Management Development Research Articles

Critical Analysis of Curriculum Management Development in 21st Century Islamic Education

Dalam menghadapi dinamika global abad ke-21, pendidikan Islam memerlukan transformasi yang mendalam, khususnya dalam pengembangan manajemen kurikulum. Artikel ini menyajikan telaah kritis terhadap pendekatan-pendekatan yang diambil dalam pengelolaan kurikulum pendidikan Islam pada era ini. Metode Penelitian: Penelitian ini mengadopsi pendekatan analisis literasi dan studi pustaka sebagai landasan utama. Dengan merinci kerangka pemikiran dan konsep-konsep kunci, kami mengeksplorasi peran manajemen kurikulum dalam memenuhi kebutuhan pendidikan Islam di era modern. Pendekatan interdisipliner juga digunakan untuk mengintegrasikan perspektif-perspektif yang beragam. Hasil penelitian menunjukkan bahwa pengembangan manajemen kurikulum pendidikan Islam pada abad ke-21 merupakan kebutuhan mendesak. Tantangan utama yang diidentifikasi melibatkan integrasi teknologi modern, peningkatan literasi digital, dan penyesuaian konten kurikulum untuk mencerminkan realitas global. Adapun temuan signifikan melibatkan perlunya transformasi dalam pendekatan pembelajaran, di mana kreativitas, kritis berpikir, dan literasi kultural menjadi fokus utama. Manajemen kurikulum harus mempertimbangkan aspek-aspek ini untuk memastikan relevansi pendidikan Islam dengan tuntutan zaman. Selain itu, hasil penelitian menyoroti kebutuhan akan pendekatan interdisipliner dalam mengembangkan kurikulum, memungkinkan integrasi antara ilmu-ilmu agama, sains, teknologi, dan humaniora. Ini dapat menciptakan lulusan yang tidak hanya terampil dalam aspek keagamaan, tetapi juga mampu berkontribusi dalam mengatasi tantangan kompleks dalam masyarakat global saat ini. Secara keseluruhan, telaah kritis terhadap pengembangan manajemen kurikulum pendidikan Islam abad ke-21 menggarisbawahi perlunya inovasi, adaptasi, dan kesiapan untuk menghadapi perubahan dinamis dalam pendidikan dan masyarakat.

Research on the Management and Development Strategy of the Zibo Ceramic and Glass Museum

Purpose – In contemporary China, the promotion of the cultural and art industry is advocated. The cultural and art industry is rapidly expanding into various fields in China with increasingly strong momentum, establishing itself as a leader in Chinese art. accompanied by the quiet rise of culture and art, art museums in China have also emerged. there is a growing demand for the construction of cultural and art spaces by all sectors of society. Design/Methodology/Approach – Based on the management development strategy of the Zibo Ceramic and Glass Museum, according to the cultural and artistic characteristics and style of Zibo, this research adopts the following research methods when writing. the researcher uses the literature research method, by reading a large amount of ancient and modern Chinese and foreign literature, from which it can be glimpsed which aspects of the Zibo Ceramic and Glass Museum can absorb and learn from. Findings – Under the trend of China increasingly valuing the empowerment of the cultural and art industry, people are increasingly welcoming the cultural and art industry with an open attitude, and cultural and creative museums to appreciate and feel the sensory and spiritual enjoyment that the artistic atmosphere brings to them. Research Implications – This study focuses on analyzing the management development strategy of the Zibo Ceramic and Glass Museum. this research focuses on demonstrating the current development status of the Zibo Ceramic and Glass Museum and the setbacks encountered in the development process.

