Case Study Of Management Research Articles

Adaptive Capacity, Governance and Small Island Developing States: A Case Study of Sargassum Management in the Eastern Caribbean

Governance generally, and appropriate operational institutions specifically, are said to be crucial to increasing human adaptive capacity amidst environmental change. But existing conceptualizations tend to assume a universal model of governance will work for states of all sizes. This article questions this orthodoxy which disregards the lack of clarity on size-relevant institutional design and functioning. We do so by focusing on the role of governance in the adaptive capacity of small island developing states (SIDS) facing a new marine social-ecological threat. We draw on a unique dataset of capacity self-assessments undertaken by thirty-eight key agencies involved in the management of sargassum seaweed influx events in the Eastern Caribbean. We found support for the findings of public administration scholars who show that country size is a contextual factor affecting adaptive capacity beyond the control of managers. The implication is that the ability of SIDS to adapt to new or emergent environmental change is crucially inhibited by size-related governance constraints while solutions that mitigate these effects – informal networks and regional organizations – are not well captured by existing metrics. To ensure assessments of adaptive capacity are contextually appropriate we need a more nuanced appreciation of the impacts of state size on governance outcomes.

Application of Machine Learning for Predictive Analysis and Management of Mediterranean-Farmed Fish Mortalities: A Risk Management Case Study Using Apache Spark

The current study evaluates the performance of three machine learning models—Decision Trees, Random Forest, and Linear Regression—applied to aquaculture data to mitigate risks in aquaculture management. The performances of these models are analyzed and properly demonstrated using metrics including the Mean Squared Error (MSE), R-squared (R2), Root Mean Squared Error (RMSE), and Concordance Index (C-index). The Random Forest model achieved the highest prediction accuracy among all machine learning models, followed by Linear Regression and the Decision Trees. The scatter plot for Linear Regression demonstrates good predictive accuracy for mid-range values. However, it shows significant deviations at the extremes, indicating that the model struggles to capture the full range of variability in the data. The bar chart of coefficients pinpoints the variables with the greatest impact on the predictions, providing suggestions for potential areas that can be improved and providing model interpretability. Future work could incorporate more predictive statistics models focusing on improving the models for extreme values by assessing non-linear models, feature engineering methods, and expanding research into less influential variables. The results greatly impact several sections, including aquaculture management, policy-making, and operational strategies, providing valuable insights for stakeholders and decision-makers. Apache Spark was used for data processing and machine learning model implementation; Apache Cassandra was also used for data storage, ensuring efficient large dataset management and SQL tools for structured data handling; Oracle VM VirtualBox for cross-platform virtualization; and Spark Connector was also used.

Local goal-based governance: a novel approach to environmental sustainability in China?

Abstract The recent emergence of goal-based governance at global scale may be considered as a new approach to enhance environmental sustainability at local level. This article examines how local goal-based governance actually unfolds with a focus on its fundamental features and effectiveness. We build a conceptual framework for local goal-based governance which consists of three key elements: nature of problem, setting the goals, and achieving the goals. It provides a set of theoretical propositions: 1) the problems with two defining features are more amendable to goal-setting strategies, 2) setting a specified, practical, and learning-focused goal structure as the key premise, 3) goal attainment is built around a campaign-mode experimentation to try and find out locally appropriate approaches, a double-layered engagement between civil society and statutory institutions, and a system to track the goals through quantitative and qualitative measures. Based on semi-structured interviews and documents analysis, we adopt a case study of Chinese local waste management to test the theory and explain the unique process of local goal-based governance. This article also discusses how local goal-based governance differs from the traditional rule-based governance and further explores how these two governance strategies interact with each other to realize local changes. We highlight two complementary effects: enabling and compensating. Local goal-based governance has unique strengths to compensate for the weakness of rule-based system in promoting civic engagement; and meanwhile rule-based governance creates favorable social conditions within which local goal-based governance is initiated and developed. The inherent limitations of local goal-based governance are also discussed.

