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This research seeks to address common issues that plague content and information management at small to medium–sized, knowledge–intensive enterprises. By using qualitative research methods and drawing on a theory of control this case study will provide specific, practical, and usable information about inefficiencies and pain points experienced by Algorithmics, in addition to enriching the trade and research literature on enterprise content management, personal information management, and information retrieval. This project will set in place the implementation of applied research to business practices.
Brian Cantwell Smith
Computer science
Professional, scientific and technical services
University of Toronto
Accelerate
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.