Machine learning in information systems - a bibliographic review and open research issues

Volume: 31, Issue: 3, Pages: 643 - 670
Published: Apr 20, 2021
Abstract
Artificial Intelligence (AI) and Machine Learning (ML) are currently hot topics in industry and business practice, while management-oriented research disciplines seem reluctant to adopt these sophisticated data analytics methods as research instruments. Even the Information Systems (IS) discipline with its close connections to Computer Science seems to be conservative when conducting empirical research endeavors. To assess the magnitude of the...
Paper Details
Title
Machine learning in information systems - a bibliographic review and open research issues
Published Date
Apr 20, 2021
Volume
31
Issue
3
Pages
643 - 670
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