276
Views
37
CrossRef citations to date
0
Altmetric
Original Articles

A metacognitive decision making based-framework for bank customer loyalty measurement and management

, , &
Pages 280-300 | Received 03 Dec 2013, Accepted 20 Dec 2013, Published online: 04 Mar 2015
 

Abstract

Bank customer loyalty is becoming a priority concern for banking institutions, as a means of gradually increasing complementary margins and eliminating the lack of liquidity caused by the current economic climate. Following a top down process, this focus culminates at the branch level, where banks’ front office employees are seen as a driving-force for building customer loyalty. At the same time, however, the difficulty in identifying and operationalizing the factors or determinants that most contribute to creating and maintaining bank customer loyalty has long been recognized. In this sense, based on the integrated use of cognitive maps and measuring attractiveness by a categorical based evaluation technique (MACBETH), this study proposes a multiple criteria framework for bank customer loyalty measurement and management. The results show that our framework allows bank customers with higher rates of customer loyalty to be identified and, from a benchmarking perspective, indicates what best practices should be followed to boost long-term relationships. Implications for scholars and practitioners are discussed.

JEL Classification:

Additional information

Notes on contributors

Fernando A. F. Ferreira

Fernando A. F. FERREIRA is an Assistant Professor at the ISCTE Business School of the University Institute of Lisbon, and an Adjunct Research Professor at the Fogelman College of Business and Economics of the University of Memphis, TN, USA. He holds a PhD in Quantitative Methods Applied to Economics and Management from the University of Algarve, Portugal. Some of his articles are published by ISI-listed journals such as Journal of the Operational Research Society, Management Decision, International Entrepreneurship and Management Journal, and International Journal of Strategic Property Management. He has practical experience as group facilitator and his research interests include multiple criteria decision analysis, fuzzy logics and integrated systems for performance measurement.

Marjan S. Jalali

Marjan S. JALALI is an Assistant Professor at the ISCTE Business School of the University Institute of Lisbon, and researcher at the Business Research Center (BRU-IUL), Portugal. She holds a PhD in Management from the University of Sydney, Australia. She is editorial board member of the Global Business and Economics Review, managing editor of the International Journal of Management Science and Information Technology, and some of her works have been published nationally and internationally. Her research interests include multiple criteria decision analysis, strategic decision making and consumer behavior.

Ieva Meidutė-Kavaliauskienė

Ieva MEIDUTĖ-KAVALIAUSKIENĖ is an Associate Professor and Vice-Dean at the Faculty of Business Management of the Vilnius Gediminas Technical University, Lithuania. She holds a PhD in Technological Science from the Vilnius Gediminas Technical University. She has authored peer-reviewed papers and some of her works have been presented and published nationally and internationally. She is editorial board member of several international journals and her research interests include logistics and operations management.

Bianca A. C. P. Viana

Bianca A. C. P. VIANA is a bank analyst who works at Caixa Geral de Depósitos (one of the top-five banks in Portugal). Her research interests include marketing, decision making and consumer behavior. Some of her works have been presented in national and international conferences.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.