Abstract
Driven by digital transformation, Process Mining represents one of the biggest analytical trends in the Software-as-a-Service technology market, providing companies with transparency of their processes in place. As such, there has been little research about what are the factors that influence the decision of companies to adopt Process Mining in their organization. Hence, this study aims on developing a comprehensive research model that sheds light on the most decisive Process Mining adoption drivers among European firms. A Mixed-Method design was applied to ensure a tailored IT adoption model for Process Mining. Based on a qualitative pre-study with expert interviews as well as a thorough literature review about the IT adoption theories of TOE, DOI as well as OIPT we derived the most essential antecedents of Process Mining adoption and proposed to our knowledge the first Process Mining adoption research model on firm-level.
Recommended Citation
Berhold, Maike; Cruz-Jesus, Frederico; and Oliveira, Tiago, "A proposed model for Process Mining Adoption: Using a Mixed-Methods Approach" (2021). CAPSI 2021 Proceedings. 30.
https://aisel.aisnet.org/capsi2021/30