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In recent years, circular business models have become an inevitable requirement to foster improvements in social, environmental and economic performance. The present study was conducted by combining previous research with the aim of providing a comprehensive picture of the components of the role of digital technologies in circular entrepreneurship with a focus on business models. The research methodology is qualitative with a meta- synthesis approach. Accordingly, after searching the databases including Elsevier, MDPI, Taylor & Francis, ScienceDirect, Emerald, Wiley, Springer, Noormags and SID in the time range of 2010 to 2024, 132 related studies were evaluated and finally, after multiple screenings, 36 articles were selected. Using seven-step model of Sandelowski and Barroso, the findings of 36 previous studies related to the objectives of the study were reviewed, aggregated, combined, and interpreted, and with the help of coding method, 26 codes, 11 concepts and 3 components were identified and validated through Kappa Cohen coefficient. The identified components were introduced under three components, including improving the element of the value proposition of the circular business model, improving the element of value creation of the circular business model, and improving the element of value capture of the circular business model. Finally, the model of the role of digital technologies in circular entrepreneurship with a focus on business models was presented and drawn.

The purpose of this research is to select the best energy supply methods for blockchain technology and to optimize the use of each of the selected methods.For this purpose,a two-part hybrid approach based on best-worst multi-criteria decision making methods,VIKOR method and mathematical programming model has been used under uncertainty conditions.To implement this approach,first by reviewing the literature,the effective criteria in selecting the best method were extracted and then,the options or energy supply methods using blockchain technology were determined based on the experts’ opinion.Finally,the weight of the criteria and the final ranking of the selected options were determined by the best-worst and VIKOR methods, respectively.In the second part,in order to determine the optimal amount of using available facilities for blockchain technology to implement the selected method,a robust mathematical model is designed in which the NPV criterion is used as an economic evaluation measure of using the selected method in the first part. was taken As the obtained results show,the criteria of "implementability"and"productivity level"and"coordination with consumption pattern correction policies"have the highest level of importance with the weight of 0.339, 0.14and 0.14, respectively,in order to choose the best option.Also, the best score compared to other options belongs to the energy supply method"electricity generation from the combined use of national grid and solar panels".Solving the mathematical model shows that the highest level of economic efficiency belongs to the use of solar panels to provide a significant part of the need for power.

Purpose: Despite the widespread diffusion and interest aroused by content marketing, little attention has been paid until this moment to building a framework that presents the main currents and studies of the field. Hence, the main aim of this study was to cover this gap by analyzing bibliographic information as complementary sources and enable a wider understanding and grasp of the content marketing field.Method: For this purpose, a bibliometric study of the publications indexed in Web of Science (WoS) between 1985-2022 was conducted. The search process used in this review was informed by PRISMA guidelines. During the search process, a set of 371 documents (research  and review articles) were obtained. Also, the bibliometrix R-package and VOSviewer software were used for quantitative analysis and visualizing bibliometric networks.Findings: The descriptive statistics showed that content marketing studies have rapidly grown since 2011. The US and Spain are the countries with the most publications of the field. The most prominent journal concerning content marketing research is Brand Journalism (with 11 articles), and the most prolific author is Bull A (with 11 articles).The results of the thematic analysis showed that ‘digital marketing’ and ‘brand storytelling’ are emerging themes and have replaced ‘content marketing’. The co-word analysis of author’s keywords defines 8 clusters: 1) platforms and techniques 2) content marketing concepts, 3) influencer marketing and advertising, 4) digital and social media marketing, 5) brand management and brand storytelling, 6) brand journalism, 7) private and native media, and 8) corporate and public communication.Conclusion: Simultaneously with the development of content creation platforms, these platforms have been welcomed in the field of content marketing. Content preparation has undergone changes in recent years. The style of information content based on news and specialized knowledge has shifted its focus to storytelling and narrative messages from the brand. This paper introduces the main areas of interest and possible gaps. It also contributes to the body of knowledge by providing a comprehensive overview of content marketing literature.

Purpose: The purpose of this research was to provide a model for choosing the best content for the activity of service guilds.Method: In inferential statistics, the K-S test is used for the normality of research hypotheses. For this purpose, Pearson's correlation coefficient and linear regression tests have been used through SPSS 21 software, and the best content generated using genetic algorithms and forbidden search were introduced.Findings: Analysis of research and implementation results with two collective intelligence algorithms shows that Instagram has a positive and significant effect on all four dimensions and thus leads to the success of the service classes that have used Instagram.Conclusion: In this article, a combination model of genetic algorithm and forbidden search algorithm was chosen for users so that the best content, which of course does not contain malicious ads and cookies, etc., is introduced for the continuation of the service industry.

Purpose: This research aimed at presenting the consumers’ compulsive buying pattern through internet advertisements of digital content in Iran's TV shopping industry.Method: Research Methodology was practical in terms of purpose and conducted using mixed method (qualitative-quantitative). The research community was based on the purposeful sampling method, and consisted of ten marketing experts. The research tool was interview. MAXQDA software was used to analyze data through database theory. The statistical population in the quantitative section included TV buyers in Mashhad. Based on Morgan table and random sampling, 384 samples were selected. The research tool was a researcher-made questionnaire, and the Structural Equation Method (SEM) in SmartPLS software was used for data analysis. The validity of the questionnaire was confirmed by using face, content, divergent and convergent validities, and its reliability was also confirmed using Cronbach's alpha. Both of Composite and homogeneous reliability were evaluated.Findings: "appropriate digital marketing mix design for TV sales, digital marketing capabilities, individual demographic characteristics, lifestyle, family " constitute the causal conditions in the consumer’s compulsive buying pattern in the TV shopping. According to the findings, “quick and transient purchase and irrational and emotional purchase” were identified as a central phenomenon. “TV's attractiveness from the audience's point of view, broadcasting policies, sales companies' policies, national TV belief and trust, individual awareness and knowledge about buying products and society's culture” acted as intervening conditions. In the field of buying, “intellectual structures of society and executive structures of society” identified as background conditions. Human strategies and structural and organizational strategies” acted as strategies and “Consumers outcomes; families and society outcomes” were identified as outcomes. According to the results of structural modeling, the relationships of the identified pattern were significant.Conclusion: The issue of compulsive buying is one of the most important and common issues, and buying from TV has fueled this issue, and has become the basis for its expansion and, following that, its negative consequences. In this scientific research, efforts were made to reduce the consequences of this phenomenon. The results of this study showed that although the phenomenon of compulsive purchase from TV is negative, but with proper management, useful results can be obtained from it.