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AI-enabled business models for competitive advantage

Ricardo Costa Climent,D. Haftor,M. Staniewski

2024 · DOI: 10.1016/j.jik.2024.100532
51 Citations

TLDR

The integration of these three theories leads to a novel theory: AI-enabled business models for competitive advantage that contributes to the broad literature on technology management and to literature on technology-enabled business models and the use of AI.

Abstract

Some fi rms have successfully harnessed arti fi cial intelligence (AI) to create unparalleled wealth, while most around them have failed to do so. This managerial challenge has led to recent calls for research to answer the question of how fi rms can use AI to create and appropriate economic value. This paper answers that question. The paper reviews the existing research and discusses its merits. This review highlights the need for subsequent conceptual recon fi gurations of business model theory, the theory of data network effects, and the theory of situated AI for competitive advantage. The integration of these three theories leads to a novel theory: AI-enabled business models for competitive advantage . This paper contributes to the broad literature on technology management, and more speci fi cally to literature on technology-enabled business models and the use of AI. Several important managerial implications are outlined to help fi rms ensure successful AI use. © 2024 The Author(s). Published by Elsevier España, S.L.U. on behalf of Journal of Innovation & Knowledge. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)