Collaboration before competition: How smart city entrepreneurs co-create temporary ecosystems to build capacity for learning

IF 12.9 1区 管理学 Q1 BUSINESS
Paul G. Oliver , Luca Mora , Jun Zhang
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引用次数: 0

Abstract

This article explores how smart city entrepreneurs (SCEs) learn to address urban sustainability challenges with innovative digital products and services. SCEs embody social, digital, and urban entrepreneurialism features and play a pivotal role in advancing smart city development. But despite their importance, little is known about the knowledge, skills, and competencies required to become an SCE. Grounded in entrepreneurial learning theory, our study helps fill this gap. Using the city of Edinburgh, UK, as our empirical setting, we examine the learning process of 34 SCEs. Our findings offer three core contributions. First, we show that collaborative learning is a key driver of innovation in the smart city domain. SCEs significantly benefit from collaborative efforts rather than competitive strategies alone. Second, we show that these collaborations develop in temporary ecosystems that contribute to enhancing the innovative capacities of SCEs. Building on these findings, we expand entrepreneurial learning theory, highlighting the critical yet overlooked role of temporary ecosystems and intermediaries in stimulating collaboration and knowledge exchange among SCEs. Third, we provide practical recommendations for policymakers, emphasizing the importance of supporting the development of strategic learning capacities and diverse learning modalities for SCEs.
竞争之前的合作:智慧城市企业家如何共同创建临时生态系统,以培养学习能力
本文探讨了智慧城市企业家(sce)如何通过创新的数字产品和服务来应对城市可持续发展的挑战。社企具有社会化、数字化、城市创业等特点,在推进智慧城市建设中发挥着重要作用。但是,尽管它们很重要,但人们对成为SCE所需的知识、技能和能力知之甚少。基于创业学习理论,我们的研究有助于填补这一空白。本文以英国爱丁堡市为实证背景,考察了34家中小企业的学习过程。我们的发现提供了三个核心贡献。首先,我们表明协作学习是智慧城市领域创新的关键驱动力。sce从合作努力而不是单独的竞争战略中显著受益。其次,我们表明,这些合作在临时生态系统中发展,有助于提高企业的创新能力。在这些发现的基础上,我们扩展了创业学习理论,强调了临时生态系统和中介在促进企业间合作和知识交流方面的关键但被忽视的作用。第三,我们为政策制定者提供了切实可行的建议,强调了支持中小企业战略学习能力和多样化学习模式发展的重要性。
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
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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