New Concepts of MetaStructures: Algebra, Topology, Lattices, Queues, Markov Chains, and Intervals

Takaaki; Ajoy Kanti

doi:https://doi.org/10.54216/GJMSA.130103

International Journal of BIM and Engineering Science | 2026

Quantifying Geospatial Logistics Risks in Construction Supply Chains through an Integrated GIS-4D BIM Framework

Construction supply chains are inherently sensitive to spatial and logistical disruptions, yet conventional project planning approaches including standalone 4D BIM, rarely incorporate geospatial risk factors. This study proposes an integrated GIS-MCDM-4D BIM framework to quantify, simulate, and operationalize geospatial logistics risks within construction supply chains. The framework systematically translates GIS-derived spatial risk indicators such as supplier accessibility, transportation network variability, and route vulnerability into temporal constraints embedded in 4D BIM simulations. A real-world case study of a reinforced concrete project in Syria, involving multiple suppliers and a heterogeneous transportation network, is employed to validate the approach. Findings indicate that even minor spatial disruptions can cascade through interdependent construction activities, resulting in significant schedule delays. The integration of GIS and 4D BIM enables proactive, risk-informed planning, demonstrating that geospatial conditions exert a substantial influence on construction timelines. This framework advances beyond descriptive GIS applications by providing a quantitative, operational tool for enhancing schedule reliability, supplier selection, and decision-making in complex and unstable construction environments. The proposed methodology offers a transferable solution for managing geospatial logistics risks in diverse construction contexts.

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Batoul Hasanin mail -

Youssef Aris mail -

Sonia Ahmad mail -

Amarnath CB mail

link https://doi.org/10.54216/IJBES.120202

Volume & Issue

Vol. Volume 12 / Iss. Issue 2

Details open_in_new

Journal of International Economics Research | 2026

Intuition as a Double-Edged Sword: The Paradox of Visionary Leadership and Market Discounting

In the contemporary landscape of corporate governance, the role of intuition in strategic decision-making remains a contentious economic variable. This paper explores a phenomenon where managerial intuition acts as a double-edged sword, capable of generating both a “visionary premium” and a “governance discount.” While traditional financial models emphasize data-driven rationality, top-tier executives frequently rely on strategic intuition to navigate high-entropy environments. Through a comparative analysis of market capitalization trends and investor sentiment, this study identifies the conditions under which the market rewards intuitive leaps as innovation or penalizes them as information asymmetry. Our findings suggest that the economic outcome of intuitive leadership is mediated by “institutional trust” and “past performance signals.” The paper concludes by proposing a framework for “Analytical Verification,” suggesting that the most resilient market value is created when intuitive hypotheses are filtered through rigorous quantitative stress-testing.

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Dmitriy Yagudin mail

link https://doi.org/10.54216/JIER.030105

Volume & Issue

Vol. Volume 3 / Iss. Issue 1

Details open_in_new

Journal of International Economics Research | 2026

Economic Effects of AI Adoption in the Corporate Sector

The rapid development of digital technologies and artificial intelligence has significantly transformed the modern corporate environment. Artificial intelligence is increasingly used by companies to automate business processes, improve decision-making, and enhance operational efficiency. Therefore, studying the economic effects of AI adoption in the corporate sector has become highly relevant, especially for countries undergoing digital transformation such as Uzbekistan. The aim of this article is to analyze the economic impact of artificial intelligence adoption in the corporate sector and evaluate its influence on corporate productivity, operational efficiency, and profitability. The research is based on a quantitative analytical approach, including statistical analysis, comparative analysis, and case study methods. The empirical analysis was conducted using a sample of 30 companies from sectors such as banking, telecommunications, manufacturing, and information technology. The results show that companies implementing AI technologies demonstrate higher labor productivity (95,200 USD revenue per employee) compared to companies without AI adoption (71,400 USD). In addition, AI-adopting firms show lower operational costs (38% vs. 46%) and higher profitability indicators (ROA 11.8% compared to 7.4%). The findings confirm that artificial intelligence contributes to improving corporate efficiency and competitiveness. The practical significance of the study lies in providing evidence that AI adoption can support the development of the digital economy and enhance corporate performance in Uzbekistan.

