Risk Contingency Research Articles

GRANTWRITING DURING MARTIAL LAW: RISKS IN AN ENVIRONMENT OF INSTABILITY

The article examines the essence of the category of «risk» in the context of grant-making in martial law. The author analyses the specific threats faced by grantees in the context of armed conflict, including political instability, economic crisis, humanitarian disaster, and logistical problems. Particular attention is paid to assessing the likelihood of these risks, their impact on project implementation, and developing strategies to mitigate the negative consequences. The aim of the study is to develop practical recommendations for grantees and grantors that will facilitate more efficient use of grant funds and establish close cooperation between all stakeholders. The document emphasizes the importance of collective efforts to overcome the challenges of martial law and achieve common goals. The study delves into the multifaceted nature of risks in wartime grantmaking, taking an interdisciplinary approach. It draws on knowledge from different fields such as management, sociology and political science to develop a comprehensive understanding of the challenges and opportunities. This interdisciplinary approach allows us to find innovative solutions and develop more robust risk management strategies. The study highlights the importance of proactive risk management and contingency planning. By anticipating potential risks and developing strategies to mitigate their impact, grantees can increase the likelihood of project success. The paper emphasizes the need for flexible and adaptive approaches that can respond to rapidly changing circumstances. It also highlights the importance of collaboration between grantees, donors and other stakeholders to share knowledge, resources and best practices. By developing strong partnerships, complex problems can be addressed and the resilience of conflict-affected communities can be strengthened. The findings of this study have important implications for policy makers, practitioners and researchers. By providing a deeper understanding of the risks and challenges associated with grantmaking in wartime, this research can contribute to the development of more effective grantmaking policies and practices. In addition, the recommendations presented in the paper can help grantees and donors make more informed decisions and allocate resources more effectively.

Efficient Positioning of QTL and Secondary Limit Thresholds in a Clinical Trial Risk-Based Monitoring.

In the high-stakes world of clinical trials, where a company's multimillion-dollar drug development investment is at risk, the increasing complexity of these trials only compounds the challenges. Therefore, the development of a robust risk mitigation strategy, as a crucial component of comprehensive risk planning, is not just important but essential for effective drug development, particularly in the RBQM (Risk-Based Quality Management) ecosystem and its component-RBM (Risk-Based Monitoring). This emphasis on the urgency and significance of risk mitigation strategy can help the audience understand the gravity of the topic. The paper introduces a novel modeling framework for deriving an efficient risk mitigation strategy at the planning stage of a clinical trial and establishing operational rules (thresholds) under the assumption that contingency resources are limited. The problem is solved in two steps: (1) Deriving a contingency budget and its efficient allocation across risks to be mitigated and (2) Deriving operational rules to be aligned with risk assessment and contingency resources. This approach is based on combining optimization and simulation models. The optimization model aims to derive an efficient contingency budget and allocate limited mitigation resources across mitigated risks. The simulation model aims to efficiently position each risk's QTL/KRI (Quality Tolerance Limits/Key Risk Indicators at a clinical trial level) and Secondary Limit thresholds. A case study illustrates the proposed technique's practical application and effectiveness. This example demonstrates the framework's potential and instills confidence in its successful implementation, reassuring the audience of its practicality and usefulness. The paper is structured as follows. (1) Introduction; (2) Methodology; (3) Models-Risk Optimizer and Risk Simulator; (4) Case study; (5) Discussion and (6) Conclusion.

