Management Technology Research Articles

Digital Transformation for Cultural Sustainability: The Bolshoi Theatre Experience

This paper studies the Bolshoi Theatre's digital transformation in cultural sustainability, focusing on innovation management and technology utilization, explores the critical need for cultural institutions to overcome hurdles and capitalize on opportunities provided by modern technologies, investigates the Bolshoi Theatres strategic ways of managing its digital transformation while preserving and improving its cultural history, its historical relevance and its digital projects, to reveal managerial obstacles, opportunities, and deep influences on both internal techniques and audience reviews. Key findings highlight the transformative significance of innovation management in changing market involvement via virtual performances, virtual reality reviews, and augmented reality programs. The study also emphasizes the need for knowing usage, as indicated by creating a centralized digital archive and combining device learning algorithms for customized target market interactions. This research contributes insights into managing cultural institutions in the digital age, with broader implications for strategic use of digital technology in cultural management.

Water Leak Detection: A Comprehensive Review of Methods, Challenges, and Future Directions

This paper provides a comprehensive review of the methods and techniques developed for detecting leaks in water distribution systems, with a focus on highlighting their strengths, weaknesses, and areas for future research. Given the substantial economic, social, and environmental impacts of undetected leaks, timely detection and precise location of leaks are critical concerns for water authorities. This review categorizes existing methods into traditional approaches, such as manual sounding, and modern techniques involving smart water management and sensor technologies. A multidimensional bibliometric analysis was employed to systematically identify, select, and evaluate 600 scholarly articles on water leak detection, sourced from the Scopus database over a 23-year period (2000–2023). The paper evaluates each method based on leak sensitivity, burst detection, continuous monitoring, alarm accuracy, and implementation costs. Novel insights include an analysis of emerging smart water technologies and their integration into real-world water distribution networks, offering improved efficiency in leak detection. The paper also identifies key gaps in current research and suggests future directions for advancing the accuracy and cost-effectiveness of these technologies.

Project Time Management and Performance of Kenya Towns Water Supply and Sanitation Programme at Central Rift Water Works Development Agency.

The general objective of the study was to examine the influence of Project time management on the performance of Kenya Towns Water Supply and Sanitation Projects at Central Rift Water Works Development Agency specifically the study. The study was anchored by pickle jar theory, theory of constraints, theory of effective project implementation and communication theory. A descriptive survey design was used in this research. The study targeted project managers, consultants, coordinators, engineers, contractors, community representatives, and representatives from the Ministry of Water and Irrigation in three projects under the Kenya Towns Water Supply and Sanitation Programme, carried out by the Central Rift Valley Water Works Development Agency. The counties involved are Narok and Nyandarua. A sample size of 83 respondents was used. The participants in the study were chosen using a simple random selection method. Data was collected using a questionnaire and interview schedule. The analysis was both qualitative and quantitative. Quantitative data collected was analysed using Statistical Package for Social Sciences version 25. The study analysed both descriptive and inferential statistics. Thematic analysis was used to analyse qualitative data collected from the interview schedule. The analysis revealed a Pearson correlation of (r=0.512, p<0.05). This indicated a moderate positive and significant relationship between project time planning and the performance of Kenya Towns Water Supply and Sanitation Projects. The also showed a Pearson correlation of (r= 0.553 p<0.005) which indicates a positive and significant relationship, suggesting that effective prioritization of time-related tasks plays a crucial role in enhancing project performance. Additionally, the correlation analysis for time tracking yielded a Pearson correlation of (r=0.390 p<0.005). This suggests a moderate positive and statistically significant relationship between time tracking and project performance. Lastly, the study revealed the impact of project team communication on performance, finding a Pearson correlation of (r= 0.672 p<0.005). This indicated a strong positive and significant relationship, suggesting that effective communication among project teams significantly enhances performance outcomes. The findings indicated that 45.1% of the variation in the performance of the project could be explained by the independent variables studied, while 54.9% of the variation is attributed to other factors not covered in this study. The study concluded that project time planning, time prioritization, time tracking, and project team communication had an effect performance of Kenya Towns Water Supply and Sanitation Projects at Central Rift Water Works. The study recommends implementing structured time planning methods, enhancing time tracking, and fostering effective communication within teams to improve project performance. Future research should explore stakeholder engagement and the role of emerging technologies in water project management

