@inproceedings{fb0b1c4a05c14b0081b8aeb848bdb907,
title = "Clustering organization structure in product development projects using similarity",
abstract = "A product development (PD) project is a complex social network, in which teams have their own attributes and are related by information flow. Similar team attributes and the complex patterns of technical dependency among teams both affect organization modularity. This paper provides an innovative spectral clustering approach that merge team attributes and relationship of teams. To measure the similarity of PD teams, we analyze the similar attributes of team and build structural models to capture the technical communication dependency among teams via the product-organization multi-domain matrix (MDM). We use two metrics to evaluate the clustering solutions and confirm that the proposed approach provides effective reduction of PD coordination complexity.",
author = "Na Yang and Qing Yang and Tao Yao",
note = "Publisher Copyright: {\textcopyright} 2018 Lehrstuhl f{\"u}r Produktentwicklung und Leichtbau.; 20th International Dependency and Structure Modeling Conference, DSM 2018 ; Conference date: 15-10-2018 Through 17-10-2018",
year = "2018",
language = "English (US)",
series = "Proceedings of the 20th International Dependency and Structure Modeling Conference, DSM 2018",
publisher = "Lehrstuhl fur Produktentwicklung und Leichtbau",
pages = "59--66",
editor = "Lucia Becerril and Carlo Leardi and Browning, {Tyson R.} and Eppinger, {Steven D.}",
booktitle = "Proceedings of the 20th International Dependency and Structure Modeling Conference, DSM 2018",
}