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    A Document Analysis Method for Characterizing Design Team Performance

    Source: Journal of Mechanical Design:;2004:;volume( 126 ):;issue: 003::page 378
    Author:
    Andy Dong
    ,
    Andrew W. Hill
    ,
    Alice M. Agogino
    DOI: 10.1115/1.1711818
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The premise of this research is that the engineering design process is partially driven by achieving consensus and reconciling points of view among team members. Characterizing the quality of the design performance by measuring the coherence of the description of related design concepts and events in design documentation is examined. Latent Semantic Analysis (LSA) was used to analyze design documentation written by self-managing, cross-functional engineering design teams. Computational measurements of document variance and textual coherence were applied to the teams’ design documents, presentation materials and e-mail communication. The levels of semantic coherence were correlated to assessments by faculty and product designers and engineers from industry of the design teams’ process and outcome quality. The results indicated a statistically significant positive correlation between design document coherence and design performance, especially for poorly performing teams. The impact of this research is to provide team managers (people who create teams and manage teams) or self-organizing teams (teams that focus on self-reflection and peer evaluation) computational tools that could be integrated with design information management technologies to assist them in the management of engineering design teams.
    keyword(s): Design , Teams AND Performance ,
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      A Document Analysis Method for Characterizing Design Team Performance

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/130509
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    • Journal of Mechanical Design

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    contributor authorAndy Dong
    contributor authorAndrew W. Hill
    contributor authorAlice M. Agogino
    date accessioned2017-05-09T00:13:53Z
    date available2017-05-09T00:13:53Z
    date copyrightMay, 2004
    date issued2004
    identifier issn1050-0472
    identifier otherJMDEDB-27786#378_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/130509
    description abstractThe premise of this research is that the engineering design process is partially driven by achieving consensus and reconciling points of view among team members. Characterizing the quality of the design performance by measuring the coherence of the description of related design concepts and events in design documentation is examined. Latent Semantic Analysis (LSA) was used to analyze design documentation written by self-managing, cross-functional engineering design teams. Computational measurements of document variance and textual coherence were applied to the teams’ design documents, presentation materials and e-mail communication. The levels of semantic coherence were correlated to assessments by faculty and product designers and engineers from industry of the design teams’ process and outcome quality. The results indicated a statistically significant positive correlation between design document coherence and design performance, especially for poorly performing teams. The impact of this research is to provide team managers (people who create teams and manage teams) or self-organizing teams (teams that focus on self-reflection and peer evaluation) computational tools that could be integrated with design information management technologies to assist them in the management of engineering design teams.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Document Analysis Method for Characterizing Design Team Performance
    typeJournal Paper
    journal volume126
    journal issue3
    journal titleJournal of Mechanical Design
    identifier doi10.1115/1.1711818
    journal fristpage378
    journal lastpage385
    identifier eissn1528-9001
    keywordsDesign
    keywordsTeams AND Performance
    treeJournal of Mechanical Design:;2004:;volume( 126 ):;issue: 003
    contenttypeFulltext
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