Data sharing for business model innovation in platform ecosystems: From private data to public good

被引：21

作者：

Kazantsev, Nikolai ^{[1
]}

Islam, Nazrul ^{[2
]}

Zwiegelaar, Jeremy ^{[3
]}

Brown, Alan ^{[4
]}

Maull, Roger ^{[4
]}

机构：

[1] Univ Cambridge, Inst Mfg, Cambridge, England

[2] Univ East London, Royal Docks Sch Business & Law, London, England

[3] Oxford Brookes Univ, Oxford Brookes Business Sch, Oxford, England

[4] Univ Exeter, Business Sch, Exeter, England

来源：

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | 2023年 / 192卷

基金：

英国工程与自然科学研究理事会;

关键词：

Open data; Business model innovation; Platform ecosystems; Public good; QUALITATIVE RESEARCH; CAPTURING VALUE; EVOLUTION;

D O I：

10.1016/j.techfore.2023.122515

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Extant research posits that open data could unlock more than $3 trillion in additional value worldwide across various application domains. This paper investigates a data-sharing perspective in business models of platform ecosystems and discusses how platform owners can derive more value using data. We chose a sample of 12 platforms in which data are used as a key resource for service propositions. By contrasting these cases, we identify and analyse four archetypes: data crawler, data marketplace, data aggregator, and data disseminator. We define the key features of these archetypes and demonstrate how they realise value via the platform. These archetypes can guide managers in realising private and public goods via data sharing. Building on our findings, we derive recommendations for data-driven business model innovation for platform ecosystems.

引用

页数：9

共 67 条

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