Unlocking the Potential of Data-Driven Business Models: An Empirical Investigation into the Role of Ecosystems and Fair Data Use

Marikka Heikkilä, Farhan Ahmad, J. Heikkilä
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Abstract

Data-driven business models are expected to stimulate new economic growth by promoting innovation and value creation through data. However, in addition to concerns about privacy and security, there are ongoing discussions about fair data usage at both the EU and global levels. This research analyses how business model change is influenced by the expected economic benefits as well as how involvement in data ecosystems and the adoption of fair data practices can encourage data-driven innovation. We develop and test a structural equation model with a sample of 1,200 European companies. The findings suggest that organizations recognize the potential for new business and innovation opportunities with data-driven business models. Nevertheless, it is essential to engage in data ecosystems and implement fair and sustainable data usage practices in order to realize these benefits.
释放数据驱动型商业模式的潜力:对生态系统的作用和公平数据使用的实证调查
数据驱动的商业模式有望通过数据促进创新和价值创造,从而刺激新的经济增长。然而,除了对隐私和安全的担忧外,欧盟和全球层面也在持续讨论数据的公平使用问题。本研究分析了商业模式的改变如何受到预期经济效益的影响,以及参与数据生态系统和采用公平数据实践如何鼓励数据驱动的创新。我们以 1200 家欧洲公司为样本,开发并测试了一个结构方程模型。研究结果表明,企业认识到数据驱动型商业模式可能带来新的商业和创新机会。然而,要实现这些益处,必须参与数据生态系统并实施公平、可持续的数据使用实践。
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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