COMPETITIVE ADVANTAGE THROUGH ARTIFICIAL INTELLIGENCE: TOWARD A THEORY OF SITUATED AI

被引:38
|
作者
Kemp, Ayenda [1 ]
机构
[1] Virginia Tech Univ, Blacksburg, VA 24061 USA
来源
ACADEMY OF MANAGEMENT REVIEW | 2024年 / 49卷 / 03期
关键词
KNOWLEDGE-BASED THEORY; BIG DATA; FIRM RESOURCES; CAPABILITIES; TECHNOLOGIES; MANAGEMENT; COGNITION; MODELS; MICROFOUNDATIONS; EVOLUTIONARY;
D O I
10.5465/amr.2020.0205
中图分类号
F [经济];
学科分类号
02 ;
摘要
How can firms establish competitive advantages using artificial intelligence (AI)? Although AI is beginning to permeate business activities, our understanding of how AI can be used to create unique value is limited. To address this void, I introduce the concept of situated AI and illuminate its importance for establishing AI-driven competitive advantages. The paper highlights the organizational activities involved in situating AI- specifically, grounding, bounding, and recasting. It also explains the conditions in which these situating activities better enable firms to develop AI-driven capabilities that are firm-specific, cost-effective, and appropriate for opportunities in the strategic environment. Thus, this paper provides an integrative framework for connecting a firm's AI pursuits to competitive advantage.
引用
收藏
页码:618 / 635
页数:18
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