Management Methodology Research Articles

Editorial: Literature reviews as a research methodology in family business management

Editorial: Literature reviews as a research methodology in family business management

Adequacy of measures to threats as one of the fundamental ­principles of safety riskology

Purpose. To justify the need to apply the “principle of adequacy of probabilities” as a measure to improve the risk management methodology, to prevent (counteract) existing and emerging risks (threats) to the security of complex systems. Methodology. The well-known methodological principle called “Ockam’s Razor” was used. In the course of the research, a complex method was used, which included formal and logical analysis of normative and scientific and technical literature, analysis of statistical data, synthesis, abstraction, experiment, observation, generalization of data, description. Findings. In the course of the research, one of the threats (danger, risk) was identified, which simultaneously affects the existence of such a system due to traffic safety of rolling stock of rail transport enterprises, and the full implementation of the system’s capabilities due to axle loads, mass and speed movement of rolling stock, level of operating costs, passenger flow, regularity of transportation, etc. Experimental application of the lubricant “Mariol NT” in SPP 12-5, GS-3 lubrication systems showed a decrease in wear intensity by 240 %. Due to the use of a new lubricating material applied to the friction surface of wheel rims as part of the paint coating, the wear intensity of flanges of twin-wheel rims is reduced by 2.2 times, and that of locomotives by 2.4 times. Originality. It was determined that the “principle of adequacy of probabilities” as a measure of improvement of the risk management methodology, prevention (counteraction) of existing and prospective risks (threats, dangers) during the safety assessment of complex systems is currently not applied, but its consideration helps to prevent (countermeasures) to existing and emerging risks (threats) to the safety of complex systems. Practical value. The use of the “principle of adequacy of probabilities” allows for the theoretical and experimental determination of the numerical value of the ratio between the probability of an event occurring, caused by the action of an identified threat that negatively affects the state (level) of safety and operability of system elements at all stages of its existence, and the probability of a positively compensatory effect of the developed countermeasure to the identified threat.

Using kanban board for forming social time management skills of future IT specialists

For the professional development of students studying in information technology areas, it is important to develop social time management skills, i.e. skills in organizing well-coordinated teamwork and optimal distribution of responsibilities between team members with minimal time to achieve a common goal. The article aims to substantiate and elaborate methodological recommendations for developing social time management skills using kanban technology in organizing team activities of future IT specialists. Criteria for assessing the development of social time management skills are proposed. The article points out the necessity of including kanban project management technology not only as training content but also as a way to optimize time resources when performing team training projects.The article describes an experiment on teamwork organization of Nizhny Tagil State Socio-Pedagogical Institute (branch) of Russian State Vocational Pedagogical University students. At the initial stage, the determination of the level of formation of social time management skills among 2nd year students in the process of completing a project assignment on software product development was carried out within the discipline “High-level methods of informatics and programming” without the use of time management technologies. The results of this stage showed the need to develop time management skills of future IT specialists in the process of teamwork. Recommendations for organizing student teamwork when using project time management technologies using a kanban board were formulated, which will allow students to develop social time management skills.The next stage of the experiment was the organization of students’ teamwork using flexible project management methodology (kanban technology): taking into account the proposed recommendations in the experimental group, without the use of time management technologies in the control group. The results of the pedagogical experiment showed the expediency of following the proposed methodological recommendations.

Technique of functional simulation as a tool for providing the required quality of fortified bakery products

Relevance. The problem of irrational and unbalanced nutrition is relevant for almost all regions of Russia. There is a need to enrich everyday products with micronutrients that are of particular importance in the diet. Fortified bread and bakery products with specified consumer properties in the diet can be one of such valuable products.Methods. The methodology of structural analysis and design of systems (Structured Analysis and Design Technique, SADT) is often used in life cycle management of complex high-tech products and has not found wide application in the food industry. The authors substantiate the need to introduce tools for functional and graphical modeling of business processes that implement the SADT methodology in life cycle management to ensure the quality of finished bakery products.Results. An original generalized functional and logical model of the process “To produce enriched bread (bakery products) with regionally significant micronutrients” has been developed. The analysis of the technology of enriched bakery products, carried out at various levels of decomposition of the process, revealed that the quality of the finished product is significantly influenced by the choice of the technological stage of applying the components of the mixture proposed for the enriching composition. It has been established that preference should be given to organic forms of additives — components of the enriching composition. To preserve the nutritional properties of bakery products, an enriching composition is proposed to be applied to the surface of the finished product. The proposed method has been tested in experimental production conditions. Its manufacturability and controllability of the proposed technical solutions are proved. The approach to functional and graphical modeling of food technologies developed by the authors on the example of bakery products opens up prospects for improving the quality of finished products and can be widely used in food engineering.

