TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Westenberger, Jens
A1  - Schuler, Kajetan
A1  - Schlegel, Dennis
T1  - Failure of AI projects: understanding the critical factors
JF  - Procedia computer science
N2  - Adoption of artificial intelligence (AI) has risen sharply in recent years but many firms are not successful in realising the expected benefits or even terminate projects before completion. While there are a number of previous studies that highlight challenges in AI projects, critical factors that lead to project failure are mostly unknown. The aim of this study is therefore to identify distinct factors that are critical for failure of AI projects. To address this, interviews with experts in the field of AI from different industries are conducted and the results are analyzed using qualitative analysis methods. The results show that both, organizational and technological issues can cause project failure. Our study contributes to knowledge by reviewing previously identified challenges in terms of their criticality for project failure based on new empirical data, as well as, by identifying previously unknown factors.
KW  - AI
KW  - artificial intelligence
KW  - project failure
KW  - failure factors
KW  - success factors
KW  - readiness
Y1  - 2022
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-35562
SN  - 1877-0509
SS  - 1877-0509
U6  - https://doi.org/10.1016/j.procs.2021.11.074
DO  - https://doi.org/10.1016/j.procs.2021.11.074
VL  - 196
IS  - CENTERIS - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies 2021
SP  - 69
EP  - 76
S1  - 8
PB  - Elsevier
CY  - Amsterdam
ER  -