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Few of the established risk identification methods refer to low-severity yet high-frequency safety risks data that may lead to several safety risks being ignored, thus reducing the potential of learning from a considerable number of cases. The purpose of this study is to explore a new valid method based on preaccident safety supervision data to identify these minor construction safety risks during routine construction operations.

A total of 329 official construction safety supervision reports containing 5,159 safety problem records from Shanghai between 2016 and 2018 served as raw material for in-depth analysis. Given the characteristics of the data collected, text mining integrated with natural language processing was applied to review the supervision reports and group safety risks automatically.

This study clarifies the way in which the supervision data should be employed to analyze high-frequency–low-severity safety risks. From these data, seven unsafe-act-related and nine unsafe-condition-related risks are identified. Regarding unsafe-act-related risks, inappropriate human behaviors could usually occur in personnel management, contract management, expense management, material management and acceptance work. For unsafe-condition-related risks, hoisting, scaffolding and reinforcement works are the main generators of onsite safety hazards during construction operations.

The study includes implications for project managers and supervisors to facilitate more effective proactive risk management by paying more attention to collecting and employing the supervision data established in each routine inspection.

Whereas previous research focused on analyzing severe accidents, this study seeks to identify the high-frequency–low-severity construction safety risks using the preaccident supervision data. The findings could provide a new thought and research direction for construction safety risk management.

The purpose of this research is to study the weather risk management practices of agriculture producers. In particular, the authors look at the extent to which farmers use weather derivatives to complement insurance. Unlike insurance, weather derivatives mitigate risk associated with low intensity, high probability events and therefore offer the potential of a more complete hedge than insurance alone.

The authors conducted a survey of grain farmers in the province of Saskatchewan, Canada, a typical jurisdiction in which farmers tend to face weather events that are high in frequency but low in severity, to study the usage of weather derivatives compared to insurance and identify the hurdles to their usage.

The authors find that fewer than 10 percent of their respondents use weather derivatives. Consistent with previous literature in other contexts, they identify participation costs, especially lack of awareness, to be the most significant hurdle to their usage.

A limitation of this study is that the data were collected using a survey methodology and are therefore subject to the usual risks of bias associated with that approach. Moreover, because the authors' survey was delivered online, it may have favoured the participation of farmers that were more comfortable with technology and some bias may have also been introduced into the data as a result.

The authors' findings suggest that there is significant potential to improve farmers' ability to hedge weather risk and thereby improve economic outcomes if the major barriers to the usage of weather derivatives can be overcome. The study paves the way for further research to support the development of public policy strategies that could help farmers take advantage of weather derivatives as part of their inventory of risk management tools.

To the authors' knowledge this is the first study that quantifies the usage of weather derivatives by agriculture producers and identifies the hurdles.

Over recent decades, banks and bank regulators have devoted substantial resources to managing market risk and credit risk. More recently industry and regulatory focus has shifted to the mitigation of operational risk. This article addresses the Advanced Measurement Approaches under which banks would be allowed to determine capital requirements, based on their own internal assessment of operational risk, according to standards set by the Basel Committee. The authors propose adopting the concept of “nearmiss” risk assessment employed in the chemical, health, and airline industries to internally evaluate operational risk.

This article discusses the three approaches for setting capital charges for operational risk as proposed by the New Basel Accord. The article addresses a series of questions raised by the Basel proposal related to defining, measuring, and reserving for operational risk. The author suggests that capital reserves may actually serve as a deterrent to reducing operational losses.

Operational or event risk is not a new phenomenon for financial services companies. However, its measurement, as part of integrated risk management programs, has been the subject of recent focus. Property and casualty insurers have measured components of this risk class as part of the pricing and underwriting process. Although all financial services firms are exposed to direct and indirect (e.g., reputational) costs of operational risk events, few financial services firms actually measure “operational risk.” This article explores ways in which this may be done in practice.

The Public Organisation Risk Management concept challenges managers to develop a means of systematically identifying and managing key features of the organisation’s uncertainty field (its risks, uncertainties, the unknown and emergent, and the human perception/behaviour component). This presents an immense challenge, as it seems an organisation would need – in some sense – to identify all aspects of the environment before then isolating that subset of the most important risks and uncertainties. Clearly this is impossible, but a conscious awareness of this limitation might be valuable in its own right.

Assessment and analysis refers to the systematic and ongoing process by which a public organisation identifies, analyses, and measures the key components of its uncertainty field. A foundation concept that governs assessment and analysis is the view that public organisations are, in effect, collections of contracts, obligations, commitments, and agreements between the government and resource holders. Those arrangements serve as means by which the public organisation becomes exposed to the elements of the uncertainty field. Those elements, in turn, arise from the physical, social, political, economic, legal, operational, and cognitive environments.

A more detailed exposition of assessment and analysis appears in both Chapters Six and Seven. Here, in Chapter Five the goal is to set the foundation for such an exploration. Key terms and concepts are presented, and some core issues are introduced. As with all chapters, the discussion will address what have been identified as ‘traditional’ as well as enterprise risk management influenced perspectives. This in turn will lead to some coverage of alternative thinking about the assessment and analysis process.

The purpose of this paper is to propose a comprehensive and coherent approach for managing risks in supply chains.

Building on Tummala et al.'s Risk Management Process (RMP), this paper develops a structured and ready‐to‐use approach for managers to assess and manage risks in supply chains.

Supply chain risks can be managed more effectively when applying the Supply Chain Risk Management Process (SCRMP). The structured approach can be divided into the phases of risk identification, risk measurement and risk assessment; risk evaluation, and risk mitigation and contingency plans; and risk control and monitoring via data management systems. Specific techniques for conducting this process are suggested.

While supply chain risk management is an emerging and important topic in our dynamic and interconnected world, conceptual frameworks providing a clear meaning and normative guidance are scarce (Manuj and Mentzer, 2008). This paper presents such a framework, offering structure and decision support for managers.

Construction projects are risky. However, the characteristics of the risk highly depend on the type of procurement being adopted for managing the project. A build‐operate‐transfer (BOT) project is recognized as one of the most risky project schemes. There are instances of project failure where a BOT scheme was employed. Ineffective rts are increasingly being managed using various risk management tools and techniques. However, application of those tools depends on the nature of the project, organization's policy, project management strategy, risk attitude of the project team members, and availability of the resources. Understanding of the contents and contexts of BOT projects, together with a thorough understanding of risk management tools and techniques, helps select processes of risk management for effective project implementation in a BOT scheme. This paper studies application of risk management tools and techniques in BOT projects through reviews of relevant literatures and develops a model for selecting risk management process for BOT projects. The application to BOT projects is considered from the viewpoints of the major project participants. Discussion is also made with regard to political risks. This study would contribute to the establishment of a framework for systematic risk management in BOT projects.

Examines the rapid advances in risk measurement capabilities of financial institutions with the Basle Accord standards firmly in mind. Gives firm guidelines from the Basle Committee and recommendations and examples. States many financial institutions have developed methods for relating risk to capital, similar to the framework outlined in the recommendations. Looks at applications of economic capital and explores how these can be used to improve management decision making. Sums up that the need for financial institutions to design and implement what is required is pressing indeed.