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

Marco Nardello, Charles Møller, John Gøtze

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

3 Citations (Scopus)
110 Downloads (Pure)

Abstract

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 publicationICEIS 2018 - Proceedings of the 20th International Conference on Enterprise Information Systems
EditorsJoaquim Filipe, Olivier Camp, Michal Smialek, Joaquim Filipe, Slimane Hammoudi
Number of pages9
Volume2
PublisherSCITEPRESS Digital Library
Publication dateApr 2018
Pages640-648
ISBN (Print)978-989-758-298-1
ISBN (Electronic)9789897582981
DOIs
Publication statusPublished - Apr 2018
EventInternational Conference on Enterprise Information Systems (ICEIS) - Funchal, Portugal
Duration: 21 Mar 201824 Mar 2018
Conference number: 20

Conference

ConferenceInternational Conference on Enterprise Information Systems (ICEIS)
Number20
Country/TerritoryPortugal
CityFunchal
Period21/03/201824/03/2018

Keywords

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

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