Supply chain risk management for humanitarian aid delivery: risk identification and contingency analysis

PurposeHumanitarian organizations are responsible for delivering aid under diverse circumstances in various contexts. We argue that humanitarian organizations face specific challenges in their logistics and operations. Thus, adequate supply chain risk management is required to facilitate effective and efficient humanitarian aid delivery.Design/methodology/approachWe first identify potential supply chain risks in humanitarian aid delivery from the literature. We then utilize an expert survey to determine the probability and impact ratings of the identified risks, assessing the importance of six aggregated risk categories. To examine the influence of contingencies on a country, organization, and crisis level, we investigate the effect of ten contextual factors on the importance of different supply chain risks in humanitarian aid delivery.FindingsWe derive six relevant risk categories for humanitarian aid delivery and develop five propositions concerning criticality, context-sensitivity, relevant contingencies, and risk management approaches. Findings and propositions encourage and guide future research on the topic.Practical implicationsRisk identification and assessment support mission-specific decision-making. Our findings encourage and foster organizational learning between missions. A differentiated view of risk types allows for stronger inter-organizational collaboration within the sector and beyond.Originality/valueThis study is among the first to derive supply chain risks and categories specific to humanitarian aid delivery. Contingency analysis on a country, organization, and crisis level offers unique insights into risk management in humanitarian aid delivery.

Cultivating Excellence: Formalizing Street Food Enterprises in Bangladesh through Quality Management and Customer Relationship Strategies

Purpose: Street foods are enjoyed by all walks of life throughout the world. It offers a variety of delicacies, easily accessible and affordable. The street food industry in Bangladesh is of no exception. However, street food vendors in Bangladesh typically come from low socioeconomic backgrounds and lack appropriate understanding of good production methods resulting in poor sanitary standards. The purpose of this study is to examine the prospects for sustainability and growth in Bangladesh's street food business since this sector has great economic potential for the country. Approach: Qualitative research approach was employed by interviewing ten street food vendors. The interviewees were asked on a wide range of questions including their history, understanding of quality management, understanding of customer relationship management, planning and delivery, and the regulatory frameworks under which business is conducted (18 questions in all). Findings: The findings reveal that street food vendors are not well-versed in waste reduction, hygiene, or food quality. They have very limited knowledge on how to manage their customer interactions or develop any skills in this area. Formalization of street food business is observed as a key driver towards sustainability and growth for this sector. Originality: This study brings to light the challenges of street food in Bangladesh arising from weakness in quality management and customer relationship management roadmap. Risk management, contingency planning, training, formal licensing, and audits are critical in order to improve industry sustainability.

Beyond Conventional Threat Defense: Implementing Advanced Threat Modeling Techniques, Risk Modeling Frameworks and Contingency Planning in the Healthcare Sector for Enhanced Data Security

This research study explores the integration of advanced threat and risk modeling with scenario and contingency planning to enhance security and resilience within healthcare organizations. Given the escalating complexity and frequency of cyber threats targeting the healthcare sector, the study assesses the efficacy of a synergistic cybersecurity approach. Utilizing a quantitative research methodology, data were collected through a survey administered to 452 healthcare practitioners, focusing on their perceptions and experiences with cybersecurity threats, risk modeling techniques, and the effectiveness of scenario and contingency planning. The survey incorporated a structured questionnaire utilizing Likert scale closed-ended questions, analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed four hypotheses related to the impact of advanced threat and risk modeling and scenario and contingency planning on the cybersecurity posture and operational resilience of healthcare organizations. Results indicated a significant positive relationship between advanced threat modeling and scenario planning with the cybersecurity posture of healthcare organizations, which, in turn, notably enhances organizational resilience. Specifically, the study found that integrating advanced threat and risk modeling with scenario and contingency planning significantly improves the ability of healthcare organizations to identify, assess, and mitigate cyber threats effectively. Furthermore, the findings suggest that such integration contributes to more informed decision-making, improved information security management practices, and more effective and efficient digital crime investigation processes. The research study concludes that a comprehensive approach integrating advanced threat and risk modeling with scenario and contingency planning significantly enhances healthcare organizations' cybersecurity posture and operational resilience. The study recommends adopting an integrated cybersecurity strategy, continuous cybersecurity education for all organizational members,regular cybersecurity assessments, and fostering collaboration for enhanced cybersecurity intelligence.

