References
- Ackermann, F. 2012. Problem structuring methods “in the dock”: arguing the case for soft OR, European Journal of Operational Research 219(3): 652–658. https://doi.org/10.1016/j.ejor.2011.11.014
- Ackermann, F.; Andersen, D.; Eden, C.; Richardson, G. 2011. ScriptsMap: a tool for designing multimethod policy-making workshops, Omega: The International Journal of Management Science 39(4): 427–434. https://doi.org/10.1016/j.omega.2010.09.008
- Ackermann, F.; Eden, C. 2001. SODA – Journey making and mapping in practice, in J. Rosenhead, J. Mingers (Eds.). Rational analysis for a problematic world revisited: problem structuring methods for complexity, uncertainty and conflict. 2nd ed. John Wiley & Sons, Chichester, 43–60.
- Aghdaie, S.; Sanayei, A.; Etebari, M. 2012. Evaluation of the consumers’ trust effect on viral marketing acceptance based on the technology acceptance model, International Journal of Marketing Studies 48(6): 79–94. https://doi.org/10.5539/ijms.v4n6p79
- Amin, M.; Isa, Z.; Fontaine, R. 2011. The role of customer satisfaction in enhancing customer loyalty in Malaysian Islamic banks, The Service Industries Journal 31(9): 1519–1532. https://doi.org/10.1080/02642060903576076
- Amin, S.; Ahmad, U.; Hui, L. 2012. Factors contributing to customer loyalty towards telecommunication service provider, Procedia – Social and Behavioral Sciences 40: 282–286. https://doi.org/10.1016/j.sbspro.2012.03.192
- Arbore, A.; Busacca, B. 2009. Customer satisfaction and dissatisfaction in retail banking: exploring the asymmetric impact of attribute performances, Journal of Retailing and Consumer Services 16(4): 271–280. https://doi.org/10.1016/j.jretconser.2009.02.002
- Bayraktar, E.; Tatoglu, E.; Turkyilmaz, A.; Delen, D.; Zaim, S. 2012. Measuring the efficiency of customer satisfaction and loyalty for mobile phone brands with DEA, Expert Systems with Applications 39(8): 99–106. https://doi.org/10.1016/j.eswa.2011.06.041
- Belton, V.; Stewart, T. 2002. Multiple criteria decision analysis: an integrated approach. Kluwer Academic Publishers, Dordrecht. https://doi.org/10.1007/978–1-4615–1495–4
- Bobâlcă, C.; Gătej, C.; Ciobanu, O. 2012. Developing a scale to measure customer loyalty, Procedia – Economics and Finance 3: 623–628.
- Bontis, N.; Booker, L.; Serenko, A. 2007. The mediating effect of organizational reputation on customer loyalty and service recommendation in the banking industry, Management Decision 45(9): 1426–1445. https://doi.org/10.1108/00251740710828681
- Carlucci, D.; Schiuma, G.; Gavrilova, T.; Linzalone, R. 2013. A fuzzy cognitive map based approach to disclose value creation dynamics of ABIs, in Proceedings of the 8th International Forum on Knowledge Asset Dynamics (IFKAD-2013), 12–14 June 2013, Zagreb, Croatia, 207–219.
- Carvalho, J. 2013. On the semantics and the use of fuzzy cognitive maps and dynamic cognitive maps in social sciences, Fuzzy Sets and Systems 214: 6–19. https://doi.org/10.1016/j.fss.2011.12.009
- Culiberg, B.; Rojsek, I. 2010. Identifying service quality dimensions as antecedents to customer satisfaction in retail banking, Economic and Business Review 12(3): 151–166.
