TY - GEN
T1 - Identifying core teams in product development organizational networks from the perspectives of dependency and similarity
AU - Yang, Na
AU - Yang, Qing
AU - Razika, Malek
AU - Yao, Tao
N1 - Funding Information:
This study was supported by the National Natural Science Foundation of China (No. 71472013, 71528005 and 71872011.).
Publisher Copyright:
© 2019 Association for Computing Machinery.
PY - 2019/1/12
Y1 - 2019/1/12
N2 - In product development (PD) projects, coordinating the complex patterns of technical dependency among teams is a fundamental challenge. Many models of product development are concerned with managing the decomposition and integration of teams. However, identifying core teams who lead to wider spreading of influence in organization networks has practical value. In our proposed approach, we build structural models to capture the technical communication dependencies among teams via the extended multi-domain matrix (EMDM). Then, we select the most influential "core teams" from modularized organizational network by the modified LeaderRank algorithm. We propose the similarity index as a measure of the local importance of team and comprehensively consider the local importance and global importance of the team in the organizational network. Finally, we link the results to recommendations for the management of complex PD organizational networks.
AB - In product development (PD) projects, coordinating the complex patterns of technical dependency among teams is a fundamental challenge. Many models of product development are concerned with managing the decomposition and integration of teams. However, identifying core teams who lead to wider spreading of influence in organization networks has practical value. In our proposed approach, we build structural models to capture the technical communication dependencies among teams via the extended multi-domain matrix (EMDM). Then, we select the most influential "core teams" from modularized organizational network by the modified LeaderRank algorithm. We propose the similarity index as a measure of the local importance of team and comprehensively consider the local importance and global importance of the team in the organizational network. Finally, we link the results to recommendations for the management of complex PD organizational networks.
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U2 - 10.1145/3312662.3312702
DO - 10.1145/3312662.3312702
M3 - Conference contribution
AN - SCOPUS:85064979460
T3 - ACM International Conference Proceeding Series
SP - 97
EP - 101
BT - ICMSS 2019 - Proceedings of 2019 3rd International Conference on Management Engineering, Software Engineering and Service Sciences
PB - Association for Computing Machinery
T2 - 3rd International Conference on Management Engineering, Software Engineering and Service Sciences, ICMSS 2019
Y2 - 12 January 2019 through 14 January 2019
ER -