Mapping the Nexus: A County-Level Analysis and Visualization of Iowa’s Food–Energy–Water Systems

This study presents a county-level analysis and visual assessment of Iowa’s Food–Energy–Water systems (IFEWs), focusing on the interdependencies of agricultural practices, nitrogen management, and energy production. We use data from the USDA National Agricultural Statistics Service and other sources to assess cropland-nitrogen sources, animal-based-nitrogen contributions, and ethanol production capacity across Iowa’s counties. Our methodology leverages geoprocessing and interpolation tools to address data availability challenges and refine nitrogen surplus (Ns) estimates. The results reveal spatial–temporal dynamics of cropland-nitrogen, quantify non-point nitrogen sources at the county level, and evaluate the impact of energy systems on the IFEWs balance. We discuss the implications of our findings for sustainable agriculture, environmental management, and energy production in Iowa. The study highlights the need for integrated approaches to address the complex interactions within the IFEWs and informs policy development for sustainable resource management.

A systematic review of trustworthy artificial intelligence applications in natural disasters

Artificial intelligence (AI) holds significant promise for advancing natural disaster management through the use of predictive models that analyze extensive datasets, identify patterns, and forecast potential disasters. These models facilitate proactive measures such as early warning systems (EWSs), evacuation planning, and resource allocation, addressing the substantial challenges associated with natural disasters. This study offers a comprehensive exploration of trustworthy AI applications in natural disasters, encompassing disaster management, risk assessment, and disaster prediction. This research is underpinned by an extensive review of reputable sources, including Science Direct (SD), Scopus, IEEE Xplore (IEEE), and Web of Science (WoS). Three queries were formulated to retrieve 981 papers from the earliest documented scientific production until February 2024. After meticulous screening, deduplication, and application of the inclusion and exclusion criteria, 108 studies were included in the quantitative synthesis. This study provides a specific taxonomy of AI applications in natural disasters and explores the motivations, challenges, recommendations, and limitations of recent advancements. It also offers an overview of recent techniques and developments in disaster management using explainable artificial intelligence (XAI), data fusion, data mining, machine learning (ML), deep learning (DL), fuzzy logic, and multicriteria decision-making (MCDM). This systematic contribution addresses seven open issues and provides critical solutions through essential insights, laying the groundwork for various future works in trustworthiness AI-based natural disaster management. Despite the potential benefits, challenges persist in the application of AI to natural disaster management. In these contexts, this study identifies several unused and used areas in natural disaster-based AI theory, collects the disaster datasets, ML, and DL techniques, and offers a valuable XAI approach to unravel the complex relationships and dynamics involved and the utilization of data fusion techniques in decision-making processes related to natural disasters. Finally, the study extensively analyzed ethical considerations, bias, and consequences in natural disaster-based AI.

Dynamic efficiency of tradable license system with time-flexible quantities

Tradable license system (TLS) is a fundamental policy instrument for environmental management or resource development. We construct a muti-periods dynamic model with respect to a general TLS with three time-flexible quantity mechanisms: fixed quantity, solely banking, and banking and borrowing, in which the firm maximizes its discounted net benefits over the horizon by selecting an optimal license usage by license trading across agents or transferring across periods. The dynamic efficiency performance and price dynamics in TLS are respectively examined. The decentralized equilibrium in TLS with fixed quantity cannot achieve benefit-maximum unless initial license allocation is efficient. The decentralized behaviors in TLS with solely banking lead to benefit-maximum and price dynamics follows the Hotelling rule, if and only if the cumulative initial license allocation in each period is not less than the optimum, while TLS with banking and borrowing can achieve the optimal outcome and price dynamics follows Hotelling rule regardless of the initial allocation. The findings highlight the synergistic effects between the initial allocation of licenses and time-flexible quantity mechanisms in TLS design.

Analisis Program Magang Jepang Dalam Penciptaan Lapangan Kerja Baru (Studi Pada Dinas Tenaga Kerja dan Transmigrasi Provinsi Jawa Timur)

Qualitative research which aims to answer questions about how the Japanese internship program is implemented at the East Java Province Manpower and Transmigration Service and how effective the Japanese internship program is in creating new jobs.The research method used is a descriptive qualitative approach with a type of research study on objects. Data collection was carried out by interviews with informants in this research, namely the head of the management development section of the East Java Provincial Manpower and Transmigration Service, the selection committee for the Japanese internship program, Japanese post-internships.The results of this research conclude that the implementation of the Japanese internship program can be said to be effective because it is in accordance with existing regulations but there are few obstacles when conducting outreach to each district or city with regional autonomy. Regarding the effectiveness of the Japanese internship program in creating new jobs when they return to Indonesia, based on research results, Japanese internship activities can have a positive impact, namely being able to create independent entrepreneurs in both business and service sectors and having employees, and providing more effective work opportunities by utilizing certificates. to apply for jobs in Indonesia, both private and public.

