Role In Risk Management Research Articles

Role of Supply Chain Risk Management on Performance of Private Organizations: A Case of MTN Rwanda

Role of Supply Chain Risk Management on Performance of Private Organizations: A Case of MTN Rwanda

Review of advanced practice nurse role in infection throughout the hematopoietic stem cell transplant journey.

Prolonged periods of immunosuppression during hematopoietic stem cell transplant (HSCT) can result in serious infectious complications and contribute to transplant-related morbidity and mortality. Adherence to standardized pre and postinfection screening guidelines, prescribed medications, and early identification of infectious symptoms through comprehensive patient and family education are crucial to minimizing infectious complications. Advanced practice nurses (APNs) are key members of the multidisciplinary care team in the HSCT specialty, maintaining a specialized skillset and scope of practice which includes a holistic based, preventative medicine and risk mitigation approach. This review sought to describe the role of the APN in HSCT care and to further examine existing APN led models of care which focus on infection prevention and education throughout the HSCT treatment journey. No studies specifically examined the APN role in infectious diseases risk assessment, screening, and management throughout the HSCT journey were identified throughout our review, however, there was considerable evidence to demonstrate the benefits of APN led care in the oncology and solid organ transplantation specialty which led to improvements in continuity of care, overall patient outcomes, and multidisciplinary team collaboration. The key themes identified in our review, were the role of the APN in the delivery of comprehensive patient and family education, the role of the APN in supporting, mentoring, and educating junior medical and nursing teams, the collaboration between the APN and the multidisciplinary care team, and the role of the APN in prompt recognition, triage, and management of treatment related complications, such as infection.

PORTFOLIO DIVERSIFICATION STRATEGY AND ITS INFLUENCE ON INVESTMENT RISK AND RETURN IN THE CAPITAL MARKET

The objective of this study is to examine the impact of diversification methods on the risk and return of investments in the capital market. The employed research methodology is qualitative research, which is a strategy utilized to gain a comprehensive understanding of social phenomena. This research methodology involves conducting a comprehensive examination and analysis of relevant written sources, such as books, journals, articles, and documents, to gather information pertaining to the specific topic or title under investigation. The research findings indicate that the diversity strategy portfolio plays a key role in risk management and has an impact on investment returns in the capital market. The diversity of the portfolio is successful in reducing risk, particularly through the distribution of funds across different assets and sectors. This subject is substantiated by empirical evidence and case studies, which demonstrate that a diversified portfolio has the capability to safeguard investments from substantial swings in the market. In the face of capital market unpredictability, diversifying a portfolio is a method that cannot be avoided. By gaining a profound comprehension of risk variables, market dangers, and the economic and political influences on the market, investors can create an ideal portfolio that aligns with their investing objectives. This approach ensures more consistency and measurability over the long term.

The role of enterprise risk management in enabling organisational resilience: a case study of the Swedish mining industry

This study empirically examines the role of enterprise risk management (ERM) in developing and maintaining resilience resources and capabilities that are necessary for an organisation’s strategic transformation towards sustainability. Data was collected through 25 semi-structured interviews, one non-participant observation, and secondary sources in the context of a Swedish mining company undergoing a high-risk strategic transformation towards full decarbonisation. Following the temporal bracketing approach (Langley in Academy of Management Review 24:691–70, 1999) and employing thematic analysis (Gioia in Organizational Research Methods 16:15–31), the data was structured and analysed according to three phases from 2012 to 2023. The findings show: first, different ERM practices, such as risk governance frameworks, risk culture, risk artefacts, and risk awareness, influence resilience resources and capabilities. Second, the evolution of risk management practices from traditional risk management to ERM is an ongoing developmental process to ensure that risk management continues to be aligned with the company’s strategy. Third, in tandem with strategic changes, resilience in terms of resources and capabilities emerges over time and develops through a series of events, gradually enhancing the company’s ability to manage risks and uncertainties associated with multidimensional sustainability challenges. These results contribute to the ERM literature that follows the dynamic capability approach and also focuses on the relationship between ERM and strategy by adding more detailed empirical evidence from the risk management literature in relation to resilience resources and capabilities. Additionally, the results contribute to the resilience literature that follows a developmental perspective.

