重启员工:跨国企业为人工智能进行技能提升

Rebooting employees: upskilling for artificial intelligence in multinational corporations

International Journal of Human Resource Management · 2021
被引 349 · 同刊同年前 1%
ABS 3

中文导读

通过访谈印度信息技术跨国企业的20名资深专业人士,识别出员工为适应人工智能需提升的五项关键技能:数据分析、数字技能、复杂认知、决策和持续学习。

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.

人力资源管理人工智能跨国企业技能提升信息技术