Management Methodology Research Articles

Comparative Evaluation of Multi‐Criteria Decision Making Methods for River Hydromorphology Assessment: Case Study of the Saz‐Çayırova Basin, Türkiye

ABSTRACTHydromorphology plays a crucial role in the sustainable management of water resources. It relies on numerous measures based on both qualitative and quantitative observations. The density of data complicates the decision‐making and evaluation processes concerning hydromorphological alterations. This study aims to develop a hydromorphological monitoring methodology for the sustainable management of a river basin subjected to industrial and urban density by analytically evaluating decision‐making approaches. Multi‐criteria decision‐making approaches have been designed to gather and consistently evaluate expert opinions, facilitating the examination of various external factors that impact hydromorphology and integrating these into the decision‐making processes. In this study, three important multi‐criteria decision‐making approaches were compared: the analytical hierarchy process, the best–worst method, and the Fuzzy analytical hierarchy process. Minimum violation, total deviation, and nonparametric tests were used to determine statistically significant differences among the three approaches and to identify the most effective method. Their impacts on hydromorphology were tested on a river network experiencing industrial and urban pressures. Although the results were similar in representing hydromorphology, the best–worst method proved to be statistically more consistent than the other two approaches.

Role of Artificial Intelligence in Construction Project Management

The construction sector occupies one of the major roles within the global economy, and 13% of world GDP currently comes from this industry. It is also expected to expand by 85%, to a value of $15.5 billion by 2030, with demand in China, the United States, and India acting as the major drives. The growth notwithstanding, the sector has been confronting serious problems with regard to arranging and disseminating large quantities of information among subcontractors, contractors, designers, clients, and other stakeholders with efficiency. Information Technology has emerged as a key enabler, thereby integrating scattered data across geographically dispersed projects, transforming the construction value chain. Artificial Intelligence accelerates this change, and the increasing investment demonstrates the possibility of boosting workforce productivity by 40 percent and doubling economic growth rates annually by 2035. This paper discusses the application of Artificial Intelligence (AI) in Construction Project Management (CPM) and reviews methodologies and applications that have been advanced for the improvement of efficiency and decision-making in the industry. The construction industry is bound to mark a tremendous change by the implementation of Artificial Intelligence (AI), redefining conventional processes and opening up innovation and productivity to new heights.

Transforming Talent Acquisition: How AI is shaping modern HRM

The study investigates the profound influence of artificial intelligence (AI) on the process of recruiting in contemporary human resource management (HRM) methodologies. As organizations strive for efficiency and accuracy in talent acquisition, Advanced artificial intelligence technologies, including machine learning algorithms, predictive analytics, and natural language processing, are revolutionising conventional recruitment approaches. This study provides a comprehensive overview of how AI enhances recruitment efficiency, improves decision-making, and addresses challenges related to fairness and bias. Key theoretical frameworks, including decision theory, are employed to analyze AI’s role and acceptance in recruitment processes. Despite its advantages, the paper also highlights significant challenges, such as algorithmic bias, transparency issues, and data privacy concerns. The ramifications for HRM theory and practice are examined, highlighting the need to adopt a well-rounded strategy that incorporates the technological potential of AI while also addressing ethical concerns. Key areas for future study include enhancing the transparency of AI and investigating its enduring impact on the culture within organizations. This review enhances the comprehension of the function of AI in recruiting and guides the ethical implementation of these technologies in HRM.

Methodology of Political Management in Teaching Modern Political Science

In contemporary political practice, political management has become one of the most popular and effective methods of governance. As a flexible and practical form of political influence, it is increasingly utilized by political organizations, parties, and government officials worldwide. However, its fundamental role in applied political science education is often overlooked. Tracing its origins to state institutions rather than commerce, political management is rooted in the early practices of governmental administration, exemplified by the work of F.W. Taylor in the early 20th century. This paper explores the role of political management within the political system, outlining its types and methodologies. Emphasis is placed on understanding political governance as a mechanism for influencing public life, while the article also highlights modern methods such as quantitative and qualitative empirical approaches, and theoretical methods including systemic, structural-functional, and critical-dialectical analysis. Political management's significance and application in modern political systems are examined through both theoretical frameworks and practical experiences.

