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

• 成果类型: Article
• 署名作者: Kemp, Ayenda
• 署名单位: Virginia Polytechnic Institute & State University
• 刊物名称: ACADEMY OF MANAGEMENT REVIEW
• ISSN/ISSBN: 0363-7425
• DOI: 10.5465/amr.2020.0205
• 发表日期: 2024
• 页码: 618-635
• 关键词: KNOWLEDGE-BASED THEORY; big data; FIRM RESOURCES; capabilities; technologies; management; cognition; models; microfoundations; evolutionary

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.