Leveraging Ethics to Expand Islamic Banks’ Customer Base: a Fuzzy Agent-Based Modeling Approach

Authors

  • Mohamed Wail Aaminou Islamic Financial Engineering Laboratory (IFE LAB), Laboratoire d'Etude et de Recherche en Mathématiques Appliquées (LERMA), Ecole Mohammadia d’Ingénieurs, Mohammed V University (Rabat, Morocco)
  • Rajae Aboulaich Islamic Financial Engineering Laboratory (IFE LAB), Laboratoire d'Etude et de Recherche en Mathématiques Appliquées (LERMA), Ecole Mohammadia d’Ingénieurs, Mohammed V University (Rabat, Morocco)

Keywords:

Islamic Banks, Multi-Agent Simulation, Fuzzy logic, Ethics, information asymmetry

Abstract

This paper aims to model the dynamics of a banking market featuring two Islamic and one conventional bank. Both Islamic banks opt to differentiate by focusing on Corporate Social Responsibility (CSR) as a lever to attract clients sensitive to ethics. One of them pursues a genuine CSR strategy by investing in serious CSR programs while the other does not honor its CSR engagement by pursuing actions with no or negative societal impact and by taking advantage of information asymmetry. To build the consumers’ decision function, we use fuzzy logic, a diffusion model to capture information spread amongst agents, and learning and contagion models to simulate peers' influence on the decision making process. We run simulations on Netlogo and analyze results. Our findings indicate that while the "rhetoric" bank can thrive in markets characterized by information asymmetry and by clients with heterogeneous attitudes towards ethics, the genuinely engaged bank needs not only to educate consumers about its ethical involvement, but also to heavily leverage communication as a means to increase market share.

Author Biographies

Mohamed Wail Aaminou, Islamic Financial Engineering Laboratory (IFE LAB), Laboratoire d'Etude et de Recherche en Mathématiques Appliquées (LERMA), Ecole Mohammadia d’Ingénieurs, Mohammed V University (Rabat, Morocco)

Ph.D Candidate

Rajae Aboulaich, Islamic Financial Engineering Laboratory (IFE LAB), Laboratoire d'Etude et de Recherche en Mathématiques Appliquées (LERMA), Ecole Mohammadia d’Ingénieurs, Mohammed V University (Rabat, Morocco)

Head of Islamic Financial Engineering Laboratory (IFE LAB)

References

• AL-SUWAILEM, S. 2012. Towards an objective measure of gharar in exchange. Journal of Islamic Business and Management, 2.

• ARIELY, D. & JONES, S. 2008. Predictably irrational, HarperCollins New York.

• ARIELY, D. & JONES, S. 2010. The upside of irrationality: The unexpected benefits of defying logic at work and at home, Harper New York.

• ASUTAY, M. 2007. Conceptualisation of the second best solution in overcoming the social failure of Islamic finance: Examining the overpowering of homoislamicus by homoeconomicus. IIUM Journal in Economics and Management, 15, 167-195.

• ASUTAY, M. 2012. Conceptualising and locating the social failure of Islamic Finance: aspirations of Islamic moral economy vs. the realities of Islamic finance. Asian and African Area Studies, 11, 93-113.

• AXELROD, R. 2000. On six advances in cooperation theory. Analyse & Kritik, 22, 130-151.

• AXELROD, R. & HAMILTON, W. D. 1981. The evolution of cooperation. Science, 211, 1390-1396.

• AYUB, M. 2009. Understanding Islamic Finance, John Wiley & Sons.

• BASS, F. 1969. A New Product Growth Model for Consumer Durables. Management Sciences. Institute for Operations Research and the Management Sciences. Evanston, XV (5).

• CASTALDO, S., PERRINI, F., MISANI, N. & TENCATI, A. 2009. The missing link between corporate social responsibility and consumer trust: The case of fair trade products. Journal of Business Ethics, 84, 1-15.

• CHEN, Y.-S. & CHANG, C.-H. 2012. Enhance green purchase intentions: The roles of green perceived value, green perceived risk, and green trust. Management Decision, 50, 502-520.

• CHILDERS, T. L. & RAO, A. R. 1992. The influence of familial and peer-based reference groups on consumer decisions. Journal of consumer research, 198-211.

• CHONG, B. S. & LIU, M.-H. 2009. Islamic banking: interest-free or interest-based? Pacific-Basin Finance Journal, 17, 125-144.

• EL-GAMAL, M. A. 2001. An economic explication of the prohibition of gharar in classical Islamic jurisprudence. Islamic Economic Studies, 8, 29-58.

• EL QORCHI, M. 2005. Islamic finance gears up. Finance and Development, 42, 46.

• FAROOQ, M. O. 2011. Self-Interest, Homo Islamicus and Some Behavioral Assumptions in Islamic Economics and Finance. International Journal of Excellence in Islamic Banking and Finance, 1, 52-79.

• GEORGOULAS, S., MOESSNER, K., MANSOUR, A., PISSARIDES, M. & SPAPIS, P. 2012. A fuzzy reinforcement learning approach for pre-congestion notification based admission control. Dependable Networks and Services. Springer.

