درخت حوزه‌های تخصصی

The main purpose of this research is to identify and analyze the effective factors of establishing a knowledge-based city in less developed areas. The research method is mixed (qualitative-quantitative). To carry out this research, in addition to studying documents, the ground theory method with MAXQDA12 software was used to identify the effective factors. The statistical population in this research was all experts in the field of public management, urban management, economics, managers of knowledge-based companies, and managers of Sistan and Baluchestan governorate and Zahedan municipality, which was conducted after conducting 17 theoretical saturation interviews. Finally, open, central, and selective codes were extracted and in the quantitative part, Dematal technique was used to determine the effectiveness of the effective dimensions on the establishment of a knowledge-based city. According to the semi-structured interviews, 6 dimensions (cause, main phenomenon, contextual, interveners, strategies, consequences) and 15 components (core codes), and 69 indicators (open code) were extracted for the establishment of the knowledge-based city. The Finding showed that dimensions of development, skill and expertise, education and technology, infrastructure, internationalization, institutional factor, urban knowledge development, knowledge management, foreign policies, laws and regulations, cultural-native, knowledge-based city development, policies, domestic, cultural conflict, and urban geography, in order from high impact to low impact, as well as dimensions of urban geography, cultural conflict, internal policies, knowledge-based city development, cultural-native, laws and regulations, foreign policies, knowledge management, knowledge development urban, institutional factor, internationalization, infrastructural, education and technology, skill and expertise and development are respectively from high effectiveness to low effectiveness.

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.

This study investigates the effects of stock anomalies on excess stock and unexplained returns of multifactorial models in the companies listed at the Tehran Stock Exchange. We selected a sample of 120 companies listed at the Tehran Stock Exchange from 2008 to 2019 using the Fama-Macbeth [18] regression approach. The results revealed that stock anomalies led to considerable differences in excess stock returns of different portfolios, implying that stock returns at different anomaly levels significantly differ. In addition, it was found that the anomalies related to stock characteristics greatly impacted explaining excess stock returns in the three-factor and five-factor models suggested by Fama and French. Besides, in different portfolios of the anomalies, the unexplained return rates were significantly different from each other. Moreover, in Fama and French's three-factor and five-factor models, different anomaly portfolios show significant differences in explaining excess stock returns.

Evaluating the performance of countries in international markets and measuring how they utilize allocated resources provides a lucid picture of the state of business management in countries also assessing performance sustainability in international markets, is one of the important issues in predicting international trade. In international markets knowledge of countries' performance leads to the recognition of their economic and non-economic management statuses even more it is used to allocate financial support of global organization. In the present article, an attempt was made to design a model capable of examining the performance of nations in international markets by both economic and non-economic dimensions in the presence of undesirable factors and two preparation and exploitation stages of existing platforms and also assessing the sustainability of countries' performance in the studied period which is quite innovative. Then, data from 21 countries, from 2010 to 2017 were evaluated to test the model. The results indicated that the model is capable of examining the performance of countries and assess the sustainability of the countries over a period of time. According to the results of this model, an attempt was made to evaluate Iran's performance status among homogeneous countries and provide a roadmap for enhancing Iran's performance

The present study explained the effective components' role in the relationship between investment efficiency and tax avoidance. The study's statistical population is the firms listed on the Tehran Stock Exchange. Using the systematic elimination sampling method, 128 companies were selected as the research sample in the 8 years between 2014 and 2021. Data for measuring the variables were collected from the Codal website and the companies' financial statements; preliminary calculations were made in Excel; then, the research hypotheses were analysed and tested using a multivariate regression model with panel data in Stata and Eviwes software. The results show that tax avoidance has a negative effect on investment efficiency. Also, the comparability and readability of financial statements have an inverse effect on the relationship between tax avoidance and investment efficiency. It can be concluded that the comparability and readability of financial statements weaken the inverse relationship between tax avoidance and investment efficiency. Other findings showed that the company's information environment has a direct and significant effect on the relationship between tax avoidance and investment efficiency, and competitive power does not significantly affect the relationship between tax avoidance and investment efficiency.

The purpose of this study was designing a model of financial flexibility functions for industrial infrastructure development of َAbadan oil refining com In this study,12 financial management specialists at the university level and the company participated as panel members in the quality department. In fact, in the qualitative part, which used Meta-synthesis and Delphi analysis, the aim was to identify the propositions of financial flexibility functions for the development of industrial infrastructure, and then in a small part with the participation of 18 managers and deputies of Abadan Oil Refining Company, Findings: Therefore, relying on meta-synthesis, first 14 studies were reviewed as a basis for evaluation to determine the themes of the statements of financial flexibility functions for the development of industrial infrastructure in the form of critical evaluation, based on which, 24 themes of selected propositions were entered into Delphi analysis in a checklist manner to determine the theoretical adequacy. In this stage, 4 propositions were removed during the two stages of Delphi analysis and a total of 20 propositions entered the quantitative analysis section, ie Total Interpretive Structural Modelling. In this section, the results show the themes of the statements of financial agility in the development of industrial infrastructure (P12); Reduction of financial constraints in providing resources for industrial infrastructure development (P17) and dynamics of evaluation of industrial infrastructure development plans (P18) were selected as the last level of the most effective reasons for financial flexibility for industrial infrastructure development in Abadan Oil Refining Company.

