paradigm model of the current research was presented and some suggestions were made.

Corona virus outbreak has disrupted the industry and trade cycle. This study purpose is to investigate human resource management challenges during Corona crisis, and to provide a solution in hotel industry. Research method is based on inductive approach theory in qualitative way. The statistical population was hotel industry experts selected as sample. Interview data were analyzed using MAXQDA software. Reliability and validity were assessed using Lincoln and Guba technique. Findings show that the cause conditions of this study at highly damaging nature of Covid-19 pandemic are economic problems, weakness in establishing communication skills and perceptual skills of human resource management. Main phenomenon has emerged in economic, political, social and cultural challenges. Structural factors, financial and credit indicators identified as intervenes. Research result shows that human resource managers can achieve their goals using strategies like training human resources, identifying financing methods, reducing costs and obtaining government support.

Religion is one of the oldest and the most role playing foundation in human societies, especially in Iran, which has gone through various stages throughout history. Religious life contains a special position in the doctrine of the Islamic Republic of Iran, and encompasses one of the main current concerns in the future of religion in the post-Corona world. This study tries to consider the changes occurring in the religious life of Iranian society caused by the Corona pandemic in the world. This is an analytical-descriptive research. The events and changes which have taken place in Iranian society at this era have resulted in new and different alternative in the field of religion. These changes will lead the religious life of the Iranian society through a path directed to  outcomes that are going to happen in the possible scenarios in the future of the religious life in the post-Corona community. The suggestion of changing the religious life paradigm by increasing religious rationality, as well as developing religious rituals will protect the social religious life against the challenges and crises, and we can expect a reasonable and stable religious life in Iranian society.