- Dekker, D.; Post, T. 2000. A quasi-concave DEA model with an application for bank branch performance evaluation, European Journal of Operational Research 132(2): 296–311. https://doi.org/10.1016/S0377–2217(00)00153–3
- Dhebar, A. 2013. Toward a compelling customer touchpoint architecture, Business Horizons 56(2): 199–205. https://doi.org/10.1016/j.bushor.2012.11.004
- Eden, C. 2004. Analyzing cognitive maps to help structure issues or problems, European Journal of Operational Research 159(3): 673–686. https://doi.org/10.1016/S0377–2217(03)00431–4
- Eden, C.; Ackermann, F. 2001. SODA – the principles, in J. Rosenhead, J. Mingers (Eds.). Rational analysis for a problematic world revisited: problem structuring methods for complexity, uncertainty and conflict. 2nd ed. John Wiley & Sons, Chichester, 21–41.
- Eden, C.; Ackermann, F. 2004. Cognitive mapping expert views for policy analysis in the public sector, European Journal of Operational Research 152(3): 615–630. https://doi.org/10.1016/S0377–2217(03)00061–4
- Ehigie, B. 2006. Correlates of customer loyalty to their bank: a case study in Nigeria, International Journal of Bank Marketing 24(7): 494–508. https://doi.org/10.1108/02652320610712102
- Farahani, R. 2012. Covering problems in facility location: a review, Computers and Industrial Engineering 62(1): 369–407. https://doi.org/10.1016/j.cie.2011.08.020
- Farquhar, J.; Panther, T. 2008. Acquiring and retaining customers in UK banks: an exploratory study, Journal of Retailing and Consumer Services 15(1): 9–21. https://doi.org/10.1016/j.jretconser.2007.02.001
- Ferreira, F.; Jalali, M.; Ferreira, J.; Stankevičienė, J.; Marques, C. 2015a. Understanding the dynamics behind bank branch service quality in Portugal: pursuing a holistic view using fuzzy cognitive mapping, Service Business, AOP 21 April. https://doi.org/10.1007/s11628–015–0278-x
- Ferreira, F.; Jalali, M.; Meidutė-Kavaliauskienė, I.; Viana, B. 2015b. A metacognitive decision making based-approach to bank customer loyalty measurement and management, Technological and Economic Development of Economy 21(2): 280–300. https://doi.org/10.3846/20294913.2014.981764
- Ferreira, F.; Santos, S.; Rodrigues, P. 2011. Adding value to branch performance evaluation using cognitive maps and MCDA: a case study, Journal of the Operational Research Society 62(7): 1320–1333. https://doi.org/10.1057/jors.2010.111
- Ferreira, F.; Santos, S.; Rodrigues, P.; Spahr, R. 2014. How to create indices for bank branch financial performance measurement using MCDA techniques: an illustrative example, Journal of Business Economics and Management 15(4): 708–728. https://doi.org/10.3846/16111699.2012.701230
- Ferreira, F.; Spahr, R.; Santos, S.; Rodrigues, P. 2012. A multiple criteria framework to evaluate bank branch potential attractiveness, International Journal of Strategic Property Management 16(3): 254–276. https://doi.org/10.3846/1648715X.2012.707629
- Filipe, M.; Ferreira, F.; Santos, S. 2015. A multiple criteria information system for pedagogical evaluation and professional development of teachers, Journal of the Operational Research Society 66(11): 1769–1782. https://doi.org/10.1057/jors.2014.129
- Garland, R.; Gendall, P. 2004. Testing Dick and Basu’s customer loyalty model, Australasian Marketing Journal 12(3): 81–87. https://doi.org/10.1016/S1441–3582(04)70108–1
- Gavrilova, T.; Carlucci, D.; Schiuma, G. 2013. Art of visual thinking for smart business education, in Proceedings of the 8th International Forum on Knowledge Asset Dynamics (IFKAD-2013), 12–14 June 2013, Zagreb, Croatia, 1754–1751.
