درخت حوزه‌های تخصصی

The current article examines the trends and performance of research on the types of effects of the COVID-19 epidemic and the different management strategies of perishable goods supply chain disruptions during 2 years (2020-2022) using bibliometric and network analysis based on the data set from the Scopus database using VOSviewer software. The analysis designates that Kumar A. has been the most influential author in perishable goods supply chain research during the COVID-19 pandemic, and India has contributed the most in this field. The most repeated keywords were resilience, food supply, and perishable food supply chain. Citation analysis indicated that resilience and sustainability are the mainstream of research in articles with high citations. The network analysis also disclosed that resilience and sustainability are the key themes in the clusters. Furthermore, strategies for managing disruption during the COVID-19 pandemic were extracted from the highly-cited articles, which are presented in this article.

Many studies have been conducted in the field of bankruptcy prediction; But in most of them only financial ratios are used. However, in Iran, many non-financial factors affect bankruptcy. The main purpose of this study is to develop a mathematical model in which financial and non-financial indicators such as management and economics factors are used to predict bankruptcy. In this study, 44 variables that had the greatest impact on bankruptcy forecast were selected and with confirmatory factor analysis, a questionnaire was developed and sent to experts in the fields of management, accounting and economics to rank the impact of these variables. The statistical sample of the study includes 200 bankrupt and non-bankrupt companies listed in the period 2009-2018. After collecting the questionnaires using the OLS regression estimation method, the variables that had a factor load of less than 0.5 were eliminated and in the final model 9 main variables. The research model identified 95% of bankrupt companies and 93% of non-bankrupt companies with 95.4% confidence. Then, for verification, two hypotheses were developed and the model of this research was compared with two existing models. The ability to distinguish bankrupt companies from non-bankrupt ones by our proposed model was 6% more accurate than the Pourheidari et al. model, and 9.4% more accurate than Altman’s model.

today the speed of changes in dispensation have involved all businesses. these changes include product/service, customer services, and consumer behavior. so the present research has examined the effects of job crafting with mediation health services on patient satisfaction. statistical population of the present research consists of two groups: the first group is the recipient of health services of Persian Gulf Martyrs Hospital and the second group of doctors, nurses, services staff, and employees of Persian Gulf Martyrs Hospital that provide medical and health services. to assess the variables of the study, a questionnaire was used. The statistical population of the second group passed 1000 people and 304 of them answered the questionnaire.the research method according to the nature of the research is descriptive-survey research. Cronbach's alpha coefficient was used to evaluate the reliability of the questionnaire questions that evaluate were obtained 888/0 for the job crafting questionnaire and content validity was used to measure the validity of the research data collection tool. the Questionnaire was the tool for collecting data in this research and Smart PLS software was used to test hypotheses.results of structural equations showed that the job crafting variable has positive and significant effects on patient satisfaction and health quality, and the health quality variable has positive and significant on patient satisfaction. Health quality variable plays a positive mediating role in the relationship between job crafting and patient satisfaction.