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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Developing a Business Strategic Decision-Making Framework using Artificial Intelligence

Authors: Sriram Gopalan G1 , Deepak Raj S2 , Manoj G3 , Ashwin Kumar S4;

Developing a Business Strategic Decision-Making Framework using Artificial Intelligence

Abstract

Business Strategic decision making has always been vital for the survival, growth,and change of business systems. In the twenty-first century, the increasing complexity ofglobal systems, along with the massive amounts of data, has made business strategicdecision-making more difficult than ever. Artificial Intelligence (AI) now plays a key role inhelping, automating, and improving the business strategic decision-making process. Thispaper looks at the shift from traditional business decision models to AI-assisted businessframeworks, highlighting the balance between human judgment and computer reasoning. Itexplores how AI tools can simplify choices, examine complex options, and suggest the bestactions in specific mandatory fields. It introduces an AI-assisted business strategic decisionstructure that combines clarity, flexibility, and accountability. This model seeks to helpbusiness strategic decision-makers identify, assess, and carry out decisions in a clear andongoing way. The paper provides a wider insights and recommendations for new startupsand running businesses to sustain in the current market by providing various detailedanalysis and accurate suggestions and recommendations.

Keywords

Artificial Intelligence, AI business strategic decision frameworks, Business Strategic decision-making

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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