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This research seeks to address common issues that plague content and information management at small to medium–sized, know ledge–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.
Dr. Brian Cantwell Smith
Isaac Quinn DuPont
Algorithmics Inc.
Computer science
Finance, insurance and business
University of Toronto
Accelerate
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