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A MULTILAYER GRAPH NETWORK-BASED TOOL FOR IDENTIFYING KEY PROJECT ACTORS

Published online by Cambridge University Press:  19 June 2023

Shlomi Efrati  and
Yoram Reich
Shlomi Efrati*
Affiliation:
Tel-Aviv University
Yoram Reich
Affiliation:
Tel-Aviv University
*
Efrati, Shlomi, Tel-Aviv University, Israel, [email protected]

Abstract

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As the demands for new complex products/services increase, leading to strict constraints on budget and time-to-market, it is hard to learn from experience and improve practice. Improvement can be exercised in all aspects contributing to project management: the skill set of project personnel, the project structure, and the development process. People are the key asset of the project. Identifying the key participants in a project whose role is influential is important for improving the project's success. These people can receive support, remove their burdens, make sure their communication channels work well, etc. This paper offers a multilayer network-based method to examine an actor's influence in a project while combining two additional organizational key aspects: products and processes. Considering these three aspects together allows for a more informed evaluation of the actors' influence on the project. Using the insight from graph theory, we gain indicators related to each network actor. The influence of the actors in a multidimensional network makes it possible to present a clearer picture to decision-makers in the organization to make better decisions related to increasing the effectiveness of the development project.

Keywords

Project managementDesign managementOrganizational processesTeamwork
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 303 - 312
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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