TY - GEN
T1 - The effects of teams' initial characterizations of interactions on product development performance.
AU - Songhori, Mohsen Jafari
AU - Jalali, Mohammad S.
AU - Terano, Takao
N1 - DBLP's bibliographic metadata records provided through http://dblp.org/search/publ/api are distributed under a Creative Commons CC0 1.0 Universal Public Domain Dedication. Although the bibliographic metadata records are provided consistent with CC0 1.0 Dedication, the content described by the metadata records is not. Content may be subject to copyright, rights of privacy, rights of publicity and other restrictions.
PY - 2017
Y1 - 2017
N2 - Coordinated search processes are pervasive in both organizations and product development projects. In such processes, designers with different specialties learn about their interdependent alternatives through a mutual adjustment process. In the context of a product development with several teams developing the new product's subsystems, and using reinforcement learning and agent-based simulation modeling, this study looks at the performance effects of design teams' initial mental characterizations about subsystem interactions. The focus is on two initial mental models, one in which teams over-weight their own subsystem's element interactions, and another, in which teams over-weighting interactions between subsystems. The results indicate that both initial representations have critical performance consequences for product development. Specifically, teams prioritizing their interactions of their own subsystem's elements gain short-run performance benefits as they converge to a local optimum in a short time period. Contrarily, over-weighting between-subsystem interactions leads to a tendency for teams to have long-run performance advantages.
AB - Coordinated search processes are pervasive in both organizations and product development projects. In such processes, designers with different specialties learn about their interdependent alternatives through a mutual adjustment process. In the context of a product development with several teams developing the new product's subsystems, and using reinforcement learning and agent-based simulation modeling, this study looks at the performance effects of design teams' initial mental characterizations about subsystem interactions. The focus is on two initial mental models, one in which teams over-weight their own subsystem's element interactions, and another, in which teams over-weighting interactions between subsystems. The results indicate that both initial representations have critical performance consequences for product development. Specifically, teams prioritizing their interactions of their own subsystem's elements gain short-run performance benefits as they converge to a local optimum in a short time period. Contrarily, over-weighting between-subsystem interactions leads to a tendency for teams to have long-run performance advantages.
U2 - 10.1109/WSC.2017.8247882
DO - 10.1109/WSC.2017.8247882
M3 - Conference contribution
SP - 1383
EP - 1394
BT - 2017 Winter Simulation Conference (WSC)
PB - Institute of Electrical and Electronics Engineers
ER -