How to Appropriate Value from General-Purpose Technology by Applying Open Innovation

IF 6.3 2区 管理学 Q1 BUSINESS California Management Review Pub Date : 2021-09-01 DOI:10.1177/00081256211041787
Jialei Yang, H. Chesbrough, P. Hurmelinna-Laukkanen
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引用次数: 19

Abstract

Artificial intelligence increasingly attracts attention and investments. However, appropriating value from this general-purpose technology (GPT) can be difficult. To understand these challenges, this article analyzes why IBM failed to generate significant profits from IBM Watson Health despite its promising starting points. The findings suggest that, considering the characteristics of GPT, an overly closed approach for taking it to market contributed to the failure. Furthermore, conditions such as the immaturity and the complexity of the application field intensified the challenges. This study suggests that using a strong appropriability regime in open innovation can enhance the appropriation of value from a GPT.
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如何运用开放式创新从通用技术中获取价值
人工智能越来越吸引人们的关注和投资。然而,从这种通用技术(GPT)中获取价值可能很困难。为了理解这些挑战,本文分析了IBM为什么没有从IBM Watson Health中获得可观的利润,尽管它的起点很有希望。研究结果表明,考虑到GPT的特点,将其推向市场的过于封闭的方法导致了失败。此外,应用领域的不成熟和复杂性等条件加剧了挑战。本研究表明,在开放式创新中使用强可挪用性制度可以提高GPT价值的可挪用性。
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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