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contributor authorJohn Wanberg
contributor authorAmy Javernick-Will
contributor authorJohn E. Taylor
date accessioned2017-12-16T09:18:07Z
date available2017-12-16T09:18:07Z
date issued2017
identifier other%28ASCE%29CO.1943-7862.0001399.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4241131
description abstractWithin many construction and engineering organizations, communities of practice (CoPs) have become an important means for managing knowledge. They are employed to connect employees with technical specialists, which should reduce repeated mistakes, improve technical practice, and generate thought leadership. While organizations often implement CoPs as a means for coordinating specialist knowledge, very little is known about how professionals actually locate and connect with one another, making it difficult for organizations to employ CoPs effectively. To better understand how professionals identify and connect with colleagues, this research first conducted social network analysis to identify existing connections within three intraorganizational CoPs comprised of 1,791 members in two organizations, and then conducted and analyzed 77 interviews about dyadic connections to determine how individuals within these CoPs connected. From this analysis, four mechanisms of connection were identified, including organizational control, organizational opportunity, social networks, and non-person-centered searching. These connection mechanisms include a hybrid of social and organizational structures, reinforcing the need to strategically create and manage CoPs in project-based organizations. More specifically, these conclusions suggest that managerial control within CoPs is still an important mechanism to facilitate knowledge-sharing connections within distributed CoPs.
publisherAmerican Society of Civil Engineers
titleMechanisms to Initiate Knowledge-Sharing Connections in Communities of Practice
typeJournal Paper
journal volume143
journal issue11
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/(ASCE)CO.1943-7862.0001399
treeJournal of Construction Engineering and Management:;2017:;Volume ( 143 ):;issue: 011
contenttypeFulltext


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