Evaluating heterogeneous enterprise content environments: a case study of control

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.

Faculty Supervisor:

Dr. Brian Cantwell Smith

Student:

Isaac Quinn DuPont

Partner:

Algorithmics Inc.

Discipline:

Computer science

Sector:

Finance, insurance and business

University:

University of Toronto