Organizational Resources Research Articles

Equity in School Principal Selection and Its Influence on Teachers’ Motivation to Pursue the Role

ABSTRACT The first of the critical components of selecting a qualified principal is related to the principal selection process and the second is related to the motivation of teachers to become principals. In the research, these two critical components were discussed together within the framework of Rawl’s theory of socıal justıce. According to the theory, the organization of public resources and services in a way that provides fair and equal opportunities for each individual is important for the development of a sense of justice and trust in individuals. Hermeneutic phenomenological design was used in the research. The focus was on the meanings that participants who experienced the principal selection process created about their experiences. Semi-structured interviews were conducted with five teachers, five vice principals and 10 school principals. The research results showed that injustice in the selection of principals in Türkiye is considered a common problem, and that equity-based problems in the selection of school principals are reflected in teachers’ motivation to become principals. It has been suggested that selection policies based on equity should be developed by ensuring the participation of teachers and school administrators in decisions that affect the career choices of school leaders and by taking into account master-apprentice relationships in the selection of principals.

Analysis for the Formulation Of A Project for the Management of Cybersecurity Governance for the Optimization of Resources in an Organization

Persistent Challenges in Cybersecurity Governance Project Formulation: A Case Study in Ecuador and Beyond. The formulation of projects aimed at managing cybersecurity governance to optimize organizational resources presents persistent challenges both in Ecuador and globally. Among the most prevalent issues are: A lack of knowledge in identifying relevant standards and policies, Insufficient human resources with expertise and training in cybersecurity, and Deficiencies in norms, prototypes, and appropriate project management models for cybersecurity governance. The objective of this research is to perform the analysis for the formulation of a project for managing cybersecurity governance to optimize resources in an organization. A deductive approach and exploratory research methods were employed to analyze relevant documents and literature. Key Findings: Indicators to support the formulation of cybersecurity governance projects, Proposed solutions for project formulation in cybersecurity governance, Identification of relevant stakeholders essential for project development and resource optimization, Algorithm development utilizing flowchart techniques for project formulation. Conclusions: Simulation results, evaluated through the Likert scale and expert judgment, revealed varying levels of satisfaction: Scenarios 1 and 3: Satisfaction below 75% – indicating dissatisfaction, Scenarios 2 and 4: Satisfaction between 76% and 94% – indicating satisfaction, Scenario 5: Satisfaction between 95% and 100% – indicating high satisfaction. It is concluded that to ensure successful project formulation, all key stakeholders must achieve satisfaction levels exceeding 75%.

Organizational Management Implementation in Jumat Berjihat Activities as Student Character Education

This research aims to examine the implementation of the organizational management of the "JUMAT BERJIHAT" character education program at SMP Negeri 1 Turi, Lamongan, where the existence of this program was motivated by the phenomenon of juvenile delinquency cases. This research uses descriptive qualitative methods and is strengthened by management theory by James A. F. Stoner and Charles Wankel. The results of this research show that the character education program "JUMAT BERJIHAT" at SMP Negeri 1 Turi, Lamongan, runs smoothly. The students are thrilled with this program because it can improve the religious spirit, and the parents are also happy because there are positive changes in their children and teachers. Teachers at SMP Negeri 1 Turi, Lamongan, were very united in participating in this activity. However, initially, the students at SMP Negeri 1 Turi, Lamongan, still needed to get used to this activity, but now they are enthusiastic about this program. Organizational management has also been implemented with a process structure of planning, organizing, leadership and controlling organizational efforts and the use of all other organizational resources to achieve organizational goals.