A business process management lifecycle framework for continuous improvement towards operational excellence: lessons learned from a longitudinal study in a Brazilian organisation

Purpose The purpose of this study is to offer a business process management (BPM) framework with information and insights on designing, implementing, using and assessing business processes for continuous improvement towards operational excellence. Design/methodology/approach An action research is carried out over two and a half years on the BPM evolution of a Brazilian entertainment organisation. Findings Research provides a novel procedural framework towards improving the understanding of how a complete lifecycle approach for BPM can be implemented for continuous improvement, embracing the critical success factors for each lifecycle phase to achieve operational excellence. Information technology and project management are critical success factors resulting in project barriers. Strategic alignment, top management support, collaborative environment, methods and methodology, and focus on users and culture are acknowledged as main enablers. Findings reinforce the importance of an organisation analysis phase to begin the BPM development and highlight the assessment and improvement phase to respond to organisational environment dynamism. Practical implications Practitioners can benefit from the lessons learnt and the proposed framework, which serves as a rigorous methodology to achieve operational excellence in their real-world settings. Originality/value This paper goes beyond the well-known design and analysis phases of BPM development, generally studied with an individual focus, offering a complete lifecycle approach for continuous improvement, analysing each phase, from the drawing board to its use and evaluation. It counts on an original longitudinal study rather than a single-time assessment study.

A framework to minimize environments risks and to identify repurposing operations in the commercial aviation sector

Abstract This article proposes a risk management framework based on the Project Management Institute (PMI) risk management knowledge area to minimize threats in risk environments and identify repurposing operations in commercial aviation. The research method comprises three main steps: (i) the identification of repurposing and risk management methodologies applicable to commercial aviation through a literature review; (ii) the adaptation of the risk management framework for coronavirus disease 2019 (COVID-19); and (iii) a proposed framework for risk management. The developed framework identifies repurposing areas and highlights relative weaknesses that are overlooked in commercial aviation. Thus, it reduces the impact of risk environments such as pandemics, and it emphasizes the importance of considering previous historical events or lessons when generating strategies for new risk situations. Commercial aviation applies repurposing operations and promotes cooperation between supply chain actors in only a few areas. This article provides a methodology for subgroups of airlines and passengers, showing different effects between risk categories to benefit commercial aviation industry subgroups. Moreover, it contributes to risk management and decision-making in commercial aviation. The article’s proposed risk management framework identifies whether a risk environment is local, national, or global. It also allows us to reflect on the sectors involved in commercial aviation, and it recommends forming risk committees to jointly coordinate and monitor risks in order to generate global strategies and identify both areas for repurposing operations and the financial capacity needed to meet demand.

Development of Customized Project Management Methodology for the Implementation of Online Archives Exhibitions: Insights and Evaluation from a Research and Development Organization

Abstract This study explores the development of a customized project management methodology tailored for the implementation of online archives exhibitions, offering insights and evaluation derived from a research and development organization. Recognizing the distinctive requirements of such projects, the research investigates the design and application of a specialized project management approach. Through a comprehensive analysis, this study presents key insights into the methodology’s efficacy and evaluates its impact within the unique context of a research and development setting. The findings contribute valuable perspectives to the evolving field of project management, particularly in the realm of digital exhibition development within innovative organizational environments.

A SYSTEMATIC LITERATURE REVIEW ON ROLE OF PROJECT MANAGEMENT IN DIGITAL FORENSICS INVESTIGATION

The landscape of digital forensics has evolved significantly with the advent of sophisticated cybercrimes and the proliferation of digital devices. Digital forensics is a rapidly evolving discipline, characterized by unique challenges such as rapidly changing technology, large volumes of data, and stringent legal requirements. Effective project management in this context is crucial to ensure that investigations are conducted efficiently, accurately, and in compliance with legal standards. This systematic literature review aims to comprehensively analyze the role of project management practices in optimizing digital forensics investigations. Using established search protocols and selection criteria, we identified and analyzed relevant studies published between 2016 until 2023 that explored the application of project management methodologies, challenges, and best practices within the context of digital investigations. By applying effective project management strategies, investigators can ensure efficient, accurate, and legally sound digital investigations, ultimately contributing to successful criminal prosecutions and civil litigation outcomes.