STABILITY OF SHARIAH-COMPLIANT STOCKS IN INDONESIA, MALAYSIA, AND GCC: THE ROLES OF MONETARY AND FISCAL POLICIES AND CONTAGION

This study examines the roles of monetary and fiscal policies and contagion in the market stability of Indonesia, Malaysia, and the Gulf Cooperation Council countries during the pandemic and post-pandemic periods from 2020 to 2023. We find that fiscal policy measures, such as reserve requirements and the government expenditure-to-GDP ratio, stabilised the financial markets during the pandemic. As for monetary policy tools, while they had limited effectiveness during the pandemic, they regained significance in stabilizing the markets post-pandemic. We also find that the patterns of market contagion patterns tend to vary across countries, with Qatar and Bahrain showing changing levels of contagion while Saudi Arabia, UAE, Kuwait, and Oman consistently displaying moderate to high contagion, the results that are in line with the adage, "when the U.S. sneezes, the global economy has a cold". The study's implications for managers and policymakers in Muslim-majority countries include robust risk management and contingency planning due to higher market contagion in economically integrated economies. Additionally, the limited impact of conventional monetary policies during the pandemic highlights the need to explore alternative approaches to enhance market stability during economic downturns.

The Influence of Risk Management Practices on Financial Market Stability: Insights from Lebanon

This research investigates the relationship between various risk management practices, including diversification, hedging, and contingency planning, and their impact on the dependent variable, financial market volatility. The study is based on a sample size of 127 observations in the context of Lebanon's financial markets. The primary objective of this research is to analyze how risk management practices employed by financial institutions and market participants affect the stability of Lebanon's financial markets. To achieve this, the study employs a quantitative approach, utilizing statistical analysis and regression modeling to assess the relationships between the independent variables (risk management practices) and the dependent variable (financial market volatility). The independent variables in this study encompass risk management practices, namely diversification, hedging, and contingency planning. These practices are crucial components of financial risk management strategies employed by institutions and investors. By examining their influence on financial market stability, this research aims to provide insights into effective risk mitigation strategies within the Lebanese financial context. The decision of Lebanon as the study's context is significant due to the unique economic and geopolitical challenges faced by the country. The financial markets in Lebanon have been subject to various external and internal pressures, making the analysis of risk management practices particularly relevant. The sample size of 127 observations allows for robust statistical analysis, ensuring the validity of the findings. The research findings are expected to contribute to the existing body of knowledge on risk management and financial market stability, with potential implications for policymakers, financial institutions, and investors operating in Lebanon and similar emerging market economies.

Beyond Conventional Threat Defense: Implementing Advanced Threat Modeling Techniques, Risk Modeling Frameworks and Contingency Planning in the Healthcare Sector for Enhanced Data Security

Beyond Conventional Threat Defense: Implementing Advanced Threat Modeling Techniques, Risk Modeling Frameworks and Contingency Planning in the Healthcare Sector for Enhanced Data Security

