Efficient Organization Research Articles

Experimental and Numerical Investigation of Airflow Organization in Modular Data Centres Utilizing Floor Grid Air Supply

Under the background of “dual carbon” development goals, the rapid expansion of internet data centers driven by advancements in 5G technology has led to increased energy consumption and elevated heat densities within the server rooms in these facilities. In this study, the modular data center is taken as the research object for the purpose of figuring out a way to improve the thermal environment of the computer room, reduce power consumption, and ensure the safe and stable running of servers. To this end, this study established an airflow organization model for the modular data center and verified this model through experimental methods. Computational Fluid Dynamics (CFD) simulations were employed to investigate the effects of raised floor height, floor opening rate, and cold/hot air channel closure on airflow organization. Furthermore, the efficiency of airflow organization was evaluated using entransy loss metrics. The results show that optimal airflow conditions are achieved when the height of the raised floor is 600–800 mm, the opening rate is 40%, and the combined opening is 40%. Additionally, the closure of either the cold channel or both the cold and hot channels significantly improves airflow performance. Specifically, cold channel closure is recommended for new data centers with underfloor air supply systems, while combined cold and hot channel closure is suitable for data centers with high power density and extended air supply distances.

Relationship between investment in fixed capital and economic efficiency in the agrarian sector of Belarus

The relationship between investments in fixed capital and the efficiency of agricultural organizations in Belarus in 2013–2022 is analysed by groups of commodity producers depending on profitability and by administrative regions. The optimal share of own funds in the structure of investment sources is substantiated.

Adoption of Business Intelligence Among Iraqi SMEs Culture: Impact of Technology Acceptance Model, Information Quality, And Organizational Readiness

Effective use of business intelligence has become essential for small and medium-sized organizations (SMEs) in the era of digitalization due to the introduction of new technologies. Therefore, this study aims to measure the influence of the Technology Acceptance Model (TAM) and other factors, for example, the quality of information, organization readiness and technology infrastructure, on business intelligence. A quantitative research methodology was used, with a sample size of 281 participants who were owners, managers and information system staff in Iraqi SMEs who had experience using business intelligence. The findings of this study indicated that the quality of information has a significant impact on perceived usefulness (PU) and perceived ease of use (PEOU). Similarly, PU, PEOU, organization readiness and technology infrastructure positively and significantly impact business intelligence adoption. This study offers a comprehensive analysis of the crucial aspects that contribute to the successful deployment of business intelligence, thereby influencing the outcomes of SMEs. The results of this study will help entrepreneurs, SME owners managers, and academics develop a business intelligence system that can enhance overall organizational efficiency in a dynamic economic setting. Putting in place a good business intelligence system will help managers make better decisions, boost economic growth for businesses, support new ideas in businesses, and improve their overall performance and output.

Exploring Social Networks: An Analysis of Intra-organizational Networks

This research investigates intra-organizational social networks by employing network science methods, aiming to provide actionable insights for both managers and employees. Using datasets from the Colorado Index of Complex Networks (ICON), this study examines four intra-organizational networks from a consulting firm and a research team, focusing on advice requests and skill awareness. The analysis includes network topology, degree distribution, community detection, correlation between communities and node attributes, maximal clique detection, and multilayer network analysis. The findings reveal that intra-organizational networks are intricate and significantly impact organizational efficiency and individual career development. Key insights include the importance of mid-level employees in network connectivity, the existence of "bad edges" where advice is sought from less competent peers, and the influence of regional and locational factors on communication patterns. The study emphasizes the need to enhance knowledge sharing and inter-region communications. For employees, understanding the structure of these networks can guide them to more effectively leverage their social connections for career advancement. This interdisciplinary effort bridges gaps in the existing literature and showcases the potential of integrating network science methods into social science research.

