درخت حوزه‌های تخصصی

The rapid emergence and evolution of technology have greatly impacted the way people live their lives. The internet has become a vital part of our daily lives. E-commerce is a type of technology development that enables customers to buy and sell products online. It is a unique form of transaction that connects people from all around the world. Today, many consumers shop for products online and present their products along with their specifications. This is becoming more prevalent. This increases the number of consumers online, which can result in a drop in growth. This is one of the main factors that a company uses to measure its success. Growing business success is revealed with retained customers. Satisfied consumers are the assets for a growing business. The study investigates the factors that influence people's decisions when it comes to buying items online. It shows that the experiences they have while shopping online can affect their decisions. The following statistical tools were applied for this study: percentage analysis, mean score with rank correlation, and t-Test. The results reveal that the factors quality, cost, product variety, uniqueness, and safety payments were highlighted as important indicators of performance and that the companies that do online businesses had to take care of their main goal as per the proposal.

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.