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Democratizing Enterprise AI Success Factors and Challenges: A Systematic Literature Review and a Proposed Framework

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Information Systems (EMCIS 2021)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 437))

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Abstract

To democratize or not to democratize, this is not the problem anymore for the enterprises that consider democratizing their enterprise AI practice; the problem that these enterprises face nowadays, is how to successfully democratize their enterprise AI. In this paper we conduct a systematic literature review to provide an in-depth analysis of the success factors and the challenges of democratizing the artificial intelligence practices in the enterprises, we also build on this review and propose a framework for the enterprise AI democratization that suggests a set of the success factors and challenges. The research design of this paper is to conduct a systematic literature review by including 41 papers as an initial set of studies for review; we screen the papers and implement inclusion and quality checks on these studies, and we qualify 15 papers for the final review. The key findings of this paper, from the systematic literature review, list a set of success factors and challenges that enterprises should consider to strengthen or to avoid. We propose these factors in a form of proposed framework suggesting four categories: strategy, enterprise architecture, data, and trust. Because of the publication specification and limitation, we limited the scope of our primary studies to a limited set to match the constraints and limitations. The paper includes implications for the academic literature review and the extraction of factors that can impact the process of the enterprise artificial intelligence democratization, and the need to increase the awareness of the enterprise AI practices in order to overcome the challenges that might prevent enterprises from having a successful enterprise AI. While there are some efforts to assess and review the success factors and challenges of the AI practices in general, one of the major findings of the literature review conducted is that there is evident research gap in the literature on the perception and associated factors of artificial intelligence. This paper seeks to fill this gap.

T. Kaddoumi—Independent IT Expert.

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Authors and Affiliations

  1. Dubai, UAE

    Tarek Kaddoumi

  2. Aarhus University, Birk Centerpark 15, 7400, Herning, Denmark

    Torben Tambo

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  1. Tarek Kaddoumi
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  2. Torben Tambo
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Correspondence to Torben Tambo .

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Editors and Affiliations

  1. University of Nicosia, Nicosia, Cyprus

    Marinos Themistocleous

  2. British University in Dubai, Dubai, United Arab Emirates

    Maria Papadaki

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Kaddoumi, T., Tambo, T. (2022). Democratizing Enterprise AI Success Factors and Challenges: A Systematic Literature Review and a Proposed Framework. In: Themistocleous, M., Papadaki, M. (eds) Information Systems. EMCIS 2021. Lecture Notes in Business Information Processing, vol 437. Springer, Cham. https://doi.org/10.1007/978-3-030-95947-0_45

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  • DOI: https://doi.org/10.1007/978-3-030-95947-0_45

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