Visualising human life in volumetric cities: City digital twins and other disasters

City digital twins (CDTs) are attracting considerable attention as a tool for the management of cities facing many kinds of crises. CDTs are three-dimensional, animated digital models of cities that display the big data generated by urban sensors in near-real-time. Most of the academic literature on CDTs consists of technical discussions of their design or implementation. This paper instead proposes a different context for understanding CDTs. It adopts an intersectional feminist and techno-cultural analysis of the visual form of power enacted by CDTs, as exemplary of a much wider turn in contemporary visual culture towards visualising the world digitally in three dimensions. Many critical accounts of this visual and volumetric regime are attentive to the forms of corporealised human life that emerge in relation to the picturing of various volumes. This paper examines how CDTs visibly co-constitute a number of digitally-mediated forms of human life, including its user and its human inhabitants. The paper argues that, while both the technological affordances and the cultural imaginary of CDTs perform the kind of powerful white masculinity that sees space as transparent and actionable, discussions of CDTs also persistently generate an excessive form of human life that is understood as untwinnable. The paper argues that masculinist anxieties around this excess erupt in another form of digitally-animated volumetric city facing disaster: the disaster movie. The paper thus makes an argument about the specific form of white masculinity co-constituted with CDTs and insists on the necessity of critical techno-cultural analyses of urban management technologies.

The Role of Digital Technologies in Climate Change Management: Strategies for Minimizing the Environmental Impact of USA Companies

The article examines the role of digital technologies in climate change management and reducing the environmental impact of U.S. companies. Innovations such as artificial intelligence, the Internet of Things, and big data are analyzed for their ability to help companies minimize CO2 emissions, optimize resource use, and improve energy efficiency. Challenges companies face when implementing digital solutions: high initial costs, integration difficulties, and regulatory complexities, are discussed. Strategies for overcoming these barriers to achieve sustainable development are proposed.

A Review on Nanotechnological Approaches for the Management of Stored Insect-Pests: Present Scenario and Future Prospects

Approximately 10% to 30% of the stored agricultural produce is damaged out of which 26% is due to insect-pest infestation thus seriously impacting the food security. The infestation also leads to loss of quality and thereby affecting the overall profitability. In absence of enough storage space, usually farmers dispose-off their produce immediately after harvest and thus do not get remunerative prices. For those opting for storage, physical and chemical methods are in vogue to manage the storage insect-pests. Fumigation with chemical pesticides such as methyl bromide and aluminium phosphide is a common method, though it has its own health and environmental risks. Inhalation of phosphine gas released when aluminium phosphide is used could seriously affect human animal health, sometimes leading to deaths. Thus for using these fumigants, strict supervision of government recognized experts is required. Due to their wide usage, some insect-pests have developed resistance against these molecules. Nanotechnology has created numerous new opportunities in agriculture and allied sectors. Insecticide formulations based on nanotechnology could be a viable alternative to toxic chemicals like aluminium phosphide to manage storage insect-pests. In recent years, a variety of formulations including solid nanopesticides, controlled-release formulations, nano-emulsions, and nano-suspensions have been developed possessing different modes of actions and applications. Their small size is a significant advantage because it provides higher insect-body surface area coverage and thus enhanced efficacy as compared to traditional pesticides. Aside from their small size, they are reported to be safe for non-target beneficial organisms. Nano-pesticides can thus prove as effective and eco-friendly alternatives for insect pest control in storage. However, there is a need to establish their safety on the human and animal ecosystems to rule out their ecological hazards over time. In absence of such information, nanopesticides will not be widely accepted despite their other beneficial effects. In this article, an effort is made to review the current status of nano-formulations for the management of storage-insect-pests, the research and extension gaps and ways to bridge the gaps to ensure safe use of the technology for efficient management of postharvest storage losses.

