The Deployment of AI to Infer Employee Skills: Insights From Johnson & Johnson's Digital-First Workforce Initiative

IF 6.3 2区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Information Systems Journal Pub Date : 2025-04-02 DOI:10.1111/isj.12594

Olgerta Tona, Dorothy E. Leidner, Nick van der Meulen, Barbara Wixom, Juliana Nunes, Doug Shagam

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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.

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部署人工智能来推断员工技能：来自强生公司数字化优先劳动力计划的见解

为了开始数字化转型之旅，组织应该准备和调整他们的员工，以满足持续的技能调整需求。本文报告了强生公司（johnson & johnson）开发的基于人工智能的员工技能推断平台的见解，该平台的目标是创建一支能够在持续数字化创新的新现实中蓬勃发展的数字化优先员工队伍。我们描述了强生公司在部署该平台期间所面临的挑战，以及他们为应对这些挑战所采取的行动。在此基础上，我们确定了对成功部署人工智能至关重要的三种组织实践：制定未来劳动力蓝图，管理跨境道德数据工作，以及补偿人工智能盲点。从强生公司的经验中，我们得出了一些重要的经验教训，可供其他有兴趣使用人工智能来培养数字化优先的员工队伍的组织使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Information Systems Journal INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

14.60

自引率

7.80%

发文量

期刊介绍： The Information Systems Journal (ISJ) is an international journal promoting the study of, and interest in, information systems. Articles are welcome on research, practice, experience, current issues and debates. The ISJ encourages submissions that reflect the wide and interdisciplinary nature of the subject and articles that integrate technological disciplines with social, contextual and management issues, based on research using appropriate research methods.The ISJ has particularly built its reputation by publishing qualitative research and it continues to welcome such papers. Quantitative research papers are also welcome but they need to emphasise the context of the research and the theoretical and practical implications of their findings.The ISJ does not publish purely technical papers.