Organization Of System Research Articles

Development and implementation of an integrated food commodities reservation and management system for the Kasu Majlis cooperative society using structured approach

This paper presents the development and implementation of an integrated food commodities reservation and management system for the KASU Majlis Cooperative Society. Developed using PHP and MySQL within the XAMPP environment, this web-based system addresses inefficiencies in the existing manual process, thereby enhancing operational efficiency and member satisfaction within the cooperative society. This research identifies key challenges, such as delays and inaccuracies in processing requests and inventory management. In response, an automated system has been developed to modernize these processes. The key features include user registration, reservation tracking, and inventory management. The system allows users to confirm their details, view available commodities, reserve items online, check costs, and print reservation forms with email notifications sent upon request submission. These features ensure convenience, transparency, and efficiency. The system was designed using the waterfall model because of its simplicity and ease of implementation. Comprehensive testing was conducted to validate the reliability and performance of the system. The results from the implementation show significant improvements in request-handling accuracy and operational efficiency. Feedback from users indicates increased satisfaction owing to the user-friendly interface and timely updates of the system. The successful deployment of this system demonstrates its potential to enhance operational workflow, reduce waiting times, and improve communication between members and executive officers. This study offers a practical and scalable solution to common challenges in cooperative management, providing a foundation for future advancements in automated systems for similar cooperatives or organizations.

RETRACTED ARTICLE: Business predictive analysis from business insurance data using business strategic planning techniques

ABSTRACT Retraction statement We, the Editors and Publisher of the journal Knowledge Management Research & Practice (the “Journal”), have retracted the following articles that were published in the Special Issue titled “ The Impact of Artificial Intelligence on Knowledge Management and Business Strategic Planning ” guest-edited by Gunasekaran Manogaran: Fu, C., Jiang, H., & Chen, X. (2022). Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1854632 Wu, H., Gu, X., Zhao, Y., & Liu, W. (2020). Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1813642 Wang, M. (2020). Financing support strategy of green manufacturer for financially constrained retailer. Knowledge Management Research & Practice, 1–15. https://doi.org/10.1080/14778238.2020.1771224 Elashkar, E., Aldeek, F., & Shoukry, A. (2020). Business predictive analysis from business insurance data using business strategic planning techniques. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1776172 Huang, Z., He, J., & Ren, X. (2021). Application of artificial intelligence in enterprise knowledge management performance evaluation. Knowledge Management Research & Practice, 1–9. https://doi.org/10.1080/14778238.2020.1850187 Lei, Z., & Wang, L. (2020). Construction of organisational system of enterprise knowledge management networking module based on artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1831892 Li, Z., & Mo, T. (2020). Early warning of engineering project knowledge management risk based on artificial intelligence. Knowledge Management Research & Practice, 1–11. https://doi.org/10.1080/14778238.2020.1834885 Yang, J., Wen, C., & Gan, L. (2021). Model of an Enterprise Knowledge Chain Management System Based on Multiagent Technology in Distributed Artificial Intelligence. Knowledge Management Research & Practice, 1–12. https://doi.org/10.1080/14778238.2020.1850188 Bai, X., & Li, J. (2020). The best configuration of collaborative knowledge innovation management from the perspective of artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1834886 Following publication, the Publisher identified concerns regarding the editorial handling of the Special Issue and the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editors-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editors-in-Chief and Publisher have decided to retract all of the articles within the above-named Special Issue. The Editors-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The Journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’. © 2019 Informa UK Limited, trading as Taylor & Francis Group/Journal owner