Management of Necrotic Transmetatarsal Amputation with <i>Argania</i> Honey Dressing: A Case Report

Chronic wounds represent a significant global health concern, accounting for a considerable proportion of amputations. Recent advances in healthcare have highlighted the importance of effective wound healing and the prevention of bacterial infections, as these factors are crucial contributors to elevated morbidity rates. Selecting an appropriate wound dressing has presented a significant challenge for healthcare professionals, particularly in developing countries. Honey, a traditional remedy with a long history of use, has been employed in wound care for centuries. This report presents a case study of effective management in a 74-year-old patient with a 28-year history of type II diabetes. This individual experienced a complication related to diabetic foot issues, necessitating toe amputation. This procedure subsequently resulted in difficulties involving necrosis. The treatment protocol included the application of a dressing based on pure Argania honey (Argania spinosa, an endemic tree of southwestern Morocco), without additives, pasteurisation or manipulation. A sharp debridement procedure was previously performed to facilitate the impregnation of honey in the affected area of necrosis. At the end of the treatment all symptoms, including pain, exudates, odour, burning sensation and itching, were fully alleviated. Moreover, a considerable decrease in swelling and wound size was evident, suggesting significant healing in the injured area. The administration of natural remedies for the treatment of this kind of injury may prove an efficacious strategy for the enhancement of quality of life for diabetic patients.

Groundwater resilience, security, and safety in the four largest cities in Denmark

Denmark's complete reliance on groundwater for water supply presents a unique case study in management of natural resources, urban planning, and water resilience in the face of climate change. This paper examines the groundwater management strategies in Denmark in general, focusing on Denmark's four largest cities—Copenhagen, Aarhus, Odense, and Aalborg— each facing distinct challenges due to their demographic, geographical, hydrogeological, and economic characteristics. Through analysis of these cities' approaches to groundwater management, this research contributes to the global discourse on sustainable urban water supply systems. As coastal groundwater cities (CGC), these urban areas must navigate the complexities of sustaining growing populations, mitigating climate change impacts, and coastal processes while ensuring the long-term viability of their groundwater resources. Copenhagen and Aalborg, built atop semi-confined fractured and locally karstic carbonate rocks, highlights the specific challenges associated with karstic groundwater systems, while, Aarhus, and Odense built on glaciofluvial aquifers faces different issues. The different groundwater challenges in these cities underscores the importance of integrating urban development with water resource management and environmental sustainability, offering valuable insights and lessons learned for other regions facing similar challenges. This study, thus not only sheds light on Denmark's groundwater management practices, but also emphasizes the need for innovative solutions to ensure the resilience of urban water supply systems in a changing climate and increasing pressures of emerging organic contaminants and elevated concentrations of geogenic elements induced by water abstraction and fluctuating water tables. Advanced Danish monitoring and modelling tools applied to support decision-making and innovation within the water sector are continuously developed and improved to support resilient and sustainable management of the available water resources.

Pemodelan Integration Use Case (IUC): Perancangan Use Case Diagram (UML) untuk Sistem-sistem yang Terintegrasi

Modeling use cases in software development for a system has been well-documented in literature. Today, digital business competition is becoming faster and more integrated. System or software development now not only analyzes the development of the system itself but also considers how the system can later be integrated with other systems or features in other companies' applications. Therefore, designing use case diagrams for integrated systems has become important; however, based on the author's observations, literature discussing this is still very limited. This article aims to identify and to explain the modeling of integration use cases (IUC) through discussions in the case study of school information system management, as well as to educate readers on the importance of IUC based on the correct and proper use of UML notation. This article discusses in detail the fundamental understanding of notations in depicting use case diagrams, the creation of integration use case diagrams (IUCD) for systems integrated with existing and new systems.

The Ethical Responsibilities of Researchers in Light of the Technological Advancement and Artificial Intelligence Methods: A Case Study of Management Ph.D. Researchers at Midocean University

This study aimed to assess the integration, ethical considerations, and governance of artificial intelligence (AI) within the PhD programs at Midocean University. It specifically sought to understand PhD researchers' perceptions and attitudes towards AI and identify areas for enhancement in AI-related policies and educational initiatives. A descriptive analytical approach was adopted, utilizing an electronic questionnaire distributed to 105 PhD researchers, with 54 completing the survey. The questionnaire was designed to measure various aspects of AI usage, ethical concerns, and governance practices. Statistical analysis was conducted to evaluate the relationships between AI awareness, ethical application, and governance perceptions. The findings revealed diverse perceptions of AI among researchers, indicating both opportunities and challenges in AI integration. The statistical analysis confirmed significant correlations between AI awareness and positive perceptions of ethical AI usage. However, the response rate and sample size posed limitations on the generalizability of the results. The study highlights the need for Midocean University to strengthen its AI governance frameworks and expand ethical guidelines to keep pace with technological advancements. Recommendations include enhancing AI-related educational programs, updating AI policies regularly, and promoting interdisciplinary research to foster an informed and ethically aware research community.

