TY  - JOUR
A1  - Abdel-Karim, Benjamin M.
A1  - Pfeuffer, Nicolas
A1  - Hinz, Oliver
T1  - Machine learning in information systems - a bibliographic review and open research issues
T2  - Electronic markets
N2  - 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.
KW  - Machine learning
KW  - Artificial intelligence
KW  - Information systems
Y1  - 2021
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/75082
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-750823
SN  - 1422-8890
N1  - Open Access funding enabled and organized by Projekt DEAL.
VL  - 31
IS  - 3
SP  - 643
EP  - 670
PB  - Springer
CY  - Berlin ; Heidelberg
ER  -