Due Diligence Associated with Risk Management and Linked to Management Control

Abstract Objective Due Diligence is considered an internal practice that analyzes and identifies the actual situation of an organization. Having a strategic relevance and impact on Mergers and Acquisitions, it provides a solid foundation for the final decision or negotiation. Given this relevance, it is considered an input for Management tools to have information precisely collected and oriented. Methodology The aim of this article is to confirm, through empirical research, namely a case study, conducted in Portuguese enterprises, the importance of Due Diligence and its role in Risk Management, assessing its usefulness as a management control tool and its potential impact on the performance of Portuguese SMEs. Findings Managers recognize that there is a lack of empirical research in this area, especially in terms of its impact on SMEs. Value added Few studies relate to the practices of Due Diligence associated with Risk Management and linked to Management control in SMEs in order to increase transparency and performance. Recommendations This study confirms the contribution Due Diligence can have to Risk Management and the consequent impact on performance when used linked to a Management control tool.

Flood Susceptibility Mapping Using SAR Data and Machine Learning Algorithms in a Small Watershed in Northwestern Morocco

Flood susceptibility mapping plays a crucial role in flood risk assessment and management. Accurate identification of areas prone to flooding is essential for implementing effective mitigation measures and informing decision-making processes. In this regard, the present study used high-resolution remote sensing products, i.e., synthetic aperture radar (SAR) images for flood inventory preparation and integrated four machine learning models (Random Forest: RF, Classification and Regression Trees: CART, Support Vector Machine: SVM, and Extreme Gradient Boosting: XGBoost) to predict flood susceptibility in Metlili watershed, Morocco. Initially, 12 independent variables (elevation, slope angle, aspect, plan curvature, topographic wetness index, stream power index, distance from streams, distance from roads, lithology, rainfall, land use/land cover, and normalized vegetation index) were used as conditioning factors. The flood inventory dataset was divided into 70% and 30% for training and validation purposes using a popular library, scikit-learn (i.e., train_test_split) in Python programming language. Additionally, the area under the curve (AUC) was used to evaluate the performance of the models. The accuracy assessment results showed that RF, CART, SVM, and XGBoost models predicted flood susceptibility with AUC values of 0.807, 0.780, 0.756, and 0.727, respectively. However, the RF model performed better at flood susceptibility prediction compared to the other models applied. As per this model, 22.49%, 16.02%, 12.67%, 18.10%, and 31.70% areas of the watershed are estimated as being very low, low, moderate, high, and very highly susceptible to flooding, respectively. Therefore, this study showed that the integration of machine learning models with radar data could have promising results in predicting flood susceptibility in the study area and other similar environments.

The role of accounting in mitigating food supply chain risks and food price volatility

The global food supply chain is a complex network of interconnected processes and actors that play a critical role in ensuring food security and stability. However, this intricate system is susceptible to various risks and challenges, including natural disasters, geopolitical tensions, market fluctuations, and regulatory changes. These risks often result in food price volatility, which can have profound implications for both consumers and producers worldwide. In this context, accounting emerges as a vital tool for mitigating risks and managing food price volatility within the supply chain. Accounting serves as a cornerstone in providing accurate, timely, and reliable financial information essential for decision-making at every stage of the food supply chain. Through effective financial reporting and analysis, accounting enables stakeholders to identify, assess, and respond to potential risks proactively. By employing risk management techniques such as scenario planning, sensitivity analysis, and hedging strategies, accounting professionals can help organizations anticipate and mitigate supply chain disruptions, thereby reducing the impact of food price volatility. Furthermore, accounting facilitates transparency and accountability within the food supply chain, enhancing trust and cooperation among stakeholders. Through comprehensive cost accounting and performance measurement systems, organizations can identify inefficiencies, optimize resource allocation, and enhance operational resilience. Moreover, accounting frameworks such as sustainability accounting enable businesses to assess and report the environmental and social impacts of their operations, fostering sustainable practices across the supply chain. In addition to its role in risk management and performance optimization, accounting contributes to regulatory compliance and governance within the food industry. By adhering to accounting standards and regulations, organizations can ensure integrity and accuracy in financial reporting, thereby enhancing investor confidence and mitigating legal and reputational risks. Moreover, accounting professionals play a crucial role in designing and implementing internal control systems to prevent fraud, errors, and misconduct, safeguarding the integrity of the supply chain. Accounting plays a multifaceted role in mitigating food supply chain risks and food price volatility. By providing financial insights, promoting transparency, and ensuring compliance, accounting empowers organizations to navigate challenges and promote stability in the global food system.

