Abstract
To date, the use of artificial intelligence (AI) to shape the business models of high-growth enterprises (HGEs) remains an unexplored research topic. The article aims to examine the use of artificial intelligence to build business models for high-growth enterprises, considering the heterogeneity of these entities. The empirical research aimed to answer the following questions: (1) Does the use of artificial intelligence to build individual components of the business model depend on the size of the HGE? 2. Does the use of artificial intelligence to build individual components of the business model depend on the age of the HGE?
The study was conducted in the second half of 2024 on a sample of 200 Polish high-growth enterprises that declared using AI in their business activities. Data were collected through a survey questionnaire. The survey questions were derived from the assumptions of building a business model based on three value components: value proposition, value creation and delivery, and value capture. The chi-square test, the Kruskal-Wallis test, and measures of dependence for immeasurable features were used to address the research questions.
It has been shown that statistically significant relationships exist only between individual value components and the size of the enterprise when these components are perceived as the average of the values of the variables that comprise them. It has also been shown that the values of these components are differentiated by enterprise size.
The novelty of the article is the research on the use of AI to build business models for high-growth enterprises, accounting for their heterogeneity.
The article is addressed to scientific researchers and business practitioners, particularly those dealing with issues related to building business models and using AI to create value.