 Next generation business ecosystem: AI and data-driven management as enablersAnnika Steiber Chapter 12 in The Twin Digital and Green Transition, 2026, pp 214-225 from Edward Elgar Publishing Abstract: Competition today is a function of developments taking place in dynamic, self-evolving, and data-driven ecosystems. Twin transition, with AI adoption emerging as a critical enabler for next-generation business ecosystems, is a key part of these developments. Against this backdrop, this chapter elaborates on a model highly competitive, AI-enabled, and data-driven business ecosystem, referred to as ‘Ecosystem Micro Community’ (the EMC model). By referencing the cases of two business ecosystems developed by the Haier Group in China, this chapter demonstrates that Haier has rethought the traditional ecosystem model and has developed a highly competitive new generation of AI and data-driven innovation micro ecosystems, which effectively generate new revenues for the firm. It is also demonstrated that incorporating the AI and data-driven EMC model leads to sustainable competitive advantages, having significantly improved the ‘lead’ firm's financial and market performance. Notably, the EMC model has proven to be replicable and today is used by several Haier businesses, as well as external firms. Keywords: Ecosystem; Innovation; Next generation; AI; Data-driven; SDG; Industry innovation infrastructure (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:elg:eechap:24685_12 Ordering information: This item can be ordered from Access Statistics for this chapter More chapters in Chapters from Edward Elgar Publishing |
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