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

  • 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 problem and to understand its causes, we conducted a bibliographic review on publications in high-level IS journals. We reviewed 1,838 articles that matched corresponding keyword-queries in journals from the AIS senior scholar basket, Electronic Markets and Decision Support Systems (Ranked B). In addition, we conducted a survey among IS researchers (N = 110). Based on the findings from our sample we evaluate different potential causes that could explain why ML methods are rather underrepresented in top-tier journals and discuss how the IS discipline could successfully incorporate ML methods in research undertakings.

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Author:Benjamin M. Abdel-KarimORCiDGND, Nicolas PfeufferORCiDGND, Oliver HinzORCiDGND
Parent Title (English):Electronic markets
Place of publication:Berlin ; Heidelberg
Document Type:Article
Date of Publication (online):2021/04/20
Date of first Publication:2021/04/20
Publishing Institution:Universit├Ątsbibliothek Johann Christian Senckenberg
Release Date:2023/10/13
Tag:Artificial intelligence; Information systems; Machine learning
Page Number:28
First Page:643
Last Page:670
Open Access funding enabled and organized by Projekt DEAL.
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 000 Informatik, Informationswissenschaft, allgemeine Werke
JEL-Classification:C Mathematical and Quantitative Methods / C8 Data Collection and Data Estimation Methodology; Computer Programs
L Industrial Organization / L1 Market Structure, Firm Strategy, and Market Performance
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International