درخت حوزه‌های تخصصی

The purpose of this article, extracted from the thesis, was to present the model of organizational culture based on normative and individual variables in the managers of the education staff of Tehran province. In terms of field position, and in terms of nature, it is among the foundation data research. The statistical community of the qualitative part included management experts using the principle of saturation and targeted non-random sampling method, and in the quantitative part, it also included the director general, deputies, and heads of departments of the general administration. and managers and vice presidents of education districts of Tehran province were selected as the sample size. Presentation of the organizational culture model based on normative and individual variables is considered a central category in the paradigm model of the research and other concepts in the form of categories of causal, contextual, and intervening conditions. Strategies and outcomes were included in the model and 10 categories with 57 indicators were introduced in the normative dimension and 10 categories were introduced in the individual dimension with 61 indicators. The evaluation findings based on Shannon's entropy method show; maliciousness and suspicion towards each other Self-esteem, sense of ownership over the organization, enjoyment of work, self-motivation, improvement of job skills and knowledge, personal development, and attention to positive points and job achievements, innovative decisions, and accountability are of the highest importance in realizing organizational culture.

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.

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.

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.

Purpose: Perhaps one of the most critical economic discussions worldwide is the debate on competitiveness and the improvement of the status of various industries for survival and growth in the turbulent arena of global markets. On the one hand, the importance of investment for economic and social growth and development is so significant that it has become one of the powerful levers for achieving development. However, it should be remembered that as much as attention to this matter can lead to economic growth and prosperity, neglecting it can result in economic decline. Therefore, long-term economic growth and increased public welfare are not possible without considering investment and the important influencing factors in its environment. This research examines the relationship between product market competition and the investment of companies listed on the stock exchange.Design/method/methodology: The statistical sample of the study includes 82 companies during the period from 2018 to 2022. Panel regression analysis is employed to analyze the data and test hypotheses. Findings: The research findings indicate a significant relationship between product market competition and investment, as well as a significant moderating role of company sales growth in the above relationship.

The widespread use of E-commerce websites has drastically increased the need for automatic recommendation systems with machine learning. In recent years, many ML-based recommenders and analysers have been built; however, their scope is limited to using a single filtering technique and processing with clustering-based predictions. This paper aims to provide a systematic year-wise survey and evolution of these existing recommenders and analysers in specific deep learning-based hybrid filtering categories using movie datasets. They are compared to others based on their problem analysis, learning factors, data sets, performance, and limitations. Most contributions are found with collaborative filtering using user or item similarity and deep learning for the IMDB datasets. In this direction, this paper introduces a new and efficient Hybrid Filtering based Recommendation System using Deep Learning (HFRS-DL), which includes multiple layers and stages to provide a better solution for generating recommendations.