Understanding Enterprise Architecture with Topic Modeling: Preliminary Research based on Journal Articles

Marco Nardello, Charles Møller, John Gøtze

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


The next 3 years will be more important than the last 50 due to the digital transformation across industries. Enterprise Architecture (EA), the discipline that should lead enterprise responses to disruptive forces, is far from ready to drive the next wave of change. The state of the art in the discipline is not clear and the understanding among researchers and practitioners is not aligned. To address these problems, we developed a topic model to help structure the field and enable EA to evolve coherently. In this preliminary study, we present the 360 identified topics in EA literature and their evolution over time. Our study supports and combines the findings from previous research and provides both a deeper analysis and more detailed findings.
Original languageEnglish
Title of host publicationProceedings of the 20th International Conference on Enterprise Information Systems (ICEIS 2018)
Number of pages9
PublisherSCITEPRESS Digital Library
Publication dateMay 2018
ISBN (Electronic)978-989-758-298-1
Publication statusPublished - May 2018
EventInternational Conference on Enterprise Information Systems - Hotel Vila Galé Santa Cruz, Funchal, Portugal
Duration: 21 Mar 201824 Mar 2018
Conference number: 20


ConferenceInternational Conference on Enterprise Information Systems
LocationHotel Vila Galé Santa Cruz
Internet address


  • Enterprise Architecture
  • Topic Modelling
  • Content Analysis
  • Research Theme
  • Future Research
  • Machine learning
  • Latent Dirichlet Allocation

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