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Working Paper: Case Study

Developing a Digital-First Workforce: AI-Driven Skills Enablement at Johnson & Johnson

J&J created a talent development platform, powered by machine learning, to enhance strategic workforce planning and employee career development.
CASE STUDY

An in-depth description of a firm’s approach to an IT management issue (intended for MBA and executive education)

Abstract

In 2020, Johnson & Johnson (J&J) was on mission to transform the trajectory of human health—a mission increasingly driven by emerging technology and a growth in data and computing requirements. To realize its mission, each of J&J’s more than 150,000 employees would need to have the skills to use new technologies to reimagine business processes, develop new offerings, or both. To assess employees’ current skill levels, identify gaps, and offer development and career opportunities, J&J’s Technology group created MySkills, a talent development platform powered by machine learning. This case outlines the steps that J&J took to establish MySkills, and how this platform helped develop a digital-first workforce.

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About the Researchers

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Olgerta Tona, Senior Lecturer, University of Gothenburg and Academic Research Fellow, MIT CISR

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Ida A. Someh, Senior Lecturer in Business Information Systems, University of Queensland and Academic Research Fellow, MIT CISR

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Dorothy E. Leidner, Ferguson Professor of Information Systems, Baylor University and Academic Research Fellow, MIT CISR

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