3. RESULTS OF AN EMPIRICAL INVESTIGATION
In 2004, a field research has been implemented to measure bank service quality in one of Iranian leading banks (Bank Refah).[7] The primary objectives of this research were to answer the following research questions:
1. What factors affect on bank service quality?
2. What are the relative importance weights of bank service quality dimensions from stand points of the customers and employees?
3. How about the gaps between customers and employees expectations and bank actual performance?
4. How customers and employees score bank service quality?
5. Statistically, is there a meaningful difference between two sets of the relative importance weights were defined by customers and employees?
First question was answered by literature review. To answer the second and the third questions, an adjusted SERVQUAL questionnaire was designed and distributed among bank customers and employees. (See Appendix 1) The questionnaire was included 8 quality dimensions with 32 quality factors or elements. To answer the fourth question, four classical service quality measurement methods (SERVQUAL, weighted SERVQUAL, SERVPERF and weighted SERVPERF) were applied. Also, in order to determine the relative importance weights for weighted SERVQUAL and weighted SERVPERF models, Shannon Entropy Method was used. Finally, the fifth and the sixth questions were answered by using statistical methods.
[Insert Table 1 near here]
In summary, this research had the following implications:
Both customers and employees have defined different average relative importance weights for all 8 quality dimensions and all 32 service quality factors.
Statistically, there was a meaningful difference between the sets of the average relative importance weights were defined by the customers the employees.
Both customers and employees evaluated bank service quality higher than average.
Customers’ average scores were meaningfully higher than that of the employees.
The lessons we learned from this research were:
• Service quality measurement problems are naturally multi-dimension and complex problems. The problem is one of value trade-off that requires the subjective judgment of the DM.
• Mostly, customers’ preference structure is different from that of the employees
• Classical service quality measurement methods can not incorporate DM preferences, effectively. They are not interactive.
• Designing a new general approach for service quality measurement is a necessity in order to remove the classical models weak points.
3. RESULTS OF AN EMPIRICAL INVESTIGATIONIn 2004, a field research has been implemented to measure bank service quality in one of Iranian leading banks (Bank Refah).[7] The primary objectives of this research were to answer the following research questions:1. What factors affect on bank service quality?2. What are the relative importance weights of bank service quality dimensions from stand points of the customers and employees?3. How about the gaps between customers and employees expectations and bank actual performance?4. How customers and employees score bank service quality?5. Statistically, is there a meaningful difference between two sets of the relative importance weights were defined by customers and employees?First question was answered by literature review. To answer the second and the third questions, an adjusted SERVQUAL questionnaire was designed and distributed among bank customers and employees. (See Appendix 1) The questionnaire was included 8 quality dimensions with 32 quality factors or elements. To answer the fourth question, four classical service quality measurement methods (SERVQUAL, weighted SERVQUAL, SERVPERF and weighted SERVPERF) were applied. Also, in order to determine the relative importance weights for weighted SERVQUAL and weighted SERVPERF models, Shannon Entropy Method was used. Finally, the fifth and the sixth questions were answered by using statistical methods. [แทรกตาราง 1 ใกล้ที่นี่]ในสรุป งานวิจัยนี้มีผลกระทบต่อไปนี้:เตรียมการทั้งลูกค้า และพนักงานได้กำหนดน้ำหนักความสำคัญสัมพัทธ์เฉลี่ยแตกต่างกันทั้งหมด 8 คุณภาพขนาดและปัจจัยคุณภาพบริการ 32 ทั้งหมดเตรียมทางสถิติ มีความหมายความแตกต่างระหว่างชุดของน้ำหนักความสำคัญสัมพัทธ์เฉลี่ยถูกกำหนด โดยลูกค้าพนักงานเตรียมการทั้งลูกค้า และพนักงานมีประเมินคุณภาพบริการธนาคารสูงกว่าค่าเฉลี่ยคะแนนเฉลี่ยของลูกค้าเตรียมมาสูงกว่าที่พนักงานได้บทเรียนที่เราเรียนรู้จากงานวิจัยนี้ได้:•บริการคุณภาพประเมินปัญหาธรรมชาติมีปัญหาหลายมิติ และซับซ้อน ปัญหาเป็น trade-off ค่าที่ต้องการตัดสินตามอัตวิสัยของ DM อย่างใดอย่างหนึ่ง•ส่วนใหญ่ โครงสร้างตามความชอบของลูกค้าจะแตกต่างจากพนักงานวิธีการวัดคุณภาพบริการคลาสสิก•สามารถไม่รวมลักษณะ DM ได้อย่างมีประสิทธิภาพ จะไม่โต้ตอบ•ออกแบบวิธีการทั่วไปแบบใหม่สำหรับการประเมินคุณภาพบริการเป็นสิ่งจำเป็นเพื่อลบจุดอ่อนของรูปแบบคลาสสิก
การแปล กรุณารอสักครู่..
