{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T23:18:05Z","timestamp":1772147885297,"version":"3.50.1"},"reference-count":51,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T00:00:00Z","timestamp":1763942400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Gachon University Research Fund of 2025","award":["GCU-202502960001"],"award-info":[{"award-number":["GCU-202502960001"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>The rapid development of artificial intelligence (AI) is reshaping innovation models and enterprises\u2019 competitive advantages. However, existing research has not systematically examined whether AI adoption enhances enterprise innovation or identified its influencing factors. Using panel data from Chinese A-share listed companies between 2012 and 2023, this study constructed an index measuring the extent of AI adoption based on annual report texts and analyzed its impact on enterprise innovation efficiency and underlying mechanisms. The results indicate that AI adoption significantly improves innovation efficiency. Further analysis shows that institutional ownership, executives\u2019 digital background (EDB), and media attention positively moderate this effect. This study provides new evidence for the governance boundaries of AI-driven innovation, enriches enterprise innovation theory in the context of digital transformation, and offers managerial insights for enterprises seeking to realize the value of digital technologies.<\/jats:p>","DOI":"10.3390\/systems13121062","type":"journal-article","created":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T10:24:17Z","timestamp":1763979857000},"page":"1062","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Artificial Intelligence Adoption, Innovation Efficiency, and Governance Mechanisms: Evidence from China"],"prefix":"10.3390","volume":"13","author":[{"given":"Fuwen","family":"Xue","sequence":"first","affiliation":[{"name":"School of Business, Gacon University, Seongnam 13120, Republic of Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4835-8664","authenticated-orcid":false,"given":"Shanyue","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Business, Gacon University, Seongnam 13120, Republic of Korea"}]}],"member":"1968","published-online":{"date-parts":[[2025,11,24]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Gans, J. (2022). AI adoption in a competitive market. SSRN Electron. J.","DOI":"10.2139\/ssrn.4098318"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1080\/08956308.2024.2324241","article-title":"The adoption of AI in new product development","volume":"67","author":"Cooper","year":"2024","journal-title":"Res. Technol. Manag."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"XV","DOI":"10.24840\/2183-0606_012.003_L002","article-title":"Corporate AI living labs: A structured approach to accelerating AI adoption and transforming towards AI-empowered employees for operational excellence","volume":"12","author":"Son","year":"2024","journal-title":"J. Innov. Manag."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"122264","DOI":"10.1016\/j.techfore.2022.122264","article-title":"Artificial intelligence and corporate innovation: A review and research agenda","volume":"188","author":"Bahoo","year":"2023","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"211","DOI":"10.69554\/WPNS5765","article-title":"Inside the successful make-up of \u201cAI-first\u201d organisations","volume":"3","author":"Bughin","year":"2024","journal-title":"J. AI Robot. Workplace Autom."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Li, J., and Jin, X. (2024). The impact of artificial intelligence adoption intensity on corporate sustainability performance: The moderated mediation effect of organizational change. Sustainability, 16.","DOI":"10.3390\/su16219350"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"106480","DOI":"10.1016\/j.frl.2024.106480","article-title":"Artificial intelligence adoption and corporate green innovation capability","volume":"72","author":"Zhong","year":"2025","journal-title":"Financ. Res. Lett."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"4375","DOI":"10.1002\/bse.3710","article-title":"Tapping into the green potential: The power of artificial intelligence adoption in corporate green innovation drive","volume":"33","author":"Hussain","year":"2024","journal-title":"Bus. Strategy Environ."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"66211","DOI":"10.1109\/ACCESS.2025.3560397","article-title":"Does AI adoption in financial management enhance corporate risk resilience?","volume":"13","author":"Yang","year":"2025","journal-title":"IEEE Access"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"632","DOI":"10.1016\/j.jfineco.2012.09.011","article-title":"Innovative efficiency and stock returns","volume":"107","author":"Hirshleifer","year":"2013","journal-title":"J. Financ. Econ."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"102042","DOI":"10.1016\/j.qref.2025.102042","article-title":"From algorithms to invention: AI\u2019s impact on corporate innovation output and efficiency","volume":"104","author":"Feng","year":"2025","journal-title":"Q. Rev. Econ. Financ."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1647","DOI":"10.1007\/s11156-022-01102-7","article-title":"Innovation, institutional ownerships and board diversity","volume":"59","author":"Phan","year":"2022","journal-title":"Rev. Quant. Financ. Acc."