Sustainable Competitive Advantage in the Legal Industry: A Review of Business Strategies and Market Entry Approaches for Gowling WLG in Japan and Nigeria

The modern business landscape has been notably disrupted by events like the COVID-19 pandemic, which reduced global trade by 13% to 23% in 2020, affecting the triple bottom line—profit, people, and planet—of the legal industry. This research develops a sustainable competitive advantage framework for Gowling WLG in emerging markets, focusing on Japan and Nigeria. The study compares Gowling WLG's business strategies and market entry approaches through a strategic management model and case study design, comparing the firm's operations in these diverse markets. Data was collected via document analysis, interviews, field observations, and megatrend articles to evaluate the competitive landscape. A context analysis of existing literature helped formulate relevant themes. Findings reveal the dynamic nature of the legal sector, influenced by political stability, economic conditions, technological advancements, and environmental concerns. Despite challenges like Brexit, global growth opportunities and threats coexist. Gowling's strengths include global recognition and advanced technology, but it also faces challenges in innovation and leadership. Opportunities lie in expanding the high-legal industry and offering sustainability-focused services, though cybersecurity risks and economic instability are significant threats. Strategic alliances with local firms for risk management and expertise are advised. Entering Japan requires thorough research, local collaboration, and cultural sensitivity. This research contributes to the empirical and theoretical literature, noting data reliability limitations, especially in Nigeria.

Improvement Plan for Prevention of Safety Accidents in Old Facilities

Recently developed buildings are becoming larger, more complex, and higher-rise. After the announcement of the first new city in 1989, other first new cities were created in Bundang New Town in Seongnam-si, Gyeonggi-do, and Ilsan New Town in Goyang-si, where occupancy began in 1992. Subsequently, second new cities were built in 12 locations in 2003. In 2018, third new cities were announced, including the Wangsuk District in Namyangju-si, Gyosan District in Hanam-si, and Gyeyang District in Incheon. The continued announcement of new cities suggests the existence of old equipment in first and second new cities, necessitating the safety management of old facilities. Among major building facilities, cases of safety accidents have been reported due to aging, explosion of refrigerators, fires from aging water substation facilities, and power outages. In December 2018, an accident occurred in which one person was killed and 20 people were injured when a hot water pipe at the regional heating corporation near Baekseok Station in Ilsan ruptured because of aging. Thus, the aging of facilities is a major cause of safety accidents, and the scale of accidents is also increasing, making it urgent to establish improvement measures to counteract the occurrence of accidents in old facilities. To prevent safety accidents in old facilities, this study intends to contribute to safety accident prevention by presenting a replacement standard for the main facility through facility expert surveys and domestic and international useful prior research life management case studies.

Evaluating seasonal variation in macronutrient levels and their impact on water quality in urban coastal waters: A case study in nutrient management along the North Colombo coast of Sri Lanka

Macronutrients are vital for sustaining marine food webs and primary production. However, their overabundance through riverine inflows and untreated wastewater discharges causes adverse ecological changes, especially in developing countries, necessitating effective nutrient management for ecosystem preservation. We assessed macronutrient enrichment and dispersion patterns in the north Colombo coast of Sri Lanka, an urban estuary stressed by untreated wastewater discharge from sewer channels and macronutrients from the Kelani River. Maximum concentrations of NO3−−N, total dissolved nitrogen, PO43−−P and total dissolved phosphorus were 0.085, 0.74, 0.70, and 0.79 mg/L, respectively, while the dissolved oxygen levels and temperature ranged from 6.42 to 8.62 mg/L and from 28.1 to 30.8 0C during January 2023. The estuary was a nitrogen-limited ecosystem, with the Kelani River being the primary source of NO3−−N. Although nutrient levels were within water quality guidelines, understanding how pollutants disperse during a catastrophic discharge is crucial for risk management. Simulated dispersion patterns using Delft3D revealed that NO3−−N and other solutes introduced through the Kelani River accumulate near the breakwaters of the Colombo harbor complex during the Northeast monsoon, primarily due to seasonal wave and wind conditions. The accumulation of the limiting nutrient increased the risk of eutrophication and harmful algal blooms by non-indigenous toxic algae species introduced by untreated ballast water disposal. The findings elucidate the critical role of breakwaters in retaining solutes and emphasize the influence of morphological, climatic, and topographical factors on dispersion patterns in coastal ecosystems. The study provides an example for developing countries to integrate cost-effective monitoring technologies and numerical modelling into coastal management, facilitating data-driven decision making for effective environmental management.