Revisiting Stock Market Index for the Helsinki Stock Exchange 1912–1981

Stock market indices play a central role in portfolio and risk management and performance evaluation, as well as academic research. This paper presents a fully updated and extended stock market index for the Finnish stock market using new and updated historical databases that cover the period from the establishment of the Helsinki Stock Exchange in October 1912 to the end of 1981. In addition to the all-share market index, four industry indices are presented for the first time. The observed geometric mean market return is 1.034 percent per month (13.14% p.a.). Of the industry indices, the banking sector performed the worst as it was found to have clearly lagged behind in the market, whereas the paper and forest and the metal and manufacturing industries performed the best during the sample period. The results also highlight the importance of taking into account corporate capital actions—which are, historically, often the hardest information to obtain—as they can have a material effect on the index performance.

The Role of Strategic Financial Management in Enhancing Corporate Value and Competitiveness in the Digital Economy

This study examines how strategic financial management boosts SMEs' corporate value and competitiveness in the fast-changing digital economy. As digital technologies change market landscapes, SMEs face unique challenges and opportunities in aligning their financial strategies with digital transformation. This mixed-methods study combines quantitative regression analysis with qualitative interviews with senior management from technology, finance, retail, and manufacturing. Quantitative findings from 129 SMEs show a positive correlation between strategic alignment, innovation culture, and corporate value and financial performance, highlighting the complex but crucial role of digital technology investments and risk management. Qualitative insights emphasise the need to align these investments with strategic goals and foster innovation. This study contributes twice. First, it empirically shows how strategic financial management practises help navigate the digital economy, enriching strategic management and finance literature. Second, it advises SMEs to take a holistic approach to strategic financial management that prioritises digital technology investments and ensures they are strategically aligned, culturally ingrained, and risk-averse. This research shows how financial strategy and digital innovation interact to drive SME competitiveness and value creation in the digital age.

THE INTERSECTION OF GEOLOGY AND BUSINESS SUSTAINABILITY: A DATA-DRIVEN REVIEW OF U.S. CORPORATE ENVIRONMENTAL STRATEGIES

In the contemporary business landscape, the intersection of geology and corporate sustainability emerges as a critical area of exploration, particularly within the U.S. context. This study delves into this intersection, aiming to elucidate how geological insights are integrated into corporate environmental strategies and the ensuing implications for sustainable business practices. The background of the study is rooted in the growing emphasis on environmental stewardship in business operations, where geological considerations are becoming increasingly significant. The paper's aim is to dissect the convergence of geology and corporate sustainability, assessing the influence of geological data on corporate environmental strategies. The scope encompasses a qualitative thematic analysis of recent literature, focusing on current trends, regional variations and industry-specific applications of geological insights. It also explores the economic and environmental impacts of integrating geology into business decisions, highlighting its role in risk management and sustainable innovation. The study concludes that geological data is a strategic asset in business, driving innovation, shaping risk management strategies and influencing long-term economic and environmental outcomes. It recommends that businesses embrace geological data as a core component of their sustainability strategies and policymakers create conducive environments for this integration. Future research is encouraged to further explore this dynamic field. The study provides valuable insights for businesses, policymakers and researchers, underscoring the necessity of integrating geological insights into corporate strategies for sustainable development.
 Keywords: Geological Data, Corporate Sustainability, Environmental Strategies, Business Innovation, Risk Management, Sustainable Development.

