Can generative artificial intelligence productivity tools support workplace learning? A qualitative study on employee perceptions in a multinational corporation

跨国公司 生产力 知识管理 感知 工作场所学习 公司 业务 心理学 计算机科学 工程类 工作(物理) 经济 机械工程 财务 神经科学 宏观经济学
作者
Tiziana C. Callari,Lucia Puppione
出处
期刊:Journal of Workplace Learning [Emerald Publishing Limited]
标识
DOI:10.1108/jwl-11-2024-0258
摘要

Purpose The purpose of this study was to explore employees’ perceptions and firsthand experiences of the impact of generative artificial intelligence (AI) productivity tools, specifically Microsoft 365 Copilot, on individual and collective learning processes within a multinational corporation. In doing so, the study provides insights into how these tools can shape workplace learning dynamics, fostering both individual skill development and collaborative knowledge-sharing practices. Design/methodology/approach The authors collected responses from 357 participants through a survey that included both multiple-choice and open-ended questions. This study focuses exclusively on the qualitative responses. The reflexive thematic analysis method was used to capture and interpret employees’ perceptions of the role of Microsoft 365 Copilot – a generative AI-powered assistant integrated into the Microsoft 365 suite of applications (e.g., Word, Excel, PowerPoint, Outlook, Teams) – in enhancing their work and learning opportunities in the workplace. Findings The results highlight four key themes contributing to workplace learning. At the individual level, Task Support illustrates the extent to which generative AI productivity tools transform work practices and facilitate both formal and informal learning pathways, while Meaningful Work underscores the tools’ role in enhancing employees’ foundational knowledge through enriched information. At the organisational level, organisational culture suggests the importance of fostering a supportive environment for AI integration, while organisational socialisation highlights its influence on team cohesion and the informal knowledge-sharing processes essential for effective collaboration within and among team members. Practical implications The results of this study offer actionable insights for organisations integrating generative AI productivity tools in the workplace. Understanding employees’ perceptions of the role of AI in workplace learning can inform the design of targeted training programmes that promote individual skill development and foster collaborative knowledge sharing. Furthermore, a supportive organisational culture that positions AI as a complementary resource can improve employee engagement, reduce resistance to new technologies and encourage a growth-oriented mindset, ultimately driving both personal and organisational development. Originality/value This study shifts the narrative around the role of AI in the workplace by examining how generative AI productivity tools can enhance workplace learning at both individual and organisational levels, rather than focusing solely on their potential to disrupt work through displacement and automation. By positioning AI-based applications as complementary to human work, this approach highlights their potential as enablers of skill development, knowledge sharing and job enrichment, fostering a more adaptive and learning-oriented work environment.
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