Work alienation through the dialectical lens

AbstractWork alienation (WA) is on the rise, especially in today's era of globalization and digitalization. However, its foundational ties to Marx and Hegel's conceptualizations are often overlooked. Despite extensive scholarly examination across disciplines, the conceptualization of WA remains plagued by a lack of consensus concerning its definitions, processes, and operationalizations. This systematic literature review identifies four major definitional approaches and their inherent limitations. First, equating WA with its antecedents diverts attention from its core mechanisms. Second, definition‐by‐negation leads to an underspecified construct, raising questions about empirical congruence. Third, defining WA through its correlates risks confusing it with different concepts. Fourth, expanding the construct of WA, to include distant constructs with surplus meanings, camouflages WA's essence, hindering a deeper understanding of the phenomenon. To enhance conceptual clarity, this paper aims to clarify WA's definitions, measurements, guiding theories, triggers, ramifications, and coping strategies within organizational contexts. Drawing from Hegel and Marx's dialectical lens, we compose a definition centered on a three‐faceted self‐other dialectic. Also, we present a three‐stage developmental model, illustrating how WA develops and manifests itself as the relationships among the self, others, and work‐life contexts evolve. By integrating elements from various management theories, we offer a fresh perspective for new research aimed at preventing WA. By addressing the theoretical and practical challenges that may arise, we emphasize the crucial role of Human Resource Management and team leaders in recognizing and mitigating WA to preserve vital individual, team, organizational and societal resources.

Development of spiritual and intellectual qualities in future specialists in the field of management

The article is devoted to the analysis of the importance of the development of spiritual and intellectual qualities in future specialists in the field of management and their influence on managerial activity. In the conditions of today's dynamic business environment, managers have not only a high level of intellectual competence, but also the ability to self-regulate, emotional stability, make ethical decisions and create a healthy organizational culture. Special attention is paid to the analysis of theoretical approaches to the development of spiritual-intellectual qualities, such as emotional intelligence, transcendental leadership, the model of moral management, the concept of a whole person, and managerial ethics. Because these qualities integrate intellectual abilities, moral, ethical and emotional characteristics, they contribute to the formation of sustainable and ethical leaders who are able to interact effectively with the team, provide successful leadership and maintain moral standards in organizations. The article examines the main aspects that determine the role of spiritual and intellectual qualities in the professional development of future managers: the ability to reflect, emotional stability, moral responsibility and harmonious interaction with others. Research confirms that these qualities largely determine management decisions, leadership style, and team effectiveness. Also, the author emphasizes the importance of forming such qualities in the process of training future specialists, as it contributes not only to their professional competence, but also to moral maturity, which is necessary for building a healthy organizational culture and successful management in conditions of instability. The article also emphasizes the integration of spiritual and intellectual aspects into the educational process of higher educational institutions, which will increase the competitiveness of future managers in the labor market. Pedagogical strategies and methods that can be implemented to develop these qualities in students of higher education are considered separately. The formation of spiritual and intellectual qualities is an important component of professional training, which contributes to the creation of leaders who are able to adapt to changes and effectively manage human resources in organizations.

Blockchain-Enabled Security Framework against Ransomware Attacks Using Machine Learning

In this presentable paper, we first describe and analyze the background of a certain discipline by reviewing the recent scientific literature on this subject and summarizing it about issues of the new research. Ransomware through reasoning can also be considered the last significant stage for cyber extortion blocking access to the resources of the target organization until submission by the latter to certain coercion or payment. There is a separate class of malware known as ransomware. When a computer or some other device suffers a ransomware malware attack, such device is either locked/held hostage or the data within the device is encrypted. Ransom demands (usually a small sum) are placed on the victims for providing the data order for the data translation in the form of a decryption key. Due to these attacks, surveillance means and protective programs are recommended given the prevention of ransomware epidemic outbreaks. The most vulnerable targets are probably those classed as organizations, such as financial institutes and healthcare sectors. Blockchain technology prevents tempering which makes it much more effective than the traditional centralized approach of data storage. Such aspects of blockchain technology can enhance the security perimeter for the detection and prevention of ransomware attacks even more. The objectives of the research are to demonstrate the extent of the problem and to show how problems are identifiable within datasets, which is through the application of machine learning. In this paper, we propose a new security framework that applies machine learning to prevent ransomware attacks and is based on the principles of blockchain technology.

