درخت حوزه‌های تخصصی

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.

Purpose : The purpose of this study is a policy-making model of the Ministry of Industry, Mine and Trade (MIMT) based on digital transformation is presented. Method : The study is an applied-developmental study in terms of purpose and cross-sectional survey research. A semi-structured interview and Likert scale questionnaire were used to collect data. The reliability of the questionnaire was assessed using Cronbach's alpha and combined reliability. The statistical population includes experts in the automotive industry until the theoretical saturation was reached and 15 experts participated. Using Cochran's formula for indeterminate populations, 365 people were calculated as a sample and cluster sampling method. To analyze the data, the grounded theory analysis method was used to identify the research indicators, and to validate and present the final model, the structural equation modeling method and LISREL software were used. Findings : it can be acknowledged that before deciding to transform processes and enter the digital arena, it is necessary to assess the readiness of the organization as well as its human resources to accept this change Conclusion : the implementation of the automotive industry policy for digital transformation will make the Ministry of Industry, Mine, and Trade the digital leader in the automotive industry.

The purpose of this study is to evaluate online marketing tools and provide a model to improve sales performance. This qualitative research is applied in terms of purpose. Subjects in qualitative research are people living in the cities of Nowshahr, Chalous, and Tonekabon, whose sample size in the qualitative section includes knowledgeable interviewees in the field of online business. The data collection tool was purposeful and MAXQDA software was used for data analysis. In a small phase, the subjects were Caspian littoral consumers in the field of online business, about 400 of whom were selected to collect data from them. The AMOS and EXCEL have been used to test the hypotheses of structural model equations, and perform Dematel analysis. The results showed that the amount of  for e-services and electronic security was negative, which indicates the influence (disability variable) of the above factors in the conceptual model of the research. Also, the   rate for electronic advertising and electronic support is more than zero, which indicates the effectiveness (cause variable) of these factors. The calculated   value shows that the order of importance of the five indicators in the present research model is: 1- Electronic services 2- Electronic support 3- Electronic customer orientation 4- Electronic advertising 5- Electronic security. The results show that five indicators (e-services, e-security, e-support, e-advertising, and e-customer orientation) are components and tools of online marketing to improve sales performance. The results showed that the amount of E_j for e-services and electronic security was negative, which indicates the influence (disability variable) of the above factors in the conceptual model of the research. Also, the E_j rate for electronic advertising and electronic support is more than zero, which indicates the effectiveness (cause variable) of these factors. The calculated P_i value shows that the order of importance of the five indicators in the present research model is: 1- Electronic services 2- Electronic support 3- Electronic customer orientation 4- Electronic advertising 5- Electronic security. The results show that five indicators (e-services, e-security, e-support, e-advertising, and e-customer orientation) are components and tools of online marketing to improve sales performance.