FinBioScan - Behavioral Finance Tool to Analyze the Potency of Biotech Startups

The biotech industry presents a twofold challenge to investors: complicated scientific uncertainty and the effect of cognitive biases in the funding decisions the investors make. The literature on behavioral finance and entrepreneurship suggests that when investors are pitched biotech startups, the investors often rely on narratives, framing, signals of prestige, and emotional appeals, rather than taking data integrity under consideration. This paper provides FinBioScan, an actionable diagnostic framework, to assess investor presentations and quantify the number of bias-induced persuasive strategies used. FinBioScan uses a rubric that captures information from six categories of bias - Scientific Transparency, Narrative Manipulation, Visual Framing, Signal Boosting, Data Omission, and Investor Framing - to develop a bias profile for each startup. Sample applications to selected biotech companies showed that FinBioScan can correctly identify cognitive biases in which investors may be persuaded. The framework does not seek to predict scientific outcomes or commercial success; it simply provides investors with another structured lens to possibly identify the extent of cognitive bias that may have influenced their funding decision.

Authors

Publication Details

Journal
International Journal of Research in Arts and Science
Published
2025-10-08
DOI
https://doi.org/10.9756/ijras/v11i2/bij25012
Primary Topic
Private Equity and Venture Capital
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FinBioScan - Behavioral Finance Tool to Analyze the Potency of Biotech Startups

Shreyas Srinivasan
International Journal of Research in Arts and Science
Private Equity and Venture Capital
article

FinBioScan - Behavioral Finance Tool to Analyze the Potency of Biotech Startups

Shreyas Srinivasan
article en

Abstract

The biotech industry presents a twofold challenge to investors: complicated scientific uncertainty and the effect of cognitive biases in the funding decisions the investors make. The literature on behavioral finance and entrepreneurship suggests that when investors are pitched biotech startups, the investors often rely on narratives, framing, signals of prestige, and emotional appeals, rather than taking data integrity under consideration. This paper provides FinBioScan, an actionable diagnostic framework, to assess investor presentations and quantify the number of bias-induced persuasive strategies used. FinBioScan uses a rubric that captures information from six categories of bias - Scientific Transparency, Narrative Manipulation, Visual Framing, Signal Boosting, Data Omission, and Investor Framing - to develop a bias profile for each startup. Sample applications to selected biotech companies showed that FinBioScan can correctly identify cognitive biases in which investors may be persuaded. The framework does not seek to predict scientific outcomes or commercial success; it simply provides investors with another structured lens to possibly identify the extent of cognitive bias that may have influenced their funding decision.

International Journal of Research in Arts and ScienceVol. 11(2)
Openalex Percentile: Top 59%
Private Equity and Venture Capital
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.