Version 1
: Received: 29 August 2024 / Approved: 29 August 2024 / Online: 29 August 2024 (10:18:11 CEST)
How to cite:
Moro Visconti, R. Natural and Artificial Intelligence Interactions in Digital Networking:A Multilayer Network Model for Economic Value Creation. Preprints2024, 2024082132. https://doi.org/10.20944/preprints202408.2132.v1
Moro Visconti, R. Natural and Artificial Intelligence Interactions in Digital Networking:A Multilayer Network Model for Economic Value Creation. Preprints 2024, 2024082132. https://doi.org/10.20944/preprints202408.2132.v1
Moro Visconti, R. Natural and Artificial Intelligence Interactions in Digital Networking:A Multilayer Network Model for Economic Value Creation. Preprints2024, 2024082132. https://doi.org/10.20944/preprints202408.2132.v1
APA Style
Moro Visconti, R. (2024). Natural and Artificial Intelligence Interactions in Digital Networking:A Multilayer Network Model for Economic Value Creation. Preprints. https://doi.org/10.20944/preprints202408.2132.v1
Chicago/Turabian Style
Moro Visconti, R. 2024 "Natural and Artificial Intelligence Interactions in Digital Networking:A Multilayer Network Model for Economic Value Creation" Preprints. https://doi.org/10.20944/preprints202408.2132.v1
Abstract
This study investigates the integration of natural intelligence (NI) and artificial intelligence (AI) within traditional firms, proposing a multilayer network framework to enhance economic value. The research explores the central question: How can the integration of NI and AI, facilitated by copula nodes, drive economic value creation in digitized firms? Through empirical testing across multiple industries—namely manufacturing, retail, and finance—the study evaluates the cost-benefit improvements associated with AI adoption. The findings reveal substantial efficiency gains, improved decision-making, and notable cost reductions, validating the proposed model's predictions. The study emphasizes the critical role of copula nodes in optimizing interactions between NI and AI, ensuring that their integration yields maximum economic benefits. By providing a novel framework for quantifying AI's economic impact within digitized firms, this research fills a significant gap in the literature on multilayer networks and intelligent systems. The practical implications are profound, offering a strategic pathway for firms to enhance profitability and competitiveness in the digital age.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
