Recommending untapped M&A opportunities: A combined approach using principal component analysis and collaborative filtering

作者：

Highlights：

• An approach to recommend and evaluate untapped M&A opportunities is proposed.

• Principal component analysis is used to reduce the dimensionality of original data.

• Supplementary indexes are devised to condense the results into actionable insights.

• Proposed framework was tested in a case study concerning the biotechnology market.

摘要

•An approach to recommend and evaluate untapped M&A opportunities is proposed.•Principal component analysis is used to reduce the dimensionality of original data.•Supplementary indexes are devised to condense the results into actionable insights.•Proposed framework was tested in a case study concerning the biotechnology market.

论文关键词：Biotechnology,Collaborative filtering,M&A,Principal component analysis,Recommendation system,Standard industrial classification

论文评审过程：Received 29 June 2018, Revised 1 February 2019, Accepted 1 February 2019, Available online 6 February 2019, Version of Record 10 February 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.02.004