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Factors Affecting the Adoption of AI by Organizations - From the Perspective of Knowledge Workers

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Collaborative Networks in Digitalization and Society 5.0 (PRO-VE 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 688))

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Abstract

The role of artificial intelligence (AI) solutions is growing in all types of organizations. AI is embraced in the hope of increased productivity, quality and satisfaction at work. Therefore, it is essential to study the factors that influence the adoption of AI. This research is conducted as a survey among knowledge workers. Previous research indicates that large organizations tend to adopt new technologies faster than smaller ones. According to our findings, this also holds for the adoption of AI. Furthermore, in organizations that have adopted AI-enabled technologies, employees keep their knowledge and skills up to date by independent and self-driven study more often than the employees of organizations with a lower degree of AI adoption. The research results also indicate that, especially in large organizations where the rate of AI adoption is high, the extent to which the employees may affect the software and hardware they use, is also high.

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Acknowledgements

The research presented in this paper is supported partly by the “TT-TOY: AI comes: support, competences and collaboration into order” project funded by the Finnish Institute of Occupational Health and the “AI Driver! - Digital Business Transformation, Human AI Interaction in Service Business and Open Education” project funded by the Finnish Ministry of Education and Culture.

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Authors and Affiliations

  1. Haaga-Helia University of Applied Sciences, Helsinki, Finland

    Lili Aunimo, Janne Kauttonen, Anna Lahtinen, Altti Lagstedt & Ari Alamäki

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  1. Lili Aunimo
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  2. Janne Kauttonen
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  3. Anna Lahtinen
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  4. Altti Lagstedt
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  5. Ari Alamäki
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Correspondence to Lili Aunimo .

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Editors and Affiliations

  1. Universidade Nova de Lisboa, Monte Caparica, Portugal

    Luis M. Camarinha-Matos

  2. Mines Saint-Étienne, Univ Clermont, Saint-Étienne, France

    Xavier Boucher

  3. Polytechnic University of Valencia, Valencia, Spain

    Angel Ortiz

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Aunimo, L., Kauttonen, J., Lahtinen, A., Lagstedt, A., Alamäki, A. (2023). Factors Affecting the Adoption of AI by Organizations - From the Perspective of Knowledge Workers. In: Camarinha-Matos, L.M., Boucher, X., Ortiz, A. (eds) Collaborative Networks in Digitalization and Society 5.0. PRO-VE 2023. IFIP Advances in Information and Communication Technology, vol 688. Springer, Cham. https://doi.org/10.1007/978-3-031-42622-3_33

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  • DOI: https://doi.org/10.1007/978-3-031-42622-3_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-42621-6

  • Online ISBN: 978-3-031-42622-3

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