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Publicação
Applying Mixed-Methods for Process Mining: A Proposed Model
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| 1.17 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Driven by the 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 existing
processes. As such, there has been little research about the factors that influence the decision of
companies to adopt Process Mining in their organization. Hence, this study aims to develop 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 an exhaustive and tailored
information technology (IT) adoption model for Process Mining. Based on a qualitative pre-study with
expert interviews as well as a comprehensive literature review about various IT adoption theories, we
derived the most essential antecedents of Process Mining adoption and proposed what is to our
knowledge the first Process Mining adoption research model on firm-level.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
Palavras-chave
Process Mining Mixed-Methods Approach Adoption PVT OIPT DOI TOE