跨国公司
人力资本
业务
知识管理
公共关系
管理
社会学
计算机科学
经济
政治学
市场经济
财务
作者
Akanksha Jaiswal,C. Joe Arun,Arup Varma
标识
DOI:10.1080/09585192.2021.1891114
摘要
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.
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