Journal of Machine and Computing


Analyzing the Impact of Scientific and Technological Innovations on Financial Performance: A PCA-Based Study of an AI Healthcare Startup



Journal of Machine and Computing

Received On : 28 March 2024

Revised On : 28 June 2024

Accepted On : 15 August 2024

Published On : 05 October 2024

Volume 04, Issue 04

Pages : 1117-1125


Abstract


This study explores the relationship between scientific and technological innovations and the financial performance of startups, focusing on a representative Artificial Intelligence (AI) healthcare startup. Utilizing Principal Component Analysis (PCA), the research aims to dissect the complex interplay between innovation-related metrics—such as R&D spending, patent counts, and technology adoption rates—and financial outcomes like revenue growth, profitability, and market share. The PCA methodology enabled the reduction of high-dimensional data into PCA, which clearly illustrates how several dimensions of innovation impact financial metrics. The approach used in the investigation helps people comprehend more thoroughly how development benefits business viability in several different manners and provides startups with practical advice to use when preparing their revolutionary investments. This paper aims to assist the ecosystem of startup consumers (including investors, business owners, and policymakers) in making better decisions that balance technological progress with economic objectives.


Keywords


Artificial Intelligence, Principal Component Analysis, Finance, Policy-Makers, Business Models.


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Acknowledgements


We would like to thank Reviewers for taking the time and effort necessary to review the manuscript. We sincerely appreciate all valuable comments and suggestions, which helped us to improve the quality of the manuscript.


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No funding was received to assist with the preparation of this manuscript.


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The authors would like to thank to the reviewers for nice comments on the manuscript.


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Data sharing is not applicable to this article as no new data were created or analysed in this study.


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Cite this article


Hayder M A Ghanimi, Girish Kumar Painoli, Dipenkumar Contractor, Sowjanya G N, Vani Lavanya A and Kamal Poon, “Analyzing the Impact of Scientific and Technological Innovations on Financial Performance: A PCA-Based Study of an AI Healthcare Startup”, Journal of Machine and Computing, pp. 1117-1125, October 2024. doi:10.53759/7669/jmc202404103.


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© 2024 Hayder M A Ghanimi, Girish Kumar Painoli, Dipenkumar Contractor, Sowjanya G N, Vani Lavanya A and Kamal Poon. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.