Competitor identification: A review of use cases, data sources, and algorithms

作者：

Highlights：

• Competitor identification requires advanced search strategies such as expert-based search queries.

• The use of data mining applications in competitor identification requires regular updates of document collections.

• Competitor identification requires the integration of different data source types to unfold the potential of data mining.

• A challenge is to identify competitors in business ecosystems consisting of business partners, customers and collaborators.

摘要

•Competitor identification requires advanced search strategies such as expert-based search queries.•The use of data mining applications in competitor identification requires regular updates of document collections.•Competitor identification requires the integration of different data source types to unfold the potential of data mining.•A challenge is to identify competitors in business ecosystems consisting of business partners, customers and collaborators.

论文关键词：Competitor Identification,Decision Support Systems,Strategic Management,Data mining,Artificial Intelligence

论文评审过程：Received 5 January 2021, Revised 7 March 2022, Accepted 8 March 2022, Available online 6 April 2022, Version of Record 6 April 2022.

论文官网地址：https://doi.org/10.1016/j.ijinfomgt.2022.102507