درخت حوزه‌های تخصصی

The research was conducted with the aim of designing a model of brand experience with the citizenship behavior of customers in the banking industry. The research method is qualitative and grounded theory, and it is considered fundamental in terms of its purpose. The statistical population of the research is Tehran banking industry managers with the highest education, experience, authorship, and ideas. In this research, unstructured and in-depth interviews were used to collect data and information. Data and information analysis were done through coding (open, axial, and selective coding) and MAXQDA software. In the end, a qualitative model is presented, which consists of causal conditions (Appropriate internet infrastructure, The emergence of new media, Creating a new form of communication, The proliferation of media, and Internet penetration rate), the main phenomenon (Branding, Brand experience, Brand personality, and Brand interest), intervening conditions (Building trust, Outsourcing, Customer behavior, Customer emotional attraction, Islamic banking, and Advertising), the contextual conditions(Customer behavior, Reproducibility of experience, Communication with customers and Notification), strategies (Accounting system, Systematic control, Low profit and help business, Electronic banking, Human Capital, Speed of service, Structure modification, Networking, Security, Creating competition and Personnel training) and consequences (Brand quality, Originality, Function, Customer satisfaction, and Customer loyalty).

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.

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

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.