Author
Listed:
- Cheng Xu
- Yanqi Sun
- Howard Davey
Abstract
This paper proposes the “Sustainable Technological Convergence Model” (STCM), a multidisciplinary framework designed to address sustainability challenges within business operations. The model integrates edge computing, cognitive computing, bionic technology, and generative AI to promote clean production and sustainable development, aligning technological innovation with corporate social responsibility. The STCM framework is constructed through a strategic integration of emerging technologies. Edge computing optimizes data processing close to the source, reducing latency and energy usage. Cognitive computing applies advanced algorithms for intelligent decision‐making. Bionic technology utilizes insights from cognitive computing to design sustainable solutions inspired by natural systems. Generative AI synthesizes the findings to propose innovative, resource‐efficient designs that enhance operational sustainability and promote a circular economy. The STCM enhances business operational efficiency by reducing waste and maximizing resource use, while also strengthening strategic sustainability practices. This framework demonstrates the potential for businesses to gain a competitive advantage by adopting technology‐driven solutions that are aligned with environmental stewardship. This paper introduces the novel STCM, a unique integration of advanced technologies designed to meet the dual demands of business efficiency and sustainability. By bridging the gap between digital innovation and ecological conservation, the model offers a robust foundation for future sustainable business strategies.
Suggested Citation
Cheng Xu & Yanqi Sun & Howard Davey, 2026.
"Harmonizing the Quartet: The Symphony of Edge Computing, Cognitive Computing, Bionic Technology, and Generative AI in Orchestrating Sustainable Business Futures,"
Sustainable Development, John Wiley & Sons, Ltd., vol. 34(S1), pages 654-668, January.
Handle:
RePEc:wly:sustdv:v:34:y:2026:i:s1:p:654-668
DOI: 10.1002/sd.70196
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