• GRIFFITHS, N., CHAO, K.-M. & YOUNAS, M. Fuzzy trust for peer-to-peer systems. Distributed Computing Systems Workshops, 2006. ICDCS Workshops 2006. 26th IEEE International Conference on, 2006. IEEE, 73-73.

• GUÉRANGER, F. 2009. Finance islamique: une illustration de la finance éthique, Dunod.

• HANIFFA, R. & HUDAIB, M. 2007. Exploring the ethical identity of Islamic banks via communication in annual reports. Journal of Business Ethics, 76, 97-116.

• HASSAN, A. & SALMA BINTI ABDUL LATIFF, H. 2009. Corporate social responsibility of Islamic financial institutions and businesses: Optimizing charity value. Humanomics, 25, 177-188.

• HOTELLING, H. 1929. Stability in competition, Economic Journal.

• IZQUIERDO, L. R., OLARU, D., IZQUIERDO, S. S., PURCHASE, S. & SOUTAR, G. N. 2015. Fuzzy Logic for Social Simulation using NetLogo. Journal of Artificial Societies and Social Simulation.

• JANSSEN, M. A. & OSTROM, E. 2006. Empirically based, agent-based models. Ecology and Society, 11, 37.

• KEMPE, D., KLEINBERG, J. & TARDOS, É. Maximizing the spread of influence through a social network. Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, 2003. ACM, 137-146.

• LEE, E. M., PARK, S.-Y., RAPERT, M. I. & NEWMAN, C. L. 2012. Does perceived consumer fit matter in corporate social responsibility issues? Journal of Business Research, 65, 1558–1564.

• LEE, K.-H. & SHIN, D. 2010. Consumers’ responses to CSR activities: The linkage between increased awareness and purchase intention. Public Relations Review, 36, 193-195.

• MAALI, B., CASSON, P. & NAPIER, C. 2006. Social reporting by Islamic banks. Abacus, 42, 266-289.

• MACAL, C. M. & NORTH, M. J. 2010. Tutorial on agent-based modelling and simulation. Journal of Simulation, 4, 151-162.

• MAHAJAN, V., MULLER, E. & BASS, F. M. 1990. New product diffusion models in marketing: A review and directions for research. The journal of marketing, 1-26.

• MARIMUTHU, M., WAI JING, C., PHEI GIE, L., PEY MUN, L. & YEW PING, T. 2010. Islamic banking: selection criteria and implications. Global Journal of Human-Social Science Research, 10.

• MARTÃNEZ, P. & DEL BOSQUE, I. R. 2013. CSR and customer loyalty: The roles of trust, customer identification with the company and satisfaction. International Journal of Hospitality Management, 35, 89-99.

• MENDEL, J. M. 1995. Fuzzy logic systems for engineering: a tutorial. Proceedings of the IEEE, 83, 345-377.

• MOHD NOR, S. 2012. Integrating moral in a dynamic model of corporate social responsibility in Islamic Economics and Finance.

• MORGENSTERN, O. & VON NEUMANN, J. 1953. Theory of games and economic behavior.

• NAZIM, A. & BENNIE, G. 2012. World Islamic Banking Competitiveness Report 2012–2013. Ernst & Young 2012,(December).

• PRASAD, A. & HOLZINGER, I. 2013. Seeing through smoke and mirrors: A critical analysis of marketing CSR. Journal of Business Research, 66, 1915-1921.

• RAHMAN, R. A. & SAIMI, N. S. 2015. Determinants of ethical identity disclosure among Malaysian and Bahrain Islamic banks. Ethics, Governance and Regulation in Islamic Finance, 9.

• REUTERS, T. 2014. State of the global Islamic economy. Thomson Reuters 2014 Report.

• SALOP, S. C. 1979. Monopolistic competition with outside goods. The Bell Journal of Economics, 141-156.

• SCHELLING, T. C. 1971. Dynamic models of segregation†. Journal of mathematical sociology, 1, 143-186.

• SKOWRONSKI, J. J. & CARLSTON, D. E. 1989. Negativity and extremity biases in impression formation: A review of explanations. Psychological bulletin, 105, 131.

• TRUDEL, R. & COTTE, J. 2009. Does it pay to be good. MIT Sloan Management Review, 50, 61-68.

• WAJDI DUSUKI, A. & IRWANI ABDULLAH, N. 2007. Why do Malaysian customers patronise Islamic banks? International Journal of Bank Marketing, 25, 142-160.

• ZIMMERMANN, H.-J. 2001. Fuzzy set theory—and its applications, Springer Science & Business Media.

Downloads

Published

2016-06-16

How to Cite

Aaminou, M. W., & Aboulaich, R. (2016). Leveraging Ethics to Expand Islamic Banks’ Customer Base: a Fuzzy Agent-Based Modeling Approach. Asian Journal of Applied Sciences, 4(3). Retrieved from https://www.ajouronline.com/index.php/AJAS/article/view/3761

Issue

Section

Articles

Most read articles by the same author(s)