UNIFY: A unified policy designing framework for solving integrated Constrained Optimization and Machine Learning problems

The integration of Machine Learning (ML) and Constrained Optimization (CO) techniques has recently gained significant interest. While pure CO methods struggle with scalability and robustness, and ML methods like constrained Reinforcement Learning (RL) face difficulties with combinatorial decision spaces and hard constraints, a hybrid approach shows promise. However, multi-stage decision-making under uncertainty remains challenging for current methods, which often rely on restrictive assumptions or specialized algorithms. This paper introduces unify, a versatile framework for tackling a wide range of problems, including multi-stage decision-making under uncertainty, using standard ML and CO components. unify integrates a CO problem with an unconstrained ML model through parameters controlled by the ML model, guiding the decision process. This ensures feasible decisions, minimal costs over time, and robustness to uncertainty. In the empirical evaluation, unify demonstrates its capability to address problems typically handled by Decision Focused Learning, Constrained RL, and Stochastic Optimization. While not always outperforming specialized methods, unify’s flexibility offers broader applicability and maintainability. The paper includes the method’s formalization and empirical evaluation through case studies in energy management and production scheduling, concluding with future research directions.

Pemahaman Masyarakat Pada Pelaksanaan Sertifikat Tanah Wakaf Dalam Kajian Manajemen Wakaf ( Studi Kasus Di Kantor Urusan Agama Sako Kota Palembang )

This research is entitled "Community's Understanding of the Implementation of Waqf Land Certificates in the Study of Waqf Management (Case Study at the Sako Religious Affairs Office, Palembang City)." Waqf is a form of worship whose practice will not be interrupted even after a person dies, namely waqf. For Muslims, the term waqf is certainly familiar. Waqf is often equated with almsgiving. The property usually donated is land. Waqf can be briefly defined as property donated in the way of Allah to be utilized by the public. This research was conducted at the Sako District Religious Affairs Office, Palembang City. In this research the author used a qualitative method with a descriptive approach. The author also used several data collection techniques, namely observation, interviews and documentation. The results of this research are that the level of public understanding regarding the implementation of waqf land certification still does not understand waqf land certification. The community has different views regarding waqf land certification. As for the implementation of waqf land certification in the KUA, Sako District, Palembang City, it has been carried out, but there is still a lack of public understanding of the obstacles related to financing waqf land certification, there are also other obstacles in carrying out waqf land certification, such as, the public still does not understand the flow of waqf land certification and lack of socialization from the Palembang city government.

Policy implications for the nexus of climate change and gender-based issues in Thailand: case study of waste management

This perspective engages in the complex connections between environmental challenges and gender-based issues in Thailand, revealing a critical intersection that demands immediate attention. This perspective unveils persistent disparities within the environmental realm, particularly in waste management. The perspective advocates for a comprehensive, sustainable strategy to effectively address these challenges. By dissecting the nexus of environmental and gender concerns, the perspective highlights the urgency of dismantling gender-related disparities within waste management and broader environmental conservation efforts. The proposed policy reforms and recommendations underpin the necessity of a holistic approach, integrating cultural shifts and community empowerment initiatives. This perspective envisions a more equitable future, emphasising the imperative of safeguarding both men’s and women’s active participation and benefit in environmental conservation endeavours.

