The study explores the impact of digitalization and supply chain integration on the financial performance of the Tunisian agro-industrial sector, considering the growing importance of digital technologies in modern business operations. The objective is to examine the relationship between these two factors and financial performance in this sector. Data were collected through a questionnaire and analyzed using SPSS26 software, employing principal component analysis and linear regression. The results show that digitalization and supply chain integration significantly influence the financial performance of agro-industrial organizations in Tunisia. This study makes a theoretical contribution by shedding light on how digital advancements and supply chain strategies affect financial outcomes in this context. In conclusion, the findings highlight the significant effects of digitalization and supply chain integration on the financial performance of Tunisian agro-industrial companies.
This study diagnoses the systemic sustainability challenges in Iran's national automotive supply chain using Soft Systems Methodology to analyze the interrelated economic, environmental, social, technological, and managerial dimensions. The goal is to develop a conceptual model that reflects these complexities, validate it with real-world case data, and propose practical and desirable changes to improve sustainable supply chain management practices. The research addresses a critical gap in sustainability strategies for emerging markets with structurally constrained and politically sensitive industrial ecosystems. The study adopts an integrated approach combining systemic methodology and thematic analysis, utilizing semi-structured interviews with senior automotive industry experts and a targeted literature review. Rich pictures, conceptual modeling, and iterative validation ensured alignment between systemic challenges and practical realities, with data coded to identify barriers and enablers across the supply chain. Comparing conceptual and real-world models revealed key areas for intervention, including blockchain-enabled traceability, water recycling, supplier diversification, and digital integration to enhance sustainability. Findings highlight issues such as reliance on foreign suppliers, currency volatility, limited domestic manufacturing capacity, inefficient logistics, weak governance, and slow adoption of green technologies. Environmental concerns include water scarcity, inadequate vehicle scrappage systems, and high emissions from diesel transport. The study provides actionable recommendations for policymakers and industry managers, such as diversifying suppliers, implementing digital platforms, and introducing transparent governance. These measures can improve efficiency, reduce environmental impact, and increase resilience against political and economic disruptions. The research also offers future research needed to test the proposed interventions and explore policy frameworks for large-scale adoption.
The question of cybersecurity has turned into a necessity of credible digital finance, defining the expansion capacity of fintech sectors to increase access to secure and safe financial services. The phenomenon of fintech inclusion is becoming subject to the impact of institutional and corporate protection factors, which minimize perceived risk, and safeguard users, as well as confidence in digital financial channels. This paper is based on institutional and risk governance views and explores the influence of cybersecurity practices on fintech inclusion and suggests digital policies as a mediating factor that converts cybersecurity preparedness to inclusive fintech performance. Although increased attention is paid to cybersecurity and the modernization of regulations, there is still a lack of empirical data on the impact of cybersecurity practices on the inclusion of fintech based on policy-driven processes in a unified analytical framework. The 300 respondents who worked in the positions of information security managers, compliance and risk officers, fintech product managers, IT governance specialists, and senior executives were sampled to gather the data across the fintech-enabled organizations. The proposed hypothesized relationships were tested using Structural Equation Modeling based on the PLS-SEM. These results suggest that cybersecurity practices affect considerably digital policies and fintech inclusion, whereas digital policies affect considerably fintech inclusion. The mediation analysis ensures that the effect of cybersecurity practices on fintech inclusion is partly transmitted through the digital policies, which indicate that a better result is observed when backed by the clear governance structure and policy frameworks. The findings have practical implications to managers and policymakers who aim to improve the inclusion of fintech using secure and policy-driven digital finance environments.
This study explores how the digital business ecosystem enhances purchasing and supply management performance in the hospitality industry, focusing on the mediating role of service innovation capabilities and the moderating roles of collaborative network capabilities and knowledge sharing. Data were gathered through surveys from 401 managers of four- and five-star hotels in Türkiye, including purchasing managers and supply management professionals, and analyzed using structural equation modeling and moderated mediation analysis based on Hayes’ PROCESS macro. Digital business ecosystems positively influence purchasing and supply management performance, both directly and indirectly, via their service integration capability. Collaborative network capability and knowledge sharing serve as moderators in the research model. The findings confirm that integrating digital infrastructure, innovation capabilities, and collaborative networks improves purchasing efficiency, supplier collaboration, and overall supply management effectiveness in service-intensive environments.
This study develops a generalized finite-horizon inventory model that integrates complex demand patterns, deterioration, seasonal effects, and stochastic variability within a Monte Carlo-based simulation framework in MATLAB. The model incorporates fixed, holding, procurement, deterioration, transportation, backordering, and lost sales costs, enabling comprehensive cost evaluation. Simulation results show that deterioration and seasonality significantly affect optimal replenishment cycles and order quantities, and that the model yields robust cost estimates under uncertainty. Sensitivity analysis further indicates that the base demand rate has the strongest effect on cost outcomes, followed by procurement and backorder costs, whereas seasonality and holding cost parameters exhibit negligible influence.