Analyzing the Challenges and Barriers to Develop State Civil Apparatus Competency Through Talent Management Development After the Release of the National Succession Planning System

Indonesia has transitioned from a public service management model to one to improve service delivery and competitiveness. However, this change faces challenges of efficiency in processes, human resource structures, and bureaucracy. Public distrust and State Civil Apparatus (ASN) non-compliance with the flow of reform pose challenges to increasing ASN competency and leadership reform. The implementation of breakthroughs in the development of public services still cannot prevent corruption both in regional and central government. Corruption does not only occur in the fiscal sector but also the ‘buying and selling’ positions due to the ASN’s low integrity. Regulation of the Minister of State Apparatus Empowerment and Bureaucratic Reform of the Republic of Indonesia Number 38 of 2017 concerning Competency Standards for State Civil Apparatus Positions requires that a State Civil Apparatus must have technical, managerial, and socio-cultural competence, which is constrained by the application of rules related to functional positions and career development, the institutionalization of the ASN’ workplace, and development of ASN training institutions. These constraints influence the ASN’s desire to develop. Thus, an integrated succession planning system for competency development which involves public participation is needed to prevent corruption, collusion, and nepotism in its implementation.

Agri-Food Management and Sustainable Practices: A Fuzzy Clustering Application Using the Galois Lattice

The objective of this study was to generate groups of agri-food producers with high affinity in relation to their sustainable waste management practices. The aim of conforming these groups is the development of synergies, knowledge management, and policy- and decision-making by diverse stakeholders. A survey was conducted among the most experienced farmers in the region of Nuevo Urecho, Michoacán, Mexico, and a total of eight variables relating to sustainable waste management practices, agricultural food loss, and the waste generated at each stage of the production process were examined. The retrieved data were treated using the maximum inverse correspondence algorithm and the Galois Lattice was applied to generate clusters of highly affine producers. The results indicate 163 possible elements that generate the power set, and 31 maximum inverse correspondences were obtained. At this point, it is possible to determine the maximum number of relationships, called affinities. In general, all 15 considered farmers shared the measure of revaluation of food waste and 90% of the farmers shared affinity in measures related to ecological care and the proper management of waste. A practical implication of this study is the conformation of highly affine clusters for both policy and strategic decision-making.

Global challenges of the mining industry: Effect of job insecurity and reward on turnover intention through job satisfaction

Orientation: This research focusses on the dynamics of job insecurity, job satisfaction and employee turnover intentions in the Indonesian mining industry facing significant global and local economic challenges.Research purpose: This research aims to investigate the influence of job insecurity and rewards on the turnover intentions of employees with job satisfaction as a mediating variable in the mining industry of Indonesia.Motivation for the study: This research is based on the observation that the mining industry faces high turnover rates, which can be detrimental to company operations and sustainability.Research approach/design and method: This research uses a quantitative approach by collecting data through surveys distributed to employees in various mining industries. The population in this study were employees of the mining industry in PT Vale Indonesia, totalling 3044 employees, and a sample of 230 respondents was taken at random.Main findings: The main findings show that job insecurity negatively influences job satisfaction, increasing employee turnover intentions. However, when companies implement a fair and adequate reward system, the negative impact of job insecurity on job satisfaction and turnover intentions can be minimised.Practical/managerial implications: The practical implication of this research is the importance of the mining industry developing human resource management strategies that not only focus on competitive compensation but also create a stable and satisfying work environment.Contribution/value-add: This research provides an important contribution to the development of human resource management by highlighting the mediating role of job satisfaction in the relationship between job insecurity and turnover intentions. These findings provide new insights for companies in overcoming employee retention challenges with a holistic approach and good reward system.

