Risk Management Framework Research Articles

Innovations in Risk Measurement and Management for Strategic Financing Decisions

This study aims to explore the integration of innovative quantitative models, behavioral finance insights, and advanced analytics techniques in contemporary risk management practices to bolster organizations' resilience and informed decision-making within dynamic financial landscapes. Through a systematic literature review spanning disciplines such as finance, psychology, and technology, this research synthesizes diverse insights to comprehensively understand the evolving nature of risk management strategies. The findings elucidate that incorporating advanced quantitative models like Value at Risk (VaR) and Conditional Value at Risk (CVaR) empowers organizations to meticulously assess and quantify financial risks, thereby enhancing risk management accuracy and granularity. Furthermore, the assimilation of behavioral finance insights illuminates the psychological determinants shaping risk perception and decision-making behaviors, leading to the development of more robust risk management frameworks that accommodate both rational and irrational factors. Moreover, leveraging advanced analytics techniques, notably natural language processing (NLP) algorithms, enables proactive risk management by analyzing textual data and market sentiments with heightened precision. This study underscores the imperative of perpetual innovation and adaptability in risk management practices to adeptly navigate the intricacies of modern financial landscapes. By harnessing emerging technologies, behavioral insights, and interdisciplinary methodologies, organizations can fortify their risk management capabilities, mitigate threats, and seize opportunities in today's globally interconnected economy. Addressing the challenges associated with implementing innovative risk management practices necessitates proactive leadership, resource allocation, and organizational culture transformation. Ultimately, this research contributes to advancing the understanding and application of innovative risk measurement and management approaches, fostering sustainable growth and success for organizations.

Evaluating the spatiotemporal dynamics of ecosystem service supply-demand risk from the perspective of service flow to support regional ecosystem management: A case study of yangtze river delta urban agglomeration

The inappropriate spatio-temporal distribution of natural capital during rapid urbanization has increased ecosystem service supply-demand (ESSD) risks, posing great challenges to the sustainable growth of human well-being, especially in urban agglomerations. Although methods focusing on the spatial match or temporal dynamics of ESSD in risk assessment have been established, a comprehensive understanding of the spatial dynamics underlying ecosystem service flows (ESF) is still missing. Due to the spatiotemporal heterogeneity of various ESSD risks within urban agglomerations, incorporating these elements into a unified spatial planning framework is still difficult. This study integrated the spatio-temporal analysis method of ESSD considering ESF and the spatial clustering method to propose an ESSD risk assessment and management framework: evaluating ES supply, demand and flow, incorporating ESF to quantify ESSD across various timeframes, assessing ESSD risks based on the current status and dynamic trends, and using Self-Organizing Map to identify optimal ESSD risk bundles (ESSDR_Bs). The results showed high ESSD risks of high temperature regulation, nitrogen purification, phosphorus purification, and food production in Yangtze River Delta urban agglomeration. While the ESSD risks of biodiversity conservation, carbon sequestration, soil retention, water yield, and tourism culture were relatively low, a concerning trend of decreasing surpluses was observed in general. In addition, six ESSDR_Bs were identified, and differentiated ecological management strategies were proposed for each bundle. This study provided a novel perspective for efficiently understanding and regulating the ESSD risks in urban agglomerations.

Understanding the significance of risk management in enterprise management dynamics

In the complex landscape of modern business, risk management is a critical factor in deciding whether organizations succeed or fail. This review delves into the significance of risk management in enterprise dynamics, exploring its evolution, conceptual framework and the categories of risks organizations face. The study emphasizes the importance of risk identification, assessment, response and continuous monitoring. Additionally, it categorizes enterprise risks, including financial, operational, strategic, compliance and reputational risks. This work highlights the pivotal role of risk management in strategic decision-making, stakeholder confidence, operational resilience, value creation, and innovation, as well as cost reduction. Furthermore, it investigates the emergence of Enterprise Risk Management (ERM) and its integration with management science. Empirical findings underscore the positive impact of ERM on organizational risk evaluation and management. The study concludes with thoughts on the objectives of ERM, risk assessment, group impacts, preference consistency, risk management frameworks and potential implementation obstacles that organizations may encounter. The integration of ERM with strategic management is emphasized, providing a comprehensive understanding of organizational dynamics and promoting long-term success.