Кластерне управління проєктами: підходи, виклики та перспективи

The article examines cluster project management as a modern innovative approach to organizing and coordinating projects. It establishes that cluster management is based on the consolidation of interrelated projects into clusters for the joint use of resources, enhancing the efficiency of innovative potential utilization, and stimulating innovation. Cluster management allows for resource optimization, improved communication, the development of synergy between projects, and decision-making flexibility. The article analyzes the main types of clusters, including geographical, sectoral, vertical, and horizontal, and their impact on the success of project management and the productivity of individual projects. It also discusses the key advantages of cluster management, including resource optimization, improved coordination among participants, increased overall productivity, and flexibility. The study reveals that the cluster approach helps reduce costs, avoid duplication of efforts, promotes rapid market response, and allows organizations to effectively adapt to market challenges. In addition to the advantages, the article highlights the challenges organizations face when applying the cluster approach. These include the need to adapt to external changes, competition among cluster participants, and intellectual property protection, which can pose a threat to innovation. A new approach to cluster project management is proposed, which integrates vertical and horizontal clusters with modern digital technologies, such as monitoring and management tools. This approach enhances the effectiveness, resilience, and innovativeness of projects in the context of globalization and digitalization. The article also explores successful examples of clusters, such as the Silicon Valley technology cluster and the California wine cluster, which illustrate the benefits of collaboration within a cluster system. The article emphasizes the importance of flexibility and continuous updating of management methodologies to ensure the success of clusters in today's competitive environment.

Evaluating Environmental Risks and Waste Management in Chemistry Laboratories: Integrating FMEA and Cleaner Production

The issue of environmental waste production has increased substantially, and educational institutions have become initiating agents because of their research and practical activities. This research work has the following objectives: To assess and analyze the environmental aspects and environmental impacts created by the chemistry laboratories at the Institute of Health and Biotechnology (IHB) in Coari, Amazonas, using management methodologies. The FMEA and Cleaner Production (CP) approaches were applied for risk assessment and decision-making to identify risks and propose preventive measures. It becomes clear that the Environmental Risk Index (ERI) guides activities toward managing or reducing risk. In the 67 cases of the process, 32 of them were assessed as priorities, two of which are high risk and require action. The results include the following objectives for a Waste Management System (WMS) suited to the environment in the institution: compliance with current environmental laws or regulations and the creation of a safer environment for students to work and learn.

Corporate Technology for the Implementation of an Automated System: Functional, Technological and Methodological Aspects

The purpose of the study is to form a methodological justification for the pedagogical model of the individual trajectory of professional development of bachelors and masters for the implementation of the stages of creating an automated system based on the principles of continuity and experimental verification of its application in the educational process of the university in accordance with the requirements of IT departments, vendors and employers. It is shown that there is a gap between the socio-economic order for the training of IT specialists with high professional competence in the field of information systems and the insufficient level of targeted formation of their readiness to implement the stages of creating automated systems. In addition, the lack of methods and practical recommendations for the implementation of such systems in the context of maximum preservation of corporate standards and taking into account the requirements of Russian legislation, as well as specialists competent in these matters, determined the feasibility of conducting the study in two aspects - functional-technological and pedagogical.Methods and materials. The key methods are structural-functional and process modeling, interactive methods of organizing the educational process (project method, etc.). The research materials include a functional model for developing a corporate technology for implementing an automated system in the form of a function tree.Results. The results present a model of causes and factors determining the success of the projects for the implementation of the automatization systems. The role of the factor “qualification of the performing team” and the possibilities of the educational environment of the university to influence this factor are considered. The pedagogical aspect of the research problem is determined by the methodological justification for conducting students’ project work within a number of disciplines for training bachelors and masters in the field of “Applied Informatics”. The description of the structure and requirements for students’ projects gives an idea of the level of formed competencies, their consistency with the work functions of specialists in the field of information systems.Conclusion. At this stage of work on the research problem, its dual nature was determined. On the one hand, modern IT projects require their own technologies and management methodologies, which should change from project to project, so it is important to have practical recommendations for the development of corporate technology for the implementation of an automated system. On the other hand, one of the success factors of the project for the implementation of an automated system is the “Project Implementation Team”, its level of qualification. This factor is successfully determined and influenced by educational institutions responsible for training specialists in this field. In this direction, the project method plays a key role. It ensures the development of communication skills, the ability to independently pose a problem and develop a way to solve it together. Methodological aspects and practical results, generalizing the pedagogical model for training bachelors in the field of creating automated systems presented in the paper, as well as the development of corporate technology for the implementation of information systems, were reflected in three electronic multimedia educational publications: “Portfolio of Software Engineering Projects”, “Theory and Practice of IS Implementation”, “Theory and Practice of IS Maintenance”.