Health assessment method of front landing gear hydraulic retraction and extension system based on GRNN

With the continuous development of civil aircraft health management technology, the status monitoring data of important aircraft systems and components are constantly enriched. The health status of the front landing gear hydraulic retraction system has a great impact on the take-off and landing of the aircraft. Although the system has multi-dimensional monitoring parameters, it is difficult to effectively use the system monitoring data to accurately evaluate its health status. Aiming at the health assessment problem of the front landing gear hydraulic retraction system, this paper builds a simulation model of the system through AMESim software modeling, and studies the influence of the performance changes of hydraulic component parameters on the front landing gear retraction performance. The performance data of the front landing gear retraction actuator at different levels of failure are used as the original data, and the characterization parameters such as retraction time and maximum flow rate are extracted. A health index construction method based on generalized regression neural network (GRNN) is proposed, which can more effectively evaluate the health status of the system. Its effectiveness and accuracy are proved by method comparison.

Advancements in Battery Management through Multi-Scale Digital Twin Technology: Principles and Applications

To achieve peak carbon and carbon neutral goals, the development of electric cars has become strategically important. It is necessary to have precise battery management technology because the lifespan and safety of power batteries change dynamically as they are used. This leads to rapid capacity degradation brought on by the inconsistent performance of single cells and thermal runaway brought on by short board batteries or internal defects. New battery management capabilities have been made possible by the development of the digital twin model, which is now one of the technical trends in the industry. Based on the development trend of battery management technology , the article concentrates on the analysis of basic principles of battery digital twin modeling from the aspects of system modeling to management and control requirements. The article systematically introduces the construction method of multi-dimensional, multi- scale and multi-physical field fusion of digital twin battery. Combined with the previous research of the team, the practical case of the digital twin battery was analyzed. Finally, the application perspective of digital twin battery is discussed in production design, life cycle management and other scenarios, which provided ideas and references for the development of battery management technology.

Bulbs to blooms: advancements in sustainable lilium farming

The commercial cultivation and marketing of cut flowers presents significant opportunities. The market for exotic cut flowers is expanding day to day. Lilium holds a significant position in cut flower industry and is recognized as one of the top ten major varieties in the global floriculture sector. Its cultivation in non-traditional areas needs to be explored to meet the increasing demand. Hence, different research work has been undertaken in different places in order to standardize the cultivation of Lilium in open conditions. However, its cultivation is now being done under protected structures for better quality and yield. Furthermore, the practice of protected cultivation makes it possible to grow Lilium in non-traditional areas. An effort has been made to compile the production techniques developed for the commercial production of Lilium, such as higher yielding cultivars, suitable propagation techniques, intercultural operations, insect-pest disease management and post-harvest technology. These techniques will be replicated in non-traditional areas after proper validation.

Enhancing Supply Chain Management Through Artificial Intelligence: A Case Study of JD Logistics

With the intensification of global economic competition, enterprises face the challenge of improving the supply chain management efficiency, and AI technology, as an emerging field in computer science, can provide effective solutions. As a leading e-commerce logistics service provider in China, JD Logistics has accumulated a wealth of logistics technology capabilities and digital transformation experience within and outside the JD Group. Using JD Logistics as a case study, this paper discusses the application of AI technology in supply chain management and its impact on enterprise responsiveness and operational efficiency. AI technology has significantly improved the supply chain operational efficiency and responsiveness of JD Logistics by applying intelligent supply chain planning, predictive analysis and intelligent decision-making. The study systematically summarizes the key role of AI technology in optimizing supply chain management through a literature review and specific case studies, providing an important reference and practical experience for enterprises to achieve digital transformation.

A scoping review on advancements in noninvasive wearable technology for heart failure management

Wearables offer a promising solution for enhancing remote monitoring (RM) of heart failure (HF) patients by tracking key physiological parameters. Despite their potential, their clinical integration faces challenges due to the lack of rigorous evaluations. This review aims to summarize the current evidence and assess the readiness of wearables for clinical practice using the Medical Device Readiness Level (MDRL). A systematic search identified 99 studies from 3112 found articles, with only eight being randomized controlled trials. Accelerometery was the most used measurement technique. Consumer-grade wearables, repurposed for HF monitoring, dominated the studies with most of them in the feasibility testing stage (MDRL 6). Only two of the described wearables were specifically designed for HF RM, and received FDA approval. Consequently, the actual impact of wearables on HF management remains uncertain due to limited robust evidence, posing a significant barrier to their integration into HF care.

