社会技术系统
知识管理
自动化
任务(项目管理)
计算机科学
组织结构
技术变更
人工智能
数据科学
过程管理
业务
工程类
管理
系统工程
机械工程
宏观经济学
经济
生产力
作者
Anezka Viskova-Robertson
出处
期刊:Proceedings - Academy of Management
[Academy of Management]
日期:2023-07-24
卷期号:2023 (1)
被引量:1
标识
DOI:10.5465/amproc.2023.48bp
摘要
Artificial intelligence (AI) is a technical innovation that is predicted to bring change to organizations across a wide range of industries by substituting computer automation for human labor (Muro et al., 2019). Ensuring seamless implementation of AI into work processes requires deep understanding of both technical and non-technical aspects. A hexagonal structure representing the Socio-technical System's social and technological elements is used to represent forming the complex ecosystem of an organization (Clegg, 2000). If used purposefully, the framework may be used to predict how AI implementation would affect the organization. It will also help with identifying AI related requirements and responsibilities for errors and how to avoid them. Depending on AI's potential—whether it is Substitutional, entirely replacing some activities, or Complementary, enhancing human employees through collaborative task design and skill fusion—AI will have diverse effects within the organizational ecosystem, mostly on the social domains.
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