- Hartman, T.; Storbeck, J.; Byrnes, P. 2001. Allocative efficiency in branch banking, European Journal of Operational Research 134(2): 232–242. https://doi.org/10.1016/S0377–2217(00)00257–5
- Howcroft, J. 2006. Customer satisfaction in retail banking, The Service Industries Journal 11(1): 11–17. https://doi.org/10.1080/02642069100000002
- Hsieh, N. 2004. An integrated data mining and behavioral scoring model for analyzing bank customers, Expert Systems with Applications 27(4): 623–633. https://doi.org/10.1016/j.eswa.2004.06.007
- Jalali, M.; Ferreira, F.; Ferreira, J.; Meidutė-Kavaliauskienė, I. 2016. Integrating metacognitive and psychometric decision-making approaches for bank customer loyalty measurement, International Journal of Information Technology and Decision Making 15(4): 815–837. https://doi.org/10.1142/S0219622015500236
- Kardaras, D.; Mentzas, G. 1997. Using fuzzy cognitive maps to model and analyse business performance assessment, in Proceedings of the 2nd Annual International Conference on Industrial Engineering Applications and Practice II, 12–15 November 1997, San Diego, California, USA, 63–64.
- Kim, H.; Lee, K. 1998. Fuzzy implications of fuzzy cognitive map with emphasis on fuzzy causal relationship and fuzzy partially causal relationship, Fuzzy Sets and Systems 97(3): 303–313. https://doi.org/10.1016/S0165–0114(96)00349–1
- Kok, K. 2009. The potential of fuzzy cognitive maps for semi-quantitative scenario development, with an example from Brazil, Global Environmental Change 19(1): 122–133. https://doi.org/10.1016/j.gloenvcha.2008.08.003
- Kosko, B. 1986. Fuzzy cognitive maps, International Journal of Man-Machine Studies 24(1): 65–75. https://doi.org/10.1016/S0020–7373(86)80040–2
- Kosko, B. 1992. Neural networks and fuzzy systems. Prentice-Hall, New Jersey.
- Kowalski, T.; Shachmurove, Y. 2011. The financial crisis: what is there to learn?, Global Finance Journal 22(3): 238–247. https://doi.org/10.1016/j.gfj.2011.10.014
- Lee, H.; Chulhyun, K. 2014. Benchmarking of service quality with data envelopment analysis, Expert Systems with Applications 41(8): 3761–3768. https://doi.org/10.1016/j.eswa.2013.12.008
- Lee, P.; Cheng, T.; Yeung, A.; Lai, K. 2011. An empirical study of transformational leadership, team performance and service quality in retail banks, Omega: The International Journal of Management Science 39(6): 690–701.
- Lee, W.; Chang, C.; Liu, Y. 2010. Exploring customers’ store loyalty using the means-end chain approach, Journal of Retailing and Consumer Services 17(5): 395–405. https://doi.org/10.1016/j.jretconser.2010.04.001
- Manrai, L.; Manrai, A. 2007. A field study of customers’ switching behavior for bank services, Journal of Retailing and Consumer Services 14(3): 208–215. https://doi.org/10.1016/j.jretconser.2006.09.005
- Martin, W.; Ponder, N.; Lueg, J. 2009. Price fairness perceptions and customer loyalty in a retail context, Journal of Business Research 62(6): 588–593. https://doi.org/10.1016/j.jbusres.2008.05.017
- Mazlack, L. 2009. Representing causality using fuzzy cognitive maps, in Proceedings of the Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS-2009), 14–17 June 2009, Cincinnati, Ohio, USA, 1–6. https://doi.org/10.1109/nafips.2009.5156434
- Mihelis, G.; Grigoroudis, E.; Siskos, Y.; Politis, Y.; Malandrakis, Y. 2001. Customer satisfaction measurement in the private bank sector, European Journal of Operational Research 130(2): 347–360. https://doi.org/10.1016/S0377–2217(00)00036–9
- Minami, C.; Dawson, J. 2008. The CRM process in retail and service sector firms in Japan: loyalty development and financial return, Journal of Retailing and Consumer Services 15(5): 375–385. https://doi.org/10.1016/j.jretconser.2007.09.001
- Nadiria, H.; Kandampully, J.; Hussain, K. 2009. Zone of tolerance for banks: a diagnostic model of service quality, The Service Industries Journal 29(11): 1547–1564. https://doi.org/10.1080/02642060902793425
- Pan, Y.; Sheng, S.; Xie, F. 2012. Antecedents of customer loyalty: an empirical synthesis and reexamination, Journal of Retailing and Consumer Services 19(9): 150–158. https://doi.org/10.1016/j.jretconser.2011.11.004
- Papageorgiou, E.; Roo, J.; Huszka, C.; Colaert, D. 2012. Formalization of treatment guidelines using fuzzy cognitive maps and semantic web tools, Journal of Biomedical Informatics 45(1): 45–60. https://doi.org/10.1016/j.jbi.2011.08.018
- Salinas, U.; Schinzano, A. 2014. The factors of the bank customer (dis)loyalty in portfolio choices, Procedia – Economics and Finance 17: 192–201.