A Beam Hopping Scheme Based on Adaptive Beam Radius for LEO Satellites.

Toward the vision of seamless global connectivity in the 6G era, the non-terrestrial network (NTN) in space-air-ground integrated networks (SAGINs) network architecture is one of the highly promising solutions. From the perspective of relay nodes, NTN includes satellite nodes and space-based platform nodes. As a resource management technology in satellite communication, beam-hopping has garnered significant attention from researchers due to its effectiveness in ad-dressing the disparity between offered capacities and uneven terrestrial traffic demands. Recognizing that the larger beams offer broader coverage but the smaller ones provide better an-ti-interference capabilities and higher throughput, this paper introduces an adaptive cluster-ing-based approach. It provides large, medium, and small user beams to target ground users. The proposed algorithm aims to minimize total system latency and enhance system throughput. Sim-ulation results show that employing the proposed algorithm in the baseline model results in a 3.44% increase in system throughput and a 35.5% reduction in system latency. Furthermore, simulation results based on alternative models indicate that while the proposed algorithm may lead to a slight decrease in system throughput, it brings significant improvements in system latency.

Perceptions of the Use of Mobile Technologies for Smoking Cessation: Focus Group Study With Individuals of Low Socioeconomic Status Who Smoke.

The use of mobile technologies to deliver behavioral health interventions, including smoking cessation support, has grown. Users' perceptions are important determinants of the adoption and use of new technologies. However, little is known about users' perceptions of mobile technologies as smoking cessation aids, particularly among disadvantaged individuals who smoke. This study aimed to examine the acceptance of mobile technologies for smoking cessation among young adults with low socioeconomic status who smoke. In total, 38 current cigarette smokers, 18 to 29 years old, who wanted to quit and did not have a 4-year college degree nor were enrolled in a 4-year college, participated in 12 semistructured digital focus groups. The moderation guide was guided by the Unified Theory of Acceptance and Use of Technology. Discussions were audio recorded, transcribed verbatim, and coded for the Unified Theory of Acceptance and Use of Technology constructs (ie, effort expectancy, facilitating conditions, performance expectancy, and social influence), sentiment (ie, negative, neutral, and positive), and purpose of using mobile technologies (ie, lifestyle and health management and smoking cessation) following a deductive thematic analysis approach. Participants had positive experiences using mobile technologies for lifestyle and health management, primarily for fitness and dietary purposes. Salient themes were facilitating conditions of use (44/80, 55%), with prior experiences and costs subthemes, followed by perceived usefulness of mobile technologies in helping users attain health goals (22/80, 27.50%), which were generally positive. Ease of use (11/80, 13.75%) and social influences (3/80, 3.75%) were minimally discussed. Conversely, participants had limited awareness of smoking cessation uses of mobile technologies, which was the primary barrier under facilitating conditions discussed (33/51, 64.70%). Participants expressed skepticism about the usefulness of mobile technologies in helping them quit smoking (14/51, 27.45%). Effort expectancy was not discussed, given participants' limited prior use. Social influences on mobile technology use for smoking cessation were minimally discussed (4/51, 7.84%). The use of mobile technologies for smoking cessation was unknown to young adults with low socioeconomic status who smoke. To reduce cigarette smoking and associated health disparities, increasing awareness and use of evidence-based mobile-based smoking cessation interventions are needed. Smoking cessation interventions should incorporate features perceived as useful and easy to use to capitalize on positive user experiences and the acceptability of mobile technologies for lifestyle and health management.

A Decision Support Model for Lean Supply Chain Management in City Multifloor Manufacturing Clusters

