从开放创新中创造和获取价值:人类、企业、平台和生态系统

IF 6.3 2区 管理学 Q1 BUSINESS California Management Review Pub Date : 2023-02-01 DOI:10.1177/00081256231158830
A. Majchrzak, M. Bogers, H. Chesbrough, Marcus Holgersson
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引用次数: 3

摘要

开放式创新基于这样一种理念:并非所有聪明人都只为你工作,因此管理跨组织边界的人际互动是开放式创新的核心。本文首先概述和回顾了关于开放式创新的人的维度的研究。本文提出了七条创新产生的原则,可以指导管理者通过开放式创新实现价值创造。我们将继续介绍特别部分的其余部分,该部分扩展到人类维度之外,还包括公司、平台和生态系统,对从开放式创新中创造和获取价值具有重要意义。
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Creating and Capturing Value from Open Innovation: Humans, Firms, Platforms, and Ecosystems
Open innovation rests on the idea that not all the smart people work only for you, and managing human interaction across organizational boundaries is therefore central to open innovation. This article starts with outlining and reviewing research on this human dimension of open innovation. The article develops seven principles of innovation-producing encounters that can guide managers in enabling value creation through open innovation. We continue by introducing the rest of the special section, which expands beyond the human dimension to also include firms, platforms, and ecosystems, with important implications for the creation and capture of value from open innovation.
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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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