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.

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.

Cyber transgressions (non-normative behaviors, attitudes and conditions) are growing, hence we employed a three-study exploratory sequential mixed method designed to make a taxonomy of Instagram cybercultural transgressions, and cyber social control means; to examine the effects of low self-control, depression, negative interpersonal relationships, computer/ Internet self-efficacy, netiquette, and normative beliefs, and also sociodemographic factors, and media use habits on cybercultural transgressions; and to explore the effectiveness of jurisdiction, non-anonymity, filtering, and forced user migration to domestic social media platforms as cyber social control means. The quantitative findings from 989 participants showed that nondepressed, older, married, middle-income, university educated, non-student users (especially women) with high self-control, more positive interpersonal relationships, moderate levels of computer/ Internet self-efficacy, normative beliefs, and with more years of Internet use experience, and less daily Internet use, who are knowledgeable about netiquette, are parents, have a job (also retired individuals and housewives), do not use VPNs, psychotropic medications, and alcoholic beverages and/ or recreational drugs, do not have previous experience of online victimization, do not associate with online transgressors, and do not feel being in minority, are less likely than others to commit online transgressive behaviors, or consume transgressive content. The importance of jurisdiction and non-anonymity as social control means, and the failure of filtering and forced user migration to Iranian social media platforms are discussed. These findings can be useful in devising new non-coercive policies and initiatives to socially control cybercultural transgressions.