Developing an integrated framework for risk management in policing: crisis management using big data analytics as a case study

Objective: The study seeks to develop an integrated framework for enhancing risk management and crisis management in policing through the utilization of big data analytics, using the Dubai police force as a case study. Theoretical Framework: This research is grounded in the intersection of big data analytics and risk management within the field of policing, focusing on how data-driven approaches can innovate and improve security crisis management. Method: Data for the study was collected via questionnaires distributed to 450 police officers across all departments in Dubai. The analysis was conducted using AMOS software within a Structural Equation Modeling framework to assess the impact of big data analytics on police risk and crisis management. Results and Discussion: The results indicate that big data analytics significantly enhances risk management and crisis management in policing. It was found that police risk management serves as a mediating factor between big data analytics and security crisis management. These findings suggest that the application of big data can substantially improve knowledge and operational performance in police organizations. Research Implications: The study emphasizes the crucial role of big data analytics in revolutionizing police risk and crisis management processes. It highlights the potential for these technologies to provide substantial improvements in the efficiency and effectiveness of police operations. Originality/Value: This research is valuable as it provides empirical evidence of the benefits of big data analytics in the context of policing. It offers practical guidelines to police departments, particularly within the UAE, on leveraging big data to enhance their operational performance in managing risks and crises. The study contributes to the broader understanding of integrating advanced data analytics into public safety and emergency response strategies.

Incorporating failure mode and effects analysis into a novel framework for hydrogen production from solid waste gasification

Gasifying waste represents a sustainable and highly effective approach; however, ensuring rigorous control of hydrogen leakage is paramount to guarantee both safety and long-term sustainability. Due to the distinctive features of these production facilities and the likelihood of their placement in public municipal spaces, it is imperative to prioritize a comprehensive approach to ensuring the safety of these installations. This includes a thorough evaluation of the risks linked to hydrogen and taking proactive measures to prevent accidents, a crucial aspect that has been neglected in prior research endeavors. Therefore, this article introduces an enhanced iteration of the risk management framework based on the failure mode and effects analysis (FMEA) and the evaluation based on distance from average solution (EDAS) methods, implemented in a municipal solid waste gasification system to facilitate hydrogen production. The research employs FMEA to scrutinize potential failure modes, strategically prioritizing them through advancements in the EDAS methodology. Notably, this framework is seamlessly integrated during the conceptual design phase, showcasing its efficacy in bolstering risk-informed design strategies. Through rigorous comparative and sensitivity analyses, the resilience of the framework is underscored. The refined FMEA-EDAS framework holds substantial practical implications for managing hydrogen production facilities by providing a structured approach to resource allocation and ensuring adherence to industry standards. Furthermore, it fosters interdisciplinary collaboration, potentially serving as a knowledge hub to fortify safety measures within the realm of hydrogen production.

Effective cybersecurity risk management practices for small and medium-sized enterprises: A comprehensive review

Small-to-medium-sized enterprises (SMEs) make up a significant portion of the economies of many nations. However, research shows that many companies fall short when establishing cyber security, making them vulnerable to assaults. In addition, while accounting for a sizable share of firms, studies on cyber security focus on SMEs. This study reviews the latest evaluation on the cyber security of SMEs, emphasizing how well this experiment aligns with the well-known National Institute of Standards and Technology (NIST) and Cyber Security Framework (CSF). The report begins by underlining the crucial necessity of cybersecurity in the digital era and the particular issues that SMEs confront. It emphasizes the financial and reputational dangers associated with cyber events, emphasizing the importance of solid cybersecurity procedures. The review investigates several cybersecurity risk management approaches, strategies and frameworks, providing insights into their relevance and efficacy in the context of SMEs. We discovered that study in SME cyber security is sophisticated and specialized attention on the NIST and CSF recognize as well as defend tasks, with minimal effort spent on the other current activities. SMEs should be equipped to detect, react to, and recover from cybercrime. SMEs might not have appropriate information on responding to such occurrences if research in these areas is pathetic. In future studies in SMEs, there needs to be an excellent equilibrium in cyber security. Scholars ought to use firm, proven mathematical methods to improve and test their work, yet governments and academia are urged to invest in providing researchers with incentives to broaden their research horizons.

