Saeed Abdolmanafi; Mohammad Majdameli; Aliakbar Neghabi; Soamyeh Izadi
Abstract
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 ...
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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.
Shalaleh Meraji Oskuie; Kamran Mohamadkhani; Ali Delavar; Ali Akbar Farhangi
Abstract
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, ...
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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.
Nazanin Emamgholi; Shahram Hashemnia; Ozhan Karimi
Abstract
Purpose: The present study aims to provide a model for analyzing the brand-customer relationship on Instagram in the cosmetics industry.Method: In this study, qualitative and quantitative methods have been used to analyze the data. The statistical population in the qualitative phase includes brand marketing ...
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Purpose: The present study aims to provide a model for analyzing the brand-customer relationship on Instagram in the cosmetics industry.Method: In this study, qualitative and quantitative methods have been used to analyze the data. The statistical population in the qualitative phase includes brand marketing experts and in the quantitative phase consists of customers of the cosmetics industry. Sampling has been non-probabilistic and purposeful in the qualitative phase, and random using Cochrane formula in the quantitative phase. Interviews and questionnaires were utilized as data collection tools. Content analysis was used to analyze specialized interviews. Moreover, the identified indicators were validated by Fuzzy Delphi method. Then, using the structural-interpretive method, the initial model is designed and finally, using the partial least squares method, the final model of the research is presented. The analysis of research data in qualitative quantitative phases has been done with MaxQDA software and Smart PLS software, respectively. In order to achieve the objectives of the study, a set of practical indicators of brand-customer relationship were identified on Instagram through analyzing experts’ interviews.Findings: The findings reveal that brand performance influences the positioning and creating of brand and brand value. Brand awareness and brand personality are among the indicators that affect brand performance. Furthermore, marketing strategy affects the quality of services.Conclusion: It is recommended that various entertainment tools such as videos, applications, in cyberspace on Instagram be posted and create a happy and fun atmosphere in cyberspace along with humor, contest design, and puzzles related to the type of activity and brands.