City manufacturing has once again become one of the priority areas for the sustainable development of smart cities thanks to the use of a wide range of green technologies and, first of all, additive technologies. Shortening the supply chain between producers and consumers has significant effects on economic, social, and environmental dimensions. Zoning of city multifloor manufacturing (CMFM) in areas with a compact population in large cities in the form of clusters with their own city logistics nodes (CLNs) creates favorable conditions for promptly meeting the needs of citizens for goods of everyday demand and for passenger and freight transportation. City multifloor manufacturing clusters (CMFMCs) have been already studied quite a lot for their possible uses; nevertheless, an identified research gap is related to supply chain design efficiency concerning urban CMFMCs. Thus, the main objective of this study was to explore the possibilities of lean supply chain management (LSCM) as the integrated application of lean manufacturing (LM) approaches and I4.0 technologies for customer-centric value stream management based on eliminating all types of waste, reducing the use of natural and energy resources, and continuous improvement of processes related to logistics activities. This paper presents a decision support model for LSCM in CMFMCs, which is a mathematical deterministic model. This model justifies the minimization of the number of road transport transfers within the urban area and the amount of stock that is stored in CMFMC buildings and in CLNs, and also regulating supplier lead time. The model was verified and validated using appropriately selected test data based on the case study, which was designed as a typical CMFM manufacturing system with various parameters of CMFMCs and urban freight transport frameworks. The feasibility of using the proposed model for value stream mapping (VSM) and managing logistics processes and inventories in clusters is discussed. The findings can help decisionmakers and researchers improve the planning and management of logistics processes and inventory in clusters, even in the face of unexpected disruptions.

How do pig veterinarians view technology-assisted data utilisation for pig health and welfare management? A qualitative study in Spain, the Netherlands, and Ireland

BackgroundApplication of data-driven strategies may support veterinarians’ decision-making, benefitting pig disease prevention and control. However, little is known about veterinarians’ need for data utilisation to support their decision-making process. The current study used qualitative methods, specifically focus group discussions, to explore veterinarians’ views on data utilisation and their need for data tools in relation to pig health and welfare management in Spain, the Netherlands, and Ireland.ResultsGenerally, veterinarians pointed out the potential benefits of using technology for pig health and welfare management, but data is not yet structurally available to support their decision-making. Veterinarians pointed out the challenge of collecting, recording, and accessing data in a consistent and timely manner. Besides, the reliability, standardisation, and the context of data were identified as important factors affecting the efficiency and effectiveness of data utilisation by veterinarians. A user-friendly, adaptable, and integrated data tool was regarded as potentially helpful for veterinarians’ daily work and supporting their decision-making. Specifically, veterinarians, particularly independent veterinary practitioners, noted a need for easy access to pig information. Veterinarians such as those working for integrated companies, corporate veterinarians, and independent veterinary practitioners expressed their need for data tools that provide useful information to monitor pig health and welfare in real-time, to visualise the prevalence of endemic disease based on a shared report between farmers, veterinarians, and other professional parties, to support decision-making, and to receive early warnings for disease prevention and control.ConclusionsIt is concluded that the management of pig health and welfare may benefit from data utilisation if the quality of data can be assured, the data tools can meet veterinarians’ needs for decision-making, and the collaboration of sharing data and using data between farmers, veterinarians, and other professional parties can be enhanced. Nevertheless, several notable technical and institutional barriers still exist, which need to be overcome.

A Study on the Application of Meta-Cosmos Technology in Risk Management of Commercial Banks

In recent years, the meteoric rise of Meta-Cosmos technology has established it as a pivotal component of the digital economy. This amalgamation of cutting-edge technologies—including virtual reality (VR), augmented reality (AR), blockchain, and artificial intelligence—has fundamentally reshaped perceptions of the digital realm. As the cornerstone of the financial system, commercial banks have consistently confronted a dynamic array of challenges in risk management. With the acceleration of digitalization, traditional risk management methods have increasingly revealed their inadequacies, particularly in navigating the complexities of fluctuating market conditions and the escalating threats to cybersecurity. The advent of Meta-Cosmos technology offers commercial banks a novel perspective and innovative tools for risk management. By constructing virtual economic environments, banks can conduct more precise risk assessments and controls, thereby enhancing the scientific rigor and timeliness of their decision-making processes. Nevertheless, the application of Meta-Cosmos technology within the banking sector remains in its exploratory phase, facing challenges related to technological maturity, security, and regulatory compliance. This study aims to examine how Meta-Cosmos technology can be integrated into the risk management frameworks of commercial banks, thereby providing theoretical support and practical guidance for the future development of financial technology.

