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Original Articles

Strategizing sustainability in the banking industry using fuzzy cognitive maps and system dynamics

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Pages 93-108 | Received 02 May 2020, Accepted 10 Jun 2020, Published online: 26 Jun 2020
 

ABSTRACT

Sustainable banking is an issue that has been growing in importance around the world since the 2008 global crisis. Because the banking system is a major economic and financial intermediary, it has a significant impact on diverse stakeholders. In this context, understanding the determinants of long-term survival of the banking industry appears to be important to ensuring sustainable banking. Based on a constructivist stance, this study sought to identify sustainability strategies in the banking industry through a combination of fuzzy cognitive mapping (FCM) and the system dynamics (SD) approach. The main goal is to develop an easily understood model of sustainable banking to help decision makers analyze the dynamics of the cause-and-effect relationships between determinants of sustainable banking and project long-term scenarios. The insights obtained were derived from two group sessions with a panel of decision makers who deal with banking processes on a daily basis and were validated by the Director of the technical unit for sustainability of Millennium BCP, one of the largest banking corporations in Portugal. Static and dynamic analyses were also carried out, the results of which support the study’s main conclusions and reinforce the relevance of the proposed dual methodology.

Acknowledgments

The authors gratefully acknowledge the superb contribution and knowledge sharing of the panel members: Bruno de Jesus, Catarina Martins, Elisabete Reis, João Rosa, Pedro Barbosa e Tiago Carvalho. The authors are also grateful to José Paulo Neves, Director of the technical unit for sustainability of Millennium BCP, one of the largest banking corporations in Portugal, for his availability and the important insights he provided during the consolidation of results phase.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was partially funded by the Portuguese Foundation for Science and Technology [Grant UID/GES/00315/2019]. Records of the expert panel meetings, including pictures, software output and non-confidential information of the study, can be obtained from the corresponding author upon request.

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