The Application of Artificial Intelligence on Business operations and Accounting Practices and its Impact on Overall Organizational Efficiencies: A Review Work

This Paper shows the relationship between Artificial Intelligence and Accounting practices and practitioners by creating a crucial analysis of previous literature related to the study. This paper emphasizes on the impacts of AI on different accounting determination and to the different methods of accounting. As the introduction of AI different companies reshaping their financial decision-making process significantly. This specific study explores the different new ideas through which the business firm can also develop their position now and then. The study reviews the different articles, case studies, Annual Reports of the company. The findings significantly enhance the speed and accuracy of the company to all round’s activities and also enhances the activities of Business 4.0 and 5.0. The stakeholders of the company also be benefited significantly to take quick and accurate decisions by reviewing AI driven financial reports. However, it comprises of some amount of barrier in this process where the study mainly emphasizes on all those areas for efficient operation of business firm through the adoption of AI.

Navigating Mergers and Demergers in the Technology Sector: A Guide to Managing Change and Integration

In the dynamic landscape of the technology sector, mergers and demergers have become pivotal events that significantly impact organizational structures, strategic directions, and operational efficiencies. This guide delves into the intricacies of navigating these complex transitions, focusing on managing change and ensuring effective integration. The technology sector's rapid evolution necessitates a nuanced understanding of how mergers and demergers can be strategically orchestrated to achieve desired outcomes while mitigating potential risks.The process of merging or demerging involves numerous challenges, including cultural integration, alignment of business processes, and harmonization of technological systems. Successful management of these transitions requires a comprehensive strategy that encompasses clear communication, meticulous planning, and robust execution. This guide outlines key strategies for managing change during these transformative periods, emphasizing the importance of leadership, stakeholder engagement, and the adoption of best practices.

Navigating Mergers and Demergers in the Technology Sector: A Guide to Managing Change and Integration

In the dynamic landscape of the technology sector, mergers and demergers have become pivotal events that significantly impact organizational structures, strategic directions, and operational efficiencies. This guide delves into the intricacies of navigating these complex transitions, focusing on managing change and ensuring effective integration. The technology sector's rapid evolution necessitates a nuanced understanding of how mergers and demergers can be strategically orchestrated to achieve desired outcomes while mitigating potential risks. The process of merging or demerging involves numerous challenges, including cultural integration, alignment of business processes, and harmonization of technological systems. Successful management of these transitions requires a comprehensive strategy that encompasses clear communication, meticulous planning, and robust execution. This guide outlines key strategies for managing change during these transformative periods, emphasizing the importance of leadership, stakeholder engagement, and the adoption of best practices.

Workload balancing for the nurse scheduling problem: A real-world case study from a French hospital

To improve the efficiency and viability of healthcare organizations, it is crucial to enhance both the quality of patient care and the well-being of healthcare staff, particularly nurses. They play a vital role as a key human resource in healthcare, and their well-being and job satisfaction are significantly influenced by effective scheduling. Improved scheduling practices not only enhance the quality of care provided but also contribute to better job satisfaction and overall well-being of the nursing staff. Despite the importance of this task, nurse scheduling is often conducted manually by head nurses, which is both challenging and time-consuming. This study proposes a mathematical model that addresses the nurse scheduling problem, with a specific application in a French hospital department. The objectives of the model are to accommodate a wide range of constraints flexibly, ensure balanced workloads and shifts, and align with the preferences of the nursing staff. A significant contribution of this research is the theoretical investigation and comparison of various workload balancing criteria tailored to the specific context of the problem. The study analyzes different workload balancing criteria to formulate an efficient scheduling solution. The effectiveness of the proposed approach is demonstrated through large experiments and practice feedback, confirming its potential to enhance both healthcare efficiency and nurses’ well-being.

БЕРЕЖЛИВЫЕ ТЕХНОЛОГИИ В СИСТЕМЕ УПРАВЛЕНИЯ КАК ИНСТРУМЕНТ ПОВЫШЕНИЯ ЭФФЕКТИВНОСТИ ХОЗЯЙСТВЕННОЙ ДЕЯТЕЛЬНОСТИ МЕДИЦИНСКИХ ОРГАНИЗАЦИЙ

The solution of efficiency improvement issues is relevant for all types of organizations. The article reveals the features of the category "efficiency" in relation to the essence of the activi-ties of medical organizations, which includes the concepts of not only economic, but also so-cial effect, which significantly expands the boundaries of the economic benefits received. The article discusses the main reasons for the importance of solving the problems of improving the efficiency of organizations in the medical field, namely, regulatory and market. It is proved that the main tool to improve the efficiency of the economic activities of medical insti-tutions are management systems involving the use of lean manufacturing technologies. These technologies make it possible to identify resource losses, at the same time, positively solve the problems of improving the quality of medical services. The author focuses on the fact that in the case of the use of lean technologies, the management system should be formed taking into account the complexity of the nature of medical institutions as an object of management.

