Veritology-Based Business Feasibility Methodological Design: A Conceptual Framework for Information Distortion Reduction in Entrepreneurship Planning

Abstract

The high failure rate of new ventures is frequently rooted in upstream planning information distortion driven by the dominance of optimism bias and strategic misrepresentation. This article aims to formulate a new methodological design in entrepreneurial feasibility analysis by positioning Veritology as an independent theoretical backbone. Utilizing a Mechanical Epistemology approach derived from the Teleological Algorithm of Veritology, the feasibility assessment is shifted from linguistic-narrative formalities toward the identification of structural anomalies within planning drafts based on material capacity constraints. The designed Veritology-Based Business Feasibility Evaluation Method (V-BFEM) extracts feasibility value through three core instruments: the separation of Organic Data (ℸ_o) from Constructed Data (∁_c), the forensic calibration of the Material-Anchored Deviation Index (MADI) utilizing a dynamic sectorial dispersal window, and the continuous exponential decay execution of the Ontological Veto Operator (V_∘). By embedding physical capacity gap scores directly as a conditional multiplier within the evaluation loop, this streamlined design prevents the mathematical error of structural double-counting while offering a materially anchored feasibility evaluation framework that remains subject to future empirical calibration, inter-rater reliability testing, and predictive validation.