Strategic leadership for complex energy and oil & gas projects: A conceptual approach

Strategic leadership is essential for the success of complex energy and oil & gas projects, particularly those that involve large-scale, multidisciplinary teams navigating dynamic environments. This paper outlines a conceptual framework designed to enhance leadership effectiveness in managing such projects. The framework emphasises three key pillars: collaboration, stakeholder engagement, and regulatory alignment, which are critical for driving innovation and achieving operational success in the energy sector. In the context of collaboration, the framework advocates for fostering an inclusive team culture that encourages knowledge sharing and interdisciplinary cooperation. Effective leaders must cultivate relationships among diverse stakeholders, ensuring that varied perspectives are integrated into project planning and execution. This collaborative approach not only enhances problem-solving capabilities but also promotes a shared sense of ownership among team members. Stakeholder engagement is another crucial element of this leadership framework. Leaders must actively communicate with stakeholders—including government entities, local communities, and industry partners—to build trust and facilitate transparency. By understanding the needs and concerns of different stakeholders, leaders can align project objectives with broader societal and environmental goals, thereby minimizing resistance and enhancing project viability. Regulatory alignment is vital in the energy and oil & gas sectors, where compliance with industry regulations and environmental standards is paramount. The proposed framework guides leaders in navigating complex regulatory landscapes, ensuring that project strategies are aligned with legal requirements and best practices. This proactive approach mitigates risks associated with non-compliance, ultimately safeguarding the project's reputation and long-term sustainability. By integrating these pillars into their leadership practices, energy and oil & gas project leaders can drive innovation and operational excellence, even under challenging conditions. This conceptual approach underscores the importance of strategic leadership in managing complexity and achieving successful outcomes in the energy sector, paving the way for future advancements in project management methodologies. Keywords: Strategic Leadership, Energy Projects, Oil & Gas, Collaboration, Stakeholder Engagement, Regulatory Alignment, Operational Success, Innovation, Project Management Framework.

A Business Management Model in the Circular Economy: Technological Solutions for Plastic Recycling

Objectives: this article develops a model for managing business processes in a circular economy using technologies for plastic recycling. Theoretical Framework: The theoretical idea and basis of the article consists in the development of project management methodology, process approach in the closed-loop economy, development of methods and economic tools aimed at effective resource management taking into account waste reduction and increased reuse of plastic fractions in Municipal Solid Waste (MSW). The application of digital technologies and solutions in the context of business process management in the field of plastics recycling will be substantiated, which will allow to identify new opportunities and reserves for optimising business processes in this field, increasing the efficiency of resource use, improving the environment and reducing costs. Method: the work uses a project approach, a process approach, digital modeling methods, and the “polluter pays” method. To implement the process approach, it is proposed to use the concept of Business Process Management (BPM). Competent business process management allows the company to react quickly to changing market conditions and customer orientation. Digital modelling in this paper means the representation of actions in the form of business processes in the organisation of solid waste management, the 'polluter pays' method means the economic assessment and accounting of environmental damage in waste management in the costs of business processes. Results and Discussion: The results of the study can be used to introduce the process approach to plastics recycling in individual regions and countries for the development of a green economy. According to the estimates of the authors, the optimisation and cost reduction of business processes, taking into account the environmental factor and the increase of the revenue part of the project from the reuse and inclusion in the economic turnover of plastic waste recycling products on the scale of the considered city (population of 1800 thousand people, area of 2856 ha, 18.14 tonnes of plastic waste accumulated per day) will reduce the costs of business process management by more than 200 thousand euros. Research Implications: the results of the study can be used to justify projects for the processing and recycling of solid municipal waste, including plastic waste, to introduce environmentally friendly production, to reduce the negative impact on the environment, to develop a process approach to the organisation of all activities for the collection of plastic waste in the city, district. In addition, the application of the proposed approach allows to obtain economic benefits for companies through the sale of secondary resources for the processing of plastic waste, as well as to reduce the negative impact on the environment. Originality/ Value: The originality of the research and its value lies in a new scientific formulation of the problem of reducing environmental pollution from plastic waste through the use of business processes in the field of plastic recycling and digital solutions, as well as the possibility of practical application of the results obtained in the field of green economy.