Risk assessments of drug-related problems for cardiac surgery patients.

Patients undergoing cardiac surgery are considered at high risk for developing drug-related problems (DRPs) due to comorbidities and complexity of drug treatment. This study aimed to identify DRPs in patients undergoing cardiac surgery and to develop and implement a framework to reduce potential risks associated with drugtreatment. Prospectively designed quasi-experimental study. This study consisted of observational (risk assessment and framework development) and interventional (framework implementation) periods and was conducted at a department of cardiovascular surgery in a university hospital. An expert panel evaluated the causes of DRPs. Then a framework was developed in consensus to identify safeguards to be implemented during the interventionalperiod. A total of 200 patients (100 patients per study period) were included. During the observational period, a total of 275 DRPs and 487 causes were identified; 74.5% of DRPs were not solved. For the risk analysis, 487causes were evaluated and only 32.6% were considered acceptable risk. By implementing the framework in the interventional period, 215 DRPs and 304 causes were identified and 386interventions were recommended by a clinical pharmacist. Atotal of 342 (88.6%) interventions were accepted by a health care team, and 128 (59.5%) DRPs were completely solved. For the risk analysis, 304 causes were evaluated and 84.9% were considered acceptable risk ( P < .001 compared with the observational period). It is possible to reduce risk levels or prevent occurrence of DRPs by implementing a framework for risk management developed by a multidisciplinary care team in areas such as cardiac surgery where time is limited.

Credit Risk and the Financial Performance of Commercial Banks in Somalia.

The operation of commercial banks in Somalia unfolds amidst formidable economic challenges stemming from political instability, ongoing conflicts, and a frail institutional framework. Nevertheless, Somalia’s financial sector exhibits resilience, with several commercial banks endeavoring to address the financial needs of businesses and individuals nationwide. These banks play a pivotal role in mobilizing savings, facilitating transactions, and providing credit, thereby supporting economic activities in Somalia’s predominantly cash-based economy. This study explored the impact of credit risk on the financial performance of Somali commercial banks, employing Modern Portfolio Theory (MPT) as the theoretical framework. Adopting a descriptive survey research design, secondary data from licensed commercial banks and the Central Bank of Somalia were analyzed over ten years (January 2014 to December 2023) using panel regression analysis. Findings reveal a moderate negative correlation between credit risk, measured by Bad Debt Expense Ratio (BDER), and financial performance, indicated by Return on Equity (ROE). Statistical tests confirm the significance of this relationship, emphasizing the importance of robust credit risk management practices for sustaining favorable financial outcomes. Recommendations include uniform improvement in risk management practices across the sector and proactive measures to mitigate emerging credit risk factors. Enhancing risk management frameworks is vital for ensuring continued financial stability and performance in the Somali banking industry.

Challenges and efforts in managing AI trustworthiness risks: a state of knowledge.

This paper addresses the critical gaps in existing AI risk management frameworks, emphasizing the neglect of human factors and the absence of metrics for socially related or human threats. Drawing from insights provided by NIST AI RFM and ENISA, the research underscores the need for understanding the limitations of human-AI interaction and the development of ethical and social measurements. The paper explores various dimensions of trustworthiness, covering legislation, AI cyber threat intelligence, and characteristics of AI adversaries. It delves into technical threats and vulnerabilities, including data access, poisoning, and backdoors, highlighting the importance of collaboration between cybersecurity engineers, AI experts, and social-psychology-behavior-ethics professionals. Furthermore, the socio-psychological threats associated with AI integration into society are examined, addressing issues such as bias, misinformation, and privacy erosion. The manuscript proposes a comprehensive approach to AI trustworthiness, combining technical and social mitigation measures, standards, and ongoing research initiatives. Additionally, it introduces innovative defense strategies, such as cyber-social exercises, digital clones, and conversational agents, to enhance understanding of adversary profiles and fortify AI security. The paper concludes with a call for interdisciplinary collaboration, awareness campaigns, and continuous research efforts to create a robust and resilient AI ecosystem aligned with ethical standards and societal expectations.

