Optimizing financial success: The synergistic impact of artificial intelligence and R&D investments in U.S. firms

The use of artificial intelligence (AI) and intellectual machines can support businesses in performing various activities. Therefore, it is necessary to examine the performance outcomes by assessing the concentration of AI technologies. To create a quantifiable score of AI concentration, AI-related terms are identified in the annual reports of all listed firms in the U.S. For analysis purposes, a fixed effects model is employed, using firms’ panel data from 2003 to 2022. The analysis reveals that AI concentration is beneficial for a company’s financial success. Additional analysis examines the moderating role of research and development (R&D). Firms with higher R&D spending experience increased financial benefits from concentrating on AI technologies. The uniqueness of this study lies in analyzing the financial success through the AI and R&D parameters. The findings support a higher concentration on AI, combined with higher R&D spending, to attain greater financial success. The main insights suggest that management must evaluate their existing focus on AI and R&D spending to improve their financial position.

Authors

Institutions

Publication Details

Journal
Journal of Infrastructure Policy and Development
Published
2024-09-03
DOI
https://doi.org/10.24294/jipd.v8i9.6985
Citations
1
Primary Topic
Economic Development and Digital Transformation
Type
article
Field-Weighted Citation Impact
0.83
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimizing financial success: The synergistic impact of artificial intelligence and R&D investments in U.S. firms

Mujeeb‐u‐Rehman Bhayo, Sharmila Devi, Sonia Kumari, Raja Shaikh et al.
1 citations
Journal of Infrastructure Policy and Development
Economic Development and Digital Transformation
0.83
article

Optimizing financial success: The synergistic impact of artificial intelligence and R&D investments in U.S. firms

Mujeeb‐u‐Rehman Bhayo, Sharmila Devi, Sonia Kumari, Raja Shaikh, Shengjie Cao
article en
1 citations

Abstract

The use of artificial intelligence (AI) and intellectual machines can support businesses in performing various activities. Therefore, it is necessary to examine the performance outcomes by assessing the concentration of AI technologies. To create a quantifiable score of AI concentration, AI-related terms are identified in the annual reports of all listed firms in the U.S. For analysis purposes, a fixed effects model is employed, using firms’ panel data from 2003 to 2022. The analysis reveals that AI concentration is beneficial for a company’s financial success. Additional analysis examines the moderating role of research and development (R&D). Firms with higher R&D spending experience increased financial benefits from concentrating on AI technologies. The uniqueness of this study lies in analyzing the financial success through the AI and R&D parameters. The findings support a higher concentration on AI, combined with higher R&D spending, to attain greater financial success. The main insights suggest that management must evaluate their existing focus on AI and R&D spending to improve their financial position.

Journal of Infrastructure Policy and DevelopmentVol. 8(9)
INTI International University (MY), Liaocheng University (CN), University of Business and Technology (SA), Sukkur IBA University (PK)
Industry, innovation and infrastructure
Openalex Percentile: Top 23%
Economic Development and Digital Transformation
0.83
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.