Artificial Intelligence and Entrepreneurship

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    A Maturity Model for Data-Driven Service Innovation
    (2025-01-07) Jesenko, Berndt; Thalmann, Stefan
    One application of AI in the context of entrepreneurship is in Data-Driven Service Innovation (DDSI) processes. However, it is not yet clear how organisations utilise data-driven technologies in general and AI in particular to enhance their service innovation processes. Therefore, this study was conducted to investigate capabilities needed to implement a DDSI process successfully. We identified three maturity levels and propose a DDSI Maturity Model. The first two maturity levels, which involve the use of data-driven technologies to trigger the service innovation process and to develop services, respectively, can be found in practice. The third level represents the next step that examines how a DDSI process can support the generation of high-potential service innovations such as data-driven business models supported by Artificial Intelligence. On each maturity level, we defined the required data-driven innovation capabilities. We found that the three maturity levels require different capabilities for their successful implementation.
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    AI Adoption in Entrepreneurial Firms: The Influence of Innovativeness, Proactiveness, and Risk-Taking
    (2025-01-07) Dixon, Leonard; Sebesta, John
    This study investigates how Entrepreneurial Orientation (EO), comprising of innovativeness, proactiveness, and risk-taking, influences the adoption of artificial intelligence (AI) within entrepreneurial firms. Using the Technology Acceptance Model (TAM) as a theoretical framework, data were collected from 324 entrepreneurs through an online survey, designed to capture their perspectives on AI adoption without priming participants toward specific AI technologies. The findings reveal that firms exhibiting higher levels of EO are significantly more likely to adopt AI. This research expands the application of EO and TAM in the context of AI adoption, providing critical insights for understanding how entrepreneurial firms approach emerging technologies. By laying a foundation for future research, this study encourages the exploration of AI adoption through qualitative and mixed-method approaches, offering a pathway for a deeper understanding of the strategic role AI plays in small businesses.
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    Introduction to the Minitrack on Artificial Intelligence and Entrepreneurship
    (2025-01-07) Akaka, Melissa; Key, Martin; Sebesta, John; Schau, Hope