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A Holistic Categorization Framework for Literature on Engineering Change Management
Author(s) -
Hamraz Bahram,
Caldwell Nicholas H. M.,
Clarkson P. John
Publication year - 2013
Publication title -
systems engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.474
H-Index - 50
eISSN - 1520-6858
pISSN - 1098-1241
DOI - 10.1002/sys.21244
Subject(s) - categorization , scope (computer science) , context (archaeology) , field (mathematics) , computer science , knowledge management , data science , systematic review , citation , process (computing) , requirements engineering , management science , change management (itsm) , process management , engineering , artificial intelligence , political science , operations management , world wide web , geography , mathematics , archaeology , medline , software , lean manufacturing , pure mathematics , law , programming language , operating system
Engineering changes are inevitable and might propagate within and across multiple boundaries. Their management has increasingly become relevant within the interdisciplinary field of systems engineering. A few literature categorization frameworks arising from literature reviews have been proposed to structure the research field of engineering change management. However, the literature reviews are limited in scope, and the existing categorization frameworks do not provide sufficient coverage of the research field in its broader context. This paper addresses both shortcomings. First, a new, holistic and process‐oriented literature categorization framework is proposed. Second, this proposed framework is used to categorize a comprehensive list of 427 publications in engineering change management. This categorization highlights not only research areas which have gained much attention, but also those where little research has been done. Third, a citation analysis is conducted which reveals the links between the publications and indicates the most cited publications. The result of this paper will help researchers and managers to (1) navigate through the state of the art in engineering change management, (2) position their work in the overall picture of engineering change management, (3) focus on the identified research gaps and weak points, and (4) search for further research and improvement opportunities. ©2013 Wiley Periodicals, Inc. Syst Eng 16

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