IDEAS home Printed from https://ideas.repec.org/a/spt/admaec/v16y2026i2f16_2_5.html

How Business Model Innovation Affects Carbon Performance of Mobile Phone Industry Chain Enterprises: The Mediating Role of Artificial Intelligence and Green Technology

Author

Listed:
  • Yan-Mei Li
  • Hui-Min Lin
  • Hong-Yu Wu
  • Yi-Fan Gu

Abstract

The question of how enterprises can achieve both economic gains and carbon reduction goals through business model innovation has become an urgent issue requiring attention, as the sector currently navigates a critical period of dual transformations toward intelligence and green development. Using a sample of 133 Chinese smartphone industrial chain enterprises from 2015 to 2022, this study employs methodologies including the two-way fixed effects model, term frequency analysis. It aims to provide both a comprehensive theoretical framework and micro-level empirical evidence for the proposition that business model innovation impacts corporate carbon performance. Regression results demonstrate that business model innovation significantly enhances corporate carbon performance, a result robust to a battery of tests. Mechanism analysis demonstrates that the application of artificial intelligence and green technology innovation serve as mediating channels between business model innovation and carbon performance. Heterogeneity analysis indicates that the carbon performance enhancement effect of business model innovation is more pronounced in state-owned enterprises, firms facing stronger financing constraints, and enterprises positioned in the upstream segments of the supply chain. Continuous efforts in areas such as government guidance and enterprise-driven innovation will be essential in the future to facilitate the achievement of the dual carbon goals.

