Analysis of the System of Factors Affecting Efficiency in the Process of Increasing Production Efficiency

Rasulova Durdona

doi:https://doi.org/10.54216/AJBOR.140104

International Journal of BIM and Engineering Science | 2025

A Unified Nonlinear Fiber-Based Framework for Predicting Axial–Flexural Interaction in Reinforced Concrete Shear Walls

Purpose - Reinforced concrete (RC) shear walls are critical lateral-load resisting elements; however, reliable prediction of their axial–flexural interaction behavior remains difficult, particularly for irregular geometries and nonuniform reinforcement layouts. This study aims to develop an accurate and versatile analytical framework to evaluate the global axial–flexural response of RC shear walls. Design/methodology/approach - A fully nonlinear, code-independent numerical framework is formulated based on strain compatibility, equilibrium enforcement, and curvature-controlled sectional analysis. The model incorporates advanced stress–strain relationships for confined and unconfined concrete, a bilinear steel constitutive law, and a high-resolution fiber discretization scheme capable of representing arbitrary cross-sectional shapes. The framework generates complete moment–curvature responses and axial–moment (P–M) interaction diagrams under uniaxial bending. Findings - The results exhibit strong agreement with established analytical models and reported experimental trends. The framework accurately captures nonlinear degradation, neutral-axis migration, confinement effects, and the influence of reinforcement distribution on axial–flexural capacity. Practical implications - The proposed model provides a reliable tool for performance-based assessment, design, and optimization of RC shear walls beyond simplified code provisions. Originality/value - The study introduces a geometry-independent, fully nonlinear modeling approach that enables detailed evaluation of irregular RC shear walls with enhanced accuracy and practical applicability.

groups

Islam Ibrahim Shoheb mail -

Moustafa Metwally mail -

Intan Rohani Endut mail

link https://doi.org/10.54216/IJBES.110201

Volume & Issue

Vol. Volume 11 / Iss. Issue 2

Details open_in_new

International Journal of BIM and Engineering Science | 2025

Dispute Management in Engineering Contracts Using Artificial Intelligence

The study put forward an integrated artificial intelligence-based approach to the analysis and prediction of contracting disputes in Engineering Projects, especially through Machine Learning methods and Deep Learning methods. Current ways of managing contracts cannot effectively deal with the complicated nature of Legal Texts and do not provide for early identification of potential disputes. This developed System was built using the Python Programming Language, using key libraries for Natural Language Processing (NLP) and Machine Learning (ML). The cache of Contract Documents in all formats was transformed into numerical vectors using TF-IDF once all Document Processing and Clean-up Procedures were completed. Multiple Models were built, with trained versions of each, including Logistic Regression, SVM, Voting Classifiers and an MLP (Multi-Layer Perceptron) based Neural Network model. Since each Contracting Dispute was modelled separately to improve overall prediction accuracy, initial recommendations for resolution are generated. Results show that the MLP performed in a SUPERIOR fashion, with an Overall Model Accuracy of 88%, and F1 Score of 0.874, effectively classifying Contracting Disputes relating to Delays, Payments and Scope Variations. The application of this framework to an actual example taken from the construction industry in Syria reaffirmed the capability of automating contract text review and improving risk management. This reinforces the importance of artificial intelligence as a tool for increasing proactive decision-making and minimizing conflict in engineering projects.

groups

Rania Bashir mail -

Marek Salamak mail -

Sonia Ahmed mail

link https://doi.org/10.54216/IJBES.110202

Volume & Issue

Vol. Volume 11 / Iss. Issue 2

Details open_in_new

American Journal of Business and Operations Research | 2025

From Industry Labels to Offer Prices: Measuring Ai Association Effects on IPOS

As more companies position themselves to capitalize on becoming AI-driven innovators or market disruptors rather than traditional technology firms, this raises an important question for valuation research. The purpose of this study is to collect and analyze the various datasets, indicators, and patterns available in the current landscape of initial public offerings (IPOs) that are associated with artificial intelligence (AI). To (a) evaluate the effectiveness of econometric methods used within AI-related IPO analyses based primarily on narrative valuation and financial modeling, and (b) identify which industry indicators are the most predictive of pricing outcomes within these offerings. This paper then extends the existing literature by linking the narrative and quantitative dimensions of IPO valuation with the behavioral economics of investors and underwriters. Firms from AI-intensive sectors have a valuation premium and are relatively more appealing than non-AI peers in investor sentiment and pricing expectations. This results in a framework of factors defining AI association, valuation dynamics, and narrative influence that are considered relevant for the capital formation process. Within each model, results show differential effects for companies that belong to and do not belong to AI-related industries in price formation and fundraising outcomes. By bringing together descriptive insights and regression-based evidence on AI affiliation and IPO performance, this study reinforces the possibility of narrative bias and the symbolic influence of AI association through the combined analysis of market data from technology, financial, and innovation ecosystems. There is, however, a need for greater refinement concerning these classification measures to further improve the accuracy of IPO valuation models.

