WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394
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Article The Synergistic Engine of Sustainable Entrepreneurship: Fueling AI-Driven Circular Transformation and Social Entrepreneurial Orientation with Knowledge Integration and Digital Capabilities(Elsevier B.V., 2026-09) Shah, Syed Haider Ali; Murad, Majid; Wang, MansiDrawing on dynamic capability theory, this study examines how AI-driven circular transformation (AIT) and social entrepreneurship orientation (SEO) contribute to sustainable entrepreneurial success (SES). This study further investigates the mediating role of knowledge integration (KNI) and the moderating effect of digital capabilities (DIC) in these relationships. Data were collected from 442 top-level managers working in high-tech manufacturing industries in Guangdong Province, China, and were analyzed using partial least squares structural equation modeling. The empirical findings suggest that both AI-driven circular transformation and SEO have a positive influence on SES. Moreover, KNI is found to significantly mediate the relationships between AIdriven circular transformation, SEO, and SES. Additionally, DIC positively moderate the relationship between KNI and SES. Furthermore, this study offers implications for managers and policymakers seeking to promote sustainable entrepreneurship. The results highlight the importance of integrating AI-enabled circular practices with socially oriented entrepreneurial strategies to enhance long-term entrepreneurial outcomes. Finally, the results suggest that investments in DIC and effective KNI mechanisms can strengthen firms' dynamic capabilities, thereby supporting sustainability-oriented innovation and entrepreneurial success.Article Citation - WoS: 31Citation - Scopus: 39Full-Length Effects of the Circular Economy, Environmental Policy, Energy Transition, and Geopolitical Risk on Sustainable Electricity Generation(Elsevier Sci Ltd, 2023) Chishti, Muhammad Zubair; Dogan, Eyup; Zaman, UmerThe recent global paradigm shift toward sustainable green development necessitates revealing the likely green determinants of sustainable electricity generation in order to derive key policy recommendations for dealing with the global energy crisis. As a result, the current study focuses on the drivers of global electricity generation (EG) and identifies environmental policy (EP), energy transition (ET), geopolitical risk (GPR), and circular economy (CE) as novel determinants. The study employs a battery of advanced econometric techniques, including quantile VAR, quantile slope estimate, and wavelet-based correlation methods, for empirical analysis. The quantile VAR -based connectedness confirms the modeled series' significant interconnectedness. Furthermore, the findings suggest that CE plays an important role in promoting the global EG process, as evidenced by positive effects across quantiles. When the effects of ET and EP are considered, a positive relationship between ET, EP, and EG is discovered, implying that ET and EP are important drivers of electricity generation. Furthermore, GPR has significant and negative effects on EG across most quantiles, indicating that the EG process suffers a significant loss as a result of GPR. Furthermore, the wavelet-based correlation method confirms the significant association between selected series, supporting the preceding findings. In order to achieve sustainable electricity generation, several results-based policies are proposed for local and global authorities.