IDEAS home Printed from https://ideas.repec.org/p/zbw/glodps/1723.html

Artificial Intelligence Capital and Business Innovation

Author

Listed:
  • Drydakis, Nick

Abstract

Artificial intelligence (AI) is increasingly recognised as a key driver of business innovation, yet its adoption among small and medium-sized enterprises (SMEs) varies considerably. This study examines whether AI Capital, defined as AI-related knowledge, skills and capabilities, is associated with business innovation among SMEs in England. Using a two-wave longitudinal panel dataset comprising 504 observations from SMEs collected in 2024 and 2025, the study develops and validates a 45-item AI Capital of Business scale. Business innovation is measured across five dimensions: product and service innovation, process innovation, technology adoption, market and customer engagement, and organisational culture and strategy. Regression models, including pooled OLS, Random Effects, and Fixed Effects specifications, are employed. The findings reveal a robust positive association between AI Capital and business innovation across all model specifications. This association holds across all business innovation dimensions and remains consistent for SMEs with differing levels of financial performance, size, and operational maturity. Each component of AI Capital independently exhibits a positive association with business innovation outcomes. The results highlight the central role of AI Capital in enabling SMEs to translate AI adoption into tangible business innovation. From a policy perspective, the findings indicate the value of targeted interventions that prioritise AI upskilling, organisational capability development, and accessible support mechanisms to promote inclusive and sustainable AI-driven business innovation among SMEs.

