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Multi-objective multi-customer project network: visualising interdependencies and influences

Multi-objective multi-customer project network: visualising interdependencies and influences Project management methods involve elements planning, organising and managing the effort to accomplish successful projects. Such activities produce specific outputs. However, there is a lack of model visually describing project level interdependencies and influences in portfolios. The aim of this paper was to extend previous research (Stumpe and Katina, 2017) by developing a visualisation approach for dependencies in a multi-objective multi-customer project. Using a network analysis tool, 'NodeXL' different nodes and project node-node dependencies are developed based a case study. The rules for developing a network are the basis for the model. After model construction, which involves key performance indicators as well as internal and external disturbances, a case study involving over 1,000 projects is analysed. We found that soft and hardlinks in the project can be explained using meme theory. Finally, the research concludes with research implications as well as potential research directions. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of System of Systems Engineering Inderscience Publishers

Multi-objective multi-customer project network: visualising interdependencies and influences

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1748-0671
eISSN
1748-068X
DOI
10.1504/IJSSE.2019.100338
Publisher site
See Article on Publisher Site

Abstract

Project management methods involve elements planning, organising and managing the effort to accomplish successful projects. Such activities produce specific outputs. However, there is a lack of model visually describing project level interdependencies and influences in portfolios. The aim of this paper was to extend previous research (Stumpe and Katina, 2017) by developing a visualisation approach for dependencies in a multi-objective multi-customer project. Using a network analysis tool, 'NodeXL' different nodes and project node-node dependencies are developed based a case study. The rules for developing a network are the basis for the model. After model construction, which involves key performance indicators as well as internal and external disturbances, a case study involving over 1,000 projects is analysed. We found that soft and hardlinks in the project can be explained using meme theory. Finally, the research concludes with research implications as well as potential research directions.

Journal

International Journal of System of Systems EngineeringInderscience Publishers

Published: Jan 1, 2019

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