Publications
Publications
- 2017
- HBS Working Paper Series
Machine Learning Methods for Strategy Research
By: Mike Horia Teodorescu
Abstract
Numerous applications of machine learning have gained acceptance in the field of strategy and management research only during the last few years. Established uses span such diverse problems as strategic foreign investments, strategic resource allocation, systemic risk analysis, and customer relationship management. This survey article covers natural language processing methods focused on text analytics and machine learning methods with their applications to management research and strategic practice. The methods are presented accessibly, with directly applicable examples, supplemented by a rich set of references crossing multiple subfields of management science. The intended audience is the strategy and management researcher with an interest in understanding the concepts, the recently established applications, and the trends of machine learning for strategy research.
Keywords
Machine Learning; Natural Language Processing; Classification; Decision Trees; Strategic Decisions; Strategy; Research; Information Technology
Citation
Teodorescu, Mike Horia. "Machine Learning Methods for Strategy Research." Harvard Business School Working Paper, No. 18-011, August 2017. (Revised October 2017.)