Impact of Service Quality and Demographic Characteristics on Iranian Bank Customers Retention
محل انتشار: اولین کنفرانس بین المللی بازاریابی خدمات بانکی
سال انتشار: 1388
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 2,413
فایل این مقاله در 20 صفحه با فرمت PDF قابل دریافت می باشد
- صدور گواهی نمایه سازی
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
IBSM01_018
تاریخ نمایه سازی: 5 مرداد 1388
چکیده مقاله:
Customer retention is an important factor of banking industry. If retention criteria are well managed, the customer's retention rate might be increased. A sample of 281 customers took part in this study. Data were collected using survey questionnaire and some related bank documents. The current paper reports finding from a survey which looked into the impact of service quality and customer demographic characteristics on its satisfaction which are two retention relevant elements that influence customers’ decisions to stay with or leave their bank. One of the main findings is that service quality was rated by customers as having a strong impact on retention. Our findings also indicate that there is a strong relationship between customers’ length of stay and satisfaction. Demographic characteristics such as gender, educational level, age and income were also evaluated for their contribution to intentions of staying with or switching for alternative banks. Findings indicate that customers’ age groups and educational level contributed to explaining customers' propensity to stay with their bank. It is essential for bank managers to focus on bank services quality in order to increase retention rates, so that banking sector can exploit the potential advantages of retention to remain competitive.
کلیدواژه ها:
نویسندگان
Arezou Pour Mirza
Division of Industrial Marketing & E-Commerce, Luleå University of Technology (LTU), Sweden & Department of Industrial Engineering, Tarbiat Modares University (TMU), Iran
Åsa Wallström
Division of Industrial Marketing & e-Commerce, Luleå University of Technology (LTU), Sweden
Mohammad T Hamidi Beheshti
Department of Electrical & Computer Engineering, Tarbiat Modares University (TMU), Iran
مراجع و منابع این مقاله:
لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :