Rebooting employees: upskilling for artificial intelligence in multinational corporations
By Akanksha Jaiswal, C. Arun, A. Varma. International journal of human resources management, 2021
318 citations recorded by the source corpus.
Abstract Proponents of artificial intelligence (AI) have envisaged a scenario wherein intelligent machines would execute routine tasks performed by humans, thus, relieving them to engage in creative pursuits. While there is widespread fear of corresponding job losses, organizational think tanks vouch for the synergistic culmination of human–machine competencies. Using the dynamic skill, neo-human capital and AI job replacement theories, we contend that the introduction and adoption of AI calls for employees to upskill themselves. To determine the key skills deemed critical for the upskilling of employees, we interviewed 20 experienced professionals in multinational corporations (MNCs) in the information technology sector in India. Deploying Gioia’s methodology for qualitative analysis, our investigation revealed five critical skills for employee upskilling: data analysis, digital, complex cognitive, decision making and continuous learning skills.
Subfields: General Health Professions, Organizational Behavior and Human Resource Management, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/363c5dd29ea504721a974e2247cb5f426b09a313
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In General Health Professions
In Sociology and Political Science
Citations in the corpus
- The Impact of Artificial Intelligence on Workers' Skills: Upskilling and Reskilling in Organisations (2023, methodology): “To successfully adapt to these changes, organisations need to adjust to new working and organisational models (Jaiswal et al., 2022).”