FINANCIAL MANAGEMENT STRATEGIES TO ENSURE STABILITY OF INSURANCE COMPANIES AMID CRISIS SITUATIONS

In the face of economic crises and emergencies, insurance companies are tasked with maintaining stability to safeguard their operations and the interests of policyholders. This article explores various financial management strategies employed by insurancecompanies to ensure stability during crisis situations. The relevance of this topic is underscored by the crucial role insuranceplays in mitigating financial risks for individuals, businesses, and society at large. The aim of this research is to analyze the effectiveness of different financial strategies used by insurancecompanies to overcome crisis situations. Such strategies encompass a range of measures, including robust risk management systems, balanced investment policies, adequate capital reserves, and active asset and liability management methods. By examining these strategies, this study aims to offer insights into how insurancecompanies can enhance their resilience and adaptability amid turbulent economic conditions. Through empirical analysis and case studies, this research elucidates the advantages and drawbacks of implementing various financial management strategies during crisis situations. It identifies key success factors and challenges faced by insurancecompaniesstriving to maintain stability amidst uncertainty. Additionally, the study evaluates the impact of these strategies on financial performance, solvency, and overallresilience of insurancecompanies. The conclusions drawn from this research underscore the importance of proactive financial management in ensuring the stability of insurancecompanies during crises. It also emphasizes the significance of adopting a comprehensive and predictive approach that integrates risk identification, mitigation, and contingency planning into insurers’ core operations. On the other hand, the research findings highlight the crucial role of regulatory oversight and industry collaboration in fostering a stable and resilientinsurance sector. Conducting further scientific research on financial management strategies to ensure stability of insurancecompanies during crisis situations holds significant potential for enhancing resilience in this sector. Assessing the effectiveness of various risk management methods, such as hedging and diversification, will provide better insights into reducing financial instability. Investigating the role of regulatory framework and its impact on the stability of insurancecompanies during crises can offer important recommendations for policymakers and industry practitionersalike.

Analisis Manajemen Kinerja Badan Penanggulangan Bencana Daerah Kabupaten Musi Rawas Utara dalam Mitigasi Bencana Banjir

Geographical conditions of the lowlands, resulting in North Musi Rawas Regency (Muratara) as an area prone to flooding. Handling this, the Regional Disaster Management Agency (BPBD) of Muratara Regency is authorized to carry out disaster management tasks, including flood disaster mitigation as a prevention effort to reduce potential losses due to future disasters. This study aims to analyze the implementation and constraints of the performance management of BPBD Muratara Regency in flood disaster mitigation in Muratara Regency. The results showed that the performance management of BPBD Muratara in flood disaster mitigation with four stages, namely determining approaches, policies, strategies and flood disaster mitigation activities, has not been well implemented. This can be seen by the fact that there are no programs and activities focused on reducing disaster risk, lack of facilities and infrastructure, not maximizing human resource training activities, lack of expert / civil servants, unavailability of Early Warning System (EWS) and not maximizing coordination and collaboration between stakeholders. In addition, there are also obstacles encountered such as the absence of a Disaster Management Plan (RPB). RPB is very much needed in flood disaster mitigation. Because it contains disaster risk assessments, contingency plans, budgets, programs/activities, coordination and collaboration between stakeholders involved.

Purposive Sampling Technique and Ordinary Least Square Analysis: Investigating the Relationship Between Managerial Overconfidence, Transfer Pricing and Tax Management in Indonesian Stock Exchange-Listed Firms

Objective: This study investigates the relationship between managerial overconfidence, transfer pricing, and tax risk, with a focus on tax management's moderating role. Theoretical framework: Tax management is a critical concern due to its pivotal role in financing government activities. Low tax revenues in industries like manufacturing can adversely affect these activities, highlighting the need for effective tax management strategies. Managerial overconfidence can influence these strategies, potentially leading to positive and negative impacts on tax management. Method: Population of this study was manufacturing companies listed in Indonesia Stock Exchange in 2014-2019 period. The analysis made from 2015-2019, while 2014 was used as the basis to estimate the sales and asset growth as the proxy of managerial overconfidence. The sample of this study was selected using purposive sampling technique with the following criteria, manufacturing companies listed in IDX in 2014-2019 period, the company should have at least five companies in sub sector to estimate the managerial overconfidence per subsector to obtain data variation. Results and conclusion: Findings indicate a significant relationship between managerial overconfidence and tax management, with managers demonstrating overconfidence tending to employ aggressive tax management strategies, thus minimizing tax payments. Furthermore, this study reveals inconsistencies in the research surrounding overconfidence's impact on tax management, necessitating further exploration. Implications of the research: These results have implications for understanding the role of managerial traits in the decision-making process and developing effective tax management strategies to maximize government revenue. Originality/Value: The present study confirms the agency theory's efficiency perspective, stating that overconfident managers may minimize tax management practice due to risk contingency or because they consider the long-term benefit cost. Overconfident managers are viewed as more effective in taking advantage of the growth potential, allowing them to enhance the organization's performance instead of minimizing tax payment that contains risk contingency.