The article is devoted to the modern development of high technologies and computer technology greatly enhanced the development of automated banking systems of banking sector organizations and allowed the synthesis of information and communication technologies for their formation. The main purpose of the article is to select the main indicators for assessing the level of financial security of the banking system of the state and identify promising areas of its development using forecasting models. In the process of research such analytical functions have been used: polynomial, exponential, power and logarithmic. The authors believe that the information and analytical provision of the financial security of the bank is an information provision that combines, on the one hand, information work, that is, ways, means and methods of collecting the necessary information, and on the other - analytical work, which includes forms and methods of information analysis and processing, which ensures an objective assessment of the situation and the adoption of a balanced management decision. As a result, forecast models were built for each of the indicators and also, it has been found that most indicators of the banking system of Ukraine in 2021-2023 will remain at “unsatisfactory” and “critical” levels. In conclusions it was proposed to introduce measures that would be aimed at improving the reliability and stability of the banking system of Ukraine.

The Covid-19 outbreak has had a severe effect on the world economy. The company's business operations and profitability are damaged during the covid 19 outbreak. This deterioration is not only threatening the company’s survival position but also destroy the investor’s investment return. Therefore, it is vital to establish an effective early prediction technical method to foresee a corporate distress by a Pro-technical measurement to enhance the corporate sustainability. This study applies Altman Z-Score Model to as a Pro-Technology technique to the financial distress prediction of Malaysia’s Government Linked Plantation Companies (GLC-P) over a period of 10 years starting from 2012 to 2021. The significant contribution of the study is that the Z-Score Model provides an advanced indication tool regarding the financial stability of the respective GLC-P companies. The findings indicate that Financial Distress Prediction was dependent via in-time application of leverage, liquidity, activity, and profitability to the Altman Z-Score Model. Profitability and leverage were found to be superior prediction tool to financial distress.

Hospitals are the most important part of the healthcare system. Statistics show that a significant portion of health budgets are allocated to hospitals. The continuous impact of information technology on hospitals’ performance has led to perfect competition. Accordingly, this study aimed to evaluate the quality indicators of hospital services considering information technology using a hybrid approach of the Kano model, Analytical Hierarchy Process (AHP), and Quality Function Deployment (QFD). In this regard, based on related studies, a total of 18 needs were recognized to evaluate the service quality of a hospital. The statistical population of the study consisted of patients of the hospital and due to the difficulty of access to the patient, a limited sample of 50 patients was selected. After collecting data, the identified needs were classified into three categories called basic, functional, and motivational using the Kano model, and 7 needs were set as basic needs. Then, using the AHP technique, the importance of the basic needs was calculated and considered as the input of the QFD model in the next phase. After providing some solutions based on the literature to meet these 7 needs, solutions were ranked and prioritized using the QFD model. Since the organization had limited resources, the Pareto technique was used to respond to 20% of these strategies and achieve 80% satisfaction. The results of the study showed that the hospitals can achieve 80% satisfaction by implementing the strategies of “holding ethics training courses online” and “creating team spirit and using health information technology in the hospital”, respectively.

This study aimed to create an experience-based tourism model for creative cultural  attractions. This research is mixed in terms of methodology. In the qualitative part, the  qualitative content analysis method was used. The statistical population for this part was  experts who were selected by the snowball sampling method. The structural equation  method was used in the quantitative part. The second statistical population included  visitors to Tehran's creative cultural attractions; 384 samples were selected by random  sampling. The model was designed based on the research results. The desired model  consists of three parts before the visit, during the visit, and after the visit. Before the  visit, the individual characteristics, image, motivation, and visitors’ expectations directly  impacted the creative experience. During the visit, the creative experience directly  impacted the experiencescape and the memorable experience process, and the  experiencescape affected visitors’ memorable experience process directly. After the  visit, the visitor's memorable experiences directly influenced satisfaction and lasting  memories. This study's findings lead to creating creative experiences for visitors and  developing creative cultural attractions. The tourism industry policymakers can rank  creative cultural attractions by setting up a registration system for them, awarding  creative certificates to prominent attractions, and providing them with the basis of  progress

Most existing research on pilgrims and religious tourists has focused on their motivation, with limited attention to their actual experiences. This knowledge gap is particularly apparent in the Islamic context, where understanding the experiences of pilgrims and religious tourists is crucial for predicting their future behaviors. This paper aims to identify the key dimensions of pilgrims' and religious tourists' experiences during the Arba'een pilgrimage. To achieve this objective, a thorough review of the relevant literature was conducted, and appropriate questions were developed and refined through consultation with experts in the field. The target population for this study consisted of Iranian pilgrims who participated in the Arba'een pilgrimage. The researchers utilized a convenience sampling method to collect 229 completed questionnaires, which were then analyzed using exploratory factor analysis in SPSS software. Through this analysis, the researchers identified six key dimensions that contributed to the experience of Arba'een pilgrims: spiritual and emotional, cognitive, interactive, pleasant, physical-bodily, and learning. This research suggests that while the primary motivation for pilgrims is a spiritual experience, other types of experiences can also enhance their overall pilgrimage experience. These findings have practical implications for destination managers, as they can use them to design various experiences that cater to the needs and preferences of different types of pilgrims.