The increasing role of sustainability and digitalization in the Chinese manufacturing industry signifies the necessity to learn how the new technologies can facilitate the positive results of environmentally responsible performance. This paper analyzes the associations between AI Integration Capability and Digital Twin Traceability and Sustainable Business Performance, considering Circular Economy Implementation and Environmental Transparency as mediators and Regulatory Pressure as a moderator. A structured questionnaire was used to gather data on manufacturing firms in major industrial zones in China, with 334 valid responses. The data were analyzed through partial least squares structural equation modeling (PLS‐SEM) using Smart‐PLS. The results show that the implementation of the circular economy is positively correlated with technological capabilities and green supply chain practices, which are in turn associated with increased environmental transparency and sustainable business performance. The findings also indicate that regulatory pressure reinforces the associations between AI‐, traceability‐, and sustainability‐related practices and the use of the circular economy, which emphasizes the role of external regulation in forming organizational responses to sustainability. The research is relevant to sustainability literature because it builds a theoretical framework that is largely based on the Dynamic Capabilities Theory, although some additional information is drawn on the Resource‐Based View and Institutional Theory to clarify the relationship between digitally enabled capabilities and sustainability performance. The results provide practical implications for managers and policymakers who aim to align digital innovation projects with the concepts of the circular economy and environmental transparency practices to achieve long‐term environmental and economic benefits. The paper also recognizes its limitations and provides future research directions on digitally enabled sustainability transitions.
Lixia Wu, P. Du, Jamshid Pardaev· Corporate Social Responsibil...· 0 citations
With the acceleration of the Chinese shift to sustainable development, companies are highly demanded to change the managerial preparedness to environmental innovation into quantifiable green entrepreneurial results. This paper investigates the effects of management readiness for green innovation (MRGI) on the success of green entrepreneurship based on green knowledge management (GKM) and green supply chain integration (GSCI), and evaluates the mediating nature of corporate environmental ethics (CEE). Data were gathered using a structured questionnaire from middle‐ and senior‐level managers in manufacturing and high‐technology companies in the environmentally sensitive industries across key industrial areas in China. Of the 1200 questionnaires distributed, 378 valid responses were retained for analysis using partial least squares structural equation modeling (PLS‐SEM) in Smart‐PLS. The results indicate that the MRGI is a significant contributor to the GKM, GSCI, and green entrepreneurial success. GKM and GSCI partially mediate the relationship between MRGI and green entrepreneurship success, with GSCI demonstrating a stronger mediating effect. CEE enhances the impact of GSCI on green entrepreneurial success. Theoretically, the research expands green entrepreneurship literature by conceptualizing management readiness as a higher‐order strategic capability. In practice, it emphasizes how companies should enhance preparedness, knowledge bases, supply‐chain partnerships, and moral environmental investment to achieve green entrepreneurial success. The novelty of the research lies in integrating readiness, knowledge, supply‐chain, and ethical mechanisms into a single framework within the Chinese industrial setting.
Bo Wu, Talla M. Aldeehani, Tin‐Chang Chang et al.· Corporate Social Responsibil...· 0 citations
Examining how Artificial Intelligence capabilities positively influence the performance and development of sustainable service innovation (SSI) within banks of Saudi Arabia provided insight in relation to how to implement AI technology as a structured process in the development of sustainable and competitive high performance financial services.
M. Bhatti, Jamshid Pardaev· Discover Sustainability· 0 citations