RETRACTED ARTICLE: Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence

Retraction statement We, the Editors and Publisher of the journal Knowledge Management Research & Practice (the “Journal”), have retracted the following articles that were published in the Special Issue titled “ The Impact of Artificial Intelligence on Knowledge Management and Business Strategic Planning ” guest-edited by Gunasekaran Manogaran: Fu, C., Jiang, H., & Chen, X. (2022). Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1854632 Wu, H., Gu, X., Zhao, Y., & Liu, W. (2020). Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1813642 Wang, M. (2020). Financing support strategy of green manufacturer for financially constrained retailer. Knowledge Management Research & Practice, 1–15. https://doi.org/10.1080/14778238.2020.1771224 Elashkar, E., Aldeek, F., & Shoukry, A. (2020). Business predictive analysis from business insurance data using business strategic planning techniques. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1776172 Huang, Z., He, J., & Ren, X. (2021). Application of artificial intelligence in enterprise knowledge management performance evaluation. Knowledge Management Research & Practice, 1–9. https://doi.org/10.1080/14778238.2020.1850187 Lei, Z., & Wang, L. (2020). Construction of organisational system of enterprise knowledge management networking module based on artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1831892 Li, Z., & Mo, T. (2020). Early warning of engineering project knowledge management risk based on artificial intelligence. Knowledge Management Research & Practice, 1–11. https://doi.org/10.1080/14778238.2020.1834885 Yang, J., Wen, C., & Gan, L. (2021). Model of an Enterprise Knowledge Chain Management System Based on Multiagent Technology in Distributed Artificial Intelligence. Knowledge Management Research & Practice, 1–12. https://doi.org/10.1080/14778238.2020.1850188 Bai, X., & Li, J. (2020). The best configuration of collaborative knowledge innovation management from the perspective of artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1834886 Following publication, the Publisher identified concerns regarding the editorial handling of the Special Issue and the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editors-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editors-in-Chief and Publisher have decided to retract all of the articles within the above-named Special Issue. The Editors-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The Journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’. © 2019 Informa UK Limited, trading as Taylor & Francis Group/Journal owner

RETRACTED ARTICLE: Model of an Enterprise Knowledge Chain Management System Based on Multiagent Technology in Distributed Artificial Intelligence

Retraction statement We, the Editors and Publisher of the journal Knowledge Management Research & Practice (the “Journal”), have retracted the following articles that were published in the Special Issue titled “ The Impact of Artificial Intelligence on Knowledge Management and Business Strategic Planning ” guest-edited by Gunasekaran Manogaran: Fu, C., Jiang, H., & Chen, X. (2022). Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1854632 Wu, H., Gu, X., Zhao, Y., & Liu, W. (2020). Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1813642 Wang, M. (2020). Financing support strategy of green manufacturer for financially constrained retailer. Knowledge Management Research & Practice, 1–15. https://doi.org/10.1080/14778238.2020.1771224 Elashkar, E., Aldeek, F., & Shoukry, A. (2020). Business predictive analysis from business insurance data using business strategic planning techniques. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1776172 Huang, Z., He, J., & Ren, X. (2021). Application of artificial intelligence in enterprise knowledge management performance evaluation. Knowledge Management Research & Practice, 1–9. https://doi.org/10.1080/14778238.2020.1850187 Lei, Z., & Wang, L. (2020). Construction of organisational system of enterprise knowledge management networking module based on artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1831892 Li, Z., & Mo, T. (2020). Early warning of engineering project knowledge management risk based on artificial intelligence. Knowledge Management Research & Practice, 1–11. https://doi.org/10.1080/14778238.2020.1834885 Yang, J., Wen, C., & Gan, L. (2021). Model of an Enterprise Knowledge Chain Management System Based on Multiagent Technology in Distributed Artificial Intelligence. Knowledge Management Research & Practice, 1–12. https://doi.org/10.1080/14778238.2020.1850188 Bai, X., & Li, J. (2020). The best configuration of collaborative knowledge innovation management from the perspective of artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1834886 Following publication, the Publisher identified concerns regarding the editorial handling of the Special Issue and the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editors-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editors-in-Chief and Publisher have decided to retract all of the articles within the above-named Special Issue. The Editors-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The Journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’. © 2019 Informa UK Limited, trading as Taylor & Francis Group/Journal owner

RETRACTED ARTICLE: Application of artificial intelligence in enterprise knowledge management performance evaluation