Secure cloud computing: leveraging GNN and leader K-means for intrusion detection optimization

Over the past two decades, cloud computing has experienced exponential growth, becoming a critical resource for organizations and individuals alike. However, this rapid adoption has introduced significant security challenges, particularly in intrusion detection, where traditional systems often struggle with low detection accuracy and high processing times. To address these limitations, this research proposes an optimized Intrusion Detection System (IDS) that leverages Graph Neural Networks and the Leader K-means clustering algorithm. The primary aim of the study is to enhance both the accuracy and efficiency of intrusion detection within cloud environments. Key contributions of this work include the integration of the Leader K-means algorithm for effective data clustering, improving the IDS’s ability to differentiate between normal and malicious activities. Additionally, the study introduces an optimized Grasshopper Optimization algorithm, which enhances the performance of the Optimal Neural Network, further refining detection accuracy. For added data security, the system incorporates Advanced Encryption Standard encryption and steganography, ensuring robust protection of sensitive information. The proposed solution has been implemented on the Java platform with CloudSim support, and the findings demonstrate a significant improvement in both detection accuracy and processing efficiency compared to existing methods. This research presents a comprehensive solution to the ongoing security challenges in cloud computing, offering a valuable contribution to the field.

The Organizational Culture of the Royal Thai Police Affecting Performance Competency of Police Officers

Background and Objectives: Employee behaviors, values, and the workplace are shaped by organizational culture, which encourages creativity and teamwork. Employee satisfaction, general productivity, and the organization's capacity for change adaptation are all directly impacted. This study aims to 1) examine the organizational culture of the Royal Thai Police and its impact on police officers' operational performance, 2) analyze approaches to developing organizational culture to enhance work efficiency, and 3) propose organizational culture strategies that positively influence police officers' performance. Methodology: This qualitative research collected data through in-depth interviews with 20 police officers divided into four groups: investigation, discipline, administration, and information technology. Data analysis focused on uncovering facts and systematically summarizing findings, supported by theoretical frameworks. Results: (1) Organizational culture that enhances police officers' operational efficiency includes leaders with strong leadership, vision, and capability to drive the organization towards its goals. Continuous training and development were also critical for improving work quality. (2) Strategies for developing organizational culture emphasize boosting morale, such as revising compensation and benefits to align with current economic conditions, ensuring fair promotion practices, and efficiently managing organizational resources, including personnel, budgets, and equipment. Conclusion: Monitoring and evaluating work performance while considering quality of life and fair compensation help motivate and encourage officers to perform their duties willingly and with commitment, ultimately driving the organization toward success and sustainability.

Planning and control of the marketing budget for the promotion of additional professional education programs

Subject. The article explores planning and control of the marketing budget for additional professional education programs. Objectives. The focus is on the analysis of methodological approaches to planning the marketing budget for the implementation of additional professional education programs and justification of the use of the fuzzy logic method to control selected promotion strategies for designated programs and their marketing budgets. Methods. The study employs methods of analysis, structuring, deduction, and modeling of management processes. Results. I built a decision tree model on the structure of the marketing budget, considering the limited resources of educational organization of higher education, described the integration process of the model of educational service life cycle into the adaptive marketing process, offered a methodological approach to substantiating the application of basic action strategies in the implementation of additional professional programs and the marketing budget formation. Conclusions. The use of the fuzzy logic method is advisable to control the selected promotion strategies for individual programs of additional professional education and their marketing budgets.

Enhancing Data Quality through Automated Data Profiling

Data profiling is now a popular solution for automating data accuracy and data quality and is characterized by increased reliability of datasets. This paper briefly discusses the difficulties of achieving high data quality, the importance of automation in overcoming these difficulties, and the methods and procedures of data profiling. Automated profiling through data validation thus leads to improved decision making, especially through the unearthing of gaps and contradiction as well as supporting data management as a critical component of compliance. The paper also demonstrates through the use of interesting case examples and illustrating applications how profiling can open up the full utility of organisational data resources.