Handling Encryption and Data Loss prevention in the Cloud-Based Systems

The current study focused on assessing the handling encryption and data loss prevention in the cloud. Cloud-based systems also known as cloud computing, increase organisational efficiency for proper data management processes. Cloud-based data loss or leakage prevention (DLP) improve data visualisation; hence, the companies can understand the risks and issues through proper data management. This study highlighted the way handling encryption and data loss prevention in the cloud can be useful for the development of business processes and for managing all operations through proper data management. IoT-based and AI-based cloud computing assess root causes and provide a clear insight into business problems. Hence, they can improve their data loss risk management services and promote continuous improvement.

THE ROLE OF QUALITY MANAGEMENT IN INCREASING ORGANIZATIONAL EFFECTIVENESS IN THE CONTEXT OF UNIVERSITIES

In the face of rapid change and increasing complexity in higher education, quality management (QM) is emerging as a useful tool for universities to adapt and optimize their processes. This paper emphasizes the importance of implementing effective QM systems in academic institutions, highlighting their significant impact on organizational effectiveness. The research aims to investigate how QM implementation can enhance efficiency within universities. It achieves this by analyzing current QM practices, identifying areas needing improvement, and proposing specific solutions. The study reveals a diverse range of QM approaches across institutions, reflecting their unique structures and processes. While many universities have initiated QM systems, the success and coverage of these initiatives vary. Key areas identified for potential improvement include decision-making transparency, interdepartmental communication, and the integration of student feedback. The research also highlights gaps, such as the lack of systematic QM implementation, unclear performance indicators, and difficulties adapting to rapid changes in higher education. The overarching message of this paper is that a well-implemented QM system can be a strategic asset for universities, supporting both academic and administrative processes. QM implementation has been shown to increase organizational efficiency, leading to improved academic processes, reduced administrative costs, and increased satisfaction among students and staff. The research findings underscore the need for continued investment and commitment to QM in higher education. By embracing QM principles and practices, universities can enhance their overall performance, adapt to evolving challenges, and provide a higher-quality educational experience. This research not only contributes to the existing knowledge base on QM in higher education but also provides practical recommendations for institutions seeking to improve their organizational effectiveness.

Innovative methods for integrating translation memory and CAT tools: Enhancing intelligent support in human translation processes

This paper explores the innovative integration of Translation Memory (TM) and Computer-Assisted Translation (CAT) tools to enhance translation efficiency, consistency, and quality in multinational organizations. By adopting a user-centric interface design, modular system architecture, and cloud-based deployment, the integrated system addresses diverse translation needs while ensuring data security and privacy. Key features include real-time translation suggestions powered by machine learning algorithms, seamless access to TM databases, and real-time collaboration tools. The paper discusses implementation strategies, challenges, and solutions, highlighting the importance of user training and continuous improvement. A case study demonstrates significant improvements in translation speed, accuracy, and user satisfaction, underscoring the potential of advanced translation technologies to transform translation workflows. The findings provide valuable insights into best practices for successful implementation and optimization of TM and CAT tools in complex, large-scale environments.