Retraction statement We, the Editors and Publisher of the journal Knowledge Management Research & Practice (the “Journal”), have retracted the following articles that were published in the Special Issue titled “ The Impact of Artificial Intelligence on Knowledge Management and Business Strategic Planning ” guest-edited by Gunasekaran Manogaran: Fu, C., Jiang, H., & Chen, X. (2022). Modeling of an Enterprise Knowledge Management System Based on Artificial Intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1854632 Wu, H., Gu, X., Zhao, Y., & Liu, W. (2020). Research on the Relationship between Structural Hole Location, Knowledge Management and Cooperative Innovation Performance in Artificial Intelligence. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1813642 Wang, M. (2020). Financing support strategy of green manufacturer for financially constrained retailer. Knowledge Management Research & Practice, 1–15. https://doi.org/10.1080/14778238.2020.1771224 Elashkar, E., Aldeek, F., & Shoukry, A. (2020). Business predictive analysis from business insurance data using business strategic planning techniques. Knowledge Management Research & Practice, 1–10. https://doi.org/10.1080/14778238.2020.1776172 Huang, Z., He, J., & Ren, X. (2021). Application of artificial intelligence in enterprise knowledge management performance evaluation. Knowledge Management Research & Practice, 1–9. https://doi.org/10.1080/14778238.2020.1850187 Lei, Z., & Wang, L. (2020). Construction of organisational system of enterprise knowledge management networking module based on artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1831892 Li, Z., & Mo, T. (2020). Early warning of engineering project knowledge management risk based on artificial intelligence. Knowledge Management Research & Practice, 1–11. https://doi.org/10.1080/14778238.2020.1834885 Yang, J., Wen, C., & Gan, L. (2021). Model of an Enterprise Knowledge Chain Management System Based on Multiagent Technology in Distributed Artificial Intelligence. Knowledge Management Research & Practice, 1–12. https://doi.org/10.1080/14778238.2020.1850188 Bai, X., & Li, J. (2020). The best configuration of collaborative knowledge innovation management from the perspective of artificial intelligence. Knowledge Management Research & Practice, 1–13. https://doi.org/10.1080/14778238.2020.1834886 Following publication, the Publisher identified concerns regarding the editorial handling of the Special Issue and the peer review process. An investigation by the Taylor & Francis Publishing Ethics & Integrity team in full cooperation with the Editors-in-Chief concluded that the articles included in this Special Issue were not peer-reviewed appropriately, in line with the Journal’s peer review standards and policy. As the stringency of the peer review process is core to the integrity of the publication process, the Editors-in-Chief and Publisher have decided to retract all of the articles within the above-named Special Issue. The Editors-in-Chief and the Publisher have not confirmed if the authors were aware of this compromised peer review process. The Journal is committed to correcting the scientific record and will fully cooperate with any institutional investigations into this matter. The authors have been informed of this decision. We have been informed in our decision-making by our editorial policies and the COPE guidelines. The retracted articles will remain online to maintain the scholarly record, but they will be digitally watermarked on each page as ‘Retracted’. © 2019 Informa UK Limited, trading as Taylor & Francis Group/Journal owner

Determinants of the functionality of cost accounting systems in social welfare organizations: Exploratory study using cluster analysis

This paper presents a quantitative exploration of the functionality of cost accounting systems and their determinants in social welfare organizations. We conducted a questionnaire survey of managers of social welfare organizations running special nursing homes for the elderly and conducted a cluster analysis based on the data collected. The questionnaire was created based on the scales used in previous studies, with some new scales developed. For data analysis, the statistical analysis environment R was used. The clValid package of R was used to assess the validity of the cluster analysis. Based on the results of the analysis in this paper, it is expected that social welfare organizations that pursue cost leadership strategies and have a strong public interest orientation will benefit greatly by being able to utilize a highly functional cost accounting system. Such organizations will be able to improve their business efficiency by utilizing cost information, and their social contribution activities based on the resulting resources will truly be a contribution to public welfare. The findings from this study are of practical significance because they can be used by business managers of social welfare organizations to review the functionality of their cost accounting systems. We also focus on the degree to which nonprofit organizations focus on social contribution activities (in this paper, we call this public interest orientation). The public interest orientation of an organization is thought to affect the functionality of the cost accounting system in the same way as the organization’s strategy, but there has not been enough quantitative research on this point. By focusing on the public interest orientation of social welfare organizations, this study contributes to deepening our knowledge in this area.

Stakeholders’ perspectives and performance outcomes of sustainable market-focused manufacturing system in Indian manufacturing organizations

Sustainability and the ever-changing customer demands are the key drivers for innovation across product, process, system, and supply chain management. Sustainability innovations aim to improve organizational environmental, social, and economic performance. Given the complexity of sustainability and ever-changing business and stakeholders’ requirements, organizations must focus their innovation in the direction of meeting the requirements of their stakeholders and business. Integrated sustainable green lean six sigma agile manufacturing system (ISGLSAMS) is a sustainable market-focused manufacturing system. It provides a sustainability and market-oriented business model and meets the perspectives of the various stakeholders. This study aims to identify and rank the various performance outcomes of ISGLSAMS. The study also explores the correlations among the various performance outcomes of ISGLSAMS. The study helps the practitioners to better understand the ISGLSAMS and stakeholders’ perspectives of ISGLSAMS. This research provides a foundation for practitioners, policymakers, organizations, and value chain partners (i) to formulate policies and roadmaps for the successful adoption of ISGLSAMS and (ii) for fostering a more sustainable development of manufacturing organizations in India.