Stability And Risk Management of Global Supply Chains in Foreign Trade Economy

This article provides an in-depth analysis of the key role of global supply chain stability in the international trade economy and the core role of efficient risk management in this process. Driven by the wave of globalization, supply chains have become a key link connecting the economies of various countries. This article provides a comprehensive analysis of the current status of global supply chains and an in-depth exploration of the many factors affecting supply chain stability, including supplier reliability, logistics system efficiency, demand forecast accuracy, and inventory management effectiveness. It further delves into many aspects of supply chain risk management, including risk identification, assessment, mitigation and monitoring. Analyze and formulate contingency plans for emergencies as well as regular monitoring and evaluation strategies and measures to improve the effectiveness and value of risk management. Finally, this study emphasizes the importance of supply chain stability and efficient risk management in the global foreign trade economic system, and provides suggestions for future research directions and possible improvement strategies. This research has far-reaching significance for enhancing the transparency, resilience and sustainability of global supply chains, and is crucial to the stable development of the global economy.

A Risk-Aware Approach to Digital Procurement Transformation

As the digital procurement transformation continues to evolve, it is crucial to adopt a risk-aware approach to ensure successful outcomes. This paper delves into the necessity of a risk-aware approach to digital procurement transformation, specifically focusing on the role of professional procurement management and the significance of supplier partnerships in the digital environment. The research aimed to examine the critical role of risk management in the digital transformation of procurement. A total of 318 respondents from Serbia participated in the study. The role of professional management in procurement must encompass risk management to guarantee success in digital procurement transformation. Furthermore, the study identified that adequate preparation, information, and training for individuals involved are crucial for a seamless transition to digital procurement. The digital transformation of procurement contributes to sustainability by enhancing efficiency, transparency, and collaboration across the supply chain, ultimately fostering environmentally conscious practices and responsible resource management. In summary, the research underscores the need for a comprehensive and risk-aware approach to digital procurement transformation, considering the pivotal roles of procurement professionals, supplier partnerships, and the integration of new technologies.

Risk Management Planning by Risk Register in Building Construction Project

This research addresses the common issue of vulnerabilities emerging during construction projects due to inadequate risk identification and analysis. It aims to mitigate this by creating a comprehensive risk register, documenting potential risk events, their causes, and characteristics. The main goal is to identify prominent risk factors in building construction projects and develop a risk management strategy using this register. The study used purposive sampling and considered 22 indicators, including human resources, cost, materials, equipment, and environmental conditions. Questionnaires were distributed to 50 contractors in the Banda Aceh region. Validity and reliability were confirmed through statistical analysis. The analysis showed that human resources were the most prevalent risk factor. Using a probability impact matrix, five indicators had medium-risk levels, while seventeen indicated low risk. Human resources, materials and equipment, and environmental conditions were identified as dominant risk factors, all at a medium-risk level. The study underscores the importance of addressing human resources risks through a structured risk register, which can significantly improve project management and execution. By systematically assessing and mitigating potential risks, project stakeholders can make informed decisions and enhance project outcomes in terms of timelines, costs, and quality. In conclusion, this research highlights the critical role of risk management in construction projects and emphasizes the value of a comprehensive risk register. Addressing dominant risks proactively can positively impact building construction projects.

