Analyzing research communities in Enterprise Architecture : A Data-Driven Systematic Literature Review
Abstract: The field of Enterprise Architecture (EA) emerged as an answer to the increasing complexity in managing and aligning the business-IT relationship within enterprises. Both practitioners and academics have expressed interest in the field, with a growing number of publicized works related to EA. In an attempt to provide an outlook of the current research landscape of EA, a systematic literature review was conducted. Citation data from the Scopus (Elsevier) API were automatically extracted and analyzed. By applying the Louvain method on the collected data, 8 research communities and their topic were identified: (1) Enterprise Engineering (I & II), (2) Enterprise Architecture Management, (3) Enterprise Modelling, (4) IT Architecture, (5) Enterprise Integration, (6) Digital Transformation, and (7) Smart Cities. For each community, a summarized description with sub-community graphs as well as tables (describing the top authors, articles, and affiliation countries) are presented. Lastly, a comparison of the results and the EA trends identified by Gampfer et al. are presented.
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