AGILE PROJECT MANAGEMENT: ANALYZING THE EFFECTIVENESS OF AGILE METHODOLOGIES IN IT PROJECTS COMPARED TO TRADITIONAL APPROACHES

This systematic review examines the comparative effectiveness of Agile and traditional project management methodologies, focusing on their application in dynamic IT environments and well-defined industries. Utilizing the PRISMA guidelines, a total of 45 peer-reviewed studies published between 2005 and 2023 were analyzed. The review found that Agile methodologies consistently outperformed traditional approaches in dynamic settings, offering greater flexibility, faster project delivery, and higher customer satisfaction through iterative cycles and continuous stakeholder engagement. However, traditional methods, such as Waterfall, were found to be more effective in projects with fixed scopes and stringent regulatory requirements, providing better control and predictability. The review also highlights the growing adoption of hybrid project management models, which combine Agile’s adaptability with the structure of traditional methods, particularly in large or complex projects. The findings underscore the importance of selecting the appropriate methodology based on project-specific factors, with Agile excelling in fast-changing environments and traditional methods being more suitable for regulated industries. Further research is recommended to explore Agile’s applicability in non-IT sectors and the long-term effectiveness of hybrid models.

The Project Book: A Toolkit for Stakeholder Management in International Development Projects

This article presents a methodology of management of International Development Projects designed for offshoring agents that, on a traditional project management basis (phases and processes), adds an open documentary system (Project Book) and the application of participatory action research techniques. The Project Book enhances transparency and therefore confidence and engagement. Participatory action research techniques support intercultural management of the projects’ stakeholders. The methodology has been tested in three cases of «health», «production», and «education sectors», executed in Colombia. The quality and success of the project after the application is characterized by an 80 % acceptance of the agents.

Accounting and Healthcare Waste Management: Strategies to Improve Financial Efficiency and Reduce Environmental Impact

Healthcare waste management represents both a financial and environmental challenge for healthcare institutions. This article discusses accounting and financial management strategies that can be implemented to optimize operational costs related to healthcare waste disposal, while minimizing environmental impact. A theoretical framework based on financial and environmental sustainability is proposed, integrating environmental accounting policies and waste management methodologies. The results demonstrate that adequate financial planning and the implementation of treatment technologies can significantly reduce costs and improve efficiency in healthcare waste management. The findings highlight the need for more robust management policies and greater investment in sustainable treatment technologies.

EVALUATION OF STUDENTS' TRAINING LEVEL IN THE ELECTIVE DISCIPLINE "QUALITY SYSTEMS IN PHARMACY"

The pharmaceutical industry is rapidly developing and implementing new innovative approaches and legal regulation of the quality management system of medicinal products, which includes a set of methods, processes and resources that are necessary for quality management. Therefore, the study by students of the specialty 226 "Pharmacy, industrial pharmacy" of the elective discipline "Quality systems in pharmacy" is an important area of professional training of a qualified specialist who will master the methodology of quality management, normative-legislative and organizational-economic aspects of quality control of medicinal products at pharmaceutical enterprises. Training of domestic students in the field of drug technology is an important direction of pharmaceutical education today. The main tasks of studying the elective discipline "Quality Systems in Pharmacy" are: formation of students of higher education in general knowledge about the quality indicators of medicinal products according to the stage of their life cycle by fulfilling the requirements of proper pharmaceutical practices and developing documentation in accordance with their requirements; formation of practical skills; raising the level of general and scientific development of students of higher education, forming their outlook and perspective as modern qualified specialists in the field of pharmacy. The purpose of the work was to study the assessment of the level of training of domestic students in the elective discipline "Quality Systems in Pharmacy". Materials and methods. We used an empirical research method (questionnaire). Questionnaire was a key research method, as it allows to get answers from the student audience regarding the organization of the educational process. A survey was conducted to assess the level of preparation of domestic students of the 5th year of the Faculty of Pharmacy who completed the study of the selective discipline "Quality Systems in Pharmacy". 50 full-time students and 2 distance learning students took part in the survey. Out of all the respondents, only one studies on budget forms of education. Research results. According to the curriculum, the elective discipline "Quality Systems in Pharmacy" at the Faculty of Pharmacy of IFNMU is studied in the V course in the IX semester, at the stage when students have already acquired basic knowledge of pharmaceutical disciplines. The discipline is chosen by already formed specialists who possess a large stock of theoretical knowledge and practical skills and are motivated to study a new subject, so it remains for the teacher to systematize information for the proper conduct of the discipline study course. 3 ECTS credits are provided for the study of the discipline in the curriculum. The discipline includes 20 hours of lectures, 30 hours of practical classes, 40 hours of independent student work and ends with a module. Lecture and practical material taught at the level of modern scientific and practical data with the aim of forming students' program results. We conducted an analysis of problems in the organization of the educational process for students of the Faculty of Pharmacy of the Ivano-Frankivsk National Medical University during full-time education. The success of implementing the selective discipline "Quality Systems in Pharmacy" and ensuring a high level of training depends primarily on the quality of the work of scientific and pedagogical workers.

