Comparative Study on Innovation Strategies of Ecosystem Companies with Generative AI Platforms

This document reviews experimental research on the impact of generative artificial intelligence (AI) on productivity, innovation, and entrepreneurship.It highlights to what extent AI automates tasks, enhances skills, and transforms business operations.Additionally, this study discusses the role of AI in fostering creativity, accelerating research and development and lowering entry barriers for businesses, while also noting challenges related to trust and human expertise.Findings suggest that AI's effectiveness depends on the user's experience and the task carried out, with human-AI collaboration being key to maximising its potential.The review identifies gaps in current research, particularly regarding AI's long-term business effects and workers' understanding of its limitations, emphasising the need for further studies to guide its responsible and effective use.

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Publication Details

Journal
Journal of Digital Contents Society
Published
2025-12-31
DOI
https://doi.org/10.9728/dcs.2025.26.12.3433
Primary Topic
Sustainable Industrial Ecology
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparative Study on Innovation Strategies of Ecosystem Companies with Generative AI Platforms

Young-Wan Jin, Taeyeon Oh
Journal of Digital Contents Society
Sustainable Industrial Ecology
article

Comparative Study on Innovation Strategies of Ecosystem Companies with Generative AI Platforms

Young-Wan Jin, Taeyeon Oh
article en

Abstract

This document reviews experimental research on the impact of generative artificial intelligence (AI) on productivity, innovation, and entrepreneurship.It highlights to what extent AI automates tasks, enhances skills, and transforms business operations.Additionally, this study discusses the role of AI in fostering creativity, accelerating research and development and lowering entry barriers for businesses, while also noting challenges related to trust and human expertise.Findings suggest that AI's effectiveness depends on the user's experience and the task carried out, with human-AI collaboration being key to maximising its potential.The review identifies gaps in current research, particularly regarding AI's long-term business effects and workers' understanding of its limitations, emphasising the need for further studies to guide its responsible and effective use.

Journal of Digital Contents SocietyVol. 26(12)
Openalex Percentile: Top 31%
Sustainable Industrial Ecology
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