Medium-sized enterprises face the dual challenge of optimizing inventory practices while aligning with sustainable objectives. Effective inventory management in medium-sized enterprises remains a critical factor in balancing operational efficiency and sustainability. This study addresses the challenge by investigating strategic optimization approaches for inventory control. The background explores the complexities of inventory management, emphasizing the need for enhanced techniques in medium-sized enterprises. The problem statement underscores the necessity of innovative methodologies to navigate the intricate landscape of inventory control and sustainability. To address these challenges, advanced methodology based on LightGBM is applied to forecast demand, assess vendor purchase costs, optimize stock levels, and evaluate predictive performance. Empirical findings, showcased through visualizations, revealed insights into the distribution of purchase costs among vendors, daily sales velocity by product, and comparisons between current and recommended stock levels for top products. Comparative analyses demonstrated LightGBM's superior predictive performance over baseline models, highlighting its potential as a valuable tool in decision-making for inventory management.
Read MoreDoi: https://doi.org/10.54216/AJBOR.110101
Vol. 11 Issue. 1 PP. 08-16, (2024)
This article presents our research effort to explore the convergence of sustainable banking practices and predictive modeling for bank loan defaults, with a primary emphasis on addressing the pressing need for resilient financial systems. To this end, an applied methodology is presented in this study to model bank loan defaults, emphasizing the incorporation of sustainability criteria into predictive analytics. Given the temporal nature of load data, our approach leverages Long Short-Term Memory (LSTM) networks as its backbone process for predictive modeling. The empirical results of the public case study underscored the enhanced predictive accuracy completed through this approach, emphasizing the pivotal function of integrating sustainability metrics in predicting mortgage defaults inside the banking area.
Read MoreDoi: https://doi.org/10.54216/AJBOR.110102
Vol. 11 Issue. 1 PP. 17-24, (2024)
The article considers information about the current state of small business and private business entities, their growth trends, and the article also shows the role of small business and private business entities in the current economy and their share in some sectors. The article describes the external and internal problems that are currently the most difficult for business entities and how to solve them. Additionally, the results of the survey conducted among entrepreneurs are also included in the analytical center of the article. Statistical indicators and results of econometric analysis are expressed in a convenient visual graphic form.
Read MoreDoi: https://doi.org/10.54216/AJBOR.110103
Vol. 11 Issue. 1 PP. 25-30, (2024)
This study investigates the intricate dynamics of fostering economic growth and global trade through digitalized international transport corridors (ITCs), focusing on the proposed China-Kyrgyzstan-Uzbekistan (CKU) railway project within the framework of the eTIR Convention. Employing a comprehensive mixed-methods approach, integrating quantitative data from official sources, the research delves into the transformative potential of the CKU railway in linking Central Asia to China and Europe, thereby amplifying Uzbekistan's economic growth and global trade. Despite the project's potential to bolster trade competitiveness, stimulate regional integration, and foster economic diversification, the analysis uncovers challenges such as geopolitical tensions, environmental impacts, and financial sustainability, which could impede seamless implementation and operation. Leveraging the ARDL (2,1) model, the study reveals a direct dependency between the GDP growth rate and income from China to Uzbekistan, suggesting a substantial linear relationship. However, caution is advised in drawing definitive policy or economic implications, as further nuanced analysis and contextual understanding are imperative. The paper concludes by offering nuanced policy recommendations to enhance the governance and management of ITCs in Uzbekistan, emphasizing the necessity for a holistic and adaptive approach to navigate the complexities of such transformative projects, especially within the digitalized landscape and the context of the eTIR Convention.
Read MoreDoi: https://doi.org/10.54216/AJBOR.110104
Vol. 11 Issue. 1 PP. 31-42, (2024)
The study aims to explore the moderating effect of audit quality on the association between voluntary disclosure and profitability. The study sample consists of (34) industrial companies listed on the "Amman Stock Exchange (ASE)" during the period (2017-2021). To achieve the objectives of the study, the content analysis method has been used to measure the impact of voluntary disclosure by reviewing 32 items of voluntary disclosure. Several statistical methods that fit the objectives of the study are used as well. The results of the study show that there is a positive association between the voluntary disclosure level and the profitability of the company, and that the moderating variable of audit quality negatively affects the relationship between voluntary disclosure and the profitability of the company. Considering the aforesaid results, the study recommends making voluntary disclosure by the industrial companies listed on the "ASE" due to its role in enhancing the profitability of companies.
Read MoreDoi: https://doi.org/10.54216/AJBOR.110105
Vol. 11 Issue. 1 PP. 43-53, (2024)