Proposal and appraisal of novel indicators and performance metrics for project monitoring

Project monitoring is a critical process for guaranteeing its excellence, ensuring the delivery of activities both on planned time and budget. Despite its importance, numerous discussions have arisen regarding which indicator is the most appropriate, and how and when to measure it. The primary objective of this article is to evaluate novel duration indicators based on the Earned Value Management (EVM), Earned Schedule Management (ESM) and Earned Duration Management (EDM) methodologies, and to assess new performance metrics. This involves the determination of the limits of the control charts through extensive Monte Carlo Simulations and their performance under several out-of-control scenarios. The robustness of the control charts is tested using performance metrics within a statistical control approach. The secondary objective consists of evaluating the impact of new probability distributions that describe the project activities, such as the Gamma and Conway–Maxwell–Poisson (CMP) distributions. The contributions of this study are threefold: firstly, the Duration Performance Index (DPI) from the EDM is a reliable indicator for monitoring the overall project duration. Secondly, the probability of overreaction (PO) and the accuracy (Ac) are the performance metrics that most produced robust indicators. Lastly, it is observed that different probability distributions, specifically Gamma and Conway–Maxwell–Poison (CMP) distributions, seem to interfere with the correct generation of control charts signals, although they do not significantly affect the overall duration of the entire project.

How to create a national sport strategy

Purpose: Due to its numerous positive effects on individuals and society as a whole, sport has become an important socio-economic subsystem of the national environment. To regulate, develop, and monitor the impact of sport at national, regional, and local levels, countries often develop and adopt various strategic documents, which can be found under the name of national program or strategy for sport development at the national level. Due to the importance of understanding the substantial comprehensiveness of national sports strategies (NSS) and the precision of the methodological-processual approach, the purpose of the present paper is to present a methodological and substantive view of the process of creating NSS and to develop a comprehensive concept (model) that appropriately places the substantive part in the phases of the process. Method: The methodology of writing conceptual research papers was used. This approach provides a bridge or link between different concepts and scientific disciplines. The methodological approach was the “model paper” which aims to provide a theoretical framework that predicts relationships between concepts. A model paper identifies connections between constructs and introduces new constructs. Findings: The development of the substantive model for the preparation of the NSS revealed that the comprehensive sport system at the national level can be understood within the framework of five substructures (financial, organizational, developmental, material, and program) that contribute significantly to the development and implementation of activities related to sport and physical activity. They are interconnected and interdependent and are surrounded by a so-called integrity framework that protects the sport system from the deviations of modern society. The methodological process model reveals that for the implementation of the process of NSS preparation, the most appropriate is the strategic management methodology, which enables accurate and efficient management of planning, organization, implementation, and control of the NSS. The combination of both perspectives (substantive and methodological) enables the development of a comprehensive concept (model) of NSS preparation. Conclusions: The developed concept (model) of the NSS preparation comprehensively covers the issue of the NSS preparation management and is dialectical, open, flexible, and repeatable, enabling future users to manage the NSS preparation in a substantive-holistic and process-effective manner.

Research on risk detection and management based on machine learning

With the rapid advancement in financial risk management, machine learning techniques are playing an increasingly crucial role in credit assessment and risk detection. They provide financial institutions with more scientific and precise platforms and methodologies for risk management. This paper explores various traditional machine learning methods in risk assessment, introduces the XGBoost ensemble learning method, and integrates traditional machine learning with Long Short-Term Memory (LSTM) neural networks to enhance the generalization capability of risk control and credit assessment models. This approach offers new perspectives and improvement directions for risk assessment standards and practices in the financial industry, affirming the potential application of machine learning technologies in future risk management.The results show that the random forest and decision tree have excellent accuracy and recall rates for distinguishing fraudulent transactions. After the introduction of LSTM neural networks, the accuracy and recall rates of fraudulent transaction recognition models reach around 99%, indicating that these models have good adaptability for fraud risk recognition.