EVALUATION OF CROSS RIVER NATIONAL PARK AS A CATALYST FOR COMMUNITY LIVELIHOOD SUSTENANCE, NIGERIA

This research focused on evaluation of Cross River National Park as a catalyst for community livelihood sustenance, Nigeria. Interviews and Focus Group Discussions were used to obtained primary data. Reconnaissance survey was conducted for one month in the National park to assess the situation on ground and with the aid of a check-list. The Pearson Product Moment Correlation Coefficient was used to analyzed the data obtained from the study. Results findings shows that the current programs aimed at the development of the park's management were insufficient. To mitigate tensions between the park management and the communities, it is imperative to explore alternative livelihood options, with livestock rearing emerging as a viable avenue. This approach would provide the communities with improved economic opportunities.

Quantification of litter in cities using a smartphone application and citizen science in conjunction with deep learning-based image processing

Cities are a major source of litter pollution. Determination of the abundance and composition of plastic litter in cities is imperative for effective pollution management, environmental protection, and sustainable urban development. Therefore, here, a multidisciplinary approach to quantify and classify the abundance of litter in urban environments is proposed. In the present study, litter data collection was integrated via the Pirika smartphone application and conducted image analysis based on deep learning. Pirika was launched in May 2018 and, to date, has collected approximately one million images. Visual classification revealed that the most common types of litter were cans, plastic bags, plastic bottles, cigarette butts, cigarette boxes, and sanitary masks, in that order. The top six categories accounted for approximately 80 % of the total, whereas the top three categories accounted for more than 60 % of the total imaged litter. A deep-learning image processing algorithm was developed to automatically identify the top six litter categories. Both precision and recall derived from the model were higher than 75 %, enabling proper litter categorization. The quantity of litter derived from automated image processing was also plotted on a map using location data acquired concurrently with the images by the smartphone application. Conclusively, this study demonstrates that citizen science supported by smartphone applications and deep learning-based image processing can enable the visualization, quantification, and characterization of street litter in cities.

A Social-Ecological Systems Perspective on Working toward Resilience in Nature-Based Tourism Planning

ABSTRACT Integration of resilience thinking and systems approaches with nature-based tourism (NBT) planning to address the uncertainties and the dynamic complexities of the twenty-first century. It highlights the inadequacy of conventional planning methods to address the challenges faced by NBT, emphasizing the need for adaptive management and sustainable development practices. The study proposes a comprehensive resilience framework that includes three foundational elements: governance flexibility, a culture of learning, and financial support for resilience initiatives. Additionally, it outlines six actionable strategies to enhance resilience in NBT planning, such as acknowledging inherent turbulence, embracing systems thinking, and fostering adaptive pathways. Through a synthesis of classical and contemporary literature, this manuscript contributes novel insights and practical guidance for incorporating resilience into NBT planning, offering a path forward for sustaining tourism in the face of global disruptions and local challenges.

