Synergizing Ai and Business: Maximizing Innovation, Creativity, Decision Precision, and Operational Efficiency in High-Tech Enterprises
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Date
2024
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier B.V.
Open Access Color
GOLD
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
The study was conducted on 125 US based high-tech firms from software engineering, hardware production, biotechnology, and telecommunications. Senior-level executives, including CEOs, board members, and CTOs, provided insights through structured questionnaires. Key findings indicate that AI adoption significantly enhances organizational capabilities in terms of employees’ innovation, creativity, and experimentation. Moreover, AI adaptation positively impacts decision making thus yielding more accurate and timely valuable decisions. These findings contribute to both theoretical understanding and managerial practice by guiding strategic investments in AI technologies, fostering innovation, and advocating for ethical AI deployment practices. Future study should examine longitudinal impacts across industries and regions to optimize benefits and minimize risks in digital transformation efforts. It should also integrate qualitative methods for deeper insights and appropriate AI governance systems. © 2024
Description
Keywords
Artificial Intelligence, Innovation, Operational Efficiency, Performance, Technology Adoption, Artificial intelligence, HF5001-6182, Performance, Management. Industrial management, Business, Operational efficiency, Innovation, HD28-70, Technology adoption
Fields of Science
0502 economics and business, 05 social sciences
Citation
WoS Q
N/A
Scopus Q
Q1

OpenCitations Citation Count
22
Source
Journal of Open Innovation: Technology, Market, and Complexity
Volume
10
Issue
3
Start Page
End Page
Collections
PlumX Metrics
Citations
Scopus : 32
Captures
Mendeley Readers : 281
SCOPUS™ Citations
35
checked on Feb 24, 2026
Page Views
5
checked on Feb 24, 2026
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