The Role of Environmental Uncertainty, Firm Size, and Enterprise Risk Management to Improve Firm Performance

Global warming and other environmental problems are a major concern because related to corporate sustainability issues, so research is needed regarding various factors that influence company performance. This quantitative research was conducted to determine and analyze the influence of environmental uncertainty, firm size, and enterprise risk management on firm performance. The population in this study is the energy sector listed on Bursa Malaysia during 2017-2021. The sample selection used the purposive sampling method. Hypothesis testing using panel data regression with the E-Views 12. The results of this study show that, (1) environmental uncertainty has no effect on firm performance, (2) firm size has a positive effect on firm performance, (3) enterprise risk management has a positive effect on firm performance

Research on Portfolio Management in Financial Markets Against the Background of the Epidemic

Portfolio management serves as an important role in risk management, therefore, the paper intends to study its role in risk hedging and the influence of the COVID-19 pandemic on certain examples, whose data are from Yahoo Finance. The main methodology is to apply mathematical models on collected data and study the effectiveness of portfolio management including portfolio optimization and time series analysis. It can be concluded from the results that different stocks have different similarities according to the clustering results. A fixed portfolio is best suited for real capital assets in pursuit of lower risk level and higher profits under a relatively stable circumstance. And the pandemic has direct impacts on the stock price including higher variance and higher level of volatility. The meaning for this research is give illustrations and models that can be further applied in real financial markets added with the consideration of significant events such as pandemic.

Enhancing firm value: The role of enterprise risk management, intellectual capital, and corporate social responsibility

Enhancing firm value: The role of enterprise risk management, intellectual capital, and corporate social responsibility

Investigating the beneficial impact of segmentation-based modelling for credit scoring

Due to its vital role in financial risk management, credit scoring has been investigated extensively in extant information systems studies. However, most credit scoring studies rely on one-size-fits-all classifiers with logistic regression (LR) as a popular benchmark. Moreover, extant literature largely focuses on predictive performance as an evaluation criterion. To find a better balance between predictive performance and interpretability though, the current study investigates the beneficial impact of segmentation-based modelling by benchmarking the logit leaf model (LLM) which is based on LR and decision trees. By a large experimental setup using a real-life credit scoring data set containing 65,536 active customers, we find that LLM is a viable classifier over its constituent parts, i.e., LR and decision trees, and is very competitive to state-of-the-art credit decision making techniques (neural networks, support vector machines, bagging, boosting and random forests) on three evaluation metrics (AUC, top-decile lift and profit). Furthermore, we show its extraordinary interpretability capacities by proposing a new visualization based on the LLM output. In sum, the excellence of the LLM as a classifier for credit decision making problems stems from its ability to combine strong predictive performance with interpretable insights that in turn can inform managerial decisions.

Predicting Corporate Financial Distress Using a Hybrid Model of Artificial Immune System and Wavelet Neural Network (Artificial Intelligence)

In today's financial landscape, the prediction of corporate financial distress plays a crucial role in risk management and economic stability. This study aims to develop a hybrid predictive model that combines the Artificial Immune System (AIS) with the Wavelet Neural Network (WNN) to forecast financial distress in companies. The hybrid model leverages the strengths of both algorithms to improve accuracy in identifying distressed firms based on financial data. Utilizing a dataset of Tehran Stock Exchange-listed companies, this research compares the performance of the hybrid model against traditional methods like logistic regression and standalone neural networks. Results demonstrate that the AIS-WNN hybrid model outperforms other techniques in terms of prediction accuracy, sensitivity, and overall robustness. The findings indicate that the proposed model provides a powerful tool for investors, auditors, and policymakers to anticipate financial distress and make informed decisions. This approach can be further expanded to other domains of financial forecasting, contributing to the advancement of predictive analytics in the field.

New Dimensions of Data Breach Risk in Global Investment Banks and the Role of Operational Risk Managers in Managing that Risk

New Dimensions of Data Breach Risk in Global Investment Banks and the Role of Operational Risk Managers in Managing that Risk

Risk Theory and 'Subjective Fear': The Role of Risk Perception, Assessment, and Management in Refugee Status Determinations

Risk Theory and 'Subjective Fear': The Role of Risk Perception, Assessment, and Management in Refugee Status Determinations