Lines of Efforts in Order to Improve the Military Supply Chains Performance in Military Operations

Abstract Supply chain resilience plays a critical role in maintaining operational readiness and effectiveness in military operations. However, the unique challenges faced by military supply chains necessitate tailored approaches to enhance resilience. This paper presents a comprehensive framework for optimizing supply chain resilience in military operations. The proposed framework incorporates key elements such as risk assessment, contingency planning, information sharing, and resource allocation. It leverages advanced analytics techniques, including simulation modeling, optimization algorithms, and real-time data integration, to support decision-making and improve resilience. Results demonstrate that the optimized supply chain resilience strategy significantly enhances the military's ability to respond to disruptions, reduce recovery time, and minimize operational downtime. Moreover, the framework identifies critical vulnerabilities and recommends proactive measures to enhance system robustness. By adopting this framework, military organizations can better prepare for and respond to a wide range of supply chain disruptions, ultimately improving operational efficiency and mission success. The findings of this study contribute to the emerging field of military logistics by providing a systematic approach to optimize supply chain resilience and offering valuable insights for military decision-makers.

Build resilient enterprises with resilient people: the case of ASK Consulting

PurposeWhile strong risk management and contingency planning are important for building capabilities useful for quick adaptation to foreseeable disruptions, they may not be useful for preparing for black swan-type events or situations that lack sufficient precedent to understand how they impact businesses. The key to creating a resilient organization relies most on resilient human capital, who are capable of withering whatever changes Chance may throw at them and the organization.Design/methodology/approachUsing company data and semi-structured interviews, this paper presents the case study of ASK Consulting, a medium-size entrepreneurial enterprise that learned that human resources are the cornerstone of a resilient organization.FindingsResilient people exhibit three common traits: discipline, open-mindedness to change, and a sense of service to the team rather than themselves. Insights about these traits can be elicited by asking prospective employees three questions during their interview.Practical implicationsThis case provides an illustrative case study and straightforward guidance for identifying whether a job candidate has the traits of a resilient person.Originality/valueMuch of the research into organizational resilience focuses on scenario planning, contingencies, and building organizational capabilities. This provides a much more straightforward and actionable approach that focuses on only one type of resource and is not contingent on the availability of slack time and money to implement.

Complexity of options related to restarting oral poliovirus vaccine (OPV) in national immunization programs after OPV cessation.

Background: The polio eradication endgame continues to increase in complexity. With polio cases caused by wild poliovirus type 1 and circulating vaccine-derived polioviruses of all three types (1, 2 and 3) reported in 2022, the number, formulation, and use of poliovirus vaccines poses challenges for national immunization programs and vaccine suppliers. Prior poliovirus transmission modeling of globally-coordinated type-specific cessation of oral poliovirus vaccine (OPV) assumed creation of Sabin monovalent OPV (mOPV) stockpiles for emergencies and explored the potential need to restart OPV if the world reached a specified cumulative threshold number of cases after OPV cessation. Methods: We document the actual experience of type 2 OPV (OPV2) cessation and reconsider prior modeling assumptions related to OPV restart. We develop updated decision trees of national immunization options for poliovirus vaccines considering different possibilities for OPV restart. Results: While OPV restart represented a hypothetical situation for risk management and contingency planning to support the 2013-2018 Global Polio Eradication Initiative (GPEI) Strategic Plan, the actual epidemiological experience since OPV2 cessation raises questions about what, if any, trigger(s) could lead to restarting the use of OPV2 in routine immunization and/or plans for potential future restart of type 1 and 3 OPV after their respective cessation. The emergency use listing of a genetically stabilized novel type 2 OPV (nOPV2) and continued evaluation of nOPV for types 1 and/or 3 add further complexity by increasing the combinations of possible OPV formulations for OPV restart. Conclusions: Expanding on a 2019 discussion of the logistical challenges and implications of restarting OPV, we find a complex structure of the many options and many issues related to OPV restart decisions and policies as of early 2023. We anticipate many challenges for forecasting prospective vaccine supply needs during the polio endgame due to increasing potential combinations of poliovirus vaccine choices.

