A model for evaluation of customer satisfaction with banking service quality in an uncertain environment

References

• Allred, A. T., & Adams, H. L. (2000). Service quality at banks and credit union: What do their customers say? International Journal of Bank Marketing, 18(4), 200–207. doi: 10.1108/02652320010349076
   Google Scholar
• Bahia, K., & Nantel, J. (2000). A reliable and valid measurement scale for the perceived service quality of banks. International Journal of Bank Marketing, 18(2), 84–91. doi: 10.1108/02652320010322994
   Google Scholar
• Bass, S. M., & Kwakernaak, H. (1977). Rating and ranking of multiple-aspect alternatives using fuzzy sets. Automatica, 3, 47–58. doi: 10.1016/0005-1098(77)90008-5
   Web of Science ®Google Scholar
• Beerli, A., Martín, J. D., & Quintana, A. (2004). A model of customer loyalty in the retail banking market. European Journal of Marketing, 38(1/2), 253–275. doi: 10.1108/03090560410511221
   Google Scholar
• Blocker, P. C. (2012). The dynamic of satisfaction and loyalty after transgressions. Journal of Service Marketing, 26(2), 94–101. doi: 10.1108/08876041211215257
   Web of Science ®Google Scholar
• Casanovas, M., & Merigó, J. M. (2012). Fuzzy aggregation operators in decision making with Dempster-Shafer belief structure. Expert System with Applications, 39(8), 7138–7149. doi: 10.1016/j.eswa.2012.01.030
   Web of Science ®Google Scholar
• Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95, 649–655. doi: 10.1016/0377-2217(95)00300-2
   Web of Science ®Google Scholar
• Choudhury, K. (2013). Service quality and customers’ purchases intentions: An empirical study the Indian banking sector. International Journal of Bank Marketing, 31(7), 529–543. doi: 10.1108/IJBM-02-2013-0009
   Google Scholar
• Dubois, D., & Prade, H. (1980). Fuzzy sets and systems: Theory and applications. London: Academic Press.
   Google Scholar
• Gritten, A. (2011). New insights into customer confidence in financial services. International Journal of Bank Marketing, 29(2), 90–106. doi: 10.1108/02652321111107602
   Google Scholar
• Jamal, A., & Anastasiadou, K. (2009). Investigating the effects of service quality dimensions and expertise on loyalty. European Journal of Marketing, 43(3/4), 398–420. doi: 10.1108/03090560910935497
   Web of Science ®Google Scholar
• Jeon, H., & Choi, B. (2012). The relationship between employee satisfaction and customer satisfaction. Journal of Service Marketing, 26(5), 332–341. doi: 10.1108/08876041211245236
   Web of Science ®Google Scholar
• Kaplan, R. S., & Norton, D. P. (2008). The execution premium: Linking strategy to operations for competitive advantages. Boston: Harvard Business School.
   Google Scholar
• Kaya, T., & Kahraman, C. (2011). Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology. Expert Systems with Applications, 38, 6577–6585. doi: 10.1016/j.eswa.2010.11.081
   Web of Science ®Google Scholar
• Klaus, P., Gorgoglione, M., Buonamassa, D., Panniello, U., & Nguyen, B. (2013). Are you providing the “right” customer experience? The case of Banca Propalare di Bari. International Journal of Bank Marketing, 31(7), 506–528. doi: 10.1108/IJBM-02-2013-0019
   Google Scholar
• Klir, G. J., & Folger, T. A. (1988). Fuzzy sets, uncertainty and informations. Englewood Cliffs, NJ: Prentice-Hall.
   Google Scholar
• Krishnan, M. S., Ramaswamy, V., Meyer, M. C., & Damien, P. (1999). Customer satisfaction for financial services: The role of products, services, and information technology. Management Science, 45(9), 1194–1209. doi: 10.1287/mnsc.45.9.1194
   Web of Science ®Google Scholar
• Kwong, C. K., & Bai, H. (2003). Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach. IIE Transactions, 35(7), 619–625. doi: 10.1080/07408170304355
   Web of Science ®Google Scholar
• Lootsma, F. A. (1997). Fuzzy logic for planning and decision making. Boston: Kluwer Academic.
