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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68036
Volume:
10 |
10 |
Oct 2026
Pages:
1-8
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Commerce
Alva's College, Karnataka, India
Commerce
Dr. NSAM First Grade Degree College, Nitte, Karnataka, India
Commerce
Mangalore University, Karnataka, India
Commerce
Alva's College, Karnataka, India
This conceptual paper examines why investors may trust a trading application that looks official without confirming who published it. It asks whether displayed verification symbols affect perceived legitimacy, whether independently checkable app origins and actual source checks improve identification, and whether a short reminder can help people distinguish genuine from deceptive applications. The analysis draws on selected financial-literacy, investor-behaviour and digital-finance studies, together with research on online trust signals and Indian securities regulation. It proposes a framework separating visible assurances, source provenance, independent checking and correct authentication. Seven hypotheses are developed and a controlled vignette experiment is outlined for later testing. The conceptual analysis suggests that a verification symbol should be interpreted in the context where it appears: a label attached to a genuine marketplace listing is not equivalent to its image in an unsolicited message. The paper does not report survey observations or estimated effects. Its contribution is a testable explanation of how investors can move from initial confidence to justified trust, while recognising genuine apps and rejecting deceptive copies.
KEYWORDS
This paper addresses a specific investor-protection problem: a trading app may look verified even when the evidence of its publisher has not been checked. For the first research question, prior research supports the possibility that visible assurance affects perceived legitimacy; the proposed model tests whether that effect becomes unsafe when a badge is detached from an authentic source. It does not claim that verified marketplace labels themselves are deceptive. For the second question, the paper identifies independently checkable provenance and observed checking as distinct requirements for evaluating correct authentication. Financial knowledge and confidence may influence behaviour, but neither replaces confirmation of the app’s origin. For the third question, the paper proposes a short reminder and specifies how to test whether it increases valid checking and improves classification without unnecessary refusal of genuine services. The main contribution is a conceptual framework that links an investor’s impression to the evidence used and the decision made. Its hypotheses and proposed experiment can be tested, but no effects or prevalence rates are reported here. Investor protection would be better assessed by the ability to distinguish genuine apps from deceptive copies than by trust ratings or fear of investment alone. The paper therefore places independent source authentication at the centre of future research on trading-app fraud resistance.
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Publication Date
10/19/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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