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dc.contributor.advisorLotte Bailyn.en_US
dc.contributor.authorBlack, Laura J. (Laura Jean), 1963-en_US
dc.contributor.otherSloan School of Management.en_US
dc.date.accessioned2005-08-23T20:09:44Z
dc.date.available2005-08-23T20:09:44Z
dc.date.issued2002en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/8435
dc.descriptionThesis (Ph.D.)--Massachusetts Institute of Technology, Sloan School of Management, 2002.en_US
dc.description"June 2002."en_US
dc.descriptionIncludes bibliographical references (p. 275-282).en_US
dc.description.abstractComplex goods and processes require ever more sophisticated and specialized knowledge; harnessing multiple kinds of expertise to execute tasks, solve problems, and develop strategies is increasingly critical to organizations' survival. When specialists come together, however, they often speak in different vocabularies, worry about different problems, use incompatible tools, and occasionally even serve incongruent objectives. Generating value from specialized knowledge requires creating and sustaining collaboration across functional, disciplinary, and organizational lines so that people on each side of a boundary learn what they need to practice their discipline effectively in support of interdependent work. My research examines determinants of success and failure to collaborate across intra-organizational lines. The dissertation proposes a theoretical framework for examining cross-boundary work and uses qualitative and simulated analyses to explore two cases describing (non)collaboration across boundaries of hierarchy and role. The framework, which emerged through iterative study of field data and literature relevant to cross-boundary work, builds on existing theories of knowledge management, cognition, and innovation and product development and unites them in a way consistent with dynamic theories of structuration and practice. The first case articulates a simple lens integrating three themes in organizational and social theory--daily activities, actors' accumulated resources, and the recursive interactions between these that unfold through time-and turns the lens on a widely cited ethnography describing interactions between doctors and technicians over implementation of a new scanning technology.en_US
dc.description.abstract(cont.) The second case uses a framework elaborating on each of these themes to explore (non)collaboration across departmental lines in new product development, using data gathered from a midsize manufacturing company. The contributions center on generating more comprehensive explanations of why (non)collaborative patterns can emerge in cross-boundary work. The research draws on the framework, field observations, and simulation analyses to identify three failure modes of collaboration and to suggest interventions to keep people involved and productive in interdependent work. These include designing locations, artifacts, actions, and timing of cross-boundary activities in light of participants' current knowledge; staffing and training to balance expertise across the boundary; and aligning knowledge gained through cross-boundary work with sanctioned roles and activities in the larger organizational context. Key words: Collaboration; boundaries; knowledge management; simulation; system dynamics.en_US
dc.description.statementofresponsibilityby Laura J. Black.en_US
dc.format.extent282 p.en_US
dc.format.extent19781629 bytes
dc.format.extent19781387 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectSloan School of Management.en_US
dc.titleCollaborating across boundaries : theoretical, empirical, and simulated explorationsen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentSloan School of Management
dc.identifier.oclc50650353en_US


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