Two Decades of Integrated Flood Management: Status, Barriers, and Strategies

Losses from flood disasters are increasing globally due to climate-driven forces and human factors such as migration and land use changes. The risks of such floods involve multiple factors and stakeholders, and frameworks for integrated approaches have attracted a global community of experts. The paper reviews the knowledge base for integrated flood risk management frameworks, including more than twenty bibliometric reviews of their elements. The knowledge base illustrates how integrated strategies for the reduction of flood risk are required at different scales and involve responses ranging from climate and weather studies to the construction of infrastructure, as well as collective action for community resilience. The Integrated Flood Management framework of the Associated Programme on Flood Management of the World Meteorological Organization was developed more than twenty years ago and is explained in some detail, including how it fits within the Integrated Water Resources Management concept that is managed by the Global Water Partnership. The paper reviews the alignment of the two approaches and how they can be used in tandem to reduce flood losses. Success of both integrated management approaches depends on governance and institutional capacity as well as technological advances. The knowledge base for flood risk management indicates how technologies are advancing, while more attention must be paid to social and environmental concerns, as well as government measures to increase participation, awareness, and preparedness. Ultimately, integrated flood management will involve solutions tailored for individual situations, and implementation may be slow, such that perseverance and political commitment will be needed.

Securing the Digital Frontier: Strategies for Cloud Computing Security, Database Protection, and Comprehensive Penetration Testing

This research paper explores the effectiveness of integrated cybersecurity strategies, focusing on the amalgamation of cloud computing security, database protection, and penetration testing into a unified risk management framework. The primary aim is to evaluate how such integration impacts the overall cybersecurity posture of organizations, offering insights into mitigating cyber threats, unauthorized access, and data breaches. Employing a survey-based methodology, the study gathered data from 365 professionals across cloud computing, database administration, and cybersecurity fields. Through descriptive statistics and Partial Least Squares Structural Equation Modeling (PLS-SEM), the research explored the interrelations between various cybersecurity strategies and their collective influence on organizational resilience against cyber threats. The findings underscore the significant benefits of a holistic cybersecurity approach, revealing that penetration testing, robust database security measures, and strict adherence to cloud computing security requirements significantly reduce vulnerabilities and incidents of data breaches. Moreover, the study established that a unified risk management framework substantially enhances an organization's cybersecurity posture, highlighting the critical role of integrated security measures in fostering organizational resilience. The research confirms the hypothesis that incorporating cybersecurity strategies across different domains leads to a synergistic enhancement of security defenses, offering a more robust mechanism against the multifaceted nature of cyber threats. In conclusion, the study advocates for the adoption of a comprehensive, integrated approach to cybersecurity, emphasizing regular penetration testing, stringent database security protocols, and adherence to cloud computing security standards as essential components of a robust cybersecurity framework. This approach not only mitigates the risk of cyber threats but also strengthens organizational resilience, ensuring a secure digital environment for future challenges.

