فهرس المقالات Value dimension

• حرية الوصول المقاله
  • صفحة الملخص
  • نص كامل
  
  1 - Identifying the Components and Indicators of Social Marketing in Small and Medium Businesses with a Resistance Economy Approach
  Seyedeh Shima Ekhlasmand Majid Fattahi Shahram Salavati
  10.30495/jsm.2023.1979182.1766
  The purpose of this research is to identify the components and indicators of social marketing in small and medium businesses with a resistance economy approach. This research is philosophically positivist with an inductive approach. The current research, from the point أکثر

  The purpose of this research is to identify the components and indicators of social marketing in small and medium businesses with a resistance economy approach. This research is philosophically positivist with an inductive approach. The current research, from the point of view of the objective, is a descriptive research that has been conducted in a mixed manner. The method of data collection in this research was library and field through interviews with 30 university experts in the fields of management and marketing, organizational experts, management and economics, including top managers, experts, professors and related in the field of management and economics, who the purposeful sampling method was chosen by snowball method. The findings of this study showed four dimensions in the form of 12 components and 46 indicators. The quality dimension has four components: "Technical quality", "Execution quality", "Communication quality" and "Marketing quality", the value dimension has two components: "functional value" and "Emotional value", the behavioral dimension has four components: "Audience cooperation". Motivational desire", "Tension tolerance" and "Customer attitude" and communication dimension are also two components of "Creativity and innovation" and "Democracy". Therefore, based on the results obtained from the research findings, it is suggested that arrangements be made based on knowledge and communication and information innovations to promote social marketing in small and medium businesses with a resistance economy approach. تفاصيل المقالة
• حرية الوصول المقاله
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  2 - Presenting a Model of Customer Experience Management in Mobile Banking Industry for Commercial Banks Customers in Dubai
  Maryam Abadi Hamidreza Saeednia Abbas Khorshidi
  10.22094/joie.2021.678825
  The current research has been conducted to provide a model for customer experience management in the mobile banking industry for customers of commercial banks in Dubai. An explorative mixed methods research (qualitative and quantitative) was used in the research. Data w أکثر

  The current research has been conducted to provide a model for customer experience management in the mobile banking industry for customers of commercial banks in Dubai. An explorative mixed methods research (qualitative and quantitative) was used in the research. Data were gathered in both qualitative phase (based on grounded theory) and quantitative phase (based on cross-sectional survey method). In the qualitative phase, population consisted of academic specialists and experts (university professors in the field of management) selected by judgmental sampling method of snowball sampling type. Data were gathered using a semi-structured interview. Data gathering reached theoretical data saturation in the twenty-fifth interview, so interviews were stopped at this point. The results of coding based on grounded theory led to the identification of 170 open codes, 24 axial codes, and 7 selective codes including value, cognitive, motivational, sensory, physical, behavioral, and communicative ones. In the quantitative phase, population consisted of 100,000 users (equal numbers of men and women) of mobile banking services. Given that the community variance was not available, Morgan and Krejcie table were used to determine the sample size that was calculated at 384 individuals. Data analysis in the quantitative phase confirmed the findings of qualitative research according to chi-square (x2), goodness of fit (GFI), adjusted goodness of fit (AGFI), and root mean squared error of approximation (RMSEA) indices. تفاصيل المقالة