Exploring the Integration of Chinese Music in Western Musicological Literature: Trends, Gaps, and Multicultural Perspectives

The purpose of the article is to analyse Western musicological literature to identify key trends and gaps in existing research on Chinese music as an integral part of the contemporary multicultural educational space. The research methodology is based on content analysis, comparative analysis, and bibliographic review. The primary method is content analysis, involving a systematic review of academic articles, monographs, reviews, and other publications on Chinese music in Western musicological literature. Comparative analysis is used to compare Western research on Chinese music with scholarly work from China and other countries. Bibliographic review helps to identify scientific gaps and trends in Chinese music research. The scientific novelty of the study lies in the comprehensive analysis of Western musicological literature on Chinese music to reveal key trends and gaps in existing research. The use of content analysis, comparative analysis, and bibliographic review allows for the first systematic organisation and comparison of approaches to studying Chinese music in different cultural contexts. The study also provides new insights into the role of Chinese music in the contemporary multicultural educational space, contributing to its integration and popularisation. Conclusions. Over the past three decades, publications on Chinese music within the context of multicultural music education have been irregular. Although the number of studies is not large, it shows moderate activity in the 1990s and early 2000s, with a noticeable increase after 2007 and periods of decline between 2010 and 2014. This indicates the need for further analysis of the reasons behind this dynamic and a deeper exploration of the integration of Chinese music into the Western educational context. The literature review shows that research covers a broad range of educational contexts, from early childhood to higher education and teacher professional development, indicating the potential for integrating Chinese music at various levels of formal education. The review also reveals that research on Chinese music often has a Eurocentric approach, evaluating it through the lens of Western music theory. This limits the full understanding and integration of Chinese musical traditions, highlighting the need for a deeper and more comprehensive approach that would foster an understanding of Chinese music in its own context.

Exploring the predictor of teaching quality using the job demands-resources model

Introduction. Maintaining teaching quality in higher education in Indonesia is challenging due to the significant job demands placed on lecturers, who are expected to fulfill multiple roles as educators, researchers, and mentors.Aim. The present research aimed to explore the potential of using the job demands-resources (JD-R) model to evaluate the quality of teaching in higher education.Methodology and research methods. This study employs structural equation modelling (SEM) using SmartPLS 3.0 software to analyse the research model based on a random sample of 285 lecturers from nineteen universities in Indonesia.Results. It has been established that role conflict among lecturers negatively impacts teaching quality, whereas self-efficacy positively influences it. The paper presents methods for utilising the JD-R model to examine factors related to the performance of higher education teachers.Scientific novelty. This study, utilising the capabilities of the JD-R model, identifies factors that influence teaching quality and presents mechanisms that underlie the relationship between role conflict and the level of self-efficacy in teaching performance among high school educators in Indonesia.Practical significance. The paper out-lines the opportunities available to university administrations and the Indonesian Ministry of Education, Culture, Research, and Technology for making critical management decisions related to teaching quality. This includes restructuring the educational process to reduce the burden on teachers and expanding the methods used to assess their performance. These goals can be accomplished through the development of innovative organisational support systems.

A generic framework for the semantic contextualization of indicators

Indicators are quantitative or qualitative measures used to gauge various aspects of society and assess change over time (such as monitoring the progress or effectiveness of a public policy). Ideally, indicators should be precisely defined and measured according to harmonized procedures that may not be feasible in practice, especially in domains such as health, where indicators are often derived from preexisting, heterogeneous datasets. Integrating such data has posed a persistent challenge, but semantic technologies offer advantages by enriching data in a relatively simple, linkable, and non-disruptive way. However, without harmonized frameworks, the difficulties associated with data integration are unlikely to be resolved. In this article, we propose a generic, domain-neutral indicator contextualization framework for structuring and linking distributed datasets with contextual metadata according to a standard model. The framework integrates the concepts of the International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 11179 metadata registry standard with the common core ontologies (CCO) mid-level ontology suite, and incorporates other semantic technologies to make it adaptable and interoperable within and across domains. Application of the framework to an example indicator illustrates the versatility and adaptability of the approach in a federated data architecture. The contextual information can be dereferenced using standard query tools to provide data users a comprehensive understanding and overview of the indicator. The framework is amenable to deep learning applications via the principles of semantic data models, linked open data, and knowledge organization systems. The ideas are presented to stimulate further reflection and consolidation of standard data contextualization frameworks.

