Machine Learning Methods for Strategy Research

61 Pages Posted: 3 Aug 2017 Last revised: 18 Oct 2017

See all articles by Mike Teodorescu

Mike Teodorescu

University of Washington, Information School; Massachusetts Institute of Technology (MIT) - D-Lab

Date Written: October 14, 2017

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: strategic decisions, machine learning, natural language processing, classification, decision trees

Suggested Citation

Teodorescu, Mike, Machine Learning Methods for Strategy Research (October 14, 2017). Harvard Business School Research Paper Series No. 18-011, Available at SSRN: https://ssrn.com/abstract=3012524 or http://dx.doi.org/10.2139/ssrn.3012524

Mike Teodorescu (Contact Author)

University of Washington, Information School ( email )

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Seattle, WA 98195
United States

HOME PAGE: http://ischool.uw.edu

Massachusetts Institute of Technology (MIT) - D-Lab

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Cambridge, MA 02139
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