满意选择
审议
大数据
有限理性
计算机科学
商业智能
理性
人工智能
过程(计算)
知识管理
竞争优势
管理科学
数据科学
决策支持系统
工程类
管理
数据挖掘
经济
政治学
操作系统
法学
政治
作者
Sophia Shtepa,Yongjian Bao,Oleksiy Osiyevskyy
出处
期刊:Edward Elgar Publishing eBooks
[Edward Elgar Publishing]
日期:2023-05-12
卷期号:: 324-341
被引量:2
标识
DOI:10.4337/9781800378902.00027
摘要
The emerging information technologies, including artificial intelligence (AI) algorithms (e.g., machine learning) and big data (i.e., collecting large volumes of unstructured data translated through analysis to information suitable for managerial decision-making), have the potential to substantively change the established management practices globally. The AI systems trained on big data reduce the managerial bounded rationality problem, moving from satisficing to optimizing mode in managerial decision making. We discuss the micro-foundational impact of these technologies on the process of managerial decision-making, stressing their ability to enable automated and augmented rationality. Then, we explore the impact of AI in four distinct domains of decision problems: determination, design, deliberation, and discovery. Finally, the developed micro-foundational framework is used to analyze the strategic impact of AI on organizational business models and sources of competitive advantage.
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