Why shouldn't I collect more data? Reconciling disagreements between intuition and value of information analyses

Abstract Value of information (VoI) analysis is a method for quantifying how additional information may improve management decisions, with applications ranging from conservation to fisheries. However, VoI studies frequently suggest that collecting more data will not substantially improve management outcomes. This often contradicts the intuition of ecologists and managers who usually believe new information is critical for management. This inconsistency is exacerbated by the perception that VoI is a black‐box method. A lack of understanding as to why VoI is usually lower than ecologists expect is hampering on‐ground uptake. There is an urgent need to identify the factors that drive VoI methodology to produce low values. Here, we use a rigorous approach to provide insights into why VoI values are often low. We first derive analytic solutions and upper bounds for a VoI problem with two uncertain states, two actions, and four management outcomes. We show how VoI changes with respect to the benefit (i.e. utility) of implementing actions in each state, and the probability the system is in each state. We apply our formulation to a published frog population management case study and extend the results numerically to 10 million randomly generated larger‐sized problems. Zero VoI occurred half of the time in our two‐action two‐state simulations, corresponding to when one action is best, or equal best, across all states. Even when VoI values were positive, they were typically low. However, on average, VoI tended to increase with the number of states and actions. Our analytic expression for VoI, in the case where VoI is positive, demonstrates that VoI is characterized by the state probabilities and, the utility gaps, that is the difference in utility of deploying each action in each state. Our derived bounds reveal that, in all two‐action two‐state systems, VoI cannot be larger than half the largest utility gap. Our simple, yet powerful, analysis provides precious insight into the important factors that drive VoI analysis. Our work provides an essential stepping stone towards increasing the interpretability of VoI analysis in more complex settings, ultimately empowering managers to use VoI to help inform their decisions.

EFFICACY OF PHALAGHRITA UTTARABASTI IN THE MANAGEMENT Of VANDHYATWA WITH SPECIAL REFERENCE TO TUBAL BLOCKAGE- A CASE STUDY

Introduction: Vandhyatwa has been mentioned by various Acharyas in Ayurvedic classics using multiple terms. Acharya Charak explained factors responsible for Vandhyatwa (infertility), such as yoni dosha (gynaecological disorders), Mansika-Abhitapa (mental stress), Shukra-Artavadosha (disorders of sperm and ovum), Ahara-Vihara Dosha (food- and lifestyle-related disorders), Akalyoga (inappropriate timing), Bala-Kshaya (decreased strength). Two major factors which are associated with fertility problems are anovulation and defects in tubal patency. In the present article, there is a case study of ayurvedic management of infertility due to bilateral tubal blockage. Main Clinical Finding: A 29-year-old female patient reached the hospital complaining of a wants issue for five years. Diagnosis: Her hysterosalpingiography findings showed a bilateral fallopian tubal block. Interventions: 3 consecutive cycles of Uttarabasti were given with Phalaghrita for 3months along with oral medications (Tab. Shebless forte, Phalaghrita) and Anu taila nasya application. Outcome: The patient missed her period after four months of treatment, and the urine pregnancy test was found to be positive. Conclusions: Tubal patency (Kshetra) is an essential factor for conception.

Dampak Just in Time pada Inventory Management Studi Kasus pada Industri Manufaktur Automotive

The purpose of this study is to determine the Impact of Just In Time on Inventory Management Case Study in the Automotive Manufacturing Industry by determining the key factors that are fundamental to just in time practices. This research was conducted in two automotive manufacturers serving the sector hereinafter referred to as Company A and Company B, as these companies cannot be named, for this reason, the identity of these companies cannot be revealed. The approach used here is a mixed approach of quantitative research and qualitative methodology. From the study it can be concluded that organizations can have lower performance or efficiency in managing or controlling inventory, when not implementing JIT or Just-Time practices. In addition, we can also see how JIT affects inventory management practices in organizations in a positive way. This further leads to a positive perception of business performance from both employees and management of the organization. The results for Company A show better performance with cost effective performance through the implementation of the JIT system, with employees being more aware of the inventory management practices in place and the changes and benefits being transmitted to the system

Utilization of Instagram Social Media in Increasing Product Sales, RR Management Case Study