groups

Shakhzod Saydullaev mail

link https://doi.org/10.54216/AJBOR.130203

Volume & Issue

Vol. Volume 13 / Iss. Issue 2

Details open_in_new

American Journal of Business and Operations Research | 2025

From Data to Decisions: Integrating Speech Analytics and Machine Learning in Call Centers using AI tools

The current swift advancement of Artificial Intelligence (AI) technologies is transforming operations management by integrating real-time data-driven insights for cost optimization and improved decision-making. In this paper, we explore the fusion of artificial intelligence (AI) technologies in call center operations management, focusing on how the integration of speech-to-text, text-to-speech, and speech analytics tools is revolutionizing customer interaction and decision-making. The fusion of real-time conversational data with advanced machine learning algorithms enables organizations to extract actionable insights, optimize key performance indicators (KPIs), and enhance customer satisfaction. Furthermore, in this research, we are estimating the approximate return on investment in the benchmarked private sectors of Uzbekistan, thus contributing to the future networks in the industry. Our research work bridges the gap between theoretical AI advancements and their practical applications, contributing to the growing body of knowledge on information fusion in intelligent systems in the emerging Uzbek market.

groups

Ruxsoraxon Abduqayumova mail -

Nargiza Alimukhamedova mail -

Maxbuba Ismailova mail

link https://doi.org/10.54216/AJBOR.130204

Volume & Issue

Vol. Volume 13 / Iss. Issue 2

Details open_in_new

International Journal of BIM and Engineering Science | 2025

The Leadership Triad in Digital Construction: A Behavioral Model for ISO 19650 Adoption

Purpose – ISO 19650 plays the most important part within the current digital transformation of the construction sector. However, the implementation of this ISO 19650 standard faces major challenges that primarily involve organizational and personal aspects. Based on this context, the current research aims to fill the "digital leadership gap" through exploration of critical factors for effective implementation from the perspective of interrelations between different leadership styles and change management strategies. Design Methodology – This current research used a mixed-methods design that combined quantitative and qualitative research. The case information was collected from 104 participants who answered the questionnaire. Additionally, seven in-depth interviews were conducted with experts from the sector. These were stratified because they targeted two opposing contexts: on one side the United Kingdom (because the motivation is obligatory for the whole organization), while on the other side Saudi Arabia (due to motivational ambitions that fall into the framework of "Vision 2030"). Results – The quantitative results showed that transformational leadership style and effective systematic change management were the most essential factors that influence successful implementation. Furthermore, the results confirmed that the directive style was not significant on the whole. These results were deepened from the quantitative results using the complementary information that showed that leaders who use "behavioral flexibility" have better potential to balance transformational (to create vision), participative (to induce ownership), and directive (as tactics on critical points) approaches. Results demonstrated that the initial context of leadership had significant influence on the initial phase of change management. Practical Implications – Given the findings from this current research, the ILCM (Integration of Leadership and Change Management) framework was proposed. According to the results, it was clear that the key factor to ensure the achievement of change management in any organizational context was the strategic integration of leadership qualities. These findings led to providing specific advice that urged all organizations to improve "leadership flexibility" among their leaders and change management strategies embodied in plan design. These advice urged researchers and designers of change management strategies to incorporate leadership strategies into every stage of change management. Additionally, they considered the specific context depending on the motivations. Originality Value - The originality and value addition of this research work arise from its ability to offer an integrated model that captures the dynamic interplay between the theory of leadership and change management in order to fill the gap that exists between theory and practical applications in the construction industry. The research also adds to the existing knowledge base through its comparison approach that gives an accurate interpretation of how the digital transformation routes are affected by the impact of numerous factors of influence.

groups

Ashraf Elhendawi mail -

Abdul Salam Darwish mail -

Khaled Alhosani mail

link https://doi.org/10.54216/IJBES.110203

Volume & Issue

Vol. Volume 11 / Iss. Issue 2

Details open_in_new

American Journal of Business and Operations Research | 2026

The Main Directions of the Green Economy in the Agricultural Sector of the Republic of Uzbekistan

One of the key areas of the green economy in Uzbekistan's agriculture is the development of organic farming. The purpose of the article is to develop organic agriculture based on the use of natural methods of crop cultivation, the rejection of chemical fertilizers and pesticides, and the use of biological plant protection products. At the same time, in connection with the “green” economy, which is one of the most pressing tasks not only in our country, but also in the world economy, work is underway to develop the green economy in our country and in the world, as well as to analyze international cooperation.

groups

Lutfullaeva Nargiza Hikmatullaevna mail

link https://doi.org/10.54216/AJBOR.140101

Volume & Issue

Vol. Volume 14 / Iss. Issue 1

Details open_in_new

American Journal of Business and Operations Research | 2026

Strategic Management in Transitional Higher Education Systems: Evidence from Uzbekistan