The future of project management simulation exercises

In recent times project management has become among the most popular post graduate courses at UK Universities particularly for international students. Students consider the skill set useful for employability and transferable for a wide range of future avenues helpful in an uncertain world. However, many start this course with no workplace experience and many of the project management concepts are difficult to grasp or cannot be fully tested except within a realistic project situation. Hence project management simulations or games have become increasingly popular to help resolve this issue. This research study focuses on evaluating the effectiveness of a project management simulation exercise used by a leading UK University within their project management teaching programme at post-graduate level. A review of the literature included recent studies of simulation, the development of project management education thinking, experiential learning theory and the skill set required from modern project managers from the perspective of professional bodies, industry groups and academics. This produced a list of 17 skills or competences or knowledge areas including both hard skills such as schedule management and risk management and soft skills such as communication, collaboration, and innovation. Students from the 2021-22 academic year produced quantitative data via a survey relating to their self-perception of their skill level before and after the simulation. Tutors were interviewed to obtain a deeper insight into the mechanisms of learning, the conditions required and their thoughts on future simulation design development. This qualitative data was used to develop a conceptual model for future project management simulation design. The results show that from the student perspective this learning approach is highly effective with in almost all cases the level of competence started at below average and ended at above average after the simulation. Students consider this approach memorable and enjoyable, were fully engaged and would recommend to their peers. The problem of self-assessment was discussed but a link between student confidence and employability proposed. The conceptual model developed from the qualitative data includes not only simulation design but also game management and tutor skill development. Collaboration between industry partners, game developers and educationalists is proposed to develop the next generation of project management simulation exercises.

METHODOLOGY OF INSTITUTIONAL REGULATION OF COMPLEX DEVELOPMENT OF LAND MANAGEMENT AND ASSESSMENT OF ITS EFFECTIVENESS

Modern organizational and economic methods of managing agricultural land use in Ukraine do not ensure its sustainable development, which is reflected in the increasing degradation processes. The current institutional system in Ukraine’s land relations sector is characterized by uncertainty and the lack of clearly established social norms and rules for the ecological management and use of land resources, as well as the roles and statuses of participants in land relations. The absence of a unified national system that meets state and public needs and is supported by an adequate social environment and the ecological awareness of government authorities and citizens hinders the development of effective and competitive agricultural entrepreneurship aimed at creating environmentally clean land resources and producing safe products. A land management system is proposed, where the first level of goal decomposition includes the basic regulatory functions (creation of an ecological network and a system of sustainable land use; forecasting and spatial planning for the use of land and natural resources; development of effective forms of ownership and land use; state support and economic incentives for rational forms of ownership and land use). Regulatory functions, as the main element of the institutional regulation system for the comprehensive development of land management, also serve as the basis for classifying regulatory instruments. The article presents the author’s approach to classifying the instruments of institutional regulation for the comprehensive development of land management according to the basic regulatory functions and their instruments. The institutionalization of land management will contribute to environmentally safe land management in rural areas, the formation of unified land masses, and the reduction of degradation processes. It will also improve the procedures for maintaining land cadastre and monitoring, ensure legislative regulation of access for individuals and legal entities, landowners, and land users to information about land plots and soil quality, which will be used for organizing economic activities, as well as for the economic stimulation of rational land use.

Development of an Comprehensive Budget Management and Performance Evaluation System

The rapid advancement of socio-economic conditions and technology offers enterprises opportunities to enhance their capabilities. As they expand operations, improving management precision becomes essential. Budgeting, a crucial accounting tool for implementing corporate strategy, quantifies action plans and translates strategic planning into specific quantitative measures. Budget management involves forecasting, planning, evaluating, and providing feedback on future business activities and financial outcomes, guiding operational optimization and driving the achievement of strategic goals. Comprehensive implementation of budget management is highly significant for enterprises. This paper explores the characteristics and implementation details of comprehensive budget management, assesses the achievements and shortcomings of Company A in its practice, and analyzes its budget performance evaluation methods, particularly the deficiencies in indicator design. Using the balanced scorecard theory and methods, this study designs a budget performance evaluation indicator system tailored to Company A’s context. This system, based on the company’s strategy and objectives, employs budget performance evaluation as a means to achieve overall strategic goals through business improvement and employee motivation.

