Artificial intelligence capital and business innovation

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. • Developed and validated a 45-item AI Capital for Business scale. • Longitudinal SME study links AI Capital to stronger innovation outcomes. • AI Capital boosts product, process, market, and strategic innovation. • Robust panel data confirms AI Capital as a driver of SME competitiveness. • Policy insights support targeted AI training and inclusive SME innovation.

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Publication Details

Journal
Journal of Strategy & Innovation
Published
2026-03-23
DOI
https://doi.org/10.1016/j.jsinno.2026.200570
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence capital and business innovation

Nick Drydakis
Journal of Strategy & Innovation
AI in Service Interactions
article

Artificial intelligence capital and business innovation

Nick Drydakis
article en

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. • Developed and validated a 45-item AI Capital for Business scale. • Longitudinal SME study links AI Capital to stronger innovation outcomes. • AI Capital boosts product, process, market, and strategic innovation. • Robust panel data confirms AI Capital as a driver of SME competitiveness. • Policy insights support targeted AI training and inclusive SME innovation.

Journal of Strategy & InnovationVol. 37(1)
IZA - Institute of Labor Economics (DE), University of Cambridge (GB), Anglia Ruskin University (GB)
Industry, innovation and infrastructure
Openalex Percentile: Top 14%
AI in Service Interactions
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