درخت حوزه‌های تخصصی

The issue of proper career path development is important for employees in many organizations such as the education department according to the knowledge management model, so this study aims to design a career development model for female teachers based on the knowledge management model in the General Directorate of Education. Mazandaran province was done. The statistical population studied in this study consisted of all employees of the General Department of Education in Mazandaran province. Statistical sample size 269 people were selected through random sampling method through Krejcie Morgan table. In this study, Shine's career development and knowledge management questionnaire were used. The reliability of these two questionnaires using Cronbach's alpha was 0.75 and 0.78, respectively. For statistical analysis, SPSS software version 20 and pls3 were used and the alpha level was considered 05p 05 0.05. The results showed that the value of t in all paths between the research factors was equal to and greater than 2.58. As a result, there is a significant relationship between the main factors and their sub-factors in the conceptual-analytical model of the research and also the results showed that the fit of the general research model is appropriate and strong. In general, it can be said that between the first step of the career path with the second step of the career path, between the second step of the career path with the third step of the career path, and between the third step of the career path with the fourth step of the career path of teachers Employees of the General Department of Education of Mazandaran Province, in the conceptual-analytical model of career development path, there is a direct and significant relationship.

This article aims to provide a model to explain the role of green human resource management in the resilience economy of small and medium-sized companies. The method of this research is a developmental-applied type of mixed research (qualitative-quantitative), which was used in the qualitative part of the Foundation (emerging) data method to identify components and indicators, and in the quantitative part, the descriptive-survey method was used. The statistical population in the qualitative part included experts (university faculty members) in the fields of human resource management, environment, and economics, after 28 interviews, the research reached theoretical saturation, and in a small part of the Cochran formula, there were 229 employees of the company. Industrial companies of Eshtehard town were selected. In the qualitative section, 13 codes were identified in process factors, 14 codes in prefixes, and 10 codes in suffixes. For the resistance economy, a researcher-made questionnaire with 31 indicators was used. The validity of the questionnaire was confirmed by the CVR method. Cronbach's alpha of the green human resources management questionnaire was equal to 0.761 and the resistance economy questionnaire was equal to 0.870. Two types of internal and external validity were used to validate the model. The results of the analysis of factor loadings of research components showed that there is a positive and significant linear relationship between each dimension of green human resource management. The results of the research model, it showed that among the identified factors, the antecedent dimension with a coefficient of 0.819, process factors with a coefficient of 0.797 and suffixes with a coefficient of 0.713, and finally, the coefficient of the impact of green human resources management on the resistance economy was obtained as 0.914, which shows the impact of 91 A percentage of aspects of green human resource management had resistance on the economy.

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.

FinTech is the solution that strengthens the way of financial communication and if we apply this technology, it will provide us with new methods of performing smarter, more agile and wider financial services. The purpose of this study is to investigate and analyze the factors affecting the implementation of FinTech in Iran's banking industry using structural equation modeling to provide comprehensive solutions of removing barriers and development of this industry in the Iranian banking industry by fully understanding the current situation. The present article is of descriptive-analytical type and data collection has been done through library studies and questionnaires. The statistical sample of the study was 12147 personnel working in Iran's banks in 1400. Due to the size of the population, Cochran’s method and random sampling method were used to determine the sample size. To analyze and classify the extracted data, a questionnaire and a test of the main hypothesis and sub-hypotheses and structural equation modeling were used using smart PLS statistical software. The obtained results confirm the main hypothesis and the sub-hypotheses of the research. The results indicated that in the banking sector, there is a need for legalization and harmonization with upstream laws, as well as the need for infrastructure and tools that are very important in adopting strategies to implement FinTech in Iran's banking industry, in order to make transparency, reduce costs, provide high-speed services, and move towards a smart economy.

Due to overlap between stock markets and financial markets, this study was an attempt to examine the herding behavior in the Iranian stock market and the crude oil, foreign exchange and gold markets. For this purpose, in this research, monthly data between 2011 and 2020 for Tehran Stock Foreign exchange were used. The results of the study based on two criteria explaining herding behavior indicate the existence of herding behavior of the stock market and crude oil, gold and foreign exchange markets. The results also show that it has had different ef-fects on herding behavior in different periods. This issue has also been different in increasing and decreasing market periods. Therefore, gold is introduced as an important asset that influences herding behavior. Also, during the decreasing period of the stock market, herding behavior is not affected by the exchange and crude oil market, and in this period, the behavior of investors and investment risks in the stock market can be predicted without considering the exchange and crude oil market.