   Google Scholar
• Marinković, V., & Senić, V. (2012). Loyalty patterns in corporate banking: Insights gained from analyzing willingness to recommend and share of wallet concepts. Total Quality Management & Business Excellence, 23(11-12), 1465–1478. doi: 10.1080/14783363.2012.733265
   Web of Science ®Google Scholar
• Mattos, A. (1999). Empregos e empresas que mudaro com a Internet. Revista de Administrao de Empresas, 39(3), 73–108. doi: 10.1590/S0034-75901999000300008
   Google Scholar
• Merigó, J. M. (2010). Fuzzy decision making with immediate probabilities. Computers & Industrial Engineering, 58(4), 651–657. doi: 10.1016/j.cie.2010.01.007
   Web of Science ®Google Scholar
• Merigó, J. M., & Casanovas, M. (2010). The fuzzy generalized OWA operator and its application in strategic decision making. Cybernetic & Systems, 41, 359–370. doi: 10.1080/01969722.2010.486223
   Web of Science ®Google Scholar
• Merigó, J. M., & Gil-Lafuente, M. A. (2011). Fuzzy induced generalized aggregation operators and its application in multi-person decision making. Expert System with Applications, 38(8), 9761–9772. doi: 10.1016/j.eswa.2011.02.023
   Web of Science ®Google Scholar
• Mishra, U. S., Sahoo, K. K., Mishra, S., & Patra, S. K. (2010). Service quality assessment in banking industry of India: A comparative study between public and private sectors. European Journal of Social Sciences, 16(4), 653–669.
   Google Scholar
• Mualla, N. D. (2011). Measuring quality of bank services in Jordan: Gap analysis. International Journal of Business and Social Science, 2(1), 51–58. doi: 10.18848/1836-6236/CGP/v02i01/51515
   Google Scholar
• Mukherjee, A., Nath, P., & Pal, M. (2003). Resource, service quality and performance triad: A framework for measuring efficiency of banking services. Journal of the Operational Research Society, 54(7), 723–735. doi: 10.1057/palgrave.jors.2601573
   Web of Science ®Google Scholar
• Nestic, S., Stefanovic, M., Djordjevic, A., Arsovski, S., & Tadic, D. (2015). A model of the assessment and optimisation of production process quality using the fuzzy sets and genetic algorithm approach. European Journal of Industrial Engineering, 9(1), 77–99. doi: 10.1504/EJIE.2015.067453
   Web of Science ®Google Scholar
• Paradi, C. J., Rouatt, S., & Zhu, H. (2011). Two-stage evaluation of bank branch efficiency using data envelopment analysis. Omega, 39(1), 99–109. doi: 10.1016/j.omega.2010.04.002
   Web of Science ®Google Scholar
• Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: A multiple-item scale for measuring consumer perception of service quality. Journal of Retailing, 64(1), 12–40.
   Web of Science ®Google Scholar
• Patsiotis, G. A., Hughes, T., & Webber, J. D. (2012). An examination of customers’ resistance to computer-based technologies. Journal of Service Marketing, 27(4), 294–311. doi: 10.1108/08876041311330771
   Web of Science ®Google Scholar
• Seçme, N. Y., Bayrakdaroğlu, A., & Kahraman, C. (2009). Fuzzy performance evaluation in Turkish banking sector using analytic hierarchy process and TOPSIS. Expert System with Applications, 36, 11699–11709. doi: 10.1016/j.eswa.2009.03.013
   Web of Science ®Google Scholar
• Tadić, D., Gumus, T. A., Arsovski, S., Aleksić, A., & Stefanović, M. (2013). An evaluation of quality goals by using fuzzy AHP and fuzzy TOPSIS methodology. Journal of Intelligent & Fuzzy Systems, 25, 547–556.
   Web of Science ®Google Scholar
• Virk, N., & Mahal, K. P. (2012). Customer satisfaction: A comparative analyses of public and private sector banks in India. Information and Knowledge Management, 2(3), 1–7.
   Google Scholar
• Wu, H.-Y., Tzeng, G.-H., & Chen, Y.-H. (2009). A fuzzy MCDM approach for evaluating banking performance based on balanced scorecard. Expert System with Applications, 36, 10135–10147. doi: 10.1016/j.eswa.2009.01.005
   Web of Science ®Google Scholar
• Yannopoulos, P. (2011). Defensive and offensive strategies for market success. International Journal of Business and Social Science, 2(13), 1–12.
   Google Scholar
• Zadeh, L. A. (1977). The concept of a linguistic variable and its application to approximate reasoning. Information Science, 8 (3), 199–249. doi: 10.1016/0020-0255(75)90036-5
   Web of Science ®Google Scholar
• Zimmermann, H. J. (2001). Fuzzy set theory and its applications. Boston: Kluwer Nijhoff Publishing.
   Google Scholar