Implementing national care guidelines in local authorities in England and Wales: a theory-of-change

BackgroundThe delivery of high-quality services in chronically underfunded social or long-term care systems is a major challenge internationally. National guidelines, developed by the National Institute for Health and Care Excellence, set out how local authorities in England and Wales should fund and provide care based on best available evidence. Theoretical and participatory approaches can usefully inform the design and evaluation of implementation strategies for guidelines. The aim of the study is to develop a Theory-of-Change for how the implementation of these guidelines is expected to lead to impacts from a local authority perspective.MethodsAs part of a comparative case study (The ‘Valuing Care Guidelines’ study; February 2022 to April 2024) with three local authority sites in England and Wales, we involved altogether 17 participants in two Theory-of-Change online workshops per site, each of 2 hours. Additional data gathered from the same participants as part of the overall study were used to conceptualise and enrich information from the workshops.ResultsParticipants described the Theory-of-Change map as follows: A wide range of activities (categorised in stages of ‘pre-implementation’, ‘implementation’, ‘sustainment and scaling’) and skills were required to implement guidelines, and achieve long-term organisational sustainability and service delivery outcomes, leading to final impacts for service users and carers. Participants described a co-creation implementation model, led by ‘Implementation Support Practitioners’, who utilised relational skills to achieve motivation, trust, and confidence at different organisational levels, addressing contextual barriers such as inadequate staffing, lack of resources and of organisational support systems. Consistent use of guidelines by frontline staff could only be achieved if the value of guideline implementation was promoted widely, and if consideration was given to the roles of stakeholders, such as the inspection body, local health care providers, users and carers.ConclusionsOur study is the first to investigate the implementation of national social care guidelines by local authorities in England and Wales. It generates insights that can guide implementation practice as well as inform the evaluation of future implementation strategies.

Modern information technologies for studying the cost of working time as an important tool for effective management of business processes

Relevance. In the context of economic, social and socio-political changes, growth and increased competition, it is becoming increasingly interesting to study the issues of scientific organization and labor rationing, as well as factors affecting labor productivity, and, ultimately, the effectiveness and profitability of production processes in general. There is an objective need to improve not only the methods of managing the cost of working time, but also to skillfully apply modern digital technologies. That is why it is so important to develop and modify, in accordance with the requirements of the market environment, methods, tools and methods of analysis using artificial intelligence (AI) when studying the cost of working time of employees of an organization.The purpose is based on the study of theoretical and methodological approaches to improving the system of organization and rationing of labor, to provide a scientific justification for the relevance of the development of the processes of accounting for working hours of employees of the organization through the integration of modern information technologies.Objectives: to analyze the existing approaches to the organization and rationing of labor; to identify the potential of integrating modern information technologies into the processes of working time accounting; to develop practical recommendations for improving the system of accounting for the working hours of employees of the organization using modern information technologies.Methodology. The theoretical and practical basis for the study of modern approaches to the modernization of the system of organization and rationing of labor at the enterprise were the methods of analyzing literary sources, statistical data, expert assessments, as well as using an integrated approach.Results. The result of the research in the work is a comprehensive analysis of the use of artificial intelligence (AI) in studying the cost of working time to modify the processes of rationing labor functions through the integration of information technologies.Conclusions. In the course of the study, we proved the positive effect of the introduction of modern information technology systems at the enterprise, as well as scientifically substantiated the relevance of the development of processes for analyzing the cost of working time and rationing employees of enterprises through the integration of modern information technologies.

Maximising Synergy: The Benefits of a Joint Implementation of Knowledge Management and Artificial Intelligence System Standards

Implementing management systems in organisations of all types and sizes often raises the following question: “What benefits will this bring?” Initial resistance and criticism are common as potential challenges are identified during the implementation process. To address this, it is essential to highlight the advantages of these systems and engage stakeholders in supporting management efforts. While the planning, implementation, use, maintenance, auditing, and improvement of management systems are generally voluntary, certification is frequently driven by external factors, particularly customer demands. Employees also stand to gain significantly, with knowledge and information serving as valuable resources, especially for leveraging artificial intelligence. This article explores the management’s readiness to adopt and fully utilise two management systems based on international standards: the ISO 30401 Knowledge management system (KMS) and the ISO/IEC 42001 Artificial intelligence management system (AIMS). Through interviews, we assess the challenges and solutions associated with implementing these systems, whether planned or partially adopted. The findings illustrate the synergistic benefits of integrating the KMS and AIMS, demonstrating how their combined use can enhance Integrated Management Systems (IMSs). Such integration supports comprehensive planning, operation, and performance evaluation of processes and services while also promoting continuous improvement.