RESEARCH MODEL CANVAS: APPLICATION IN ACADEMIC RESEARCH PLANNING

This article deals with academic research planning and its structural nuances, as a fundamental part of the development of scientific research, in achieving its objectives and obtaining valid and reliable results. It inquires about its conventional form of construction and presentation through the textual document and aims to propose a new instrument for the planning of academic research. It discusses Design Thinking, Business Model Generation and Project Model Canvas, as project planning and management methodologies applied in other areas of knowledge that have as a common characteristic their conciseness, etymological basis and visual presentation format. It is structured on the methodology of the 4 (four) poles: epistemological, theoretical, morphological and technical. Finally, it presents the proposal of the Research Model Canvas as an innovative instrument for the planning of academic research, developed in a robust but concise way, based on the quadripolar methodology, in a single sheet or screen document called academic research canvas and its history of application in postgraduate disciplines and in a Research Group of the Federal University of Ceará.

Agile Project Management in the Pre-Construction Stage: Facing the Challenges of Projectification in the Construction Industry

Given the complex and dispersed nature of construction projects, which demand collaboration among varied experts, it is crucial to reevaluate project management and execution approaches to enhance their performance. Agile principles offer a path towards heightened responsiveness within tasks and processes, addressing the construction industry’s fast-paced nature and growing client demands for timely project completion. However, adopting new management methodologies, such as Agile, needs a significant cultural shift, enabling the cultivation of multi-skilled and self-managing teams. Projectification, a growing trend in contemporary society where more activities are managed as projects, has gained significant relevance in recent years. This study examines the application of Agile project management (specifically Agile Scrum methodology) during the pre-construction phase of a construction project through the lens of Projectification. As evidenced by the research results, applying the Agile methodology in the pre-construction phase may help enhance flexibility and collaboration, enabling teams to adapt quickly to evolving project requirements and unforeseen challenges. The findings demonstrate that Agile methodologies offer numerous benefits, including enhanced adaptability, flexibility, accountability, transparency, and teamwork. Additionally, there were significant reductions in time and costs, emphasizing the value of Agile practices in construction project management.

Methodology for 3D Management of University Faculties Using Integrated GIS and BIM Models: A Case Study

Three-dimensional virtual modeling is one of the tools being rapidly implemented in the construction industry, leading to the need for strategies based on intelligent 3D models of cities and/or digital twins, which allow simulation by interacting with their real physical counterparts, anticipating the outcomes of decision making. In practice, problems arise when creating and managing these twins, as different data, models, technology, and tools must be used, and they cannot all be combined as desired due to certain incompatibilities. On the other hand, today’s traditional building management demands a more optimized process to prevent errors and enable timely reactions to failures and defects. Managing and using a large amount of complex and disparate data are required, which is why the use of CMMS-type software is common (Computerized Maintenance Management System). However, such software is rarely designed for management in a 3D format, often due to the absence of three-dimensional models of the assets. This research aims to contribute to the technological development of the digitalization of the built environment, providing a simple methodology for generating and managing 3D models of cities. To achieve this, the tools and information useful for generating an integrated GIS 3D and BIM model, and for Computer-Aided Maintenance Management in a three-dimensional format (CMMS-3D), are identified. The final model obtained is used to optimize the three-dimensional management of a classroom building on the “Campus de Las Llamas” at the University of Cantabria in Spain. The results demonstrate that it is possible to integrate digital models with simple linking mechanisms between the existing tools, thus achieving an optimal three-dimensional management model.

