International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Designing Explainable Digital Decision Systems for Venture Evaluation and Public Funding: A Socio-Technical Design-Science Study

Author(s) Kartik Kashyap
Country India
Abstract Decision-making in venture finance and public funding occurs under conditions of extreme uncertainty, incomplete information, and high institutional accountability. Although digital and algorithmic tools are increasingly adopted to support such decisions, evaluation processes remain opaque, inconsistent, and difficult to justify ex post. Insights are presented in this research derived from a longitudinal design-science research program conducted through VentureSense, which functioned as an applied research environment for studying digital decision systems across private investment and public funding contexts. Using a socio-technical Information Systems perspective, recurring structural limitations were identified across multiple decision-support systems, including venture evaluation, public grant assessment, contextual intelligence, and trust verification frameworks. Rather than proposing new predictive algorithms, a layered design framework is advanced for explainable digital decision systems that integrates evaluation logic, human-system interaction, workflow governance, and institutional accountability. The findings contribute to Information Systems research by reframing explainability as a core design property of decision systems and by offering analytically grounded design principles applicable to both private and public funding institutions.
Keywords Information Systems, Design-Science Research, Explainable Decision Systems, Venture Evaluation, Algorithmic Governance
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-17
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.63735
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E-ISSN 2582-2160
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