Digital Dopamine Economy : Kerangka Konseptual Neuroperilaku untuk Memahami Perilaku Finansial di Era Fintech
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Abstract
The rise of digital technology has reshaped the landscape of financial behavior, particularly through the integration of features such as e-wallets, cashback incentives, and gamification within financial applications. These developments indicate that financial decision-making is no longer driven solely by rational processes, as assumed in the Homo Economicus model, but is increasingly influenced by emotional and neurological mechanisms aligned with the Homo Psychologicus perspective. This study explores the relationship between the brain's dopaminergic system and digital stimuli that contribute to impulsive financial behavior in the fintech era, drawing from neuroeconomics, behavioral finance, and digital economics. Employing a narrative literature review method, the analysis synthesizes insights from multidisciplinary scholarly sources. The findings are organized into four central themes: the role of dopamine in reward processing and risk-taking, the impact of digital triggers such as notifications and flash sales, and moderating factors including personality traits, financial literacy, and Generation Z characteristics. The study proposes a conceptual framework of “Digital Dopamine Economy” to explain the interplay between external digital stimuli and internal neurobehavioral responses. Its primary contribution lies in advancing a theoretical model that bridges disciplines and offers a foundation for future empirical research and neuroscience-informed financial literacy initiatives.
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References
J. S. Mill, “Essays on some unsettled Questions of Political Economy,” 1844, Accessed: Aug. 14, 2025. [Online]. Available: https://portal.fiskal.kemenkeu.go.id/pustaka/index.php?p=fstream-pdf&fid=2492&bid=5833
F. Y. Edgeworth, Mathematical psychics: an essay on the application of mathematics to the moral sciences. London: C. Kegan Paul, 1881. Accessed: Aug. 15, 2025. [Online]. Available: https://archive.org/details/mathematicalpsyc00edgeuoft
V. Pareto, Manual of Political Economy (English translation). Milan: Societa Editrice Libraria, 1906. Accessed: Aug. 15, 2025. [Online]. Available: https://api.pageplace.de/preview/DT0400.9780191650635_A23595287/preview-9780191650635_A23595287.pdf
H. A. Simon, Models of man: Social and rational. New York: Hohn Wiley & Sons, inc., 1957. Accessed: Aug. 16, 2025. [Online]. Available: https://archive.org/details/modelsofman0000herb/page/n5/mode/2up
D. Kahneman and A. Tversky, “Prospect Theory: An Analysis of Decision under Risk,” Econometrica, vol. 47, no. 2, p. 263, Mar. 1979, doi: 10.2307/1914185.
M. Srivastava, G. D. Sharma, and A. K. Srivastava, “Human brain and financial behavior: a neurofinance perspective,” IJOES, vol. 35, no. 4, pp. 485–503, Nov. 2019, doi: 10.1108/IJOES-02-2019-0036.
A. Konovalov and I. Krajbich, “Over a Decade of Neuroeconomics: What Have We Learned?,” Organizational Research Methods, vol. 22, no. 1, pp. 148–173, Jan. 2019, doi: 10.1177/1094428116644502.
W. Schultz, “Predictive Reward Signal of Dopamine Neurons,” Journal of Neurophysiology, vol. 80, no. 1, pp. 1–27, July 1998, doi: 10.1152/jn.1998.80.1.1.
J. A. Beeler and D. Mourra, “To Do or Not to Do: Dopamine, Affordability and the Economics of Opportunity,” Front. Integr. Neurosci., vol. 12, p. 6, Feb. 2018, doi: 10.3389/fnint.2018.00006.
K. E. Stanovich and R. F. West, “Individual differences in reasoning: Implications for the rationality debate?,” Behav Brain Sci, vol. 23, no. 5, pp. 645–665, Oct. 2000, doi: 10.1017/S0140525X00003435.
R. H. Thaler, C. R. Sunstein, and J. P. Balz, “Choice Architecture,” SSRN Journal, 2014, doi: 10.2139/ssrn.2536504.
E. A. Miendlarzewska, M. Kometer, and K. Preuschoff, “Neurofinance,” Organizational Research Methods, vol. 22, no. 1, pp. 196–222, Jan. 2019, doi: 10.1177/1094428117730891.
C. Le Heron et al., “Dopamine Modulates Dynamic Decision-Making during Foraging,” J. Neurosci., vol. 40, no. 27, pp. 5273–5282, July 2020, doi: 10.1523/JNEUROSCI.2586-19.2020.
S. Bellini and S. Aiolfi, “Impulse buying behavior: the mobile revolution,” IJRDM, vol. 48, no. 1, pp. 1–17, Sept. 2019, doi: 10.1108/IJRDM-12-2018-0280.
J. D. Salamone, M. Correa, J.-H. Yang, R. Rotolo, and R. Presby, “Dopamine, Effort-Based Choice, and Behavioral Economics: Basic and Translational Research,” Front. Behav. Neurosci., vol. 12, p. 52, Mar. 2018, doi: 10.3389/fnbeh.2018.00052.
M. E. Walton and S. Bouret, “What Is the Relationship between Dopamine and Effort?,” Trends in Neurosciences, vol. 42, no. 2, pp. 79–91, Feb. 2019, doi: 10.1016/j.tins.2018.10.001.
M. Yun, T. Kawai, M. Nejime, H. Yamada, and M. Matsumoto, “Signal dynamics of midbrain dopamine neurons during economic decision-making in monkeys,” Sci. Adv., vol. 6, no. 27, p. eaba4962, July 2020, doi: 10.1126/sciadv.aba4962.
