Getting AI Implementation Right: Insights from a Global Survey

IF 6.3 2区 管理学 Q1 BUSINESS
R. C. Ångström, Michael Björn, Linus Dahlander, Magnus Mähring, Martin W. Wallin
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引用次数: 1

Abstract

While the promise of artificial intelligence (AI) is pervasive, many companies struggle with AI implementation challenges. This article presents results from a survey of 2,525 decision-makers with AI experience in China, Germany, India, the United Kingdom, and the United States—as well as interviews with 16 AI implementation experts—in order to understand the challenges companies face when implementing AI. The study covers technological, organizational, and cultural factors and identifies key challenges and solutions for AI implementation. This article develops a diagnostic framework to help executives navigate AI challenges as companies gain momentum, manage organization-wide complexities, and curate a network of partners, algorithms, and data sources to create value through AI.
正确实施人工智能:来自全球调查的见解
尽管人工智能的前景无处不在,但许多公司都在努力应对人工智能的实施挑战。本文介绍了对中国、德国、印度、英国和美国2525名具有人工智能经验的决策者的调查结果,以及对16名人工智能实施专家的采访,以了解企业在实施人工智能时面临的挑战,以及文化因素,并确定人工智能实施的关键挑战和解决方案。本文开发了一个诊断框架,以帮助高管在公司获得动力时应对人工智能挑战,管理整个组织的复杂性,并策划一个由合作伙伴、算法和数据源组成的网络,通过人工智能创造价值。
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
CiteScore
18.40
自引率
3.00%
发文量
23
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.
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