Guest editorial: “Integration of Lean Six Sigma with industry 4.0 to augment organizational efficiency and effectiveness”

Guest editorial: “Integration of Lean Six Sigma with industry 4.0 to augment organizational efficiency and effectiveness”

Paramedics’ experiences and observations: work-related emotions and well-being resources during the initial months of the COVID-19 pandemic—a qualitative study

BackgroundAs first responders, paramedics are an extremely important part of the care chain. COVID-19 significantly impacted their working circumstances. We examined, according to the experiences and observations of paramedics, (1) what kinds of emotions the Emergency Medical Service (EMS) personnel experienced in their new working circumstances, and (2) what work-related factors became resources for the well-being of EMS personnel during the initial months of the COVID-19 pandemic.MethodsThis qualitative study utilized reflective essay material written by experienced, advanced-level Finnish paramedics (n = 30). The essays used in this study were written during the fall of 2020 and reflected the period when Finland had declared a state of emergency (on 17.3.2020) and the Emergency Powers Act was implemented. The data was analyzed using an inductive thematic analysis.ResultsThe emotions experienced by the EMS personnel in their new working circumstances formed three themes: (1) New concerns arose that were constantly present; (2) Surviving without proper guidance; and (3) Rapidly approaching breaking point. Three themes were formed from work-related factors that were identified as resources for the well-being of the EMS personnel. These were: (1) A high level of organizational efficiency was achieved; (2) Adaptable EMS operations; and (3) Encouraging atmosphere.ConclusionsCrisis management practices should be more attentive to personnel needs, ensuring that managerial and psychological support is readily available in crisis situations. Preparedness that ensures effective organizational adaptation also supports personnel well-being during sudden changes in working circumstances.

O IMPACTO DA ABORDAGEM MULTIDISCIPLINAR NA CIRURGIA DE URGÊNCIA E EMERGÊNCIA: UMA REVISÃO INTEGRATIVA

This article provides an integrative review of the impact of multidisciplinary approaches in emergency and urgent surgery. Through a critical analysis of existing literature, the study explores how the integration of various medical specialties and support roles contributes to improved clinical outcomes and organizational efficiency in emergency situations. The review highlights the evolution of surgical techniques, including the use of robotic surgery, and the importance of close collaboration between surgeons, anesthesiologists, nurses, and technicians. Additionally, the article discusses how multidisciplinary approaches influence preoperative management and postoperative complications, offering a comprehensive view of the current clinical practice’s challenges and opportunities. Finally, it reflects on the future of emergency surgery, emphasizing the ongoing need for innovation and training to address future challenges.

Internal Control Unit Strategy in Implementing Internal Control

This study aims to describe the implementation of the Government Internal Control System (SPIP) at Dr. Radjiman Wediodiningrat Mental Hospital, Lawang, Malang and to develop a strategic plan from the Internal Audit Unit (SPI) in conducting supervision of the Mental Hospital. This research is qualitative research. The informants are the Head of SPI and other respondents. In formulating alternative strategies, SWOT analysis is used with the IFAS and EFAS approach methods. The results showed that SPI is in quadrant I (supporting growth strategy), which has strong internal strengths to grow in seizing existing opportunities. The resulting strategy is to improve internal control in the RSJ through the formation of the SPIP Task Force in organizing internal control in the hospital, increasing the knowledge and understanding of the heads of work units, on all matters relating to inherent supervision within the scope of their work units and utilizing information technology by creating a Supervisory Information System application to support supervisory performance, especially in terms of organizing SPIP in the hospital. The implications of this research are significant for enhancing internal control systems and strategic planning within healthcare institutions. By identifying SPI's current position and proposing targeted strategies, this study provides actionable recommendations for improving internal oversight and control mechanisms. The formation of a dedicated SPIP Task Force and the development of a Supervisory Information System application are expected to strengthen internal controls, streamline supervision processes, and enhance overall organizational efficiency.

A Hybrid Parallel Computing Architecture Based on CNN and Transformer for Music Genre Classification

Music genre classification (MGC) is the basis for the efficient organization, retrieval, and recommendation of music resources, so it has important research value. Convolutional neural networks (CNNs) have been widely used in MGC and achieved excellent results. However, CNNs cannot model global features well due to the influence of the local receptive field; these global features are crucial for classifying music signals with temporal properties. Transformers can capture long-range dependencies within an image thanks to adopting the self-attention mechanism. Nevertheless, there are still performance and computational cost gaps between Transformers and existing CNNs. In this paper, we propose a hybrid architecture (CNN-TE) based on CNN and Transformer encoder for MGC. Specifically, we convert the audio signals into mel spectrograms and feed them into a hybrid model for training. Our model employs a CNN to initially capture low-level and localized features from the spectrogram. Subsequently, these features are processed by a Transformer encoder, which models them globally to extract high-level and abstract semantic information. This refined information is then classified using a multi-layer perceptron. Our experiments demonstrate that this approach surpasses many existing CNN architectures when tested on the GTZAN and FMA datasets. Notably, it achieves these results with fewer parameters and a faster inference speed.