This research was conducted at a business called RR Management which focuses on accessories, how promotional strategies through the use of Instagram social media can increase product sales at RR Management, Sumbawa to find out what promotional strategies are used to increase product sales through the use of Instagram social media at RR Management located on Jln Melati. No. 06, Kel. Bugis, Sumbawa Besar. The method in this research is to use a qualitative method with a descriptive approach to obtain the data desired by the researcher, namely that RR Management has utilized the features in Instagram as a promotional medium, the use of Instagram media in sales has increased the number of product sales and can attract many consumers. . Instagram has an important role for RR Management, through Instagram RR Management can exchange information through content such as photos and videos. The posts uploaded to RR Management's Instagram are the emergence of disseminating information to consumers. The @cv.rrmanagement account to attract a lot of attention from the public, RR Management should collaborate with influencers on Instagram. Make more use of the Live Instagram feature when new items come in so that information is spread to a wider audience. RR Management needs to be improved more consistently in uploading content on Instagram so that the @cvrrmanagement account can attract lots of customers on Instagram.

A TESCO Magyarország fenntarthatósági és közösségi tevékenysége menedzsment összefüggésének vizsgálata

In their fifth sustainability management case study, the authors examine the focus, organizational processes, and operation of TESCO's responsibility and community activities in Hungary. On the one hand they executed analyses of publicly available company reports and internal documents, while on the other hand, they conducted semi-structured interviews with internal and external experts who play a key role in the added CSR activities. In addition to the descriptive presentation of the activities, the authors' work points out that there are many crutial organizational conditions for the effective management of organizational processes related to sustainability and communities, furthermore they highligted the possibilities and limitations of involving external parties and service providers, as well. The value of the case study is enhanced by the fact that no comprehensive case study presenting the sustainability activities of the leading domestic food retail companies has been published recently. Journal of Economic Literature (JEL) codes: A13, D6, F6, M14, M19, M38

Group decision making method for third-party logistics management: An interval rough cloud optimization model

Group decision making in third-party logistics service selection plays an essential role for improving service quality, increasing efficiency and reducing the net cost. Fuzzy and uncertain linguistic variables are commonly used to represent experts‘rankings in optimization problems. To recognize the limits of human cognition and subjectivity of human evaluations, several optimization approaches have been studied to select remanufacturing alternatives in decision making processes, however these methods have certain deficiencies such as lacking manipulation tools of diverse information, randomness, use of predefined parameters increasing uncertainty, interpersonal relations among evaluation criteria. The integration of interval numbers, rough approximations, and cloud model theory plays a significant role to model incomplete and inadequate information occurring in decision making problems. This research paper focuses on the integration of dual interval rough integrated cloud model with best-worst optimization technique, Multi-Attributive Border Approximation area Comparison (MABAC) and Weighted Aggregated Sum Product Assessment (WASPAS) approaches. A novel min–max optimization model based dual interval rough integrated cloud values is designed to compute the weight coefficients and consistency ratio for each criteria. The consistency of proposed optimization model is checked using a consistency ratio test. Secondly, the alternatives are ranked using the proposed DIRI cloud based MABAC and WASPAS approaches using interval clouds based weighted sum and weighted product coefficients, approximation area values and distance formulae. The significance of the proposed model is highlighted with a case study of third-party logistics service management of an electronic firm. The rationality and out-performance of the proposed methodology is studied by a comparative analysis with existing approaches and detailed sensitivity analysis on different variations of criteria weights and parameter.

Civic knowledge management in Smart City Living Labs: a case study of water management in Gimhae, South Korea

ABSTRACT In recent years, the notion of Smart City Living Labs has received increasing attention from scholars and practitioners. These open innovation environments aim to resolve various urban problems with stakeholders, including citizens, requiring frequent exchange of knowledge. Analyzing and managing this civic knowledge can expand ideas and co-create new smart city services and solutions. Despite its potential, there is a lack of research on civic knowledge management in Smart City Living Labs. This research proposed a conceptual framework for civic knowledge and the knowledge creation process, exploring the Gimhae Sambang Water Living Lab, a South Korean government-led Smart City project. The case study, based on exploration and exploitation approaches, examined how civic knowledge is shared as tacit knowledge within the Living Lab, conceptualized into explicit knowledge, and evolved into network knowledge. It also explored how exploration and exploitation interact complementarily in the civic knowledge creation process. This research contributes to the discussion on the role of civic knowledge management in Smart City Living Labs, emphasizing the significant interaction between citizens and the importance of managing their knowledge..