Explore the drivers of e-commerce adoption by SMEs

This study investigates the impact of e-commerce on the performance of SMEs in Taiwan, focusing on key factors that drive successful adoption. The analysis considers management support, IT infrastructure, organizational readiness, and external environment factors. Multiple regression analysis was conducted to test the hypotheses. Findings indicate that management support is the primary driver of e-commerce adoption, followed by IT infrastructure and organizational readiness, while the external environment has a smaller effect. Positive managerial attitudes, technological improvements, and organizational resource readiness are essential for e-commerce adoption. Government policies, socio-cultural alignment, and an effective legal framework also play significant roles. These findings provide insights for business managers and recommendations for policymakers to support SME growth in the digital economy.

The Impact of Energy-Efficient Technologies on the Development of the Agricultural Industry

The increase in the population as a whole gradually requires solving the issues of continuous development of the agro-industrial complex in all directions and components. This development is accompanied by an increase in energy consumption, in the total balance of which electricity occupies a significant share. The purpose of this study is to develop a mathematical model of the use of infrared means for heating agro-industrial premises, which affects the formation of energy-saving and energy-saving processes of enterprises. The agrarian potential of Ukraine was analyzed and compared with other countries of the world for awareness, analysis and relevant conclusions regarding energy consumption and frugality. This helped, based on calculations and foreign experience, to prove the effectiveness of the proposed mathematical model. And its empiric results of application in the form of the use of a copper plate allowed to prove efficiency due to the reduction of electricity consumption in the conditions of maintaining the temperature regime of industrial-type premises not higher than 22–26 0C when the equipment is operating at an output power of 40 W. The results of the research are the development of the existing theoretical foundations of ensuring the effective use of energy resources in agricultural organizations and can be used by economic entities and regional authorities for the purpose of making informed decisions in the field of energy-saving policy development in the agricultural sector.

COLLABORATIVE PROJECT MANAGEMENT TOOL

This project presents a robust Collaborative Project Management Tool developed using the Django framework to streamline project tracking and user management processes[1]. The system incorporates essential features, including user authentication for registration, login, profile updates, and secure password management, alongside a user-friendly dashboard that enhances navigation and usability. Users can create and manage projects [5], assign tasks,[5] and monitor progress through a comprehensive project history. Additionally, the platform supports the generation of project reports by converting HTML content into PDF format for printing and archival purposes [4]. A centralized admin panel allows administrators to oversee user authentication and authorization while managing project lifecycles[9]. Admins are empowered to modify project statuses [5], such as transitioning projects from "Started" to "Completed," ensuring accurate and up-to-date records [5]. The tool is built using Django for backend development [1], and employs technologies like HTML, CSS, JavaScript, and Bootstrap for a responsive frontend [3]. Libraries such as XHTML facilitate seamless PDF generation [4], while Django’s built-in authentication[1] system ensures secure user management. The database layer relies on SQLite (SQLite3) for robust data storage. By prioritizing accessibility, functionality, and ease of use, this system serves as a valuable resource for teams and organizations, fostering collaboration and ensuring efficient project management [2].

Internal organizational factors influencing ICT adoption for sustainable growth

AbstractOrganizations today depend increasingly on the effective adoption of Information and Communication Technology (ICT) to ensure sustainable growth in a competitive global landscape. However, research on the internal factors influencing successful ICT adoption, especially through case studies, remains limited. This study seeks to address this gap by exploring the internal factors such as organizational culture, leadership styles, employee attitudes, resource availability, user perceptions, and peer influence that drive ICT adoption and align with organizational strategies. Drawing on a literature review and qualitative case study analysis of peer-reviewed articles, books, and reports published from 2003 to 2024, the study examines how these factors impact ICT integration and contribute to long-term success. Case studies from leading organizations illustrate how ICT strategies are implemented effectively in diverse contexts. The study is guided by theoretical frameworks, including Innovation Diffusion Theory (IDT) and the Technology Acceptance Model (TAM), extending their application to internal organizational dynamics. The findings extend existing theoretical frameworks such as Innovation Diffusion Theory (IDT) and Technology Acceptance Model (TAM) by applying them to internal organizational contexts, illustrating the role of leadership, culture, and resources in ICT adoption. Practically, this study provides recommendations for developing an ICT-driven culture, aligning technology initiatives with strategic goals, and investing in infrastructure to overcome adoption barriers and create sustainable technological progress in a globalized society.