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Artur Aleksandrovich Kim mail

link https://doi.org/10.54216/JIER.030201

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

Details open_in_new

Journal of International Economics Research | 2026

Remote Employment and Macroeconomic Transformation in the Digital Economy

The rapid development of digital technologies has significantly transformed labor markets and created new forms of employment organization. One of the most important trends in the digital economy is the expansion of remote employment, which allows employees to perform professional tasks outside traditional workplaces. The relevance of this study is determined by the growing importance of remote work and its potential macroeconomic effects on labor markets, productivity, and economic development. The aim of this article is to analyze the macroeconomic implications of remote employment and evaluate its role in the transformation of the labor market in Kazakhstan. The research is based on a quantitative analytical approach, including statistical and comparative analysis of employment data. The empirical study covered 24 organizations across four economic sectors, including information technology, finance, education, and professional services. The results show that the share of remote employees varies between 27.8% and 48.5% depending on the sector, with the highest level observed in the information technology industry. At the national level, the number of remote workers in Kazakhstan reached approximately 46,700 employees, representing about 0.5% of the total employed population. The findings indicate that remote employment contributes to increased labor flexibility and productivity in digitally intensive sectors. The study highlights the importance of developing digital infrastructure and improving digital skills to support the expansion of remote employment and strengthen the digital economy.

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Galiya Rakhmetovna Dauliyeva mail

link https://doi.org/10.54216/JIER.030202

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

Details open_in_new

Journal of International Economics Research | 2026

Global Food Market Integration and its Implications for National Food Security

The stability of global food markets has become a critical factor influencing national food security in many countries. In recent years, global food systems have experienced significant volatility due to economic globalization, climate change, geopolitical conflicts, and disruptions in international supply chains. These factors have increased the vulnerability of national food systems, particularly in countries that depend heavily on imported agricultural products. Therefore, studying the relationship between global food markets and national food security is highly relevant for ensuring sustainable economic and social development. The aim of this article is to analyze the impact of global food market dynamics on national food security and to evaluate the relationship between international food trade, food price volatility, and national food supply stability. The research is based on a quantitative analytical approach, including statistical analysis and comparative analysis of international food security indicators. The empirical analysis covers a sample of 20 countries, including 12 food-import-dependent countries and 8 agricultural exporting countries. The results show that the average Food Import Dependency Ratio reached 54.2% in import-dependent countries, while the average Global Food Security Index score was 62.4 compared with 71.8 in exporting countries. The study also identified significant volatility in the FAO Food Price Index, which increased from 98.1 in 2020 to 143.7 in 2022. The findings confirm that strengthening domestic agricultural production while maintaining balanced participation in global food markets can significantly improve national food security and enhance the resilience of food systems.

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Marina Rudolfovna Li mail -

Sergey Alekseevich Shoba mail

link https://doi.org/10.54216/JIER.030203

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

Details open_in_new

Journal of Sustainable Development and Green Technology | 2026

Increasing Bank Revenues through Open Banking and API-Based Services: Prospects for Uzbekistan

Presently, there has been increasing policy attention from financial regulators in emerging banking systems on the need to look into the institutional mechanisms that could strengthen revenue generation of commercial banks in digital banking ecosystems. This study was an attempt to highlight the role of Open Banking platforms and API-based financial services in determining bank revenue growth in digital banking markets & financial service ecosystems (Uzbekistan). Therefore, the empirical findings of the present study can be used to better comprehend how Open Banking frameworks could be implemented in enhancing bank revenue streams in Uzbekistan. The previously developed Open Banking adoption indicators, API service readiness indicators, and bank revenue determinants framework in digital financial studies were used to collect data from banking professionals in commercial banks and fintech institutions. AHP’s prioritization results and structural equation modeling results on Open Banking adoption and API service integration increased significantly after evaluation with the support of the SEM analytical model. Additionally, the results of AHP analysis showed that Open Banking services and API-enabled platforms were the main areas of priority to be adopted by commercial banks on the basis of revenue-generation potential and service-integration capability, respectively. Moreover, the results also showed that out of five determinants, API service integration played a significant role in linkages between Open Banking adoption and bank revenue growth. The implications derived from this study can be used for enhancing bank revenue diversification in the context of Open Banking ecosystems. The finding is important given that higher levels of the Open Banking infrastructure are often found in digital banking systems of developed economies which cost less per unit of financial transaction – as there is less manual processing involved.

