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How Artificial Intelligence Empowers Enterprises to Achieve Disruptive Innovation: A Study Based on Configuration Perspective
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Jin Yang, Xiaolin Wu, Yiyang Liu, Ning Li
Journal of Technology Economics | 2025, 44(7) : 93 - 105
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Journal of Technology Economics | 2025, 44(7): 93-105
Enterprise Technology Economics
How Artificial Intelligence Empowers Enterprises to Achieve Disruptive Innovation: A Study Based on Configuration Perspective
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Jin Yang, Xiaolin Wu, Yiyang Liu, Ning Li
Affiliations
  • School of Public Policy and Administration, Northwestern Polytechnical University, Xi’an 710072,China
Published: 2025-07-25 doi: 10.12404/j.issn.1002-980X.J24081913
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As a strategic emerging technology, artificial intelligence (AI) plays a significant role in guiding future societal transformation and has an empowering effect to help enterprises realize disruptive innovation. However, there is still a lack of in-depth analysis of the key elements and mechanisms of AI empowering enterprises to realize disruptive innovation in academia. The impact path of AI-empowered disruptive innovation for enterprises remains unknown. The exploratory multi-case study method based on Grounded Theory was applied to construct a theoretical model of AI empowering enterprises to realize disruptive innovation, and the fuzzy-set qualitative comparative analysis method was employed to explore the complex causal mechanism of AI empowering disruptive innovation in enterprises. The results highlight that five key factors for achieving AI-driven disruptive innovation in enterprises are service ecology, cooperation network, technological transition, context-depth-excavation, and organizational structure innovation. Among the five factors, technological transition is a necessary condition for AI to empower disruptive innovation in enterprises. There are three types and four paths of AI empowering disruptive innovation in enterprises including“technology-service ecology type”, “technology-scene-structural innovation type” and “technology-cooperation network type”. The results provide decision-making references for enterprises on selecting an AI empowerment path to drive disruptive innovation based on their unique circumstances.

artificial intelligence  /  empowerment  /  disruptive innovation  /  fsQCA
Jin Yang, Xiaolin Wu, Yiyang Liu, Ning Li. How Artificial Intelligence Empowers Enterprises to Achieve Disruptive Innovation: A Study Based on Configuration Perspective[J]. Journal of Technology Economics, 2025 , 44 (7) : 93 -105 . DOI: 10.12404/j.issn.1002-980X.J24081913
Year 2025 volume 44 Issue 7
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doi: 10.12404/j.issn.1002-980X.J24081913
  • Receive Date:2024-08-19
  • Online Date:2025-09-05
  • Published:2025-07-25
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  • Received:2024-08-19
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    School of Public Policy and Administration, Northwestern Polytechnical University, Xi’an 710072,China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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