Author ORCID Identifier
Vial, Gregory
http://orcid.org/0000-0001-6196-7483
Cameron, Ann‐Frances
http://orcid.or/0000-0002-5003-5282
Giannelia, Tanya
http://orcid.org/0000-0003-0253-3313
Jiang, Jinglu
Document Type
Article
Publication Date
12-22-2022
Keywords
agile, AI workflow, artificial intelligence, institutional logic, project management
Abstract
While organisations are increasingly interested in artificial intelligence (AI), many AI projects encounter significant issues or even fail. To gain a deeper understanding of the issues that arise during these projects and the practices that contribute to addressing them, we study the case of Consult, a North American AI consulting firm that helps organisations leverage the power of AI by providing custom solutions. The management of AI projects at Consult is a multi-method approach that draws on elements from traditional project management, agile practices, and AI workflow practices. While the combination of these elements enables Consult to be effective in delivering AI projects to their customers, our analysis reveals that managing AI projects in this way draw upon three core logics, that is, commonly shared norms, values, and prescribed behaviours which influence actors' understanding of how work should be done. We identify that the simultaneous presence of these three logics—a traditional project management logic, an agile logic, and an AI workflow logic—gives rise to conflicts and issues in managing AI projects at Consult, and successfully managing these AI projects involves resolving conflicts that arise between them. From our case findings, we derive four strategies to help organisations better manage their AI projects.
Publisher Attribution
This article was originally published by John Wiley & Sons Ltd. in Information Systems Journal, Volume 33, Issue 3. The following is the original citation:
Vial, G., Cameron, A.-F., Giannelia, T., & Jiang, J. (2023). Managing artificial intelligence projects: Key insights from an AI consulting firm. Information Systems Journal, 33( 3), 669– 691. https://doi.org/10.1111/isj.12420
Recommended Citation
Vial, Gregory; Cameron, Ann-Frances; Giannelia, Tanya; and Jiang, Jinglu, "Managing artificial intelligence projects: Key insights from an AI consulting firm" (2022). Management and Accounting Faculty Scholarship. 5.
https://orb.binghamton.edu/management_fac/5
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.