Since 2017, Uzbekistan has undertaken unprecedented reforms in its higher education sector, transforming universities into central actors within the national “Third Renaissance” and the “Uzbekistan–2030” Development Strategy. While these reforms have expanded access, introduced international standards, and diversified institutional structures, a critical gap persists between policy intent and institutional implementation. Therefore, this study investigates how higher education institutions (HEIs) in Uzbekistan manage reform at the institutional level and identifies the structural barriers that hinder long-term global competitiveness. Drawing on theories, the paper conceptualizes strategic management in HEIs as a dynamic interaction between internal resources, external pressures, leadership agency, and stakeholder expectations. Based on this theoretical integration and contextual analysis, the study proposes a context-specific framework built on five strategic pillars: Human Capital, Research Capacity, Educational Differentiation, Internationalization, and Digital Strategy. These pillars provide a practical roadmap for transforming Uzbek universities from administratively managed entities into strategically governed, innovation-driven organizations. The findings demonstrate that global competitiveness in higher education depends not on expansion alone, but on the quality of strategic management within institutions. Bridging the gap between reform legislation and practice requires empowered leadership, professional management structures, and a clear strategic vision.

groups

Nilufar Ismailova mail

link https://doi.org/10.54216/AJBOR.140102

Volume & Issue

Vol. Volume 14 / Iss. Issue 1

Details open_in_new

American Journal of Business and Operations Research | 2026

Renewable Energy as a Driver of ESG Transformation of the Energy Complex and Industrial Clusters in Uzbekistan

This article examines the role of renewable energy (RES) as a key driver of the ESG transformation of Uzbekistan's energy sector and industrial clusters. Based on data from international organizations and specialized analytical reviews, the electricity sector's high dependence on natural gas (approximately 76% of generation in 2023) heightens energy security and sustainability risks amid declining gas production and rising electricity demand. An integrated framework for ESG energy transition management (ESG KPIs + scenario-based effects model) is proposed as a methodological solution, focusing on industrial cluster chains (textiles, construction materials, chemicals/metallurgy, and agro-industrial processing). An assessment of the economic effects of replacing gas-fired power generation with RES is conducted under a scenario in which target benchmarks are achieved by 2030 (scaling RES to 21–27 GW and increasing the share of RES in the electricity supply). The results show that the introduction of renewable energy sources in combination with energy efficiency at the cluster level can provide a sustainable economic effect through the release of gas (alternative cost of fuel), a reduction in electricity costs and losses, an increase in investment attractiveness, and access to “green” financing in the logic of the national green taxonomy.

groups

Marina Sagatovna Abdurashidova mail -

Tehmina Rafi mail

link https://doi.org/10.54216/AJBOR.140103

Volume & Issue

Vol. Volume 14 / Iss. Issue 1

Details open_in_new

International Journal of BIM and Engineering Science | 2026

Evaluating the Sustainability Criteria of the Damascene Islamic House Based on the Leadership in Energy and Environmental Design (LEED)

This study examines the architectural elements that characterize the Islamic style, such as the inner courtyard, mashrabiyas (latticework screens), windcatchers, and others, explaining their role in achieving a balance between human needs and climatic conditions. It also explores the traditional building materials used in the Damascene house and their role in providing thermal insulation and adapting to the surrounding environment. The study employs a descriptive-analytical approach, collecting data through an analysis of historical and contemporary literature on the Damascene house as a model of traditional Islamic architecture. This includes the use of sustainable materials (stone, tuff, wood, etc.) and designs that achieve energy efficiency and rely on renewable energy sources (mashrabiyas, windcatchers, and inner courtyards). These elements are then compared with their counterparts in modern architectural designs. To assess the sustainability of the Damascene house, it was evaluated using the Leadership in Energy and Environmental Design (LEED) system. The number of points it could receive if it met the LEED assessment criteria was calculated, and its sustainability rating was determined. The LEED system assigns several ratings that reflect the degree of sustainability achieved by a building: Standard, Silver, Gold, and Platinum. The study concluded that the high level of sustainability provided by the Damascene house makes it a successful sustainable model that combines Islamic cultural heritage with harsh and challenging climatic conditions. It received a Platinum rating with a sustainability score of (82.85%). This underscores the need to draw inspiration from the creative elements found in the Damascene house in modern building designs, achieving significant economic savings and reducing negative environmental impacts. A set of recommendations and proposals was developed to utilize the elements and components of the Damascene Islamic house in achieving the desired sustainability.

groups

Mohammed Ali Alshamali mail

link https://doi.org/10.54216/IJBES.120101

Volume & Issue

Vol. Volume 12 / Iss. Issue 1

Details open_in_new

American Journal of Business and Operations Research | 2026

Analysis of the System of Factors Affecting Efficiency in the Process of Increasing Production Efficiency

This study analyzes the system of factors affecting production efficiency in the context of increasing production efficiency under conditions of innovative economic development. The research emphasizes rational resource use as a key driver of sustainable industrial growth and competitiveness. Based on a system approach, efficiency factors are classified into macro- and micro-levels, as well as internal and external environments, with a particular focus on controllable micro factors. Using the input–output framework and a case-oriented analysis of porcelain production, the paper identifies labor, capital, raw materials, energy, technology, and inventory management as the most influential internal factors. The findings show that coordinated management of these factors, supported by feedback mechanisms and strategic resource management, can significantly improve productivity, reduce costs, and enhance product quality.

groups

Rasulova Durdona Gayratovna mail

link https://doi.org/10.54216/AJBOR.140104

Volume & Issue

Vol. Volume 14 / Iss. Issue 1

Details open_in_new