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Gulchekhrakhon Ostonakulova mail

link https://doi.org/10.54216/JSDGT.060101

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

Pure Mathematics for Theoretical Computer Science | 2026

An Introduction to Probability, Hyper-Probability, and Super-Hyper-Probability

Standard probability theory assigns each event a single real value in [0, 1], satisfying non-negativity, normalization, and countable additivity. Hyper-Probability extends this notion by assigning to each event a set of probability values in [0, 1], thereby capturing multiple independent assessments from diverse sources. Super-HyperProbability further generalizes the framework by mapping events to iterated power sets of [0, 1], modeling hierarchical uncertainty across multiple aggregation levels. In this paper, we formally define the Hyper-Probability Measure and Hyper-Probability Distribution, examine their fundamental properties, and demonstrate how these constructs unify and extend classical probability within the Hyper- and Super-HyperProbability paradigms.

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Takaaki Fujita mail -

Ajoy Kanti Das mail

link https://doi.org/10.54216/PMTCS.060101

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

Pure Mathematics for Theoretical Computer Science | 2026

HybridFunctorial Structure and MultiFunctorial Structure

A Functorial Structure is defined as a covariant functor F : C → Set, assigning sets to objects and functions to morphisms, ensuring functoriality. In this paper, we introduce and formally define two new concepts: the HybridFunctorial Structure and the MultiFunctorial Structure. A HybridFunctorial Structure combines two functors on the same category, linked by a natural transformation, ensuring consistent pushforward compatibility. A MultiFunctorial Structure involves multiple functors indexed by a preorder, coherently related via natural transformations, forming compatible families with functorial consistency.

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Takaaki Fujita mail -

Ajoy Kanti Das mail

link https://doi.org/10.54216/PMTCS.060102

Volume & Issue

Vol. Volume 6 / Iss. Issue 1

Details open_in_new

Journal of International Economics Research | 2026

The Impact of Digital Banking Monetization on Bank Earnings Sustainability

Although research on digital banking monetization with financial performance is growing, few studies have focused on the sustainability of bank earnings through the perspective of digital revenue models. The purpose of this study is to examine the role of digital banking monetization and platform transaction income in achieving earnings sustainability in responding to the digital banking transformation. Collected banking data were subjected to a detailed regression analysis to estimate the conditional probability that a bank has a sustainable earnings structure, given the presence of one or more of its digital banking services. In order to analyze digital monetization and earnings sustainability while also including selection-related factors, certain financial indicators and control variables were combined with the dataset set defined by the sample selection process, which resulted in the Heckman selection model. The results show that banks’ favorable perceptions of the profitability of their digital banking services show digital monetization positively influences the formation of their earnings stability through the mediating effect of digital transaction income toward interest income diversification, fee-based revenues, and platform service charges. The results also show the positive impact of digital transaction revenues and platform service income on earnings stability during the digital banking expansion period. Moreover, understanding the contribution of digital banking monetization for earnings sustainability in relation to the platform-based model of banking is a contribution to financial research that may help future banks achieve faster digital transformation.

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Gulchekhrakhon Ostonakulova mail

link https://doi.org/10.54216/JIER.030204

Volume & Issue

Vol. Volume 3 / Iss. Issue 2

Details open_in_new

Galoitica: Journal of Mathematical Structures and Applications | 2026

New Concepts of MetaStructures: Algebra, Topology, Lattices, Queues, Markov Chains, and Intervals

A MetaStructure is a higher-level framework that treats entire collections of structures as single objects, equipped with natural operations that preserve isomorphisms across different domains. The term “Struc- ture” here refers broadly to mathematical systems as well as real-world models. An Iterated MetaStructure generalizes this idea recursively, generating successive layers in which structures of structures form deeper hierarchical meta-levels. In this work, we extend and investigate the properties of Algebra, Topology, Lattices, Queues, Markov Chains, and Intervals through the lens of MetaStructures and Iterated MetaStructures.

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Takaaki Fujita mail -

Ajoy Kanti Das mail

link https://doi.org/10.54216/GJMSA.130103

Volume & Issue

Vol. Volume 13 / Iss. Issue 1

Details open_in_new