The Emergence of Dominant Designs in Artificial Intelligence

IF 6.3 2区管理学 Q1 BUSINESS

California Management Review Pub Date : 2023-04-18 DOI:10.1177/00081256231164362

Xavier Ferras-Hernandez, Petra A. Nylund, A. Brem

引用次数: 1

Abstract

Artificial intelligence (AI) technologies are engaged in a harsh battle for market dominance. This article examines the emergence of a dominant design in terms of technology, service, and business model innovation. We conduct a theoretical synthesis of the literature on industrial organization, technology management, network economics, operations management, and strategic management—with the implications of each theory related to the dominant-design battle in AI. The findings indicate a dominant design for AI will be based on innovation concerning business models as much as on technology, and that the dominant business model will include AI as a service.

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人工智能中显性设计的出现

人工智能（AI）技术正在为争夺市场主导地位而展开一场激烈的战斗。本文从技术、服务和商业模式创新的角度考察了主导设计的出现。我们对有关产业组织、技术管理、网络经济、运营管理和战略管理的文献进行了理论综合，其中每一种理论都与人工智能中的主导设计战有关。研究结果表明，人工智能的主导设计既基于技术，也基于商业模式创新，主流商业模式将包括人工智能作为一种服务。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

California Management Review Multiple-

CiteScore

18.40

自引率

3.00%

发文量

期刊介绍： California Management Review (CMR) serves as a vital link between academia and management practice, offering leading-edge research with practical applications. Edited at UC Berkeley’s Haas School of Business, CMR covers a wide range of management topics, including innovation, strategy, sustainable practices, and human resources. CMR ranks among the top management journals globally, distributing articles through outlets like Harvard Business School Publishing and SAGE Publishing. Focused on bridging academia and practice, CMR ensures that all articles are based on rigorous academic research while providing actionable insights for managers. In addition to regular issues, CMR publishes special issues and sections on relevant topics, often guest-edited by leading faculty. Recent special issues have covered dynamic capabilities, city innovation, big data, and intellectual property management.