Analyzing critical success factors for a successful implementation of artificial intelligence in agile industry 4.0

In industry 4.0, artificial intelligence (AI) promises to achieve persuasive operational transformations. Yet, agility is one of the prominent concepts in the organizational capability to gain competitive advantage in the global conditions that emerge with industry 4.0. However, a successful implementation of AI depends also on the ability to identify critical success factors (CSFs) that are important to be considered when implementing AI. While previous literature has already revealed CSFs that are important to be considered, this paper is the first of its kind that has used the M-TISM (Modified Total Interpretative Structural Modelling) methodology for the identification and prioritization of CSFs of AI in an agile industry 4.0 firm. With this background, this paper reveal 19 factors related to the technological, organizational and environmental dimensions. Then, the fuzzy MICMAC process is used to classify the CSFs based on driving and dependence power.