Peer Review: "Minds and Machines: Impact of Emotional Intelligence on Investment Decisions with Mediating the Role of Artificial Intelligence"

Authors

Ali Nizam

Islamic University of Maldives (Maldives)

Mohamed Maumoon

Islamic University of Maldives (Maldives)

Zubair Hassan

Islamic University of Maldives (Maldives)

Article Information

DOI: 10.47772/IJRISS.2025.91200122

Subject Category: Social science

Volume/Issue: 9/12 | Page No: 1635-1640

Publication Timeline

Submitted: 2025-12-17

Accepted: 2025-12-24

Published: 2026-01-03

Abstract

Investment decisions are increasingly dictated by emotional intelligence (EI) and Artificial Intelligence (AI), meaning critical assessment of the literature in this field is crucial for future research on behavioural finance. This review examines the article Minds and Machines: Impact of Emotional Intelligence on Investment Decisions with Mediating the Role of Artificial Intelligence, calling EI a predictor of investment decisions and AI a mediator. The review employs an organised, criteria informed approach based on established reviewer guidance to evaluate the paper's conceptual framing, methodological clarity, analytic processes, clarity of presentation, referencing, and overall academic quality. The evaluation includes strengths, such as the application of SEM, clear reporting of reliability and validity tests, and a clear conceptual framework. However, there are significant gaps in the abstract, literature review, methodology, and discussion. The main problems are lack of specific methodological detail, absence of sampling description, poor instrument reporting, lack of integration and critique with the previous literature, inadequate explanation of results and multiple reference style inconsistencies. The discussion and conclusion sections do not thoroughly address the theoretical and practical implications. As such, the review offers specific suggestions in light of these findings to increase methodological transparency, enhance analytical reflection, improve structural coherence, and address referencing mistakes. In general, despite being focused on a relevant and multidisciplinary topic, the paper needs substantial revision to strengthen its academic contribution in this domain and to meet the standards expected for scholarly reporting.

Keywords

Emotional Intelligence, Artificial Intelligence, Investment Decisions

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References

1. Aisjah, S., Djazuli, A., & Nurmasari, N. D. (2024, December). The Interaction Of Emotional Intelligence And Financial Literacy On Investment Decisions: A Mediation Study Of Risk Tolerance And Risk Perception. In INTERNATIONAL CONFERENCE OF HUMANITIES AND SOCIAL SCIENCE (ICHSS) (pp. 498-514). [Google Scholar] [Crossref]

2. Aren, S., & Nayman Hamamci, H. (2023). Evaluation of investment preference with phantasy, emotional intelligence, confidence, trust, financial literacy and risk preference. Kybernetes, 52(12), 6203-6231. [Google Scholar] [Crossref]

3. Bradberry, T., & Greaves, J. (2009). Emotional Intelligence 2.0. TalentSmart. [Google Scholar] [Crossref]

4. Chen, S., & Ren, S. (2025). AI-enabled Forecasting, Risk Assessment, and Strategic Decision Making in Finance. Frontiers in Business and Finance, 2(02), 274-295. [Google Scholar] [Crossref]

5. Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of management annals, 14(2), 627-660. [Google Scholar] [Crossref]

6. Hair, J., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2017). Advanced issues in partial least squares structural equation modeling. https://bvbr.bib-bvb.de:443/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029439444&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA [Google Scholar] [Crossref]

7. Hess, J. D., & Bacigalupo, A. C. (2011). Enhancing decisions and decision‐making processes through the application of emotional intelligence skills. Management decision, 49(5), 710-721. [Google Scholar] [Crossref]

8. Idris, O. (2023). Discussion on the role of emotional intelligence in financial decision-making. Journal of Policy Options, 6(4), 20-29. [Google Scholar] [Crossref]

9. Istianingsih, N., Masnun, A., & Pratiwi, W. (2020). Managerial performance models through decision making and emotional intelligence in public sector. Administratie si Management Public, (35), 153-166. [Google Scholar] [Crossref]

10. Kuo, Y. F., & Wu, C. M. (2012). Satisfaction and post-purchase intentions with service recovery of online shopping websites: Perspectives on perceived justice and emotions. International Journal of Information Management, 32(2), 127-138. [Google Scholar] [Crossref]

11. Mayer, J. D., & Salovey, P. (1997). What is emotional intelligence? In P. Salovey & D. Sluyter (Eds.), Emotional Development and Emotional Intelligence (pp. 3–31). Basic Books. [Google Scholar] [Crossref]

12. Oler, D. K., & Pasewark, W. R. (2014). How to review a paper. Issues in Accounting Education, 31(2), 219–234. https://doi.org/10.2308/iace-50748 [Google Scholar] [Crossref]

13. Patil, D. (2024). Artificial intelligence in financial services: Advancements in fraud detection, risk management, and algorithmic trading optimization. Risk Management, And Algorithmic Trading Optimization (November 20, 2024). [Google Scholar] [Crossref]

14. Provenzale, J. M., & Stanley, R. J. (2005). A systematic guide to reviewing a manuscript. American Journal of Roentgenology, 185(4), 848-854. https://doi.org/10.2214/AJR.05.0782 [Google Scholar] [Crossref]

15. Riaz, N., Hussain, Z., Ahmed, J., & Lodhi, K. (2024). The Role Of Emotional Intelligence In Effective Management Decision-Making. Contemporary Journal of Social Science Review, 2(04), 13-22. [Google Scholar] [Crossref]

16. Roberts, L. W. (2004). How to review a manuscript: A “Down-to-Earth” approach. Academic Psychiatry, 28(2), 81–87. https://doi.org/10.1176/appi.ap.28.2.81 [Google Scholar] [Crossref]

17. Sharma, P. C. (2024). Impact of emotional intelligence on investment decision. Deep learning tools for predicting stock market movements, 341-362. [Google Scholar] [Crossref]

18. Shi, S., Gong, Y., & Gursoy, D. (2021). Antecedents of trust and adoption intention toward artificially intelligent recommendation systems in travel planning: a heuristic–systematic model. Journal of Travel Research, 60(8), 1714-1734. [Google Scholar] [Crossref]

19. Taylor & Francis. (2023, April 5). Science, technology, engineering and mathematics article reviewer checklist. Editor Resources. https://editorresources.taylorandfrancis.com/reviewer-guidelines/review-checklist/science-technology-engineering-and-mathematics-article-reviewer-checklist/ [Google Scholar] [Crossref]

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