مطالب

Purpose: The purpose of this study is to improve the organizational adequacy model for the digital maturity of Iranian offices with a data-based approach. Methodology: This research was conducted with a qualitative-inductive approach and the Strauss-Corbin contextual theory method. The research tool (data collection) was a semi-structured interview, which means that by analyzing qualitative data, it identifies the unknown aspects of the research variables. Using the grounded theory method, the data obtained from interviews with 10 elites and qualified specialists of the Telecommunication Organization were analyzed in three stages of open, axial and selective coding. Results: 14 general categories were presented in the form of a paradigm model that these factors include causal conditions (law and regulations, organizational culture, organizational structure, need for organizational adequacy, customer relationship management) central phenomenon (promotion of organizational adequacy in the Iranian administrative system), underlying conditions (Organizational development method), intervening conditions (effectiveness of human resources, organizational principles, and criteria, organizational adequacy thinking) and strategies (growth and development of administrative culture, development of basic criteria of organizational adequacy, organizational excellence strategy) and consequences (achievement of organizational goals, achievement of master goals Reference). Conclusion: Human resources are most valuable factor of production and most important capital and main source of competitive advantage and the creation of basic capabilities and real estate wealth in the areas of talent recognition, monitoring of any organization is considered, so performance capital It is necessary to improve it. Telecommunication organization with knowledge developments can continuously improve organizational adequacy to achieve digital maturity.

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.