S. I. Djamhari, M. D. Mustika, B. Sjabadhyni, and A. R. P. Ndaru, “Impulsive buying in the digital age: investigating the dynamics of sales promotion, FOMO, and digital payment methods,” Cogent Business & Management, vol. 11, no. 1, p. 2419484, Dec. 2024, doi: 10.1080/23311975.2024.2419484.
T.-Q. Dang, L.-T. Nguyen, and D. T. V. Duc, “Impulsive Buying and Compulsive Buying in Social Commerce: An Integrated Analysis using the Cognitive-Affective-Behavior Model and Theory of Consumption Values with PLS-SEM,” SAGE Open, vol. 15, no. 2, p. 21582440251334215, Apr. 2025, doi: 10.1177/21582440251334215.
J. Gathergood, “Self-control, financial literacy and consumer over-indebtedness,” Journal of Economic Psychology, vol. 33, no. 3, pp. 590–602, June 2012, doi: 10.1016/j.joep.2011.11.006.
S. Pangestu and E. B. Karnadi, “The effects of financial literacy and materialism on the savings decision of generation Z Indonesians,” Cogent Business & Management, vol. 7, no. 1, p. 1743618, Jan. 2020, doi: 10.1080/23311975.2020.1743618.
A. R. Hatta, A. Miesvontoko, and D. Hidayat, “The influence of TikTok daily reward gamification and social presence on impulsive buying behavior: The mediating role of emotional arousal on social commerce platforms,” 2576-8484, vol. 9, no. 7, pp. 383–393, July 2025, doi: 10.55214/25768484.v9i7.8587.
C. L. Poisson, L. Engel, and B. T. Saunders, “Dopamine Circuit Mechanisms of Addiction-Like Behaviors,” Front. Neural Circuits, vol. 15, p. 752420, Nov. 2021, doi: 10.3389/fncir.2021.752420.
Y. Y. Lee, C. L. Gan, and T. W. Liew, “The Impacts of Mobile Wallet App Characteristics on Online Impulse Buying: A Moderated Mediation Model,” Human Behavior and Emerging Technologies, vol. 2022, pp. 1–15, Sept. 2022, doi: 10.1155/2022/2767735.
Y. Lina, D. Hou, and S. Ali, “Impact of online convenience on generation Z online impulsive buying behavior: The moderating role of social media celebrity,” Front. Psychol., vol. 13, p. 951249, Aug. 2022, doi: 10.3389/fpsyg.2022.951249.
M. Srivastava, G. D. Sharma, A. K. Srivastava, and S. S. Kumaran, “What’s in the brain for us: a systematic literature review of neuroeconomics and neurofinance,” QRFM, vol. 12, no. 4, pp. 413–435, Oct. 2020, doi: 10.1108/QRFM-10-2019-0127.
P. Koundouri, B. Hammer, U. Kuhl, and A. Velias, “Behavioral Economics and Neuroeconomics of Environmental Values,” Annu. Rev. Resour. Econ., vol. 15, no. 1, pp. 153–176, Oct. 2023, doi: 10.1146/annurev-resource-101722-082743.
C. M. Kuhnen, “Financial Decision-Making Across the Lifespan: Insights From Neuroeconomics,” Annual Review of Financial Economics, July 2025, doi: 10.1146/annurev-financial-090524-120814.
H. Snyder, “Literature review as a research methodology: An overview and guidelines,” Journal of Business Research, vol. 104, pp. 333–339, Nov. 2019, doi: 10.1016/j.jbusres.2019.07.039.
M. J. Grant and A. Booth, “A typology of reviews: an analysis of 14 review types and associated methodologies,” Health Info Libraries J, vol. 26, no. 2, pp. 91–108, June 2009, doi: 10.1111/j.1471-1842.2009.00848.x.
S. K. Boell and D. Cecez-Kecmanovic, “On being ‘systematic’ in literature reviews,” in Formulating Research Methods for Information Systems, L. P. Willcocks, C. Sauer, and M. C. Lacity, Eds., London: Palgrave Macmillan UK, 2015, pp. 48–78. doi: 10.1057/9781137509888_3.
J. Thomas and A. Harden, “Methods for the thematic synthesis of qualitative research in systematic reviews,” BMC Med Res Methodol, vol. 8, no. 1, p. 45, Dec. 2008, doi: 10.1186/1471-2288-8-45.
R. Ferrari, “Writing narrative style literature reviews,” Medical Writing, vol. 24, no. 4, pp. 230–235, Dec. 2015, doi: 10.1179/2047480615Z.000000000329.
W. Schultz, “Recent advances in understanding the role of phasic dopamine activity,” F1000Res, vol. 8, p. 1680, Sept. 2019, doi: 10.12688/f1000research.19793.1.
A. Westbrook et al., “Dopamine promotes cognitive effort by biasing the benefits versus costs of cognitive work,” Science, vol. 367, no. 6484, pp. 1362–1366, Mar. 2020, doi: 10.1126/science.aaz5891.
K. Yasmin, “From Convenience to Compulsion: How E-wallets Shape Impulse Buying Trends Among Gen Z in Indonesia,” Universitas Islam Indonesia, Yogyakarta, 2025. [Online]. Available: dspace.uii.ac.id/123456789/56692
G. Bayramoğlu and O. Öztürk, “Systematic and Bibliometric Review of Neuroeconomics and Neurofinance Research: Current Status, Thematic Trends, and Future Directions,” Journal of Economic Surveys, p. joes.12676, Dec. 2024, doi: 10.1111/joes.12676.
B. S. Abdullaeva, D. Abdullaev, L. Djuraeva, D. K. Sagdullaeva, and A. Kholikov, “Applications of Behavioral Economics and Neuroeconomics in Mental Health,” IJPS, Dec. 2024, doi: 10.18502/ijps.v20i1.17404.