团队合作
背景(考古学)
知识管理
过程(计算)
人工智能应用
比例(比率)
过程管理
团队发展
人工智能
计算机科学
商业智能
业务
管理
古生物学
物理
经济
操作系统
生物
量子力学
作者
Sheila Simsarian Webber,Jodi Detjen,Tammy MacLean,Dominic Thomas
标识
DOI:10.1016/j.bushor.2019.07.007
摘要
Abstract Artificial intelligence (AI) is emerging as a potential growth area for facilitating the improvement and development of teams in the workplace. AI, as used in the team context, is currently underdeveloped and limited, thus reducing the wide-scale adoption and implementation of AI to improve team effectiveness. The use of AI to provide team diagnostics and improvements represents a significant shift in the approach organizations currently use to facilitate and strengthen effective teamwork. We describe the challenges involved in developing team effectiveness in organizations and the potential application of AI to improve teamwork. Further, we report on our experiences using AI in business school student project teams, the important advantages and disadvantages that emerged from this, and insights for future consideration when adopting and implementing AI in the workplace. Based on our use of AI and our experience training high-performing teams, we propose a multistep process for analyzing and improving teams in organizations.
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