MAIN DIRECTIONS OF BANK LOANS IN CREDIT MARKET

Financial analysis in credit market and commercial banks, which have been an important factor of economy and human life and activity currently, study of financial-economic results of activity of a bank, determination of main directions of development of the bank and main factors of financial business processes, determination of purpose-oriented special knowledge and growth rates, etc. Different economic sources, internet materials have been applied as a theoretical and methodological basis. As systematization of loans in bank lending system is a theme of the research, methods such as analysis, induction and deduction have been used. Main scientific innovation that has been put forward: In this field, one of the most important issues is, certainly, organization of organization system of information issues, which have the most significant role in determining and implementation of successful demand and supply of bank loans in credit market and main directions of bank loans in credit market. Results of the research: Finding perspective improvement ways of commercial banks Development of credit system, directly improved by banks, significantly positively effects progress of country economy Information tools and technology play the most important role in improving credit market now.

A multi-theoretical approach to supply chain management

The article examines the supply chain as a modeling object. The multi-criteria and contradictory goals in supply chain management are: on the one hand, the maximum level of service, on the other hand, minimizing logistics costs. Solving strategic optimization problems for this class of objects using classical optimization methods is difficult. The theoretical and methodological basis of the supply chain was considered from the perspective of a set-theoretic approach. The purpose of the study is to analyze the behavior of many different agents (suppliers, clients, etc.) with different needs and goals when making decisions. An agent is an active element of the system, possessing a certain autonomy and the ability to make independent decisions, relying on the information it has about the state of the environment and the actions of other agents. In turn, supply chains are a complex organizational (active) system, i.e. associated with human participation. The study of behavioral aspects and interorganizational interaction, the formation of new organizational forms are an extremely important aspect in the management and modeling of supply chains, a factor in the dynamic behavior of the logistics system. The conducted research represents an important contribution to the development of knowledge about the application of the set-theoretic approach in supply chain management. It demonstrates the applicability of this approach in practice through an analysis of a specific company, LLP «Knauf», on the Kazakhstan market.

Advancing meat safety diverse approaches for bovine tuberculosis detection and control in abattoirs

Bovine tuberculosis (BTB) still represents a significant public health concern and economic issue for livestock breeders in Egypt. This research investigates the incidence of bovine tuberculosis in cattle slaughtered at the central abattoir in Aswan, Egypt, in 2023. A total of 720 cattle were checked antemortem and postmortem at the abattoir. The suspected lesions were analyzed with acid-fast staining, microscopy, histology, ELISA, and RT-PCR. Based on gross tubercle lesions, the overall occurrence of bovine tuberculosis in cattle slaughtered at Aswan abattoirs was 3.2% (23/720), with thoracic lymph nodes and lungs exhibiting the highest frequency of tubercle lesions compared to other organs. According to employed diagnostic tests, the prevalence of tuberculosis was estimated as 68.6, 61, 56.5, and 78.3% for microscopy, histopathology, ELISA, and RT-PCR, respectively. These findings highlight the incidence of bovine tuberculosis and the dissemination of tuberculous lesions among cattle slaughtered at Aswan abattoirs. Furthermore, such prevalence emphasizes the urgent need for a practical disease control approach and an organized surveillance system in the cattle population. One Health strategy is strongly advised to mitigate the zoonotic transmission to people and economic losses in the cattle industry.

Studying infrasound propagation in the middle atmosphere with ICON and UA-ICON: comparison with the IFS and ground-based remote sensing

Infrasound signals are used to monitor various anthropogenic and natural sources. In particular, infrasound is one of the four verification technologies used by the International Monitoring System (IMS) of the Comprehensive Test-Ban Treaty organisation (CTBTO). To determine accurate source locations and energies, an accurate model of wind and temperature up to the lower thermosphere is necessary, hence operational NWP products are of great importance for routine infrasound monitoring activities. However, many of these models focus on tropospheric conditions, and the middle atmosphere (MA) is not well represented. UA-ICON is an upper atmosphere version of the ICON model that provides modelled atmospheric parameters up to 150 km. First, to assess ICON and IFS operational analysis products, comparisons to lidar observations are made. The main differences between both products were analysed with respect to winds and temperatures in the MA. Second, UA-ICON simulations outputs were compared to ICON and IFS fields to demonstrate the increased wave activity above ~30 km with UA-ICON. The added value of UA-ICON with respect to ICON and IFS for infrasound propagation simulations is discussed. The comparisons between the instrumental observations and the models will be presented, as well as comparisons between modelled and measured infrasound propagation.

