Presenting a Model of Customer Experience Management in Mobile Banking Industry for Commercial Banks Customers in Dubai
الموضوعات :Maryam Abadi 1 , Hamidreza Saeednia 2 , Abbas Khorshidi 3
1 - Department of Business Administration, U.A.E Branch, Islamic Azad University, Dubai, United Arab Emirates
2 - Department of Business Management, North Tehran Branch, Islamic Azad University, Tehran, Iran.
3 - Department of Educational Management, School of Management, Islamic Azad University, Islamshahr Branch, Tehran, Iran.
الکلمات المفتاحية: Cognitive dimension, Mobile Banking, Customer Experience Management, Value dimension, Motivational dimension,
ملخص المقالة :
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.
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