Possibilities for increasing labour productivity by implementing innovative activities in the repair and service sector of animal husbandry

At present, the Russian Federation and the Republic of Belarus are signifi cantly behind the developed countries in terms of labor productivity and the share of domestic companies implementing technological innovations in the main sectors of the economy (especially in agriculture). One of the signifi cant factors of this lag is the underestimation in past years of the promising potential of various innovative technologies and, as a consequence the very limited and slow implementation of breakthrough innovations in the most significant sectors of the domestic economy. The decisive turn of the state economic policy of neighboring states in the area of deep technological transformation of all sectors of the economy is aimed at an innovative breakthrough and reaching advanced growth rates in the technological and economic development of fraternal countries. However, along with the introduction of the latest technologies the creation of completely new modern high-tech industries, which will require colossal financial investments, the task of comprehensively and thoroughly exploring internal production reserves, searching for new forms and methods of improving the efficiency of labour organization at existing enterprises, which will also bring a noticeable economic effect, remains relevant. This article describes in sufficient detail practical activities to improve and streamline accounting, planning, certifi cation, rationalization of workplaces of animal husbandry technical service organizations under the current conditions of the developing market. The results of the studies show that certification and rationalization of workplaces are effective tools in fi nding internal production reserves to improve the use of labour resources, fixed production assets, promotes the replacement of obsolete equipment, improves the relationship between workplaces, improves working conditions, and optimally balances the need for labour with the number of existing workplaces. This will significantly increase the overall efficiency of activities and competitiveness of service enterprises in the field of animal husbandry.

Implementing Employee Competencies for Geographic Information System (GIS) Website Digitalization

The rapid advancement of technology has become integral to all aspects of modern life. This research examines the relationship between employee competency and the use of a digitalized GIS website for managing customer data, focusing on employees at PDAM Surabaya City. The study involved 100 participants and employed a quantitative descriptive approach, utilizing data collection techniques such as observation, interviews, and surveys through questionnaires. Findings reveal that while employees generally believe their education and technological skills are well-suited to their job roles and support their performance, there are notable issues with the GIS website's reliability and error management. The high consensus on the need for improvements highlights the importance of ongoing maintenance and user support. Statistical analysis confirms that employee competencies significantly impact the effective use of the GIS website, underscoring the importance of skill development in optimizing digital tool utilization and enhancing organizational efficiency. The research implies that improving employee competencies and addressing technical issues with the GIS website are essential for enhancing its utilization and overall organizational performance

Determination Of Factors That Can Improve Employee Performance

Organizational Citizenship Behavior and Organizational Commitment are critical factors in improving employee performance and overall organizational effectiveness. OCB refers to voluntary, extra-role behaviors that contribute to organizational efficiency and social environment, while Organizational Commitment reflects the psychological attachment and loyalty of employees to their organization. This research focuses on the interplay between these variables and their combined effect on employee performance. This study aims to evaluate the effects of organizational commitment and organizational citizenship behavior (OCB) on worker performance. Associative research was the methodology employed in this study. The 108 employees or former employees of PT PG Rajawali II make up the study's population. Multiple linear regression was used by the analytical tool. The results showed that organizational commitment and organizational citizenship behavior (OCB) have an impact on worker performance at PT PG Rajawali II. Multiple linear regressin result is Y= 1.239 + 0.235 X1 + 0.71 X2 Employee performance can be enhanced for the benefit of the company and the individual by staff members who possess OCB and organizational commitment. To boost staff performance, PT PG Rajawali II should uphold and enhance the standard of corporate commitment and citizenship conduct.