Corporate vulnerability in the US and China during COVID-19: A machine learning approach

The impact of COVID-19 on stock market dynamics and other macroeconomic indicators has been extensively researched. However, the question of how it affects corporate vulnerability has received less attention. This article aims to fill this gap by examining the implications of COVID-19 on corporate vulnerability in the United States (US) and China, using daily data from January 2020 to December 2021. The empirical results of cointegration analysis demonstrate that COVID-19 considerably worsen corporate vulnerabilities in the long-term in the US and in the short-term in China. Additionally, non-linear results demonstrate long-run asymmetries in the US and short-run asymmetries in China, confirming the accuracy of error prediction and suggesting that US corporations are more exposed to COVID-19-induced risks. The channels through which COVID-19 may affect corporate vulnerability include changes in consumer behavior and demand, disruptions in supply chains, financial stress, government policies and regulations, and changes in the competitive landscape. This study sheds light on the effects of the COVID-19 pandemic on corporate vulnerability in the US and China, revealing regulatory implications that may necessitate greater government involvement, managerial implications that emphasize risk management and contingency planning, and social implications that highlight the importance of prioritizing stakeholder welfare and embracing digital transformation.

Effective Risk Mitigation Strategies in Digital Project Management

In the realm of digital project management, effective risk mitigation is crucial to ensure project success and sustainability. This paper explores various strategies employed to manage and minimize risks in digital projects, focusing on proactive and reactive approaches. Proactive risk mitigation involves identifying potential risks early in the project lifecycle through comprehensive risk assessments and stakeholder consultations. Techniques such as risk registers, SWOT analyses, and scenario planning are pivotal in foreseeing and addressing possible issues before they escalate. Reactive strategies, on the other hand, come into play when unforeseen risks arise. Agile methodologies and iterative development processes provide flexibility, allowing teams to adapt quickly to changing conditions and emerging threats. The integration of risk management tools, such as risk response plans and contingency budgets, is essential for navigating and mitigating unexpected challenges effectively. Furthermore, the paper highlights the importance of continuous monitoring and evaluation in risk management. Leveraging real-time data analytics and feedback loops can significantly enhance a project manager’s ability to anticipate and respond to risks dynamically. By fostering a culture of risk awareness and resilience within the project team, organizations can better manage uncertainties and improve overall project outcomes. The findings suggest that a balanced approach, combining both proactive and reactive strategies, tailored to the specific needs of the project, enhances risk management efficacy. This research provides valuable insights for project managers seeking to refine their risk mitigation techniques and achieve successful digital project implementations.

Alien Species Associated with New Introductions and Translocations of Commercial Bivalves in Italian Marine Waters

Importation and translocation of seeds and live animals for aquaculture purposes are well-established practices in the European and Italian shellfish market. However, these routines may be responsible for alien species introduction and spread, representing a risk for aquaculture activities, human health, as well as for environmental and biodiversity conservation. To estimate and reduce the potential impact of alien and locally absent species on aquatic habitats due to aquaculture practices, Member States have adopted Council Regulation (EC) No 708/2007, which provides guidance for risk analysis and contingency measures for mitigation. Despite this legal framework, traceability data for shellfish movements are currently lacking and need to be improved in all EU Member States. The present work presents an updated literature summary of alien species associated with bivalve farming and trading. The information herein collected will be helpful to upgrade the traceability system of farmed bivalves in Italian marine waters with reference to non-target species, representing a knowledge baseline for setting bio security plans to reduce their risk of introduction and further spreading.

