The effects of demographic factors on customer satisfaction from ATM (Case Study: mellat Bank in Mazandaran state)

Year 2015, Volume: 36 Issue: 3, 2049 - 2056, 13.05.2015

Mahzad Mırzagolı Erfan Memarıan

Abstract

Abstract. This study aimed to identify the demographic factors on customer satisfaction of mellat Bank ATM in mazandaran province using Logit, logistic and regression method. This research is a type of applied research and research methodology is described as descriptive, explanatory and survey research. the 8- demographic variables ( age, sex, education, status, employment status, marital status, occupation, type of account ) was used in the model. Assumptions related to gender, marital status, residence, employment status, education, type of bank account for verified. then significant study of regression using the LR statistic significant level 5℅ in final model investigated. The results show that the greatest impact on customer satisfaction and is the type of account and employment status. Residence status, occupation, gender, education and marital status have the greatest impact on customer satisfaction respectively. 

Keywords

customer, ATM, demographic factors, logit model

References

• Al-Doghaither AH. (2004) Inpatient satisfaction with physician services at King Khalid University Hospital, Riyadh, Saudi Arabia. East Mediterr Health J 2004; 10(3): 358-64.
• Arasli Huseyin, Mehtap-Smadi Salime and Turan Katircioglu Salih, (2005), "Customer service quality in the Greek Cypriot banking industry ", Managing Service Quality, Vol. 15No. 1, pp. 41-56.
• Chang, S. E. , & Yu-Teng, J. (2009). Assesung Customer Satisfaction in a V-Commerce Environment. Journal of Organizational Computing and Electronic Commerce, 15, 30-49.
• Fecikova, Ingrid, (2004 )An index method for measurement of customer satisfaction, The TQM Magazine, Volume 16, Number1, 2004, pp. 57-66.
• Jabulani, N. (2001). An Examination of Customer Service Employees’ Self- Efficiency, Job Satisfaction, Demographic Factors and Customer Perception of Hotel Service Quality Delivery in Jamaica, A Dissertation for DBA, Nova South Eastern University.
• Kumar. R&Barani, G (2012). Appraisal Relationship between Service Quality and Customer Satisfaction in Organized Retailing at Bangalore City, India, Industrial Engineering Letters, 2(2).
• Lai, L. , Liu, Ch. & Lin, J. (2011). “The moderating effects of switching costs and inertia on the customer satisfaction-retention link: Auto liability insurance service in Taiwan”, Insurance Markets and Companies: Analyses and Actuarial Computations, 2 (1), pp. 69-78.
• Lee, H. (2010). “Factors influencing customer loyalty of mobile phone service: Empirical evidence from Koreans”, Journal of Internet Banking and Commerce, 15 (2), pp. 1-15.
• Ndubisi, N. O. , Malhotra, N. k. , & Wah, C. K. (2009). Relationship Marketing, Customer Satisfaction and Loyalty: A Theoretical and Empirical Analysis From an Asian Perspective. Journal of International Consumer Marketing, 23, 5-16.
• Quintana, J. M. , González, N. , Bilbao, A. , Aizpuru, F. , Escobar, A. , Esteban, C. , Thompson, A. (2006, ). Predictors of patient satisfaction with hospital health care. BMC Health com/content/pdf/1472-6963-6-102. pdf 6, 102. Retrieved from www. biomedcentral.
• Supinah, R. , Anis, Z. and Amin, H. (2008), “Banking channels adaption in Malaysian: an analysis”, Labuan E-Journal of Muamalat and Society, Vol. 2, PP. 17-26.
• Wu, L. (2011). “Satisfaction, inertia, and customer loyalty in the varying levels of the zone of tolerance and alternative attractiveness”, Journal of Services Marketing, 25 (5), pp. 310- 322.
• Yao, H. H. , Chiuhsiang, J. L. , & James, C. C. (2007). Customer Satisfaction Measurement with Neural Network. Human Systems Management, 26, 47-52.
• Yuksel, A, Yuksel, F &Bilim, Y (2010). Destination attachment: Effects on customer satisfaction and cognitive, affective and cognitive loyalty, journal of tourism management. 31, pp. 278.