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A Holistic Categorization Framework for Literature on Engineering Change Management

Author

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  • Bahram Hamraz
  • Nicholas H. M. Caldwell
  • P. John Clarkson

Abstract

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

Suggested Citation

  • Bahram Hamraz & Nicholas H. M. Caldwell & P. John Clarkson, 2013. "A Holistic Categorization Framework for Literature on Engineering Change Management," Systems Engineering, John Wiley & Sons, vol. 16(4), pages 473-505, December.
  • Handle: RePEc:wly:syseng:v:16:y:2013:i:4:p:473-505
    DOI: 10.1002/sys.21244
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    References listed on IDEAS

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    7. Nadia Bhuiyan & Donald Gerwin & Vince Thomson, 2004. "Simulation of the New Product Development Process for Performance Improvement," Management Science, INFORMS, vol. 50(12), pages 1690-1703, December.
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    Cited by:

    1. Edwin C. Y. Koh, 2017. "A study on the Requirements to Support the Accurate Prediction of Engineering Change Propagation," Systems Engineering, John Wiley & Sons, vol. 20(2), pages 147-157, March.

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