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Liu, Y., Shen, Y., Wang, J., and Wang, Q. (2019). Passive institutional investors and corporate innovation. SSRN J.","DOI":"10.2139\/ssrn.3415513"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"102733","DOI":"10.1016\/j.techsoc.2024.102733","article-title":"Analyzing AI adoption in European SMEs: A study of digital capabilities, innovation, and external environment","volume":"79","author":"Arroyabe","year":"2024","journal-title":"Technol. Soc."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"30","DOI":"10.3934\/DSFE.2023003","article-title":"Research on measurement and disequilibrium of manufacturing digital transformation: Based on the text mining data of A-share listed companies","volume":"3","author":"Li","year":"2023","journal-title":"Data Sci. Financ. Econ."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Del R\u00edo Ortega, A., Leopold, H., and Santoro, F.M. (2020, January 13\u201318). Conceptualizing a Capability-Based View of Artificial Intelligence Adoption in a BPM Context. Proceedings of the Business Process Management Workshops: BPM 2020 International Workshops, Seville, Spain. Revised Selected Papers.","DOI":"10.1007\/978-3-030-66498-5"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Kim, T., Park, Y., and Kim, W. (2022, January 7\u201311). The Impact of Artificial Intelligence on Firm Performance. Proceedings of the Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, USA.","DOI":"10.23919\/PICMET53225.2022.9882634"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1111\/jpim.12698","article-title":"Artificial intelligence in innovation management: A review of innovation capabilities and a taxonomy of AI applications","volume":"42","author":"Gama","year":"2025","journal-title":"J. Prod. Innov. Manag."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"18","DOI":"10.58970\/IJSB.2402","article-title":"Enhancing corporate innovation through artificial intelligence adoption: A study of Chinese telecommunications companies","volume":"38","author":"Dai","year":"2024","journal-title":"Int. J. Sci. Bus."},{"key":"ref_20","unstructured":"Wang, Z., Wang, S., and Xu, H. (2023, January 13\u201314). AI technology adoption, AI knowledge integration and AI product development performance. Proceedings of the Service Science: CCF 16th International Conference, ICSS 2023, Harbin, China. Revised Selected Papers."},{"key":"ref_21","first-page":"228","article-title":"The impact of artificial intelligence adoption on firms\u2019 innovation performance in the digital era: Based on dynamic capabilities theory","volume":"2","author":"Li","year":"2025","journal-title":"Int. Theory Pract. Humanit. Soc. Sci."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1257\/aer.103.1.277","article-title":"Innovation and Institutional Ownership","volume":"103","author":"Aghion","year":"2009","journal-title":"Am. Econ. Rev."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1419","DOI":"10.3390\/jtaer18030071","article-title":"The interplay of AI adoption, IoT edge, and adaptive resilience to explain digital innovation: Evidence from German family-owned SMEs","volume":"18","author":"Saleem","year":"2023","journal-title":"J. Theor. Appl. Electron. Commer. Res."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"10362","DOI":"10.5465\/AMBPP.2020.10362abstract","article-title":"The relationship between institutional ownership and corporate innovation: A meta-analysis","volume":"2020","author":"Canavati","year":"2020","journal-title":"Acad. Manag. Proc."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.1177\/02666669231166889","article-title":"The critical determinants impacting artificial intelligence adoption at the organizational level","volume":"41","author":"Horani","year":"2025","journal-title":"Inf. Dev."},{"key":"ref_26","unstructured":"Alsheibani, S., Messom, C., Cheung, Y., and Alhosni, M. (2020). Artificial Intelligence Beyond the Hype: Exploring the Organisation Adoption Factors, ACIS."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Wang, T., Lin, X., and Sheng, F. (2022). Digital leadership and exploratory innovation: From the dual perspectives of strategic orientation and organizational culture. Front. Psychol., 13.","DOI":"10.3389\/fpsyg.2022.902693"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1","DOI":"10.33844\/ijol.2024.60396","article-title":"The Mediating Role of Work Engagement in the Relationship Between Digital Leadership and Innovative Behavior and Organizational Agility","volume":"13","author":"Karafakioglu","year":"2024","journal-title":"Int. J. Organ. Leadersh."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"123251","DOI":"10.1016\/j.techfore.2024.123251","article-title":"Artificial intelligence adoption in a professional service industry: A multiple case study","volume":"201","author":"Yang","year":"2024","journal-title":"Technol. Forecast. Soc. Chang."},{"key":"ref_30","doi-asserted-by":"crossref","unstructured":"Tucker, J.W., Wang, J., and Zhao, R. (2025). Corporate use of artificial intelligence and subsequent product market performance. SSRN Electron. J.","DOI":"10.2139\/ssrn.5044024"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Xue, C., and Wang, J. (2025). Artificial intelligence adoption and radical green innovation: Exploring the role of digital resilience and command-and-control environmental regulation. J. Enterp. Inf. Manag.","DOI":"10.1108\/JEIM-07-2024-0383"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"292","DOI":"10.59953\/paperasia.v41i1b.337","article-title":"Re-examining AI adoption antecedents and its potential effect on AI sustained use in small and medium enterprises (SMEs)","volume":"41","author":"Lai","year":"2025","journal-title":"PaperASIA"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Bin-Nashwan, S.A., and Li, J.Z. (2025). What shapes AI adoption in financial service-oriented contexts? The game-changing role of innovation climate. Inf. Discov. Deliv.","DOI":"10.1108\/IDD-12-2024-0199"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"357","DOI":"10.1016\/j.bushor.2024.04.006","article-title":"Adoption of artificial intelligence: A TOP framework-based checklist for digital leaders","volume":"67","author":"Tursunbayeva","year":"2024","journal-title":"Bus. Horiz."