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Start‐Up Employees Adoption of AI Technology for Innovation Ecosystems: An In‐Depth Exploration

Year: 2025

Type: article

Abstract: ABSTRACT This paper presents findings from a qualitative study that explored the factors affecting start‐up employees' adoption of AI technology for innovation ecosystems. Using thematic analysis based on interviews with 35 employees from start‐ups, we employed a grounded theory approach due to the newness of the context and the limited prior research. Our analysis identified several key themes, including perceived benefits of AI, technical considerations, organizational culture and values, employee attitudes and beliefs, access to resources, legal and ethical considerations, and industry‐specific factors. We found that technical considerations, such as data quality and technical infrastructure, played a significant role in determining AI adoption. Additionally, organizational culture and values were important in shaping employees' attitudes towards AI. Our study highlights the importance of addressing both technical and cultural factors when promoting the adoption of AI technology for innovation ecosystems in start‐ups. Our findings provide valuable insights for start‐up managers, policy makers, and researchers seeking to better understand the factors influencing AI adoption in this context.

Source: R and D Management

DOI: 10.1111/radm.12769

Authors: Ioannis Rizomyliotis, Kleopatra Konstantoulaki, Enrico Battisti, Binh Do

Institutions: University of West Attica, University of Turin, Thuongmai University

Language: English

Topic: Technology Adoption and User Behaviour

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

SDGs: Decent work and economic growth, Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $3,620