Risk Management in Indonesian Local Government: A Literature Study

The primary objective of this research is to provide an in-depth understanding of the concept of risk management in Indonesian local governments, specifically focusing on the legal frameworks and cultural aspects surrounding risk awareness. The research employs a literature review methodology, utilizing articles, research journals, and 30 open-access local risk management regulations. Data analysis follows Miles and Huberman's qualitative approach, involving four key phases: data collection, data reduction, data presentation, and conclusion/review. The study reveals that some Indonesian local governments have established legal frameworks for risk management since approximately 2017. Key elements for effective risk management include a culture of risk awareness, robust risk management processes, effective communication and consultation, and sound assessment and reporting practices. The development of a risk-aware culture involves communication of risk understanding across all organizational levels, internalization of risk management in decision-making processes, and the enhancement of a control environment supporting a risk- aware culture. While this research sheds light on the progress of risk management in Indonesian local governments, there may be limitations inherent in the study, such as the scope of literature available and potential variations in local practices. The implication of these findings suggests the need for further research to delve deeper into specific regional contexts and challenges that may impact the effectiveness of risk management.

Internet of Medical Things Security Frameworks for Risk Assessment and Management: A Scoping Review.

The massive expansion of the Internet of medical things (IoMT) technology brings many opportunities for improving healthcare. At the same time, their use increases security risks, brings security and privacy concerns, and threatens the functioning of healthcare facilities or healthcare provision. This scoping review aims to identify progress in designing risk assessment and management frameworks for IoMT security. The frameworks found are divided into two groups according to whether frameworks address the technological design of risk management or assess technological measures to ensure the security of the IoMT environment. Furthermore, the article intends to find out whether frameworks also include an assessment of organisational measures related to IoMT security. This review was prepared using PRISMA ScR guidelines. Relevant studies were searched in the citation databases Web of Science and Scopus. The search was limited to articles published in English between 2018 and 17 September 2023. The initial search yielded 1341 articles, of which 44 (3.3%) were included in the scoping review. A qualitative content analysis focused on selected security perspectives and progress in the given area was carried out. Thirty-two articles describe the design of risk assessment and management frameworks. Twelve articles describe the design of frameworks for assessing the security of IoMT devices and possibly offer a comparison of different IoMT alternatives. A description of the included articles was prepared from the selected security perspectives. The review shows the need to create comprehensive or holistic frameworks for operational security and privacy risk management at all layers of the IoMT architecture. It includes the design of specific technological solutions and frameworks for continuously assessing the overall level of information security and privacy of the IoMT environment. Unfortunately, none of the found frameworks offer an assessment of organizational measures even though the importance of the organization measures was highlighted in articles. Another area of interest for researchers could be the design of a general risk management database for IoMT, which would include potential IoMT-related risks connected to a particular device.

Optimizing Supply Chain Resilience in the Era of Global Disruptions: A Comprehensive Framework for Effective Risk Management

In the contemporary global business environment, characterized by increasing interconnectivity and frequent disruptions, supply chain resilience has become paramount for organizational success. This thesis introduces a comprehensive framework aimed at optimizing supply chain resilience amidst such challenges. Drawing from extensive literature, theoretical models, and empirical research, the framework emphasizes proactive risk identification, robust mitigation strategies, and agile response mechanisms. It stresses collaboration, information sharing, and alignment among supply chain partners, leveraging technology for enhanced visibility and adaptability. Additionally, the framework underscores the significance of organizational culture, leadership, and employee empowerment in fostering resilience. Through empirical validation and case studies, practical insights are provided, addressing challenges like resource allocation and sustainability integration. Moreover, the thesis explores emerging trends such as climate change impacts and technological advancements, guiding organizations towards future-proofing their supply chains.

Integrating risk management and earned value framework to detect early warning signs – Case study

The construction industry, renowned for its inherent risks, faces challenges stemming from diverse factors such as conflicting stakeholder objectives and environmental fluctuations. To address these uncertainties, Risk Management (RM) procedures serve as preemptive measures to alleviate the impact of potential risks. This research introduces an integration framework that amalgamates principles of risk management with the earned value technique, specifically tailored for managing mega infrastructure projects in Kuwait. Through an expert panel, key risk elements are identified, forming the basis for a comprehensive risk mitigation strategy. The application of the earned value technique throughout the project construction phase enables real-time monitoring and prediction of project performance indicators. The periodic integration of RM principles and earned value applications provides valuable insights into project management, emphasizing the necessity of completing all risk management steps, garnering top management support for innovative techniques, and integrating project staff into management processes. This study underscores the significance of employing risk management and earned value techniques as crucial indicators for monitoring and enhancing project performance.

