شهرام هاشم نیا

Purpose: The purpose of this research was to provide a model for Validating and Presenting Brand-Customer Interaction Model in Digital Platform in the Cosmetics Industry.Method: This research was applied in its purpose and utilized a mixed approach (qualitative and quantitative). In this regard, this study was conducted with the aim of presenting and validating the brand-customer interaction model in Instagram Platform. The present study is a descriptive survey in terms of its practical-developmental purpose and data collection method. The statistical population in the qualitative section includes marketing professors and cosmetics industry managers, 20 of whom were selected by purposive sampling. The statistical population in the quantitative section also includes customers of cosmetics and health products, 384 participants were selected using the convenience sampling. The data collection tools were a semi-structured interview and a researcher-made questionnaire. First, thematic analysis method was used to analyze the expert interviews. Next, the identified pattern was validated using partial least squares method. Thematic analysis and partial least squares were done with MaxQDA software and Smart PLS software, respectively.Findings: The criterion to achieve data saturation has been to achieve repetition in extracting codes. 235 codes were identified in the open coding stage. Finally, three overarching themes, eight organizing themes, and 49 basic themes were obtained through axial coding. Based on the structural equation model, the proposed model was fitted and confirmed.Conclusion: Based on the results, effective marketing and digital content marketing are the basic elements of the model, which increase brand recognition and brand identity among customers by increasing interaction with customers. Brand recognition and identity contribute to positive word-of-mouth marketing, which in turn affects brand positioning on Instagram. Finally, in this way, it is possible to create a constructive and interactive brand-customer relationship.

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.

Purpose : Considering the competitive space of online businesses, branding would be the key element for achieving a competitive advantage. This study aimed at providing a digital marketing model for online business branding. Method : This was a fundamental study in terms of objective, which was conducted by using the mixed method based on deductive-inductive reasoning. Moreover, the identified indicators were validated by using the Fuzzy Delphi Method (FDM). Data analysis was done through MaxQDA and Matlab software within qualitative and quantitative phases, respectively. Findings : The main categories of the study included marketing strategy, personalization, website design, consumer interaction, product features. Digital branding is at the center of the analytical model with dynamic interaction with four categories mentioned above. The website should be designed flexibly to provide customers with a personalization option. Furthermore, the product/service mix must be based on innovation. Conclusion : The needs and expectations of customers should also be found through interaction with customers. Finally, business management was obtained through marketing strategies.

The purpose of this study was to identify and analyze the macro requirements of online education with emphasis on the corona pandemic. The method of conducting research is mixed (qualitative-quantitative). To conduct this research, in addition to the documentary study, the content analysis technique with MAXQDA12 software was used to identify the dimensions and indicators and to determine the share of each factor, the confirmatory factor analysis method of smart pls3 software was used. The statistical population in this study was in the qualitative part of all experts in the field of educational management and governmental and higher education, which was conducted after 17 saturated interviews. In the quantitative section, all faculty members of Tehran universities were selected according to Morgan's table, 353 samples were selected by simple random method. Finally, 7 dimensions and 41 indicators were identified. The structural equation method of smartpls3 software was used to draw the pattern. The results showed that the dimensions of Social and cultural requirements (0.874), Infrastructure requirements (0.872), Educational and research requirements (0.796), Policy and strategic requirements (0.791), Financial and economic requirements (0.779), Legal requirements (0.716) and Managerial and organizational requirements (0.694) are the most important in the macro requirements of online education based on the Corona pandemic, respectively..