The Deployment of <scp>AI</scp> to Infer Employee Skills: Insights From Johnson & Johnson's Digital‐First Workforce Initiative
ABSTRACT To embark on a digital transformation journey, organisations should prepare and adapt their workforce to meet the continuous need for skill adjustments. This paper reports insights from the journey of one organisation—Johnson & Johnson—that developed an employee skills inference platform based on artificial intelligence with the objective of creating a digital‐first workforce capable of thriving amid the new reality of continuous digital innovation. We describe the challenges J&J faced during the deployment of the platform and the activities they undertook in response to these challenges. Based on that, we identify three organisational practices critical for the successful deployment of AI: blueprinting the future workforce, managing ethical data work across borders, and compensating for AI blind spots. From Johnson & Johnson's experience, we derive several important lessons for other organisations interested in using AI to develop a digital‐first workforce.
Authors
- Olgerta Tona (ORCID: https://orcid.org/0000-0001-6998-0041)
- Nicholas Philip van der Meulen (ORCID: https://orcid.org/0000-0001-6077-5594)
- Juliana Nunes Rodrigues (ORCID: https://orcid.org/0000-0002-3793-4785)
- Dorothy E. Leidner (ORCID: https://orcid.org/0000-0002-7159-6273)
- Barbara H. Wixom
- Doug Shagam
Institutions
- Johnson & Johnson (United States) (US)
- University of Virginia (US)
- University of Gothenburg (SE)
Publication Details
- Journal
- Information Systems Journal
- Published
- 2025-04-02
- DOI
- https://doi.org/10.1111/isj.12594
- Citations
- 1
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 2.76