Neuro-economics and Strategic Decisions: The Impact on Financial Sustainability of Multinational Enterprises
Neuroeconomía y Decisiones Estratégicas: El Impacto en las Finanzas Sostenibilidad de Empresas Multinacionales
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More than ever, engaging a multidisciplinary approach in decision-making displays an arsenal of
capacity necessary for success across managerial concerns in all sectors of the economy. Psychology and
economics capturing human behaviors form part of this interdisciplinary research that spans the years though
many are far from this reality. The paper shows the impact of neuro-economics on strategic financial
decisions in multinational enterprises deploying theories of decisions, utility, and expectations across MNCs
in the media industry in Nigeria while addressing the effects of emotions affecting advertising outcomes and
branding, and financial decisions building the theoretical framework from resources from Google Scholar and
Scopus search engines. Utilizing five MNCs as a sample in a population of 15 registered media firms in
Nigeria, the study uses grounded theory methodology and focus group discussions to uncover the reality of
emotional influence on strategic decisions and multiple regression analysis to test for the statistical
significance of independent variables on the dependent variable. The output shows that neuro-economics
contributes significantly to all economic decision-making in all sectors, including the media industry.
Although research generalization is challenging due to economic variations in different markets, the report
posts resourceful information for policy-making decisions, productivity, and wealth creation.
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Allen, D. (1977). A Review of Process Theories of Decision Making. Sage Journals. https://doi.org/10.1177/135050767700800204.
Bashir, S., Mir, A., Altwaijri, N., Uzair, M., Khalil, A., Besher, R., ... & Abualait, T. (2023). Neuroeconomics of decision-making during COVID-19 pandemic. Heliyon. 9. https://doi.org/10.1016/j.heliyon.2023.e13252.
Bossaerts, P., & Murawski, C. (2015). From behavioural economics to neuroeconomics to decision neuroscience: the ascent of biology in research on human decision making. Current Opinion in Behavioral Sciences, 5, 37- 42.
Collins, J. M. (2012). Financial advice: a substitute for financial literacy? Finance Service. 21, 307–322. https://10.2139/ssrn.2046227.
Doyle, G. (2002). Understanding Media Economics. Mass Communication, Media Policy & Regulation, Cultural Studies. Sage Publications Limited. http://dx.doi.org/10.4135/9781446279960.
Frees, E. (2004). Longitudinal and panel data: Analysis and applications in the social sciences. New York, USA: Cambridge University Press.
Friedman, M., & Savage, L. J. (1948). The utility analysis of choices involving risk. Journal of political Economy, 56(4), 279-304.
Gerlach, P. (2017). The Games Economists Play: Why Economics Students Behave More Selfishly than Other Students. PLoS One 12: e0183814. https://10.1371/ journalpone.0183814
Glimcher, P. W., & Rustichini, A. (2004). Neuroeconomics: the consilience of brain and decision. Science, 306(5695), 447- 452.
Harlen, C. M. (1999). A reappraisal of classical economic nationalism and economic liberalism. International Studies Quarterly, 43(4), 733-744. https://doi.org/10.1111/0020-8833.00143.
Haselhuhn, M. P., Pope, D. G., Schweitzer, M. E., & Fishman, P. (2012). The impact of personal experience on behavior: Evidence from video-rental fines. Management Science, 58(1), 52-61.
Henderson, H. V., & Velleman, P. F. (1981). Building multiple regression models interactively. Biometrics, 391- 411. https://doi.org/10.2307/2530428.
Kelley, K., & Bolin, J. H. (2013). Multiple regression. In Handbook of quantitative methods for educational research (pp. 69-101). Brill.
Khan, S. N. (2014). Qualitative research method: Grounded theory. International journal of business and management, 9(11), 224-233.
Kumar, S., Gorodnichenko, Y., & Coibion, O. (2022). The effect of macroeconomic uncertainty on firm decisions (No. w30288). National Bureau of Economic Research. DOI 10.3386/w30288.
Meyer, K. E., Van Witteloostuijn, A., & Beugelsdijk, S. (2017). What’s in ap? Reassessing best practices for conducting and reporting hypothesis-testing research. Journal of International Business Studies, 48, 535-551.
Pekrun, R. (2011). Emotions as drivers of learning and cognitive development. New perspectives on affect and learning technologies, 23-39.
Petracca, E. (2020). Neuroeconomics beyond the brain: some externalist notions of choice. Journal of Economic Methodology, 27(4), 275-291. https://doi.org/10.1080/1350178X.2020.1789690.
Phelps, E. A. (2009). The study of emotion in neuroeconomics. In Neuroeconomics (pp. 233-250). Academic Press. https://doi.org/10.1016/B978-0-12-374176-9.00016-6.
Platt, M. L., & Huettel, S. A. (2008). Risky business: the neuroeconomics of decision making under uncertainty. Nature neuroscience, 11(4), 398-403.
Promberger, M., & Marteau, T. M. (2013). When do financial incentives reduce intrinsic motivation? comparing behaviors studied in psychological and economic literatures. Health Psychology, 32(9), 950.
Robertson, L. T. (2002). Memory and the brain. Journal of Dental Education, 66(1), 30-42.
Rostomyan, A. (2015). The impact of emotions on decision making process in the field of Neuroeconomics. Journal of Business and Economics, 6(7), 1268-1276. DOI: 10.15341/jbe(2155-7950)/07.06.2015/003.
Sanfey, A. (2007). Social Decision-Making: Insights from Game Theory and Neuroscience. Science. 318. Received from: https://www.sciencemag.org/
Sanfey, A. G., Loewenstein, G., McClure, S. M., & Cohen, J. D. (2006). Neuroeconomics: cross-currents in research on decision-making. Trends in cognitive sciences, 10(3), 108-116.
Sargent, T. (2021). Rational Expectation. The Library of Economics and Liberty. Received from: https://www.econlib.org/library/Enc/RationalExpectations.html.
Shi, G., & Wang, Q. (2019). The application of utility theory in the making-decision of marketing risk management. In International Academic Conference on Frontiers in Social
Simon, H. (1959). Theories of Decision-Making in Economics and Behavioral Science. The American Review. XLIX, 3.
Takemura, K. (2014). Behavioral decision theory. Psychological and mathematical descriptions of human choice behavior: Springer Japan.
Volk, Stefan & Becker, William (2014). How Insights from Neuro-economics can Inform Organizational Research: The Case of Prosocial Organizational Behavior. Schmalenbach Business Review. 66(65). https://link.springer.com/article/10.1007/BF03396919