Suggested Citation

  • Drydakis, Nick, 2026. "Artificial Intelligence Capital and Business Innovation," GLO Discussion Paper Series 1723, Global Labor Organization (GLO).
  • Handle: RePEc:zbw:glodps:1723
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/338596/1/GLO-DP-1723.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daron Acemoglu & David Autor & Jonathon Hazell & Pascual Restrepo, 2022. "Artificial Intelligence and Jobs: Evidence from Online Vacancies," Journal of Labor Economics, University of Chicago Press, vol. 40(S1), pages 293-340.
    2. Nick Drydakis, 2024. "Artificial intelligence capital and employment prospects," Oxford Economic Papers, Oxford University Press, vol. 76(4), pages 901-919.
    3. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
    4. Agustí Segarra-Blasco & Josep Tomàs-Porres & Mercedes Teruel, 2025. "AI, robots and innovation in European SMEs," Small Business Economics, Springer, vol. 65(1), pages 719-745, June.
    5. Gary S. Becker, 1962. "Investment in Human Capital: A Theoretical Analysis," Journal of Political Economy, University of Chicago Press, vol. 70(5), pages 1-9.
    6. Mariani, Marcello M. & Machado, Isa & Magrelli, Vittoria & Dwivedi, Yogesh K., 2023. "Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions," Technovation, Elsevier, vol. 122(C).
    7. Drydakis, Nick, 2025. "AI Business Applications Training and Business Outcomes: An Inclusive Intervention for Underrepresented Entrepreneurs," IZA Discussion Papers 18143, IZA Network @ LISER.
    8. Andrew Bell & Malcolm Fairbrother & Kelvyn Jones, 2019. "Fixed and random effects models: making an informed choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1051-1074, March.
    9. Canhoto, Ana Isabel & Clear, Fintan, 2020. "Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential," Business Horizons, Elsevier, vol. 63(2), pages 183-193.
    10. Alfonso Expósito & Juan A. Sanchis-Llopis, 2019. "The relationship between types of innovation and SMEs’ performance: a multi-dimensional empirical assessment," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(2), pages 115-135, June.
    11. Minna Saunila, 2016. "Performance measurement approach for innovation capability in SMEs," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 65(2), pages 162-176, February.
    12. Arroyabe, Marta F. & Arranz, Carlos F.A. & Fernandez De Arroyabe, Ignacio & Fernandez de Arroyabe, Juan Carlos, 2024. "Analyzing AI adoption in European SMEs: A study of digital capabilities, innovation, and external environment," Technology in Society, Elsevier, vol. 79(C).
    13. Julia Schwaeke & Anna Peters & Dominik K. Kanbach & Sascha Kraus & Paul Jones, 2025. "The new normal: The status quo of AI adoption in SMEs," Journal of Small Business Management, Taylor & Francis Journals, vol. 63(3), pages 1297-1331, May.
    14. Drydakis, Nick, 2025. "AI Business Applications Training and Business Outcomes: An Inclusive Intervention for Underrepresented Entrepreneurs," GLO Discussion Paper Series 1670, Global Labor Organization (GLO).
    15. Minna Saunila, 2016. "Performance measurement approach for innovation capability in SMEs," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 65(2), pages 162-176, February.
    16. Pritika Reddy & Bibhya Sharma & Kaylash Chaudhary, 2020. "Digital Literacy: A Review of Literature," International Journal of Technoethics (IJT), IGI Global Scientific Publishing, vol. 11(2), pages 65-94, July.
    17. Wang, Shaofeng & Zhang, Hao, 2025. "Generative artificial intelligence and internationalization green innovation: Roles of supply chain innovations and AI regulation for SMEs," Technology in Society, Elsevier, vol. 82(C).
    18. Campbell, Colin & Sands, Sean & Ferraro, Carla & Tsao, Hsiu-Yuan (Jody) & Mavrommatis, Alexis, 2020. "From data to action: How marketers can leverage AI," Business Horizons, Elsevier, vol. 63(2), pages 227-243.
    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. Drydakis, Nick, 2026. "Artificial Intelligence Capital and Business Innovation," IZA Discussion Papers 18476, IZA Network @ LISER.
    2. Standaert, Thomas & Andries, Petra, 2026. "Overcoming difficulties in knowledge transfer: Harnessing the power of AI to drive process innovation," Technovation, Elsevier, vol. 149(C).
    3. Flavio Calvino & Luca Fontanelli, 2026. "Decoding AI: an early look at how French firms use AI," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 16(1), pages 51-93, March.
    4. Robertson, Jeandri & Ferreira, Caitlin & Botha, Elsamari & Oosthuizen, Kim, 2024. "Game changers: A generative AI prompt protocol to enhance human-AI knowledge co-construction," Business Horizons, Elsevier, vol. 67(5), pages 499-510.
    5. Ju Han Yeon & Seung-hwan Jang, 2023. "The Relation between Bio-Industry Performance and Innovation Capacity—Focusing on the Korean Bio-Industry," Sustainability, MDPI, vol. 15(9), pages 1-17, April.
    6. Robertson, Jeandri & Botha, Elsamari & Oosthuizen, Kim & Montecchi, Matteo, 2025. "Managing change when integrating artificial intelligence (AI) into the retail value chain: The AI implementation compass," Journal of Business Research, Elsevier, vol. 189(C).
    7. Li, Chia-Ying & Zhang, Jin-Ting, 2023. "Chatbots or me? Consumers’ switching between human agents and conversational agents," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    8. Nick Drydakis, 2024. "Artificial intelligence capital and employment prospects," Oxford Economic Papers, Oxford University Press, vol. 76(4), pages 901-919.
    9. Drydakis, Nick, 2025. "The Formation of AI Capital in Higher Education: Enhancing Students’ Academic Performance and Employment Rates," IZA Discussion Papers 18138, IZA Network @ LISER.
    10. Malisah Latip & Ismawati Sharkawi & Zainalabidin Mohamed, 2025. "Enhancing Sustainability Practices in Malaysian Food Manufacturing SMEs: The Mediating Effect of Innovation Capability," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 32(3), pages 4035-4052, May.
    11. Dawei (David) Zhang & Gang Peng & Yuliang Yao & Tyson R. Browning, 2024. "Is a College Education Still Enough? The IT-Labor Relationship with Education Level, Task Routineness, and Artificial Intelligence," Information Systems Research, INFORMS, vol. 35(3), pages 992-1010, September.
    12. Nick Drydakis, 2022. "Artificial Intelligence and Reduced SMEs’ Business Risks. A Dynamic Capabilities Analysis During the COVID-19 Pandemic," Information Systems Frontiers, Springer, vol. 24(4), pages 1223-1247, August.
    13. Choi, Taelim & Leigh, Nancey Green, 2024. "Artificial intelligence's creation and displacement of labor demand," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    14. Minniti, Antonio & Prettner, Klaus & Venturini, Francesco, 2025. "AI innovation and the labor share in European regions," European Economic Review, Elsevier, vol. 177(C).
    15. Armanda Cetrulo & Dario Guarascio & Maria Enrica Virgillito, 2024. "Two neglected origins of inequality: hierarchical power and care work," LEM Papers Series 2024/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    16. Nick Drydakis, 2022. "Improving Entrepreneurs’ Digital Skills and Firms’ Digital Competencies through Business Apps Training: A Study of Small Firms," Sustainability, MDPI, vol. 14(8), pages 1-23, April.
    17. Flavio Calvino & Luca Fontanelli, 2025. "Decoding AI: Nine facts about how firms use artificial intelligence in France," LEM Papers Series 2025/13, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    18. Luca Fontanelli & Flavio Calvino & Chiara Criscuolo & Lionel Nesta & Elena Verdolini, 2024. "The role of human capital for AI adoption: Evidence from French firms," Post-Print hal-05029748, HAL.
    19. Black, J. Stewart & van Esch, Patrick, 2020. "AI-enabled recruiting: What is it and how should a manager use it?," Business Horizons, Elsevier, vol. 63(2), pages 215-226.
    20. Flavio Calvino & Luca Fontanelli, 2023. "Artificial intelligence, complementary assets and productivity: evidence from French firms," LEM Papers Series 2023/35, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O39 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Other

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:glodps:1723. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/glabode.html .

    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.