Management Model Using Standardized Contracts and BIM Tools for the Optimization of PPP Projects in Peru

Public–private partnerships (PPPs) are contractual schemes that have relative success in Latin America due to their configuration, where the spirit of the contract lies in an appropriate distribution of risks. This is both the most important and fundamental aspect of this contractual scheme but also the most complex, as it is the main cause of contract modifications (addenda) in countries across the region. In this context, different concessionary contractual frameworks for PPPs on the national road network of Peru were evaluated, revealing common failure indicators that lead to contract modifications within the first six years of the concession. This study offers the development of a management model that includes the good practices of contractual management of NEC4 Option F and the application of BIM information management processes, optimizing the management of infrastructure through emerging technologies of information management supported by agile contractual schemes.

Application Analysis of BIM Technology in Construction Engineering Cost Management

With the rapid development of information technology, Building Information Modeling (BIM) technology has gradually occupied an important position in the construction industry. With the introduction of BIM technology, the cost control of construction projects can be greatly improved [1]. The use of this technology can not only reduce the project approval time but also improve the quality of the project. In addition, it can also help the construction personnel to solve the project changes, maintenance costs, insurance rates, and other related issues, so that the operation of the project is more efficient and economical. This paper will discuss the role of BIM technology in depth, and explore the advantages and disadvantages of each link through the research of the project, to provide a reference for the promotion of this new project. By constantly adjusting the application strategy, the goal is to meet the current market demand.

An Overview of Tools and Technologies for Anxiety and Depression Management Using AI

This study aims to evaluate the utilization and effectiveness of artificial intelligence (AI) applications in managing symptoms of anxiety and depression. The primary objectives are to identify current AI tools, analyze their practicality and efficacy, and assess their potential benefits and risks. A comprehensive literature review was conducted using databases such as ScienceDirect, Google Scholar, PubMed, and ResearchGate, focusing on publications from the last five years. The search utilized keywords including “artificial intelligence”, “applications”, “mental health”, “anxiety”, “LLMs” and “depression”. Various AI tools, including chatbots, mobile applications, wearables, virtual reality settings, and large language models (LLMs), were examined and categorized based on their functions in mental health care. The findings indicate that AI applications, including LLMs, show significant promise in symptom management, offering accessible and personalized interventions that can complement traditional mental health treatments. Tools such as AI-driven chatbots, mobile apps, and LLMs have demonstrated efficacy in reducing symptoms of anxiety and depression, improving user engagement and mental health outcomes. LLMs, in particular, have shown potential in enhancing therapeutic chatbots, diagnostic tools, and personalized treatment plans by providing immediate support and resources, thus reducing the workload on mental health professionals. However, limitations include concerns over data privacy, the potential for overreliance on technology, and the need for human oversight to ensure comprehensive care. Ethical considerations, such as data security and the balance between AI and human interaction, were also addressed. The study concludes that while AI, including LLMs, has the potential to significantly aid mental health care, it should be used as a complement to, rather than a replacement for, human therapists. Future research should focus on enhancing data security measures, integrating AI tools with traditional therapeutic methods, and exploring the long-term effects of AI interventions on mental health. Further investigation is also needed to evaluate the effectiveness of AI applications across diverse populations and settings.

Blockchain Based Decentralized Storage Drive

The "Decentralized Storage Drive" project introduces a secure, blockchain-based platform for decentralized data storage and sharing. By integrating the Interplanetary File System (IPFS) for decentralized storage, the platform ensures that data remains immutable and resistant to censorship. Solidity smart contracts deployed on the Ethereum blockchain provide robust mechanisms for access control, allowing users to manage data ownership and permissions without relying on centralized authorities. A React-based front- end interface simplifies user interaction, enabling seamless data upload and access management. This project addresses critical issues related to data privacy, security, and ownership, offering a user-friendly solution that empowers individuals with greater control over their digital assets. Throughout the development of this project, a focus on security, user control, and decentralization has been paramount. The rigorous testing of smart contracts and the integration of secure authentication methods ensure that the platform is both reliable and resilient to potential threats. The "Decentralized Storage Drive" represents a significant advancement in the field of decentralized applications, demonstrating the practical application of blockchain technology in everyday data management. Key Words: Decentralized Storage, Blockchain Technology, IPFS(InterPlanetary File System), Smart Contracts, Data Integrity, Access Control