Machine Learning Adoption based on the TOE Framework: A Quantitative Study

Authors

Anne Zöll, TU DarmstadtFollow
Verena Eitle, Technische Universität DarmstadtFollow
Peter Buxmann, Technische Universität DarmstadtFollow

Paper Number

1445

Abstract

The increasing use of machine learning (ML) in businesses is ubiquitous in research and in practice. Even though ML has become one of the key technologies in recent years, organizations have difficulties adopting ML applications. Implementing ML is a challenging task for organizations due to its new programming paradigm and the significant organizational changes. In order to increase the adoption rate of ML, our study seeks to examine which generic and specific factors of the technological-organizational-environmental (TOE) framework leverage ML adoption. We validate the impact of these factors on ML adoption through a quantitative research design. Our study contributes to research by extending the TOE framework by adding ML specifications and demonstrating a moderator effect of firm size on the relationship between technology competence and ML adoption.

Comments

Paper Number 1445

Recommended Citation

Zöll, Anne; Eitle, Verena; and Buxmann, Peter, "Machine Learning Adoption based on the TOE Framework: A Quantitative Study" (2022). PACIS 2022 Proceedings. 131.
https://aisel.aisnet.org/pacis2022/131