امیر مهدی آبادی

The aim of the present exploratory research is the optimal simulation of a smart journalism model using a wireless sensor network. Regarding the effect of routing information transmission, in the challenge of energy consumption and the idea of smart routing (proposed), the combination of VGDRA protocol and Cuckoo meta-heuristic algorithm has been employed. Therefore, in order to enhance the efficiency of the smart journalism model, the smart mobile sink collects news information from journalists’ sensors based on the output of the two function optimizers of position and cost, through moving in a virtual dynamic route. The comparison of the simulation output in MATLAB displays compared to the VGDRA protocol, the proposed method reduces the convergence time of the network, the amount of energy consumed in the construction of the virtual backbone and reconstruction of the route, as well as increasing the lifetime of the wireless sensor network, and finally increasing the opportunity to collect news, by the journalists' sensors. The use of smart technologies in journalism is one of the solutions for competitive developments in the reconstruction of media and news agencies.

This study aims to design a social banking model for the development of micro and home businesses using the system dynamics method, addressing the lack of banking models that guarantee financial interests for both businesses and banks in Iran. The research employs a combination of quantitative (10 years of financial data from Qarz-ol-Hasanah Resalat Bank, 2013-2023) and qualitative (interviews with 15 banking and industry experts) data sources. The system dynamics modeling approach is applied to analyze key variables and relationships in social banking. The results indicate that developing social banking can shift banks away from non-productive investments and business ownership toward financing micro and home businesses. This shift enhances job creation, poverty reduction, sustainable value, and trust in the banking system while strengthening banks through increased public investment. While prior research has examined liquidity issues in manufacturing enterprises, this study uniquely focuses on the role of banks in supporting micro and home businesses through a dynamic social banking model, contributing to both theory and practice in sustainable finance. The proposed social banking model provides a practical framework for banks to reallocate resources from non-productive sectors toward micro and home businesses, fostering job creation, poverty reduction, and sustainable economic growth while enhancing trust in the banking system.

This research addresses the critical gap in Information Technology Governance (ITG) models specifically tailored for the successful implementation of Branchless Banking (BB). While ITG has been extensively studied, its application within the unique context of BB remains underexplored. This study proposes and validates an operational ITG model designed explicitly for BB implementation. Drawing upon a comprehensive literature review and insights from in-depth interviews with information security experts, this study identifies the key effects of ITG implementation on BB success. An operational model is developed and empirically validated using Partial Least Squares The structural modeling results demonstrate that ITG exerts a significantly more favorable and robust effect on BB success when mediated through Digital Transformation (DT). Furthermore, the core ITG framework components—Strategic Planning (SP), Risk Management (RM), and Quality Management (QM)—are found to have significant positive influences on the ITG framework itself. Crucially, ITG also exhibits a direct, positive, and significant impact on the successful implementation of BB. These findings underscore the necessity for banks to align their DT strategies with a robust ITG framework to effectively eliminate physical branches and digitize banking processes.