- Salmeron, J. 2009. Augmented fuzzy cognitive maps for modelling LMS critical success factors, Knowledge-Based Systems 22(4): 275–278. https://doi.org/10.1016/j.knosys.2009.01.002
- Salmeron, J. 2012. Fuzzy cognitive maps for artificial emotions forecasting, Applied Soft Computing 12(12): 3704–3710. https://doi.org/10.1016/j.asoc.2012.01.015
- Serna, R. 2005. Where are the bank branches in my community? An analysis of branch distribution in low-income neighborhoods. California reinvestment coalition report [online], [cited 10 February 2015]. Available from Internet: https://www.centralvalleybusinesstimes.com/links/CRC_bank_branch_analysis.pdf
- Stach, W.; Kurgan, L.; Pedrycz, W. 2010. A divide and conquer method for learning large fuzzy cognitive maps, Fuzzy Sets and Systems 161(19): 2515–2532. https://doi.org/10.1016/j.fss.2010.04.008
- Stach, W.; Kurgan, L.; Pedrycz, W.; Reformat, M. 2005. Genetic learning of fuzzy cognitive maps, Fuzzy Sets and Systems 153(3): 371–401. https://doi.org/10.1016/j.fss.2005.01.009
- Stylios, C.; Groumpos, P. 1999. Fuzzy cognitive maps: a model for intelligent supervisory control systems, Computers in Industry 39(3): 229–238. https://doi.org/10.1016/S0166–3615(98)00139–0
- Tsadiras, A.; Kouskouvelis, I.; Margaritis, K. 2003. Using fuzzy cognitive maps as a decision support system for political decisions, in Proceedings of the 8th Panhellenic Conference on Informatics (PCI-2001), 8–10 November 2001, Nicosia, Cyprus, 172–182. https://doi.org/10.1007/3–540–38076–0_12
- Vesel, P.; Zabkar, V. 2009. Managing customer loyalty through the mediating role of satisfaction in the DIY retail loyalty program, Journal of Retailing and Consumer Services 16(5): 396–406. https://doi.org/10.1016/j.jretconser.2009.05.002
- Xue, X.; Ji, Y.; Li, L.; Shen, Q. 2010. Cognition driven framework for improving collaborative working in construction projects: negotiation perspective, Journal of Business Economics and Management 11(2): 227–242. https://doi.org/10.3846/jbem.2010.11
- Yaman, D.; Polat, S. 2009. A fuzzy cognitive map approach for effect-based operations: an illustrative case, Information Sciences 179(4): 382–403. https://doi.org/10.1016/j.ins.2008.10.013
- Yoo, M.; Bai, B. 2013. Customer loyalty marketing research: a comparative approach between hospitality and business journals, International Journal of Hospitality Management 33(3): 166–177. https://doi.org/10.1016/j.ijhm.2012.07.009
- Yoon, Y.; Lee, J.; Lee, C. 2010. Measuring festival quality and value affecting visitors’ satisfaction and loyalty using a structural approach, International Journal of Hospitality Management 29(2): 335–342. https://doi.org/10.1016/j.ijhm.2009.10.002