Embracing methodological evolution and diversity in logistics and supply chain management research

PurposeThe purpose of this research is to highlight the significance of advancing research methodologies in logistics, operations and supply chain management. It seeks to expand the scope of research questions and explore areas previously constrained by traditional methodological approaches, thereby enhancing the exploration of complex, real-world business issues.Design/methodology/approachThis commentary introduces and discusses the special issue on “Advances in Research Methodologies for Logistics and Supply Chain Management,” exploring methodological innovations, diversity and their potential to address complex business and disciplinary challenges. The commentary assesses a broad spectrum of methodologies, ranging from traditional qualitative and quantitative approaches to overlooked methods such as qualitative comparative analysis, netnography, design science, Bayesian networks, machine learning and repertory grid technique. This diverse methodological approach enables a comprehensive examination of emerging and ongoing challenges in the supply chain. In the final summary section, we highlight additional areas of research method innovation not covered in this special issue, offering a broader perspective on future directions for methodological advancements in SCM research.FindingsThe findings suggest that integrating less explored methodologies from various disciplines encourages a richer, multi-level analysis of the supply chain management landscape. This integration facilitates a deeper understanding of emerging challenges, such as geopolitical issues, global supply chain disruptions and the integration of new technologies. Additionally, the exploration of ‘white space' in research methodologies indicates significant potential for discovering new insights that bridge practical problems with theoretical contributions.Originality/valueThe value of this methodological diversity extends beyond academic enrichment. It catalyzes the generation of innovative insights crucial for business practitioners, policymakers, consultants and academics. By adopting varied research designs and methodologies, the research note can offer a broader spectrum of analytical perspectives, crucial for uncovering nuanced insights into complex, cross-cultural and relationship-based dynamics in supply chain research.

РОЛЬ KPI ТА OKR В ЕФЕКТИВНОСТІ ДІЯЛЬНОСТІ КОМПАНІЇ

The article addresses the implementation and effective utilization of two crucial management methodologies - Key Performance Indicators (KPIs) and Objectives and Key Results (OKR) - in the context of the contemporary business environment. The significance of both methods is analyzed in the backdrop of increasing competition and constant industry changes, necessitating novel approaches to strategic management and the exploration of methods to enhance overall company efficiency. Various aspects of employing KPIs and OKRs in different types of companies and at various stages of their development are highlighted. Special attention is given to examining how both methodologies can coexist and interact to achieve maximum effectiveness in strategic management. A methodology for the joint implementation of KPIs and OKRs is proposed, taking into account the unique needs and characteristics of each approach. The outlined steps include analyzing the company's strategy, identifying key areas for measurement, formulating specific objectives through OKRs, and determining corresponding KPIs. Roles and significance of Key Performance Indicators and Objectives and Key Results in different types of companies are analyzed, demonstrating how their combined usage can create synergy and ensure strategic success. The overall conclusion of the article underscores the importance of establishing an integrated management system that combines the stability of KPIs with the flexibility of OKRs. The necessity for continuous improvement and adaptation of these methodologies in the context of a dynamic business environment is emphasized. In summary, the article makes a significant contribution to understanding and applying strategic management methodologies, fostering the development of modern approaches to enhancing overall business efficiency.

The need for a risk management framework for data science projects: a systematic literature review

Many data science endeavors encounter failure, surfacing at any project phase. Even after successful deployments, data science projects grapple with ethical dilemmas, such as bias and discrimination. Current project management methodologies prioritize efficiency and cost savings over risk management. The methodologies largely overlook the diverse risks of sociotechnical systems and risk articulation inherent in data science lifecycles. Conversely, while the established risk management framework (RMF) by NIST and McKinsey aims to manage AI risks, there is a heavy reliance on normative definitions of risk, neglecting the multifaceted subjectivities of data science project failures. This paper reports on a systematic literature review that identifies three main themes: Big Data Execution Issues, Demand for a Risk Management Framework tailored for Large-Scale Data Science Projects, and the need for a General Risk Management Framework for all Data Science Endeavors. Another overarching focus is on how risk is articulated by the institution and the practitioners. The paper discusses a novel and adaptive data science risk management framework – “DS EthiCo RMF” – which merges project management, ethics, and risk management for diverse data science projects into one holistic framework. This agile risk management framework DS EthiCo RMF can bridge the current divide between normative risk standards and the multitude of data science requirements, offering a human-centric method to navigate the intertwined sociotechnical risks of failure in data science projects.

