公司治理
业务
知识管理
数据治理
过程管理
数据交换
信息治理
计算机科学
信息系统
政治学
管理信息系统
营销
万维网
财务
数据质量
公制(单位)
法学
作者
Frank Bodendorf,Christoph Bayr
摘要
ABSTRACT With the emergence of data ecosystems organisations are not only analysing their own data but also utilising data outside of their boundaries. Interorganizational data exchange comes with new challenges in terms of data governance. Inspired by organisational information processing theory, this paper follows an action design research (ADR) approach to create a robust data governance framework. Four design principles, namely flexible digital platform, corporate data broker, mutual trust, and multi‐level monetisation, are introduced. Based on these principles, it is possible to develop a lean and robust business process for interorganizational data exchange. The evaluation of this process is based on exemplary projects coming from the Catena‐X network. The cross‐functional observations from these projects provide practical insights that guide practitioners and managers within networked organisations in identifying best practice principles and processes for effective interorganizational data governance. Thereby, this framework enables organisations to promote a standardised approach to data exchange that can be replicated across different organisational networks.
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