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
The current research examined how Artificial Intelligence (AI) capabilities positively influence the performance and development of sustainable service innovation (SSI) within banks of Saudi Arabia. Research explored both the internal and external knowledge sources to identify potential mediators between AI capacity and developing SSI. This research utilized quantitative approach and data collection was preferred by employees of banks. Structural equation modeling was utilized to identify key findings that indicated positive impacts of AI capacity on SSI development directly and indirectly with the use of internal knowledge, however, did not validate external knowledge as a mediator. SSI development was determined to have a positive impact on financial performance for financial institutions resulting in an opportunity to demonstrate ethical and customer focused business value for innovative development. Theoretical contributions related to the resource-based view (RBV) and open innovation models were achieved through illustrations of the relationships between AI capacity, knowledge processes, and practices with the organization. Practically this study 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