Author
Listed:
- Zhen Liu
(School of Management, Shanghai University, Shanghai 200444, China)
- Xiaoyun Lan
(School of Management, Shanghai University, Shanghai 200444, China)
- Xiying Wang
(School of Management, Shanghai University, Shanghai 200444, China)
- Shimin Tu
(School of Management, Shanghai University, Shanghai 200444, China)
- Meixin Xu
(School of Economics & Management, Shanghai Maritime University, Shanghai 201306, China)
Abstract
In the context of the ongoing digitalization of organizations, the question of how organizations facing complex AI can implement adoption decisions in order to maximize the effectiveness of their organizational AI adoption has become a topic of common concern in both academic and industrial circles. Given the significant impact of AI on enterprise productivity and the active embrace of AI by many enterprises, this paper, based on digital enterprises that have initially adopted AI, proposes the organizational AI adoption maturity model for further assessment of the process variable of organizational AI continuous adoption level. This model effectively classifies, conceptualizes and standardizes AI adoption levels, and develops a set of theory and application guidelines, which can integrate existing research into the AI adoption process. The objective of this study is to develop an application guide that will unify the existing research findings, identify the stage of a particular organization, diagnose and assess the level of AI continuous adoption in the organization, and plan for future development. Furthermore, the guide will continue to broaden the application of the conceptual framework to explain the dynamics and relativity of the model, thus laying the foundation for the future development of the organizational AI adoption maturity theory. This journey from “Stupid” to “Smart” reflects the evolving sustainability of AI integration within organizations. By mapping this progression, the study provides a clear pathway for enterprises to enhance their AI adoption strategies systematically. Ultimately, the sustainability map not only guides organizations in diagnosing their current AI maturity but also empowers them to plan strategically for intelligent and sustainable growth.
Suggested Citation
Zhen Liu & Xiaoyun Lan & Xiying Wang & Shimin Tu & Meixin Xu, 2025.
"Stupid to Smart: The Sustainability Map of AI in Organization,"
Sustainability, MDPI, vol. 18(1), pages 1-25, December.
Handle:
RePEc:gam:jsusta:v:18:y:2025:i:1:p:257-:d:1826998
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