AN ANALYSIS OF RISK MANAGEMENT STRATEGIES OF ICICI BANK

This study investigates the risk management measures used by ICICI Bank, one of India's largest financial organizations. The banking industry operates in a dynamic environment, continuously confronted with new risks that might have a substantial impact on operations and financial stability. Understanding and controlling these risks are critical for long-term growth and resilience. The goals of this research are twofold: to investigate ICICI Bank's risk management procedures and assess their effectiveness in mitigating various types of risks. To accomplish these goals, a complete study design was used, combining qualitative and quantitative approaches. The data was gathered through a combination of literature reviews, interviews with key stakeholders, and financial report and risk management framework analysis. The study's primary findings shed light on ICICI Bank's multidimensional risk-management approach, which includes credit risk, market risk, operational risk, and compliance risk. The bank uses a variety of tools and procedures, such as risk assessment models, diversification strategies, hedging mechanisms, and strong internal control systems. Furthermore, the report addresses the bank's risk management difficulties, including regulatory compliance, technology improvements, and macroeconomic changes. According to the findings, numerous inferences may be made about the success of ICICI Bank's risk management procedures. Furthermore, the study emphasizes the need to incorporate risk management into strategic decision-making processes and cultivate a risk-aware culture throughout the firm. Following the conclusions, many recommendations for action are made. These include strengthening risk governance structures, improving risk monitoring and reporting systems, investing in advanced analytics and risk modelling skills, and encouraging engagement with regulators and industry peers. Implementing these recommendations would help ICICI Bank strengthen its risk management strategy and efficiently navigate the growing landscape of financial hazards. Overall, this study adds to our understanding of risk management techniques in the banking sector and offers useful insights for practitioners, policymakers, and academics. It underscores the importance of proactive risk management in ensuring the resilience and sustainability of financial institutions like ICICI Bank in an increasingly complex and uncertain environment.

Multi-dimensional identification of investment risks in renewable energy projects along the Belt and Road: an integrated framework based on HHM and WRT

ABSTRACT Due to the complexity of various risk factors and their interactive effects in the risk management of renewable energy project investment, this study uses Hierarchical Holographic Modelling (HHM) and WSR–RFRM–TSS (WRT) methods to construct a risk assessment model for energy project investment. Firstly, we comprehensively identify the risk sources by applying HHM method, and then construct the risk assessment index framework based on the Wuli–Shili–Renli (WSR) methodology. To identify the most significant risk indicators, the risk factors are secondarily filtered by using the Risk Filtering, Ranking, and Management Framework (RFRM). Following that, multi-dimensional risk scenarios are created by incorporating the Theory of Scenario Structuring (TSS). Finally, an empirical study is conducted using the Karot Hydroelectric Project project as a case study. The results show that in the two-dimensional risk scenarios, the highest risk value is the coupling of political stability risk and institutional imperfection risk. In the three-dimensional risk scenarios, the highest risk value is the coupling of political stability risk, institutional imperfection risk and communication barrier risk. The risk values of two-dimensional risk scenarios are generally higher than those of one-dimensional risk scenarios and three-dimensional risk scenarios.

Financial Risk: Case Study Analysis

This study explores the complex context of real-life financial risks. Using a thorough analysis of real case studies to reveal its varied nature and practical implications. Beginning with observations in the Age of Exploration and International Trade, the Financial Crisis of the 17th and 18th Centuries, and the Financial Crises of the 21st Century, this paper highlights the lessons learned for the current organization as well as individual contexts on how financial risk can affect the stability of financial conditions. This article, by deconstructing noteworthy instances of market crashes, corporate scandals, and regulatory failures, could also be used as guidance to emphasize the importance of strong risk management frameworks and tactics in limiting possible threats and improving resilience. Finally, this article serves as an insightful reminder of the importance of case studies in exposing real-world financial risks, providing significant insights for practitioners, researchers, and policymakers navigating the complicated environment of risk management.