Adoption of Big Data Analytics and Artificial Intelligence Among Hospitality and Tourism Companies: Perceive Performance Perspective

ABSTRACT The objective of the study was to develop a model of Big Data Analytics and Artificial Intelligence (BDA-AI) technology acceptance in the hospitality and tourism industry in Malaysia. The model developed in this study is Comprehensive Theory of Use and Adoption of Technology (CTUAT). This is an empirical and quantitative study based on a unified model developed through a massive literature review. The study adopted a cross-sectional online survey among 343 owners/managers of tourism and hospitality firms. Applying structural equation modeling and using AMOS software, data was purified and analyzed. The study identified that strategic orientation, performance effectiveness; top management support, organizational resources, employee readiness, and technology expectancy are the predictors of the behavioral intention of BDA-AI technology acceptance except for innovation on behavioral intention.

How German football clubs address antisemitism: organisational structures and communication

ABSTRACT In recent years, various studies have documented the regular occurrence of antisemitism in European football. At the same time, football associations publicly take a stand against discrimination, implement targeted measures and encourage big clubs to do the same. Such actions by football clubs can be interpreted either as rational ‘business reasoning’ in the context of Corporate Social Responsibility (CSR) or as more informal processes when considering clubs as member-run voluntary organisations. Given the heterogeneous organisational structures and resources of clubs in German football, the question of which clubs carry out which types of activities against antisemitism arises. To answer this, a quantitative document analysis of all websites of clubs in the first four divisions of German football was carried out, considering all activities and statements regarding antisemitism (N = 137). The results reveal that the reported engagement is strongly related to the resources and organisational structures, such as club size, league affiliation, CSR organisation, legal structure, and formal club purpose. Furthermore, we conducted a critical discourse analysis (CDA) of statements and measures dealing with antisemitism on the respective club websites to identify discursive practices and dominant narratives in the communication on antisemitism. Policy recommendations for German and European football authorities can be derived: On the one hand, further professionalisation in the context of CSR is needed to increase the probability of targeted measures. On the other hand, communication could be designed with more depth of content, for example by clarifying that remembrance work must be linked to the fight against current antisemitism.

USING SUPPORT VECTORS TO BUILD A RULE-BASED SYSTEM FOR DETECTING MALICIOUS PROCESSES IN AN ORGANISATION'S NETWORK TRAFFIC

The growing complexity and sophistication of cyberattacks on organisational information resources and the variety of malware processes in unprotected networks necessitate the development of advanced methods for detecting malicious processes in network traffic. Systems for detecting malicious processes based on machine learning and rule-based methods have their advantages and disadvantages. We have investigated the possibility of using support vectors to create a rule-based system for detecting malicious processes in an organisation's network traffic. We propose a method for building a rule-based system for detecting malicious processes in an organisation's network traffic using the distribution data of the relevant features of support vectors. The application of this method on real CSE-CIC-IDS2018 network traffic data containing characteristics of malicious processes has shown acceptable accuracy, high clarity and computational efficiency in detecting malicious processes in network traffic. In our opinion, the results of this study will be useful in creating automatic systems for detecting malicious processes in the network traffic of organisations and in creating and using synthetic data in such systems.

Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning

Large Language Models (LLMs) have become instrumental in advancing software engineering (SE) tasks, showcasing their efficacy in code understanding and beyond. AI code models has demonstrated their value not only in code generating but also in defect detection, enhancing security measures, and improving overall software quality. They are emerging as crucial tools for both software development and maintaining software quality. Like traditional SE tools, open-source collaboration is key in realising the excellent products. However, with AI models, the essential need is in data. The collaboration of these AI-based SE models hinges on maximising the sources of high-quality data. However, data especially of high quality, often holds commercial or sensitive value, making it less accessible for open-source AI-based SE projects. This reality presents a significant barrier to the development and enhancement of AI-based SE tools within the software engineering community. Therefore, researchers need to find solutions for enabling open-source AI-based SE models to tap into resources by different organizations. Addressing this challenge, our position paper investigates one solution to facilitate access to diverse organizational resources for open-source AI models, ensuring privacy and commercial sensitivities are respected. We introduce a governance framework centered on federated learning (FL), designed to foster the joint development and maintenance of open-source AI code models while safeguarding data privacy and security. Additionally, we present guidelines for developers on AI-based SE tool collaboration, covering data requirements, model architecture, updating strategies, and version control. Given the significant influence of data characteristics on federated learning, our research examines the effect of code data heterogeneity on federated learning performance. We consider 6 different scenarios of data distributions and include 4 code models. We also include 4 most common federated learning algorithms. Our experimental findings highlight the potential for employing federated learning in the collaborative development and maintenance of AI-based software engineering models. We also discuss the key issues to be addressed in the co-construction process and future research directions.

Employee engagement in Ghana’s higher education institutions: a systematic literature review

Employee engagement has become a prominent topic in workplace discourse, particularly within academia, yet the academic literature on this subject remains relatively limited, especially in the context of Ghana. This paper seeks to address this gap by examining the factors contributing to employee engagement among academics and exploring their interrelationships for enhanced engagement of faculty. This was done through a comprehensive literature review, drawing on peer-reviewed journal articles, working papers, textbooks, and other relevant published sources, as well as online databases, including EBSCO Business Source Premier, Emerald Full Text, Google Scholar, Sci-Space, Science Direct, Sci-Hub, and Scopus. This study identifies key factors influencing employee engagement in higher education institutions as co-worker relationships, effective supervision, confidence in management, meaningful work roles, perceived organisational politics, organisational resources, effective leadership, and compensation and monetary benefits. The findings reveal a concerning trend of a higher number of disengaged or unengaged employees compared to those who are actively engaged. Furthermore, the consequences of employee engagement identified in the literature include job satisfaction, employee retention, and organisational citizenship behaviours, while challenges and barriers to engagement include poor management-union relationships, poor work environments, poor management practices, and inadequate communication. This paper contributes to the understanding of employee engagement in academia and provides insights for improving engagement levels in higher education institutions in Ghana.

THE ROLE OF URBAN SCULPTURE IN FORMING THE MEANING OF IDENTITY IN MODERN URBAN PLANNING

The settlements of the Ukrainian Carpathians play an important role in preserving the natural and cultural resources of the region, however, due to the growing popularity of the Carpathians as a tourist destination, they are increasingly facing a number of challenges related to environmental degradation, excessive anthropogenic load, ecosystem fragmentation, and lack of effective infrastructure. Environmental factors and urban-ecological interactions significantly affect the spatial development of both individual settlements and territorial communities or entire regions. In modern conditions, the need to integrate environmental aspects into urban planning documentation has matured, in order to ensure sustainable development of territories, improve the ecological situation and ensure optimal viability of settlements. It is precisely the understanding of the mechanism of urban-ecological interactions, the simplest example of which is the interaction of natural and anthropogenic systems, in our opinion, will allow us to solve the problem of spatial planning of urban ecosystems, rational use of nature, ensuring ecological safety and balance. One of the main urban-ecological tasks can be considered the study of the interaction of the urbanized and natural environment, which are of decisive importance and affect the quality of life of the population in specific urban-planning conditions, that is, they form a system – urban-social ecosystem. The correct spatial-functional approach allows for the best preservation of natural resources, prevention of ecosystem fragmentation, and limitation of human impact on environmentally sensitive areas. Spatial planning is an extremely important tool for the preservation and development of mountain regions, taking into account specific physical, geographical and ecological conditions - altitude, relief, climate. The use of spatial plans can lead to a more rational use and organization of land, natural and cultural resources, the implementation of an ecosystem approach to biodiversity conservation, as well as the creation of a more effective planning system for mountain settlements. An ecological approach to the spatial organization of settlements in the Carpathian region is the basis for the development of scientifically based recommendations for their urban development, preservation of ecological and cultural uniqueness and improvement of the quality of life of the local population.