Value Co-creation Mechanisms in Digital and Intelligent Innovation Ecosystems: A Perspective based on Resource Orchestration and Algorithm Empowerments

Abstract

With the explosive evolution of digital-intelligent technologies such as generative AI, deep learning algorithms, and the Internet of Things (IoT), the innovation ecosystem is undergoing a profound transition from a “connection-driven” digital ecosystem to a “computation- and adaptive intelligence-driven” digital-intelligent ecosystem. However, existing research has largely focused on static connections and factor sharing among two-sided platforms, leaving a theoretical “black box” regarding how digital-intelligent technologies reshape the mechanisms of collaborative transmission among multiple actors within the ecosystem. Based on resource orchestration theory and the perspective of algorithm empowerment, this paper systematically explores the mechanisms, evolutionary pathways, and governance strategies of value co-creation within digital-intelligent innovation ecosystems. The study finds that digital-intelligent innovation ecosystems exhibit three core characteristics: algorithmic dominance, architectural decoupling, and adaptive emergence; value co-creation follows a dynamic three-stage micro-evolutionary logic of “data sensing and resource structuring-algorithm empowerment and resource bundling-scenario emergence and resource leveraging”; and the effective operation of multi-actor value co-creation depends on the synergistic coordination of algorithmic governance and ecological relational contracts. This paper challenges the linear understanding of value creation on digital platforms found in existing literature, expands the applicability of resource orchestration theory in intelligent contexts, and provides a theoretical framework for digital and intelligent enterprises to orchestrate ecosystem resources and achieve a win-win outcome for all parties.