Mapping Global Research Trends on Loss Aversion: A Bibliometric Analysis Using Scopus Data (2000–2025)

Article Sidebar

PDF
Published: Nov 30, 2025
DOI: https://doi.org/10.58812/esaf.v4i01.818
Keywords:
Behavioral Economics; Bibliometric Analysis; Co-Authorship Network; Decision-Making; Global Research Trends; Loss Aversion; Prospect Theory; Risk Aversion; Scopus; VOSviewer

Main Article Content

Loso Judijanto
IPOSS Jakarta

Abstract

This study offers a thorough bibliometric analysis of international research on loss aversion based on Scopus-indexed articles⁠. The study analyzes the intellectual found⁠ations and emergent advancem⁠ents that influence the subject by analyzing pub⁠lication trends, citation structures, authorship networks, institutional collaborations, and keyword co-occ⁠urrences. The finding⁠s underscore the importance of deci⁠sio⁠n-making, prospect theory, and risk⁠ aversion, wh⁠ich provide the conceptual foundation of loss aversion research. Co-authorship and i⁠nstitutional mapp⁠ing demonstrat⁠e robust international collaboratio⁠n networks spearheaded by the United States, United K⁠ingdom, China, and prominent European in⁠stitutions. The theme clusters⁠ exhibit an equilibrium between fundamental behavioral econo⁠mics resear⁠ch and expanding mu⁠ltidisciplinary appl⁠ications in psychology, neurosc⁠ience, management, and health sciences. Notwiths⁠tanding⁠ cons⁠traints associated with dat⁠abas⁠e coverage and citation metrics, the study provides significant insights for academics aiming to comprehend the field's evolution, pinpoint research ne⁠eds, and investigate future traje⁠ctories. This bibliometric study elucidates loss aversion as a multidisciplinary construc⁠t and highlights its significance in elucidating human behavior in contexts of risk and uncertainty.

Article Details

How to Cite
Judijanto, L. (2025). Mapping Global Research Trends on Loss Aversion: A Bibliometric Analysis Using Scopus Data (2000–2025). The Es Accounting And Finance, 4(01), 15–29. https://doi.org/10.58812/esaf.v4i01.818
Issue
Vol. 4 No. 01 (2025): The Es Accounting And Finance (ESAF)
Section
Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

References

N. Barberis and W. Xiong, “What drives the disposition effect? An analysis of a long‐standing preference‐based explanation,” J. Finance, vol. 64, no. 2, pp. 751–784, 2009.

R. H. Thaler, “Behavioral economics: Past, present, and future,” Am. Econ. Rev., vol. 106, no. 7, pp. 1577–1600, 2016.

T. B. Page, “CEO attributes, compensation, and firm value: Evidence from a structural estimation,” J. financ. econ., vol. 128, no. 2, pp. 378–401, 2018.

P. Sokol-Hessner, C. F. Camerer, and E. A. Phelps, “Emotion regulation reduces loss aversion and decreases amygdala responses to losses,” Soc. Cogn. Affect. Neurosci., vol. 8, no. 3, pp. 341–350, 2013.

H. Heliani, “Relationship between Working Capital Management, Corporate Social Responsibility, Liquidity Risk, and Profitability on the Performance and Sustainability,” Int. J. Business, Law, Educ., vol. 4, no. 2 SE-, pp. 1257–1269, Aug. 2025, doi: 10.56442/ijble.v4i2.315.

N. Donthu, S. Kumar, D. Mukherjee, N. Pandey, and W. M. Lim, “How to conduct a bibliometric analysis: An overview and guidelines,” J. Bus. Res., vol. 133, pp. 285–296, 2021.

S. M. Tom, C. R. Fox, C. Trepel, and R. A. Poldrack, “The neural basis of loss aversion in decision-making under risk,” Science (80-. )., vol. 315, no. 5811, pp. 515–518, 2007.

D. Kahneman, “Thinking, fast and slow,” Farrar, Straus and Giroux, 2011.

N. Van Eck and L. Waltman, “Software survey: VOSviewer, a computer program for bibliometric mapping,” Scientometrics, vol. 84, no. 2, pp. 523–538, 2010.

M. Aria and C. Cuccurullo, “bibliometrix: An R-tool for comprehensive science mapping analysis,” J. Informetr., vol. 11, no. 4, pp. 959–975, 2017.

M. J. Cobo, A. G. López‐Herrera, E. Herrera‐Viedma, and F. Herrera, “Science mapping software tools: Review, analysis, and cooperative study among tools,” J. Am. Soc. Inf. Sci. Technol., vol. 62, no. 7, pp. 1382–1402, 2011.

B. Kőszegi and M. Rabin, “A model of reference-dependent preferences,” Q. J. Econ., vol. 121, no. 4, pp. 1133–1165, 2006.

J. J. Chrisman and P. C. Patel, “Variations in R&D investments of family and nonfamily firms: Behavioral agency and myopic loss aversion perspectives,” Acad. Manag. J., vol. 55, no. 4, pp. 976–997, 2012.

R. Dantzer and K. W. Kelley, “Twenty years of research on cytokine-induced sickness behavior,” Brain. Behav. Immun., vol. 21, no. 2, pp. 153–160, 2007.

A. W. Lo, “The adaptive markets hypothesis: Market efficiency from an evolutionary perspective,” J. Portf. Manag. Forthcom., 2004.

J. F. Cryan and A. Holmes, “The ascent of mouse: advances in modelling human depression and anxiety,” Nat. Rev. Drug Discov., vol. 4, no. 9, pp. 775–790, 2005.

W. K. Bickel and L. A. Marsch, “Toward a behavioral economic understanding of drug dependence: delay discounting processes,” Addiction, vol. 96, no. 1, pp. 73–86, 2001.

N. Barberis, M. Huang, and T. Santos, “Prospect theory and asset prices,” Q. J. Econ., vol. 116, no. 1, pp. 1–53, 2001.

D. Genesove and C. Mayer, “Loss aversion and seller behavior: Evidence from the housing market,” Q. J. Econ., vol. 116, no. 4, pp. 1233–1260, 2001.

K. G. Volpp, L. K. John, A. B. Troxel, L. Norton, J. Fassbender, and G. Loewenstein, “Financial incentive–based approaches for weight loss: a randomized trial,” Jama, vol. 300, no. 22, pp. 2631–2637, 2008.

D.-M. U. Risk, “The Neural Basis of Loss Aversion in,” Science (80-. )., vol. 1134239, no. 515, p. 315, 2007.