},{"key":"ref_35","unstructured":"Benjamin, S., Reger, R., and Pfarrer, M. (2012). Media Coverage of US Wind Power Plants: Does It Generate Electricity?, National University of Ireland Maynooth."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1080\/08838151.2024.2377244","article-title":"Indirect media effects on the adoption of artificial intelligence: The roles of perceived and actual knowledge in the influence of presumed media influence model","volume":"68","author":"Li","year":"2024","journal-title":"J. Broadcast. Electron. Media"},{"key":"ref_37","first-page":"1901","article-title":"Investigating adoption determinants, obstacles, and interventions for AI implementation in Emirati media organizations","volume":"125","author":"Bulhoon","year":"2024","journal-title":"South East. Eur. J. Public Health"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"7","DOI":"10.46630\/msae.1.2024.01","article-title":"AI generative CHATBOT in the media: Journalistic coverage of ChatGPT in Bosnia and Herzegovina","volume":"5","year":"2024","journal-title":"Media Stud. Appl. Ethics"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"690","DOI":"10.1111\/ecca.12458","article-title":"Artificial intelligence adoption in a competitive market","volume":"90","author":"Gans","year":"2023","journal-title":"Economica"},{"key":"ref_40","first-page":"101","article-title":"How does artificial intelligence improve firm productivity? Based on the perspective of labor skill structure adjustment","volume":"40","author":"Yao","year":"2024","journal-title":"Manag. World"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.jfineco.2018.11.012","article-title":"Institutional Investor cliques and governance","volume":"133","author":"Crane","year":"2019","journal-title":"J. Financ. Econ."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Yuan, Y. (2025). Can corporate executives\u2019 educational background in the digital economy promote corporate innovation?. Front. Hum. Dyn., 7.","DOI":"10.3389\/fhumd.2025.1485401"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"108280","DOI":"10.1016\/j.eneco.2025.108280","article-title":"Can artificial intelligence technology improve companies\u2019 capacity for green innovation? Evidence from listed companies in China","volume":"143","author":"Liu","year":"2025","journal-title":"Energy Econ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"e32309","DOI":"10.1016\/j.heliyon.2024.e32309","article-title":"Research on financing and technological innovation efficiency of China\u2019s energy-saving and environmental protection enterprises","volume":"10","author":"Li","year":"2024","journal-title":"Heliyon"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"104570","DOI":"10.1016\/j.iref.2025.104570","article-title":"Supply chain finance and corporate persistent innovation\u2014From the perspective of dynamic capabilities enhancement","volume":"103","author":"Ji","year":"2025","journal-title":"Int. Rev. Econ. Financ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"103324","DOI":"10.1016\/j.resourpol.2023.103324","article-title":"Artificial intelligence, resource reallocation, and corporate innovation efficiency: Evidence from China\u2019s listed companies","volume":"81","author":"Li","year":"2023","journal-title":"Resour. Policy"},{"key":"ref_47","first-page":"519","article-title":"Role of artificial intelligence (AI) adoption and digital transformation in enhancing sustainable business performance: The mediating effect of green product innovation","volume":"10","author":"Mahmood","year":"2024","journal-title":"J. Account. Financ. Emerg. Econ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3680471","article-title":"Navigating the complexity of generative AI adoption in software engineering","volume":"33","author":"Russo","year":"2024","journal-title":"ACM Trans. Softw. Eng. Methodol."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Alekseeva, L., Gin\u00e9, M., Samila, S., and Taska, B. (2020). AI Adoption and Firm Performance: Management versus IT. SSRN J.","DOI":"10.2139\/ssrn.3677237"},{"key":"ref_50","first-page":"172","article-title":"Firm AI adoption intensity and marketing performance","volume":"65","author":"Chen","year":"2025","journal-title":"J. Comput. Inf. Syst."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"100352","DOI":"10.1016\/j.joitmc.2024.100352","article-title":"Synergizing AI and business: Maximizing innovation, creativity, decision precision, and operational efficiency in high-tech enterprises","volume":"10","author":"Ali","year":"2024","journal-title":"J. Open Innov. Technol. Mark. Complex."}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/12\/1062\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,24]],"date-time":"2025-11-24T11:10:39Z","timestamp":1763982639000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/12\/1062"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,24]]},"references-count":51,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2025,12]]}},"alternative-id":["systems13121062"],"URL":"https:\/\/doi.org\/10.3390\/systems13121062","relation":{},"ISSN":["2079-8954"],"issn-type":[{"value":"2079-8954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,24]]}}}