Impact of Artificial Intelligence Technology Development on Enterprise Growth
- DOI
- 10.2991/978-94-6463-742-7_44How to use a DOI?
- Keywords
- enabling technology; AI; absorptive capacity; redundant resources; enterprise growth
- Abstract
Artificial Intelligence (AI) has emerged as a key enabler in digital economic transformation, driving industrial innovation through novel business paradigms. This study analyzes 584 global enterprises (2001–2020) using an AI R&D intensity framework to reveal firm-level growth dynamics. Findings indicate sustained performance improvements from AI investments, amplified by organizational absorptive capacity. Contrary to theoretical assumptions, slack resources demonstrate insignificant mediation effects. The technology’s impact exhibits cyclical variations - substantial during maturity phases but limited in early adoption. The research advances organizational growth theory by elucidating differential AI implementation outcomes, offering practical insights for aligning corporate strategies with national AI agendas while proposing a methodological framework for technology absorption assessment.
- Copyright
- © 2025 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yayan Qin PY - 2025 DA - 2025/05/31 TI - Impact of Artificial Intelligence Technology Development on Enterprise Growth BT - Proceedings of the 2025 4th International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2025) PB - Atlantis Press SP - 454 EP - 464 SN - 1951-6851 UR - https://doi.org/10.2991/978-94-6463-742-7_44 DO - 10.2991/978-94-6463-742-7_44 ID - Qin2025 ER -