A comparative Kano analysis on customer satisfaction based on customer and employment perspectives


Sakineh Noorinasab and Mohammad Hemati


These days, there is a tight competition among business units and all production units or service businesses attempt to use different techniques to increase their market shares. In such environment, customer normally says the last word, in fact, customer plays an important role and in many organizations, it is considered as part of their assets. The purpose of this paper is to propose a hybrid method to detect important criteria using Kano three-dimensional method and prioritize them using analytical hierarchy process. We implement the proposed model of this paper for one of Iranian banks called Bank Melli Iran. The study determines 25 different attributes, categorizes them in three different groups based on Kano model, and ranks them in terms of customers and employees' perspective. The results of the survey indicate that customer and employees mostly have similar views since there are 21 common attributes between them. However, the priorities of these 21 items are often different in terms of two groups of employees and customers.


DOI: j.msl.2012.05.012

Keywords: Customer satisfaction ,Quality of products ,Kano model ,Analytical hierarchy process

How to cite this paper:

Noorinasab, S & Hemati, M. (2012). A comparative Kano analysis on customer satisfaction based on customer and employment perspectives.Management Science Letters, 2(5), 1555-1562.


References

Arbore, A. & Busacca, B. (2009). Customer satisfaction and dissatisfaction in retail banking: Exploring the asymmetric impact of attribute performances. Journal of Retailing and Customer Services, 16(4), 271-280.

Bhat M. A. (2005). Corelates of service quality in banks: an empirical investigation. Journal of Service Resource, 5(1), 77-99.

Chen C.C., & Chuang, M.C. (2008). Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design. International Journal of Production Economics, 114, 667-681.

Chi, C. G., & Gursoy, D. (2009).Employee satisfaction, customer satisfaction, and financial performance: An empirical examination. International Journal of Hospitaliyty Management, 28, 245-253.

Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334.

Fonseca, J. R. S. (2009). Customer satisfaction study via a latent segment model. Journal of Retailing and Customer Services, 16, 352-359.

Udo, G.J., Bagchi, K.K., Kirs, P. J. (2010). An assessment of customers’ e-service quality perception, satisfaction and intention. International Journal of Information Management, 30(6), 481-492.

Helgesen, O. & Nesset, E. (2007). What accounts for student's loyalty? some field study evidence. International Journal of Educational Management, 21(2), 126-143.

Ho.W. (2008). Integrated analytic hierarchy process and its applications – A literature review. International Journal operational Research, 174, 1553-1566.

Jamal, A., & Naser, K. (2002). Customer satisfaction and retail banking: An assessment of some of the key antecedents of customer satisfaction in retail banking. International Journal of Bank Marketing, 20(4), 146-160.

Ladhari, R., Pons, F., & Bressolles, G. & Zins, M. (2010). Culture and Personal values: How they influence perceived service quality. Journal of Business Research, 64(9), 951-957.

Lee, Y.C., & Huang, S.Y. (2009). A new fuzzy cocept approach for kano's model. Expert System with Applications, 36, 4479-4484.

Li, Y., Tang, J., Luo, X. & Xu, J. (2009). An integrated method of rough set, kano's model and AHP method for rating customer requirements, final importance. Expert System with Applications, 36, 7045-7053.

Martinez, J. A., & Martinez, L. (2010). Some insights on conceptualizing and measuring service quality. Journal of Retailing and Customer Service, 16, 29-42.

Naeem, H., & Iqbal, S. M. (2010). Employee empoverment and customer satisfaction: Emrical evidence from the banking sector of Pakistan. African Journal of Business Management, 4(10), 2028-2031.

Rivière. P., Monrozier, R., Rogeaux, M., Pagès, J., & Saporta, G. (2006). Adaptive preference target: contribution of Kano's model of satisfaction for an optimized preference analysis using a sequential consumer test. Food Quality and Preference, 17, 572–581.

Saaty, T.L. (1994). Highlights and critical points in the theory and application of the analytical hierarchy process. European Journal of Operational Research, 1994, 426-447.

Pyon, C.Y., Woo, J.Y., & Park, S.C. (2010). Intelligent service quality management system based on analysis and forecast of Voc. Expert System with Application, 37, 1056-1064.

Wassenaar, H.J., Chen, W., Cheng, J., & Sudjianto, A. (2005). Enhancing discrete choice demand modeling for decision-based design. ASME Journal of Mechanical Design, 127, 514–523.

Xu, Q., iao, R.J., Yang, X., Helander, M., Khalid, H.M., & Opperud, A. (2009). An analytical Kano model for customer need analysis. Design Studies, 30(1), 87-110.

Yap, K. B. & Sweeney, J. C. (2007). Zone – of – tolerance moderates the service quality – outcome relationship. Journal of Services Marketing, 2(2), 137-148.

Yu, X., Guo, S., Guo, J., & Huang, X. (2011). Rank B2C e-commerce websites in e-alliance based on AHP and fuzzy TOPSIS. Expert System with Application, 38, 3550-3557.



Corresponding author.

E-mail addresses: noorinasab_negar@yahoo.com (S. Noorinasab)

© 2012 Growing Science Ltd. All rights reserved.

doi: 10.5267/j.msl.2012.05.012