RESEARCH AND DEVELOPMENT OF THE SUBPROCESS OF ECONOMIC MANAGEMENT OF INNOVATIONS OF ECONOMIC SYSTEMS

The article is devoted to the use of methodological tools for research and development of the sub-process of managing the economy of innovation in an organization. As the analysis of management systems shows, the effectiveness of the use of innovations is associated with the creation of conditions for their development and integration with modern subjects of the innovation infrastructure. Achieving the goals and missions of modern organizations is impossible without the development and use of management and methodological tools adapted to the realities of the global economy. The purpose of the subprocess of managing the economy of innovation is considered by briefly describing well-known economic indicators that characterize the effectiveness of innovative activity of economic systems. The parameters of the attributes of the innovation economics management subprocess were studied to form a key set of a conceptually categorical thesaurus. The problems (points of development) of the subprocess under consideration within the framework of activities in a specific organization are identified. The author's proposals have been developed to improve the state of the innovation economics management subprocess using the example of a specific organization. When implementing the proposed measures, there is an increase in all indicators (income, gross profit, net profit and cost of services). This can be explained by the fact that there will be a reduction in costs after the use of innovative resource-saving equipment and the implementation of the proposed methodological tools.

Strengthening the Use of Information Technology in Management Practices and Effective School Promotion Strategies

This study aims to investigate the management practices and promotion strategies implemented by the principal at Karungan 2 elementary school. A qualitative approach was used in this study, with data collection through interviews, observations and document analysis. Using qualitative methods makes it easier for researchers to process the data taken. The first objective is to describe school management practices, and the results of the analysis show that teacher resource management still needs to be improved, while curriculum planning and the organisation of extracurricular activities have been done well. The second objective was to identify the promotional strategies implemented, and the findings showed success in co-operation with the school committee and participation in community activities, although there was a need to improve parental involvement and communication with the surrounding community. The discussion of the findings involved expert opinions and a review of journal articles, underlining the importance of judicious budget allocation and parental involvement in effective school promotion. This research provides valuable insights for the improvement and development of school management and promotion practices at Karungan 2 elementary school.

Трансформация подходов к управлению в условиях цифровизации

This article delves into the evolution of conventional management approaches in response to the escalating influence of digital technologies on the operations of modern organizations. Amidst fierce competition, businesses cannot afford to disregard the new paradigm: the implementation of data-driven management methods, the utilization of Decision Support Systems (DSS), forecasting, and scenario analysis exemplified by digital twins, among others. Fundamental management science does not have time to adapt to the rapid development of practical management and its new tools. The aim of this article is to substantiate the necessity of reevaluating the amassed knowledge base and experience in management to foster a new scientific underpinning for businesses in the realm of digital transformation. The importance of the managerial aspect of digitalization is the central subject of the study. This endeavor will appeal to company executives, managers, and individuals engaged in management and digital transformation issues.

The Impact of Human Resource Management Practices on Employee Development and Organizational Performance

Nowadays, more and more enterprises pay attention to the human resource management department, precisely because the importance of human resources cannot be overstated. With it, companies can not only improve their competitiveness and move from resource optimisation to revenue maximisation, but also people are the key productive force of an enterprise. However, for the real meaning of human resources active practice in existing enterprises still have problems. Therefore, the thesis is exploring human resource management and employee development to reflect the impact on organisational performance through four main components: recruitment and selection, training and development, performance appraisal and incentives, employee benefits and satisfaction. And it gives four measures suggestions. Through the investigation and research of the existing literature, with summarizing and concluding, eventually, the study found that scientific and effective human resources bring the rational allocation of resources, the strength of the enterprise's talent pool, and a reasonable salary evaluation system.

Международный опыт применения управленческих технологий в системе государственного управления

This article examines the impact of innovation on public administration and planning in the context of comparative analysis. The author emphasizes key aspects such as the development of digital technologies, ensuring the availability of information, increasing citizen participation and protecting data privacy. The main focus is on analytics to ensure public safety, counter insider threats, human resource management and urban infrastructure development. Methods for utilizing Big Data and artificial intelligence in public administration are presented, along with outcomes from governmental projects based on Big Data. It is noted that the collection and analysis of vast amounts of statistical information allows authorities to develop targeted support programs for specific social groups, optimize urban infrastructure and transport, and improve public safety by identifying financial crimes and illegal activities. Furthermore, the introduction of big data technologies can bring the quality of public services to a new level and make the political decision-making process more transparent and citizen-centric.