Book cluster: a new approach to explore the evolution of knowledge organization in ancient China

Abstract Chinese ancient book catalogs have persisted for over two millennia, serving as ancient knowledge organization systems and cultural heritage of great academic value. This article introduces the concept of “book cluster,” a novel approach to studying catalog classification evolution, offering a meso-level perspective that bridges books and categories. Drawing from computational methods, we identify clusters of books with similar categorization trajectories, enabling more efficient and intuitive exploration of knowledge organization trends. We review existing research on catalog classification, highlighting the traditional qualitative analysis and emerging computational methods. We then present our data source and processing methods. The concept of book cluster is defined, along with the algorithm for cluster identification and feature extraction. A case study demonstrates the potential of the book cluster concept in analyzing classification changes and knowledge inheritance. Additionally, we introduce an online analytical platform for further exploration. Through computational analysis of book clusters, we gain insights into the evolution of ancient book recording, circulation, and academic contexts. Book clusters offer clues about the content of lost books. This research lays the groundwork for future iterations. By pioneering the study of knowledge organization evolution using book clusters, we enhance our understanding of Chinese history's academic culture and knowledge preservation.

Разработка подхода к интегрированному планированию в цепочках поставок приборостроительной отрасли

Purpose: the article proposes an approach to integrated planning in supply chains of the instrument-making industry, aimed at improving the efficiency of coordination between their main participants. Methods: the study used methods of system analysis, statistical analysis and expert assessments, which made it possible to evaluate current approaches to planning and propose an approach to integrated planning based on modern digital technologies used in the performance of the planning function. To obtain the results of the study, official statistical data on the productivity and economic indicators of the instrument-making industry, data on logistics operations and supply chains of various enterprises in the industry were used. Results: the main scientific result is the approach to the development of integrated planning in supply chains developed by the author. The study also provided practical recommendations on the use of management methods at different stages of the formation of an integrated planning system. Practical significance: the practical significance of the study lies in the possibility of applying the proposed recommendations at enterprises of the instrument-making industry to improve the efficiency of supply chain management. The implementation of the developed methods will allow enterprises to adapt to dynamic market conditions, reduce costs and improve coordination of the actions of private logistics chain participants. The results of the study can be used to develop and improve planning systems in organizations in the instrument-making industry.

Experience of integrating lean technologies into the quality management system of a medical organization providing primary medical and sanitary care

Objective. To evaluate the effectiveness of implementation of lean production methods into the practical activity of primary health care on the example of the State Institution of Health Care «Saratov City Polycli nic № 2». Materials and methods. The study was divided into three stages: data collection through anonymous sociological surveys using phones or tablets, timing and improvement of the process, and a follow-up questioning of participants to assess their satisfaction. 296 residents of Saratov receiving primary health care at the polyclinic took part in the survey. The survey was conducted using a specially developed electronic questionnaire via Google Form. For mathematical processing, the results of the study were initially transferred into an electronic database; the results of the study were analyzed using the descriptive statistics method. Results. According to the survey, the majority of respondents are satisfied with the quality of outpatient medical care. This shows that organization of the medical care is focused on the patients` needs and desire to meet their demands. The organization of the front office and the premises of the polyclinic in accordance with the requirements for the new model of the organization providing primary medical care made it possible to achieve a high evaluation of the information stands and the waiting area. The study showed that ineffective organization of the registry office contributed significantly to the patients` low assessment. In our opinion, in order to solve the problem, it is necessary to optimize the work of the registry office by introducing modern technologies and equal distribution of duties among the employees. Conclusions. In order to improve the quality and accessibility of medical services, it is necessary to make certain changes in the organization of medical care. The level of patient satisfaction with the work of medical institutions may depend on various factors, such as waiting time for a doctor, the timing of medical services provision after the appointment, the availability of necessary diagnostic tests and specialists.