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    Simulating Learning Dynamics in Project Networks

    Source: Journal of Construction Engineering and Management:;2009:;Volume ( 135 ):;issue: 010
    Author:
    John E. Taylor
    ,
    Raymond Levitt
    ,
    Juan Andrei Villarroel
    DOI: 10.1061/(ASCE)CO.1943-7862.0000065
    Publisher: American Society of Civil Engineers
    Abstract: In this paper we develop a multiagent simulation model to explore the impact of learning dynamics on the productive implementation of innovations in project networks comprised of designers and contractors. Though researchers generally agree that when firms form into networks they will gain access to new knowledge, the question of learning beyond the firm at the boundaries between firms or at the level of the project network itself remain less explored. We simulate the impact of task interdependence and relational instability on learning in project networks comprised of multiple specialist firms. We find that relational instability in project networks slows learning and task interdependence moderates the impact of increasing relational instability on network productivity rates. The findings have significant implications for interorganizational learning theory. The simulation results provide insights into appropriate firm-level and project network-level strategies for change.
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      Simulating Learning Dynamics in Project Networks

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    http://yetl.yabesh.ir/yetl1/handle/yetl/58208
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    contributor authorJohn E. Taylor
    contributor authorRaymond Levitt
    contributor authorJuan Andrei Villarroel
    date accessioned2017-05-08T21:38:56Z
    date available2017-05-08T21:38:56Z
    date copyrightOctober 2009
    date issued2009
    identifier other%28asce%29co%2E1943-7862%2E0000070.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/58208
    description abstractIn this paper we develop a multiagent simulation model to explore the impact of learning dynamics on the productive implementation of innovations in project networks comprised of designers and contractors. Though researchers generally agree that when firms form into networks they will gain access to new knowledge, the question of learning beyond the firm at the boundaries between firms or at the level of the project network itself remain less explored. We simulate the impact of task interdependence and relational instability on learning in project networks comprised of multiple specialist firms. We find that relational instability in project networks slows learning and task interdependence moderates the impact of increasing relational instability on network productivity rates. The findings have significant implications for interorganizational learning theory. The simulation results provide insights into appropriate firm-level and project network-level strategies for change.
    publisherAmerican Society of Civil Engineers
    titleSimulating Learning Dynamics in Project Networks
    typeJournal Paper
    journal volume135
    journal issue10
    journal titleJournal of Construction Engineering and Management
    identifier doi10.1061/(ASCE)CO.1943-7862.0000065
    treeJournal of Construction Engineering and Management:;2009:;Volume ( 135 ):;issue: 010
    contenttypeFulltext
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