Abstract
Machine learning (ML) gives organizations the power to predict the future, and this has become a core element of modern enterprises. Three contexts, grounded in the technology-organizational-environmental (TOE) framework, were scrutinized to explain ML adoption. Data collected from 319 firms are used to test conceptual model. Additionally, this study investigates the use of process sophistication and mimetic pressures as moderators. The significance of the technological, organizational, and environmental contexts for ML adoption is confirmed. Furthermore, the moderator influence of mimetic pressures and process sophistication between the technological and organizational context and ML adoption was confirmed.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