The AI-Powered Evolution of Big Data

The rapid advancement of artificial intelligence (AI), coupled with the global rollout of 4G and 5G networks, has fundamentally transformed the Big Data landscape, redefining data management and analysis methodologies. The ability to manage and analyze such vast and varied datasets has exceeded the capacity of any individual or organization. This study introduces an enhanced framework that expands upon the traditional four Vs of Big Data—volume, velocity, volatility, and veracity—by incorporating six additional dimensions: value, validity, visualization, variability, volatility, and vulnerability. This comprehensive framework offers a novel and straightforward approach to understanding and addressing the complexities of Big Data in the AI era. This article further explores the use of ‘Big D’, an AI-driven, RAG-based Big Data analytical bot powered by the ChatGPT-4o model (ChatGPT version 4.0). This article’s innovation represents a significant advance in the field, accelerating and deepening the extraction and analysis of insights from large-scale datasets. This will enable us to develop a more nuanced and comprehensive understanding of intricate data landscapes. In addition, we proposed a framework and analytical tools that contribute to the evolution of Big Data analytics, particularly in the context of AI-driven processes.

High-Frequency Test of Electric Locomotive Arrester and Its PHM Design

The zinc oxide (ZnO) arrester is positioned on the locomotive roof, preventing other onboard electrical equipment from being harmed by external and internal overvoltages. A number of locomotive arrester burnout and explosion accidents occur during traction supply network harmonic resonance, causing train stoppages and power outages in the network. This study first carries out high-frequency tests to investigate the wide frequency band electrical characteristics of the locomotive arrester and prove that the arrester is prone to fault during resonance. Consequently, a prognostics and health management (PHM) methodology for locomotive arresters is proposed, providing online monitoring, fault warning, and health assessment, which is beneficial to the operation and maintenance of arresters in the future.

Comparison of STCR and Conventional Fertilizer Approaches for Improved Yield, Uptake and Nutrient Use Efficiency in Greengram

The present study investigates the effects of various fertilizer recommendation approaches on yield, nutrient uptake and nutrient use efficiency in greengram (BGS-9), conducted at ZARS, GKVK, Bengaluru during summer-2024. Soil test crop response (STCR) based fertilizer prescription equations were developed during kharif-2022 by following the methodology of Ramamoorthy et al., (1967) and were validated alongside post-harvest soil test value prediction equations. Results indicated that significantly higher seed yield (17.99 q ha⁻¹) was recorded in the STCR approach for the target yield of 15 q ha-1, where nutrients were applied through integrated approach based on actual soil test values (T3). The highest haulm yield (30.25 q ha⁻¹) was recorded in T2, which followed the STCR inorganic approach targeting 15 q ha⁻¹, based on predicted soil test values. Nutrient uptake results indicated that significantly higher nitrogen (110.73 kg ha⁻¹), phosphorus (11.39 kg ha⁻¹) and potassium (140.06 kg ha⁻¹) uptake were recorded in STCR treatments, particularly in those with an integrated approach. These treatments also validated better nutrient recovery and agronomic use efficiency compared to low, medium and high (LMH) and package of practice (POP) approaches. The findings confirm the accuracy of predicted soil test values in fertilizer prescription, indicating that repeated soil testing between crops may be unnecessary. The STCR based integrated approach provided balanced nutrient application, leading to optimal yield and nutrient uptake. This study highlights the effectiveness of STCR methodologies for efficient nutrient management and improved productivity in greengram.

Enhancing Patient Procedures through Process Improvement: A Systematic Review of Patient-Centered Care Approaches

Patient-centered care is increasingly recognized as a fundamental component of high-quality healthcare, emphasizing the need for healthcare systems to optimize patient procedures. This systematic review explores the role of process improvement methodologies in enhancing patient procedures while aligning with patient-centered care approaches. A comprehensive search of studies published between 2016 and 2023 was conducted across multiple databases, focusing on healthcare interventions using Lean, Six Sigma, and Total Quality Management methodologies. The findings demonstrate that process improvement techniques significantly reduce waiting times, procedural errors, and inefficiencies, ultimately improving patient satisfaction and safety. Moreover, integrating patient-centered care approaches ensures that patients’ needs, preferences, and values are central to healthcare decision-making, further enhancing procedural effectiveness. However, challenges such as resistance to change and resource limitations were noted. This review underscores the importance of combining process optimization with patient-centered care to achieve sustainable improvements in patient outcomes and procedural efficiency. Future research should focus on the long-term impact of these methodologies and the role of technology in further advancing patient-centered approaches.

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.