Dispersion modeling and assessment of natural gas containing hydrogen released from a damaged gas transmission pipeline

This paper performs a simulation and assessment of dispersion of natural gas containing hydrogen released from transmission pipeline using a Computational Fluid Dynamics (CFD) approach. A 3D CFD model is established to evaluate the dispersion behavior of hydrogen-enriched natural gas in the hydrogen-natural gas mixing station. The simulations include a matrix of scenarios for hydrogen doping ratios, gas release rates, wind speeds and wind directions. The development process of flammable gas cloud is predicted, and the dangerous area generated in the hydrogen-natural gas mixing station is assessed. Additionally, the effects of some critical factors on flammable gas dispersion behavior are analyzed. The simulations produce some useful outcomes including the parameters of flammable gas cloud and the dangerous area in the station, which are useful for conducting a prior risk assessment and contingency planning.

A Scientometric Analysis of Studies on Risk Management in Construction Projects

Risk management is one of the topical areas in construction project management research. However, no attempt has been made in the past decades to explore the emerging themes in this area. This paper reviews the research trends in risk management in construction. The bibliometric data of 1635 publications between 1979 and 2022 were extracted from Scopus using a set of keywords. The study used VOSviewer and Gephi to conduct a scientometric analysis on the extracted publications. The review outcome indicates a significant increase in publications on risk management in construction, with about 205 publications recorded between 2021 and 2022 alone. Based on this analysis, it is projected that the next decade will see significant research on risk management, especially as the construction industry moves towards Industry 5.0 with many uncertainties. Further, the most productive countries of risk management studies in construction include China, the United States, the United Kingdom, Australia, and Hong Kong. Emerging key research areas are discussed using network diagrams and clusters. These areas include the processes in risk management, risk analytical models and techniques, sources of risk and uncertainties, effective knowledge-based systems for improved risk management, risk contingency in construction contracts, risk-integrated project planning and scheduling, and stakeholder management. The findings of this study inform researchers on the current progress of risk management studies in construction and highlight possible research directions that can be considered.

Horizon scanning for prioritising invasive alien species with potential to threaten agriculture and biodiversity in Ghana

Invasive alien species (IAS) continue to shape the global landscape through their effects on biological diversity and agricultural productivity. The effects are particularly pronounced in Sub-Saharan Africa, which has seen the arrival of many IAS in recent years. This has been attributed to porous borders, weak cross border biosecurity, and inadequate capacity to limit or stop invasions. Prediction and early detection of IAS, as well as mechanisms of containment and eradication, are needed in the fight against this global threat. Horizon scanning is an approach that enables gathering of information on risk and impact that can support IAS management. A study was conducted in Ghana to establish two ranked lists of potential invasive alien plant pest species that could be harmful to agriculture, forestry, and the environment, and to rank them according to their potential threat. The ultimate objective was to enable prioritization of actions including pest risk analysis, prevention, surveillance and contingency plans. Prioritisation was carried out using an adapted version of horizon scanning and consensus methods developed for ranking IAS worldwide. Following a horizon scan of invasive alien species not yet officially present in Ghana, a total of 110 arthropod and 64 pathogenic species were assessed through a simplified pest risk assessment. Sixteen species, of which 14 were arthropods and two pathogens, had not been recorded on the African continent at the time of assessment. The species recorded in Africa included 19 arthropod and 46 pathogenic species which were already recorded in the neighbouring countries of Burkina Faso, Côte d’Ivoire, and Togo. The majority of arthropod species were likely to arrive as contaminants on commodities, followed by a sizable number which were likely to arrive as stowaways, while some species were capable of long distance dispersal unaided. The main actions suggested for species that scored highly included full pest risk analyses and, for species recorded in neighbouring countries, surveys to determine their presence in Ghana were recommended.