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Enterprise Architecture and Agility : A Systematic Mapping Study

Guo, Hong (author)
Anhui University, Hefei, China; Norwegian University of Science and Technology, Trondheim, Norway
Šmite, Darja (author)
Blekinge Tekniska Högskola,Institutionen för programvaruteknik,Norwegian University of Science and Technology, Trondheim, Norway; Blekinge Institute of Technology, Karlskrona, Sweden
Li, Jingyue (author)
Norwegian University of Science and Technology, Trondheim, Norway
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Gao, Shang, 1982- (author)
Örebro universitet,Handelshögskolan vid Örebro Universitet,Örebro University, SWE
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 (creator_code:org_t)
2021-07-02
2021
English.
In: BUSINESS MODELING AND SOFTWARE DESIGN (BMSD 2021). - Cham : Springer Science and Business Media Deutschland GmbH. - 9783030799755 - 9783030799762 ; , s. 296-305
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • This article presents a systematic mapping study of published scientific papers on Enterprise Architecture (EA) and agility. More specifically, we reviewed studies on applying agile practices to EA and applying EA to the organization’s agility. A categorical structure is proposed for classifying the research results based on the extracted topics discussed. The categories include agile traits (i.e., principles and practices), EA practices, and organizational contexts. By mapping the published works and analyzing them, the article also highlights some trends and indicates some obstacles and needs for future research and practice. © 2021, Springer Nature Switzerland AG.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Programvaruteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Software Engineering (hsv//eng)

Keyword

Agility
EA
Enterprise architecture
Systematic mapping study
Agile manufacturing systems
Information systems
Agile practices
Categorical structure
Enterprise agility
Principles and practices
Research results
Scientific papers
Systematic mapping studies
Mapping

Publication and Content Type

ref (subject category)
kon (subject category)

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