AI-driven digital business ecosystems: a study of Haier's EMCs

What is it about?

In today's dynamic business landscape, competition is no longer limited to isolated entities but occurs within complex ecosystems. The growing recognition of this reality has prompted companies to seek new organizational solutions, leading to the introduction of novel organizational units, roles, and structures. Therefore, new organizational entities have begun to surface, driven by the need to thrive in a competitive ecosystem-based environment. Currently, however, there is a knowledge gap regarding the determinants of open innovation processes and outcomes in a joint value creation context, as well as what role AI and data management play in facilitating open innovation processes. By focusing on joint value creation through open innovation, supported by AI and data management there is a need for Digital Business Ecosystem (DBE) level studies to better understand key attributes and the management of a DBE, as well as what role AI and data management play in value-creating digital business ecosystem and its open innovation processes. The purpose of this paper is to improve our current knowledge of this urgent issue in contemporary management through the lens of an ecosystem-based theory by conducting an empirical study on two digital business ecosystems (called Ecosystem Micro Communities (EMCs)), developed by Haier, as well as a literature review on the concepts ‘Haier EMC’ and ‘digital business ecosystem’.

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