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Platform data strategy
Marketing Letters ( IF 2.5 ) Pub Date : 2020-09-05 , DOI: 10.1007/s11002-020-09539-3
Hemant K. Bhargava , Olivier Rubel , Elizabeth J. Altman , Ramnik Arora , Jörn Boehnke , Kaitlin Daniels , Timothy Derdenger , Bryan Kirschner , Darin LaFramboise , Pantelis Loupos , Geoffrey Parker , Adithya Pattabhiramaiah

Platforms create value by enabling interactions between consumers and external producers through infrastructures and rules. We define platform data strategy to encompass all data-related rules undertaken by platforms to foster competitive advantage over the long term. Platform firms face growing pressure to increase accountability for how they use data; yet, an explicit treatment of platforms’ data strategies and a systematic discussion of forces influencing such data-related choices are absent in the academic literature. We articulate how a platform’s data strategy varies based on platform type and business circumstances. Given the interdependencies within a platform’s ecosystem, its data strategy must balance incentives of all stakeholders. Besides discussing these topics, the paper identifies promising research opportunities in platform data strategy to better inform future academic research, strategic decision-making, and regulatory analysis.



中文翻译:

平台数据策略

平台通过基础架构和规则实现消费者与外部生产者之间的交互来创造价值。我们定义平台数据策略,以涵盖平台采取的所有与数据相关的规则,以长期培养竞争优势。平台公司面临越来越大的压力,要求他们提高对数据使用方式的责任感。但是,学术文献中还没有对平台的数据策略进行明确的处理,而对影响此类数据相关选择的因素进行了系统的讨论。我们阐明了平台的数据策略如何根据平台类型和业务环境而变化。考虑到平台生态系统内的相互依赖性,其数据策略必须平衡所有利益相关者的动机。除了讨论这些主题,

更新日期:2020-09-05
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