حمیدرضا یزدانی

This study aimed to design a comprehensive model for intelligent organizational knowledge mapping with a hyper-hybrid approach based on meta-ethnography. In this article, various sources and theories about the knowledge map have been examined and analyzed using the meta-combined and meta-ethnography methods. Using the results of the work, a comprehensive model of knowledge map has been developed. Based on the qualitative approach in this research, the meta-hybrid method based on meta-ethnography has been used. The tool used has been articles related to  mapping knowledge for smart organizations. A total of 34 pieces of research were found with the keywords related to designing and developing the knowledge map in the title field. Finally, after 4 stages of refinement, out of 34 studies, 8 were excluded and 26 studies were selected for data analysis. In this article, by examining and analyzing various patterns of knowledge map development, finally, an 11-step model was developed. The proposed model of eleven basic steps, respectively, includes: determining the knowledge objectives of these centers by developing knowledge maps and identifying users of knowledge maps, identifying definitions and terminology of knowledge centers, identifying the basic processes of these centers, and drawing and analyzing its process maps, Knowledge extraction from the activities in the processes of smart organizations according to the process map, creating a profile for the extracted knowledge, creating knowledge connections and relationships and integrating these connections into an illustrated interface, and finally validating the developed knowledge map.

Two predominant methods for analyzing financial markets have been technical and fundamental analysis. However, the emergence of the Internet has altered the trading landscape. The availability of Internet and social media access plays a moderating role in information asymmetry, resulting in investors making informed decisions. Social media has turned into a source of information for investors. Through diverse communication channels on social media, investors articulate their perspectives on whether to buy or sell a stock. According to Surowiecki, the collective opinions gathered through social media frequently offer better predictions than individual opinions, a phenomenon referred to as the Wisdom of the Crowd. The wisdom of the crowd stands as an essential measure within social networks, with its potential to reduce errors and lessen information-gathering costs. In this study, we tried to evaluate the wisdom of the crowd's potential to improve stock price prediction accuracy. So, we developed a prediction model by Long Short-Term Memory based on the wisdom of the crowd. Users’ opinions in Persian about the Tehran Stock Exchange (TSE) stocks were collected from SAHMETO for eight months. The Support Vector Machine classified them into buy, sell, and neutral classes. During the research period, people mentioned 823 stocks, and 52 stocks with over 100 signals were chosen. The results of the study show that although the model presented has achieved an acceptable level of accuracy, correlations between the actual and predicted values exceeded 90%. The accuracy metrics of the proposed model compared to the base model were not improved.

Purpose: One of the concerns of citizens and officials of organizations and institutions is social vitality development. Therefore, the present study was conducted to propose a model for social vitality development using meta-synthesis approach. Methodology: This study was applied in terms of objective and qualitative in terms of research method. The field of research was all articles on social vitality during 1990-2022, 39 of which were selected based on inclusion criteria by purposive sampling. The data were collected by taking notes from the articles and analyzed by content analysis based on the seven-step meta-synthesis approach of Sandelowski and Barroso (2007). Findings: The results showed that 19 components and 3 dimensions were identified for a model for social vitality development. The dimensions include urban development and urban planning (6 components of compliance with the principles of urbanization and good urban governance, urban furniture design and beautification of the neighborhood, urban services and preservation of the urban environment, calming of roads and smoothing of traffic, design and construction of parks and gardens, and construction of smart parking lots), social and cultural affairs (7 components of public and morning sports, development of sports centers, development of culture and art houses, citizen health services, development of game and entertainment centers, implementation of citizenship education programs and skill training and entrepreneurship) and relations and citizenship rights (6 components of strengthening family relations, neighborhood rights, strengthening the network of friends, local cohesion and identity, resilience and the narrative of the sense of experiencing vitality in the company of friends). Finally, according to the identified components and dimensions, a model was designed for social vitality development. Conclusion: The designed model for social vitality development based on meta-synthesis approach can have many practical implications for citizens and officials of urban and governmental organizations and institutions. Accordingly, they can design and implement solutions for social vitality development

Despite the vital role of information in relational-oriented firms, there are limited studies on the impact of information quality on relationship marketing. To address this gap, this study develops a conceptual model to examine the impact of information quality on the successful implementation of relationship marketing by assessing the mediating role of salespeople's relational competency. The proposed model is tested using structural equation modeling (SEM) technique with data collected from 140 employee-customer pair sample of Shatel Group (Tehran, Iran). Stratified sampling is our applied research methodology, we also employed questionnaire for data collection. The results indicate that while there is no meaningful relationship between information quality and salespeople's relational competency, there is a significant relationship between salespeople's relational competency and relationship marketing. Accordingly, it could be concluded that salespeople's relational competency cannot act as a mediating variable and thus information quality cannot affect relationship marketing indirectly.