Method of Maximizing F-Synergistic Value in IT Development Projects for Self-Managed Organizations

The article is devoted to the formulation of the method of maximizing the F-synergistic value of IT development projects of a project-oriented organization, which was developed within the syncretic methodology of project management. The application of the proposed method is considered in the field of IT development projects of organizations involved in infrastructure restoration projects of Ukraine. The directions of scientific research in the field of value-oriented project management are analyzed. The previously unsolved part of the scientific problem is highlighted. Objects of value analysis in a project-oriented organization carrying out IT development were identified, among which stellarator projects were highlighted. A model for determining the value of a separate component of the system is presented. The concept of F-synergistic value is defined. Such a value is proposed to be calculated through the aggregate value of three clusters that create synergistic effects both within themselves (first-order value) and among themselves (second-order value). The clusters included: "IT + people" cluster, "projects + operational activity" cluster, "methodology + environment" cluster. Models for determining the value of a separate cluster and the aggregate F-synergistic value are proposed. Variations in the selection of weighting factors for evaluating value criteria are considered. Within the syncretic methodology, a method of maximizing the F-synergistic value of IT development of a project-oriented company is proposed. The model of 27 scenarios of the dynamics of the change of the multipliers of synergy of three clusters is presented. In the corresponding tables for each scenario, a hypothesis is put forward regarding the reasons for such dynamics for each scenario, as well as a model of further IT development of a project-oriented company in response to such reasons. According to the results of the development of the method of maximizing the F-synergistic value of IT development projects of a project-oriented organization guided by syncretic methodology, directions for improving the activities of such organizations were determined. An extended SWOT analysis of the proposed method was conducted. Conclusions based on the research are formulated, prospects for further research in the chosen direction are outlined.

Idārah Tanfîdz Manhāj Ta’lîm Al Lughah Al ‘Arabiyyah Fî Al Madrasah Al ‘Āliyah Al Namûdzajiyyah Zainul Hasan Genggong Probolinggo

The curriculum is of the utmost importance. It offers a basic structure that directs the process of learning. It is essential that the curriculum be applied accurately and successfully. Ensuring that learning objectives are satisfied and content is successfully communicated to students is ensured by a robust curriculum implementation. The following are the objectives of this research: 1. The purpose of this study is to identify and characterise the Arabic curriculum implementation management methodology used at Probolinggo's Zainul Hasan Genggong methodology High School. The success of the Arabic curriculum implementation management strategy in helping pupils acquire the language will next be examined. Lastly, it will offer suggestions for enhancement based on the research findings to raise the standard of management for the execution of the Arabic curriculum at Zainul Hasan Genggong Model High School in in Probolinggo.This study uses a qualitative descriptive methodology, gathering information via documentation, interviews, and observation.The study's findings unequivocally showed that the curriculum was successfully implemented and backed by a strong human resource base, cutting-edge teaching strategies, and infrastructure. Leadership dedication, teaching team collaboration, the availability of learning materials, motivation, and student involvement are factors that impact how well a curriculum is implemented. Two of the challenges are different student aptitude levels and scheduling limits. The study suggested hiring more qualified teachers, upgrading the facilities and infrastructure, and utilising information technology that is pertinent to learning Arabic.

Identification of strategic location for environmental noise control through the application of land use regression (lur) in a neural network platform

The significant causes of rising noise pollution within urban areas lie in extensive transportation networks, industrial operations, and commercial activities. Addressing this complexity, our study employs Land Use Regression (LUR) modelling to assess the intricate relationship between land-use features and environmental noise in urban landscape. The objective of this study is to provide a framework for predicting environmental noise levels in Delhi, India. For which, Lday, Lnight, LAeq, 24h, and Ldn noise descriptors were modelled at daily resolution data from 31 fixed-site monitors. The prediction at first stage for LUR was found to be R2 = 0.53 which was validated using the n-1 method. The model was later optimized using a NN. Output from the NN is included in the GIS environment to identify the hotspot of the noise. Previously identified engineering interventions applicable to urban contexts that were listed from the literature review were allocated as per hotspots because of the modelled output. The study also explored the avenue of using Delhi-specific transport variables developed from Google travel time data for prediction improvement of the noise level. The research contributes to advancement of noise pollution assessment and management methodologies, particularly in situations with no available validated traffic noise models.

Mass media guidelines for sports concussion: a scoping review protocol

Sports concussion is a common and costly injury, and increased public injury awareness could help reduce costs. Many factors, including public messages about sports concussion by the sports media, shape...