Blockchain technology is increasingly recognized as a transformative tool for improving agri-food supply chain (ASC) performance, particularly in enhancing transparency and traceability. Nonetheless, it has still not been widely adopted in developing nations like Pakistan. This study investigates the impact of blockchain adoption on ASC performance, incorporating transparency as a mediating variable and the Internet of Things (IoT) as a moderating factor within the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Data were collected from 333 professionals in Pakistan's agri-food sector and analyzed using smart PLS, with mediation and moderation effects. The findings reveal that blockchain adoption significantly improves supply chain performance. Transparency partially mediates this relationship, while IoT strengthens the effect by enabling real-time data sharing and monitoring. The study offers new insights into literature by extending UTAUT through the integration of blockchain and IoT, and by empirically validating their combined impact in a developing economy context. In practice, the results provide practical information to policy makers and industry players with a view to improving efficiency, accountability, and sustainability in the agri-food supply chains.

The advent of Business Intelligence (BI) can be seen as an important organizational capability for developing strategic decisions and innovation in the financial industry. On the other hand, the quick development of Financial Technology (FinTech) has greatly changed the face of financial services by ensuring operational effectiveness, better customer experience, and competitive advantage. In spite of the growing usage of business intelligence systems within financial organizations, there is still a shortage of empirical evidence about the processes of how business intelligence helps FinTech succeed in an organization. Specifically, prior studies did not pay much attention to the mediating role of Project Management Development in translating business intelligence into successful implementation of financial technology. In order to fill this gap, the current study is focused on investigating the direct impact of Business Intelligence on the success of Financial Technology, how Business Intelligence affects Project Management Development, how Project Management Development affects FinTech success, and the mediating effect of Project Management Development in this process. For this purpose, the Dynamic Capabilities Theory (DCT) and Resource-Based View (RBV) serve as the main theories for the current research. in order to boost the effectiveness of financial technologies. This research utilizes the Quantitative Research Methodology in which a standardized questionnaire survey is sent to managers and professionals in financial organizations working with Business Intelligence and Financial Technologies. The collected data is analyzed using the method of Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The proposed theoretical model suggests that Business Intelligence has a powerful positive influence on Project Management Development due to better data integration, higher analytic skills, effective decision-making process, and sharing of knowledge in the organization. As a result, Project Management Development Boosts Financial Technology Performance by improving planning, implementation, control, collaboration, and resource management of projects. Expected findings will contribute to the development of theories and practices by expanding the Dynamic Capabilities Theory into Financial Technology domain and providing practical evidence that efficient application of FinTech solutions is possible only in case of high Business Intelligence skills along with effective project management techniques.