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.

In the field of corporate tax behavior, corporate governance mechanisms are effective for shaping and monitoring the behavior of managers. The board, which is responsible for allocating resources, improving performance and increasing shareholder wealth, plays a central role in choosing a tax management strategy. Hence, companies with different governance structures may adopt different types of tax management. Therefore, it can be argued that corporate governance mechanisms can affect corporate tax activities. In order to achieve the weight of the identified criteria, the network analysis process method was used. The purpose of this method was to structure the decision-making process, according to a scenario affected by multiple independent factors. In this method, there can be a relationship between all levels, while in the method of hierarchical analysis process, this relationship could only be from high levels to low levels. The method of the network analysis process, such as the hierarchical analysis process, calculates the inconsistency of all judgments by the conformity rate, and the calculated inconsistency rate must be less than 10%. The compatibility coefficient of the final matrix shows the validity of the questionnaire. In order to analyze the data, Super Decision 1.6.0 software developed by Thomas L. Saati, the inventor of this method, as well as MS Excel 2019 software were used. There is considerable evidence that increasing tax requirements can increase tax compliance, but typically some types of tax offenses are used as a tool to control the phenomenon of tax default.

INTRODUCTION: The achievement of organizational goals depends on the ability of employees to perform the assigned tasks and adapt to the changing environment. The implementation of training and improvement of human resources allow people to effectively continue their activities and increase their efficiency in accordance with organizational and environmental changes. The present study aimed to assess the impact of information and communication technology on self-directed learning among Employees at the Red Crescent Society of Tehran. METHODS: This research was applied-descriptive and survey-type. The statistical population of the current research included all 1800 employees at the Red Crescent Society of Tehran. Based on Cochran's formula, 317 subjects were selected by simple random sampling and answered the questionnaires. To check the variables of the research, a 73-item questionnaire was used, which assesses the two variables of information and communication technology and self-directed learning. The validity of the questionnaire was confirmed by experts' opinions, and its reliability was assessed by Cronbach's alpha method. Research hypotheses were tested by structural equation modeling using LISREL software. Confirmatory factor analysis was used to measure the indicators of the questionnaire, and the model of path coefficients and significant coefficients was applied to examine the hypotheses. FINDINGS: The results of the analyses demonstrated that information and communication technology and each dimension of using computers, media (radio and television), the Internet, educational software, and mobile phones had a significant positive effect on self-control, willingness to learn, and self-management among the employees at Red Crescent Society of Tehran. CONCLUSION: In every organization, the management must make sure that the employees recognize the importance of learning since it is a key factor in the success of the organization. It is necessary for the management of every organization to remove mental models and old beliefs and, considering the role of information technology in learning and creating transformations in learning methods, provide the grounds for its application among employees.