A market analysis on data ecosystem initiators and their value propositions in different ecosystems

IF 5.9 2区 管理学 Q1 COMMUNICATION
Maarten de Mildt, Sofie Verbrugge, Didier Colle
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引用次数: 0

Abstract

The concept of data ecosystems is proposed as a solution to organise and manage increasingly complex data processes. A common narrative found in literature is that, using an ecosystem approach, an increased amount of data will be available, of higher quality, and this will lead to an increase in innovation. Even though these benefits seem promising at first, data ecosystems are not standard practice yet. A critical look at the way the market is implementing this concept is needed. A market analysis was performed on the different services that initiate and support data ecosystems. Three main ecosystem types, based on their scope, were identified: (1) single-organisation ecosystems, (2) application domain specific ecosystems, and (3) cross-domain ecosystems. Challenging these benefits of data ecosystems, this market analysis revealed that achieving the innovation potential and actual data reuse remains a challenge, especially for more broadly scoped ecosystems. Consequently, a successful data ecosystem implementation will require a critical assessment of its data reuse and innovation potential.
不同生态系统中数据生态系统发起者及其价值主张的市场分析
数据生态系统的概念被提出作为组织和管理日益复杂的数据过程的解决方案。在文献中发现的一个常见叙述是,使用生态系统方法,可用的数据量将增加,质量更高,这将导致创新的增加。尽管这些好处一开始看起来很有希望,但数据生态系统还不是标准做法。我们需要对市场执行这一概念的方式进行批判性的审视。对启动和支持数据生态系统的不同服务进行了市场分析。根据生态系统的范围,我们确定了三种主要的生态系统类型:(1)单一组织生态系统,(2)特定于应用领域的生态系统,(3)跨领域生态系统。挑战数据生态系统的这些好处,该市场分析显示,实现创新潜力和实际数据重用仍然是一个挑战,特别是对于更广泛的生态系统。因此,一个成功的数据生态系统的实施将需要对其数据重用和创新潜力进行批判性评估。
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
Telecommunications Policy
Telecommunications Policy 工程技术-电信学
CiteScore
10.80
自引率
12.50%
发文量
122
审稿时长
38 days
期刊介绍: Telecommunications Policy is concerned with the impact of digitalization in the economy and society. The journal is multidisciplinary, encompassing conceptual, theoretical and empirical studies, quantitative as well as qualitative. The scope includes policy, regulation, and governance; big data, artificial intelligence and data science; new and traditional sectors encompassing new media and the platform economy; management, entrepreneurship, innovation and use. Contributions may explore these topics at national, regional and international levels, including issues confronting both developed and developing countries. The papers accepted by the journal meet high standards of analytical rigor and policy relevance.
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