Breaking The Bias: The Role of Adversity Quotient in Navigating CSR Disclosures and Investor Heuristics

Authors

  • Riza Praditha STIE Tri Dharma Nusantara, Indonesia
  • Nurwana Universitas Muslim Indonesia, Indonesia
  • Nur Fatwa Basar STIE Tri Dharma Nusantara, Indonesia
  • Abdul Hamid Habbe Universitas Hasanuddin, Indonesia

DOI:

https://doi.org/10.61255/jeemba.v4i6.1563

Keywords:

Corporate Social Responsibility, Adversity Quotient, Bias Heuristics, Representativeness, Anchoring-adjustment

Abstract

Purpose – This study examines the role of the adversity quotient as a mental ability in mitigating heuristic bias in earnings forecasting, using earnings information and corporate social responsibility disclosures.

Design/methodology/approach – This study employs a quantitative mixed-design framework, combining a repeated-measures task structure with a measured between-person moderator (Adversity Quotient). All participants completed both representativeness and anchoring-adjustment heuristic tasks in a counterbalanced sequence to control for potential order, learning, and carryover effects. Rather than a pure 2×3 full-factorial design, AQ is treated as a measured individual-difference characteristic rather than an experimentally manipulated factor, allowing the analysis to explicitly model this mixed experimental structure.

Finding/Results – This study revealed that skepticism causes investors to ignore impression management-based CSR narratives and prioritize objective fundamental analysis. This results in representativeness bias not affecting earnings projections. However, investors were found to be highly susceptible to anchoring and adjustment bias, in which the initial target figure from management becomes the dominant cognitive anchor. Despite the availability of additional information, investors' adjustments tend to be inadequate, leaving forecasts close to the anchor figure. This weakness can be mitigated by the Adversity Quotient (AQ); investors with high AQ show cognitive resilience, resisting the influence of anchors and making more accurate adjustments based on CSR data.

Originality/Value – The novelty of this research lies in the analysis of the adversity quotient factor specifically in relation to CSR information disclosure—an analysis that has not been conducted previously.

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References

Almansour, B. Y., Elkrghli, S., & Almansour, A. Y. (2023). Behavioral finance factors and investment decisions : A mediating role of risk perception. Cogent Economics & Finance, 11(2), 1–20. https://doi.org/10.1080/23322039.2023.2239032

Baroa, E. D. (2015). Adversity Quotient and Leadership Skills of School Administrators: Basis for Leadership Enhancement Program. Philippine Normal University.

Eriandani, R., & Evangelia, A. (2024). Firm Characteristics and Disclosure of Metariality Assessment in Sustainability Reports. Media Riset Akuntansi, Auditing & Informasi, 24(2), 213–232. https://doi.org/http://dx.doi.org/10.25105/mraai.v24i2.19577 ISSN

Hjeij, M., & Vilks, A. (2023). A brief history of heuristics : how did research on heuristics evolve? Humanities & Social Sciences Communications, 10(64), 1–15. https://doi.org/10.1057/s41599-023-01542-z

Hodgkinson, G. P., Burkhard, B., Foss, N. J., Grichnik, D., Sarala, R. M., Tang, Y., & Essen, M. Van. (2023). The Heuristics and Biases of Top Managers : Past, Present, and Future. Journal of Management Studies, 60(5), 1033–1063. https://doi.org/10.1111/joms.12937

Karki, U., Bhatia, V., & Sharma, D. (2024). A Systematic Literature Review on Overcon dence and Related Biases In uencing Investment Decision Making. Economic and Business Review, 26(2), 130–150. https://doi.org/https://doi.org/10.15458/2335-4216.1338

Kasoga, P. S. (2021). Heuristic biases and investment decisions : multiple mediation mechanisms of risk tolerance and financial literacy — a survey at the Tanzania stock market. Journal of Money and Business, 1(2), 102–116. https://doi.org/10.1108/JMB-10-2021-0037

Lin, H., Tao, X., & Wu, C. (2022). Forecasting earnings with combination of analyst forecasts. Journal of Empirical Finance, 68, 133–159. https://doi.org/10.1016/j.jempfin.2022.07.003