Suggested Citation

  • Yan-Mei Li & Hui-Min Lin & Hong-Yu Wu & Yi-Fan Gu, 2026. "How Business Model Innovation Affects Carbon Performance of Mobile Phone Industry Chain Enterprises: The Mediating Role of Artificial Intelligence and Green Technology," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 16(2), pages 1-5.
    • Handle: RePEc:spt:admaec:v:16:y:2026:i:2:f:16_2_5
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/AMAE%2fVol%2016_2_5.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Glaeser, Edward L. & Kahn, Matthew E., 2010. "The greenness of cities: Carbon dioxide emissions and urban development," Journal of Urban Economics, Elsevier, vol. 67(3), pages 404-418, May.
    2. Elisa Alt & Emilio Díez-de-Castro & Francisco Lloréns-Montes, 2015. "Linking Employee Stakeholders to Environmental Performance: The Role of Proactive Environmental Strategies and Shared Vision," Journal of Business Ethics, Springer, vol. 128(1), pages 167-181, April.
    3. Heising, Luca M. & Ou, Carol X. J. & Verhaegen, Frank & Wolfs, Cecile J. A. & Hoebers, Frank & Jacobs, Maria J. G., 2024. "Trust in Artificial Intelligence in radiotherapy : A survey," Other publications TiSEM 870b35f8-ded2-401e-b228-4, Tilburg University, School of Economics and Management.
    4. Li, Donghui & Zhang, Zhanxiang & Gao, Xin, 2024. "Does artificial intelligence deter greenwashing?," Finance Research Letters, Elsevier, vol. 67(PB).
    5. Oecd, 2024. "Governing with Artificial Intelligence: Are governments ready?," OECD Artificial Intelligence Papers 20, OECD Publishing.
    6. Xinyue Hao & Fanglin Chen & Zhongfei Chen, 2022. "Does green innovation increase enterprise value?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(3), pages 1232-1247, March.
    7. Oecd, 2024. "Artificial intelligence, data and competition," OECD Artificial Intelligence Papers 18, OECD Publishing.
    8. Oecd, 2024. "Regulatory approaches to Artificial Intelligence in finance," OECD Artificial Intelligence Papers 24, OECD Publishing.
    9. Ahmed Abbasi & Jeffrey Parsons & Gautam Pant & Olivia R. Liu Sheng & Suprateek Sarker, 2024. "Pathways for Design Research on Artificial Intelligence," Information Systems Research, INFORMS, vol. 35(2), pages 441-459, June.
    10. Oecd, 2024. "Artificial Intelligence and tourism: G7/OECD policy paper," OECD Tourism Papers 2024/02, OECD Publishing.
    11. Mauro Cazzaniga & Ms. Florence Jaumotte & Longji Li & Mr. Giovanni Melina & Augustus J Panton & Carlo Pizzinelli & Emma J Rockall & Ms. Marina Mendes Tavares, 2024. "Gen-AI: Artificial Intelligence and the Future of Work," IMF Staff Discussion Notes 2024/001, International Monetary Fund.
    12. Daron Acemoglu & Pascual Restrepo, 2022. "Demographics and Automation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 89(1), pages 1-44.
    13. Eric Langlais & Nanxi Li, 2024. "Which Liability Laws for Artificial Intelligence?," Working Papers hal-04638448, HAL.
    14. Ragimova & Abdullayev & Mirzoyeva & Mirzoyeva, 2024. "Application of Artificial Intelligence in Dentistry," Health Leadership and Quality of Life, AG Editor, vol. 3, pages 1-.454.
    15. Changwei Pang & Qiong Wang & Yuan Li & Guang Duan, 2019. "Integrative capability, business model innovation and performance," European Journal of Innovation Management, Emerald Group Publishing Limited, vol. 22(3), pages 541-561, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Safari, Ashkan & Oshnoei, Arman & Blaabjerg, Frede, 2025. "A review of recent AI applications in next-generation power electronics," Applied Energy, Elsevier, vol. 402(PA).
    2. Yang ZHANG & Ziang QIU Ziang & Donghyun PARK & Shu TIAN, 2026. "Role of Artificial Intelligence in Finance: Selective Literature Review and Implications for Asia's Financial Stability," Working Papers wp61, South East Asian Central Banks (SEACEN) Research and Training Centre, revised Feb 2026.
    3. Alexandrov, Georgii A., 2025. "When does artificial intelligence replace process-based models in ecological modelling?," Ecological Modelling, Elsevier, vol. 499(C).
    4. Ahmed Chafai & Rym Oueslati & Hatem Salah, 2025. "Innovation Activities and Sustainable Firm Growth in Arab Countries: The Role of Bank Funding, Institutional Quality and Bank Competition," Working Papers 1819, Economic Research Forum, revised 20 Dec 2025.
    5. Junhui Jeff Cai & Xian Gu & Liugang Sheng & Mengjia Xia & Linda Zhao & Wu Zhu, 2025. "AI as "Co-founder": GenAI for Entrepreneurship," Papers 2512.06506, arXiv.org.
    6. Radeef Chundakkadan & Subash Sasidharan & Kausik Chaudhuri, 2025. "Automation, firm performance, and employment: Evidence from developing countries," Journal of Evolutionary Economics, Springer, vol. 35(5), pages 873-900, November.
    7. Grzegorz Czapski & Mariusz Pyra, 2026. "Artificial Intelligence in Economic Education: Adoption, Uses and Student Perceptions in Higher Education," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 551-568.
    8. gert Bijnens & Joep Konings & Aaron Putseys, 2025. "Unveiling the J-curve: How Intangibles Drive Productivity Mismeasurement," Working Papers of VIVES - Research Centre for Regional Economics 779815, KU Leuven, Faculty of Economics and Business (FEB), VIVES - Research Centre for Regional Economics.
    9. repec:aou:nszioz:y:2025:i:4:p:57-72 is not listed on IDEAS
    10. Brodzicki, Tomasz, 2024. "Heterogeneous Firms and AI Adoption. Dynamic Insights into Market Structure and Global Trade," MPRA Paper 127767, University Library of Munich, Germany, revised 01 Apr 2025.
    11. Thompson, Jamie & Igarashi, Reika & Krowinska, Agata & Logan-McFarlane, Ashleigh, 2025. "Is it real or not? construction of meaning and identity in virtual influencer marketing," Journal of Business Research, Elsevier, vol. 194(C).
    12. Zheng, Jianwen & Zhang, Justin Zuopeng & Kamal, Muhammad Mustafa & Liang, Xiaoyang & Alzeiby, Ebtesam Abdullah, 2025. "Unpacking human-AI interaction: Exploring unintended consequences on employee Well-being in entrepreneurial firms through an in-depth analysis," Journal of Business Research, Elsevier, vol. 196(C).
    13. Rahayu Mohd Sehat & Hanafiah Hasin & Zaleha Mahat & Anita Jamil & Mazlan Salleh & Muhammad Arif Hakimy Syamsul Kahar, 2025. "Motivation and Perceived Learning Benefits in the Use of AI-Assisted Learning Tools: Evidence from Higher Education in Malaysia," Information Management and Business Review, AMH International, vol. 17(3), pages 57-67.
    14. Zhou, Ke & Zhong, Xiang & Shao, Haidong & Zhang, Haomiao & Liu, Bin, 2025. "DT-PPO: A Real-Time multisensor-driven predictive maintenance framework," Reliability Engineering and System Safety, Elsevier, vol. 262(C).
    15. Ofori, Isaac K. & Veling, Louise & Cullen, John, 2026. "Frontier Technology Adoption and Inclusive Green Growth in the EU: A Double-edged Sword?," EconStor Preprints 335106, ZBW - Leibniz Information Centre for Economics.
    16. Sigale Dadirai Mweha, 2026. "Operationalising Ethical AI: A Governance Framework for Generative AI Adoption in Sub-Saharan African SMEs," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 10(1), pages 1245-1257, January.
    17. Anna Katashvili & Eka Gegeshidze, 2025. "AI-Powered HR Platforms: Transforming Workforce Management Through Intelligent Systems," International Journal of Business and Management, International Institute of Social and Economic Sciences, vol. 12(2), pages 13-23, October.
    18. Shiaw Tong Ha & May Chiun Lo & Abang Azlan Mohamad, 2026. "Empowering SME Potential: How AI Information Quality Fuels Market Orientation Success in the Digital Age," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 17(1), pages 2469-2489, February.
    19. Demombynes, Gabriel & Langbein, Jorg Gero & Weber, Michael, 2025. "The Exposure of Workers to Artificial Intelligence in Low- and Middle-Income Countries," Policy Research Working Paper Series 11057, The World Bank.
    20. Muhammad Faizal Samat, 2025. "The Impact of Cashless Payment Adoption on the Performance of Small and Medium Enterprises in Malaysia," GATR Journals gjbssr662, Global Academy of Training and Research (GATR) Enterprise.
    21. Chang, Chia-Yang (Mac) & Park, Sungjun (Steven) & Dinh, Minh Cong, 2026. "Advice by Algorithms: Dual Dimensions of Trust in AI Financial Service Adoption," Journal of Retailing and Consumer Services, Elsevier, vol. 88(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spt:admaec:v:16:y:2026:i:2:f:16_2_5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.