Risk and reward: unraveling the link between credit risk, governance and financial performance in banking industry

Purpose This study aims to investigate the moderating role of corporate governance (CG) on the relationship between credit risk (CRs) and financial performance (FP) of banks listed in the Palestine Securities’ Exchange (PEX) and Amman Securities’ Exchange (ASE). Design/methodology/approach This study used a hypothesis-testing research design to collect data from the annual reports of 21 banks listed on (PEX) and (ASE). Secondary data, annual reports and disclosures were used between from 2009 to 2019. Descriptive and inferential statistics were used, along with correlation analysis to evaluate linear relationships between variables. Data was collected based on panel data, the VIF was used to test multicollinearity and binary logistic regression was used to develop the research model. Findings The regression results showed the association between CR and firm performance depends on the measurement of each factor applied. The results showed mixed results between loans to total assets (LTA) and nonperforming loans to total loans (NPLs) with FP. LTA has a significant and positive effect on TOBINSQ and return on equity (ROE), but an insignificant and positive effect on return on assets (ROA). On the other hand, NPLs have a significant and negative effect on ROA, whereas NPLs have a weak and positive effect on TOBINSQ. However, there is an insignificant and positive effect of NPLs on ROE. Moreover, the results demonstrated that CG moderated the relationship between CRs and FP of banks. The practical contribution of this paper, for bank policymakers and authorities, the study’s implications are noteworthy. Understanding the varied impacts of different CR measures on FP can help regulators and policymakers design more tailored and effective risk management frameworks for banks. Research limitations/implications This study had limitations that future research might be able to address. First, the small size of the sample used in the study included 21 banks listed on the PEX and ASE. Likewise, the ASE and PEX are considered developing stock exchanges, so the results of this study may differ from those of other stock exchanges. Second, only CRs were considered in this study when examining the association between the profitability of Palestinian banks and ASE. Other studies can be undertaken on other nonfinancial risks, such as operational risk, to measure the differences between them and examine their effects on the profitability of Palestinian and Jordanian banks. Other studies might be performed to compare CRs and its impact on profitability in Palestinian and Jordanian banks with those in other Western and Eastern banks. Furthermore, in addition to TOBINSQ, ROA and ROE, researchers can use other financial indicators to measure profitability. This will contribute to substantiating the present study’s findings. Originality/value Although several studies have examined the relationship between CRs and FP in developed and developing countries, the results have been mixed. However, this study is one of the few studies that examined the moderating role of CG in association with CRs and FP, especially on Palestinian and Jordanian contexts. Finally, the findings offer policymakers and practitioners of Palestinian and Jordanian contexts.

Risk Management in Agile Al/Ml Projects: Identifying and Mitigating Data and Model Risks

Purpose: This study addresses the crucial challenge of managing risks associated with data and models in Agile Artificial Intelligence (AI) and Machine Learning (ML) projects. It aims to develop a systematic framework for effective risk control utilizing agile methodologies. Methodology: The research is grounded in an interpretivist approach and utilizes a deductive method. It constructs a comprehensive framework for identifying and mitigating risks, integrating risk management seamlessly into Agile processes for AI and ML development. Findings: The study introduces four technological themes critical for risk mitigation: dynamic distribution of resources, model robustness, risk integration, and quality assessment of information. These themes provide actionable strategies for reducing risks throughout the Agile AI/ML development lifecycle, ensuring that risk assessment and mitigation are integral to project planning and execution. Unique contribution to theory, practice, and policy: The study contributes to both theory and practice by offering a detailed, actionable framework for risk management in Agile AI/ML projects. It advocates for the adoption of adaptive technologies and tools, continuous stakeholder engagement, and adherence to ethical standards. Recommendations include validation of the framework through empirical research and ongoing longitudinal evaluations to adapt and refine risk management practices. This approach aims to enhance the reliability and efficiency of project outputs in dynamic environments, providing a significant foundation for policy development in technology project management.