Loris, R. P., & Jayanto, P. Y. (2021). The Effect Of Representativeness, Availability, Anchoring, Risk Perception, And Herding On Investment Decisions Syariah Investors. Accounting Journal, 11(1), 81–92. https://doi.org/DOI: https://doi.org/10.33369/j.akuntansi.11.1.81-92

Mahadevi, S. A., & Asandimitra, N. (2021). The Influence of Status Quo, Herding Behavior, Representativeness Bias, Mental Accounting, and Regret Aversion Bias on Millennial Investors Investment Decisions in Surabaya City. Journal of Management Sciences, 9(2), 779–793. https://pdfs.semanticscholar.org/97a3/ed1b6515b94a613f2097d376f33c76ff627d.pdf

Pong, H., & Fong, C. (2023). The Associations of Spirituality , Adversity Quotient and Ethical Decision Making of Accounting Managers in the Contexts of Financial Management and Corporate Social Responsibility. Sustainability (Switzerland), 15(14287), 1–21. https://doi.org/https://doi.org/10.3390/ su151914287

Praditha, R., Haliah, H., Habbe, A. H., & Rura, Y. (2020). Do investors experience heuristics in earnings forecasting? Business: Theory and Practice, 21(2). https://doi.org/10.3846/btp.2020.12018

Praditha, Riza, Agustuty, L., Jao, R., Ruslan, A., & Aisyah, N. (2023). An Experiment : Distribution of the Adversity Quotient as a Reduction of Bias in Estimating Earnings. Journal of Distribution Science, 21(6), 99–106. https://doi.org/http://dx.doi.org/10.15722/jds.21.06.202306.99

Praditha, Riza, Haliah, H., Habbe, A. H., & Rura, Y. (2019). Earnings Estimation : Cognitive Psychology and Investor Reaction. American International Journal of Business Management, 2(11), 89–95.

Praditha, Riza, Jao, R., Supandi, & Putri, A. A. (2026). Green Accounting: Greenhouse Effect Reduction and Sustainability Economic Growth. Ekuitas: Jurnal Ekonomi Dan Keuangan, 10(2), 188–201. https://doi.org/10.24034/j25485024.y2026.v10.i2.7671

Preussner, N. A., & Aschauer, E. (2022). The Accuracy and Informativeness of Management Earnings Forecasts : A Review and Unifying Framework. Accounting Perspectives, 21(2), 273–330. https://doi.org/10.1111/1911-3838.12294

Siraji, M. (2019). Heuristics Bias and Investment Performance : Does Age Matter ? Evidence from Colombo Stock Exchange. Asian Journal of Economics, Business and Accounting, 12(4), 1–14. https://doi.org/10.9734/AJEBA/2019/v12i430156

Stoltz, P. G. (2000). Adversity Quotient Work: Putting the Principles of AQ into Action (William Morrow (ed.); First Edition). Collins Publisher. https://books.google.co.id/books?id=Rk5NfYPaLBsC&printsec=frontcover&dq=adversity+quotient&hl=en&sa=X&ved=0ahUKEwi__ISwh_DkAhUKL48KHVIKA_IQ6AEINzAC#v=onepage&q=adversity quotient&f=false

Suresh, G. (2024). Impact of Financial Literacy and Behavioural Biases on Investment. FIIB Business Review, 13(1), 72–86. https://doi.org/10.1177/23197145211035481

Tversky, A., & Kahneman, D. (1973). Judgements under uncertainty: Heuristics and biases. Oregon Research Institute Research Bulletin, 13(1), 201–210. https://doi.org/10.1016/0732-118x(84)90024-2

Zvarikova, K., Gajanova, L., & Horak, J. (2024). Exploring CSR performance as a proxy for competitive advantage across sectors in the Central European countries. Oeconomia Copernicana, 15(3), 991–1020. https://doi.org/https://doi.org/10.24136/oc.3247

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Published

2026-10-06

How to Cite

Praditha, R., Nurwana, N., Basar, N. F., & Habbe, A. H. (2026). Breaking The Bias: The Role of Adversity Quotient in Navigating CSR Disclosures and Investor Heuristics. Journal of Economics, Entrepreneurship, Management Business and Accounting, 4(6), 88–101. https://doi.org/10.61255/jeemba.v4i6.1563