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The purpose of this paper is to highlight the main findings of a successfully defended doctoral thesis that studied factors or interventions causing the discrepancy between how adequate project risks should be managed and how project risks are actually managed.

The approach involved interviews and a survey using questionnaires gathered data from project managers about their experiences with project risk management during two phases of fieldwork. The first phase included in‐depth interviews with information technology (IT) project managers in order to explore patterns involving risk mediators and their influence on project risk management. A web‐based survey was used in the second phase for the purpose of testing these patterns on a wider range of project managers.

Specific risk‐related interventions strongly influence the effective use of project risk management: project managers tended to deny, avoid, ignore risks and to delay the management of risk. Risks were perceived as discomforting, not agreed upon. IT project managers were unaware of risks and considered them to be outside their scope of influence and preferred to let risks resolve themselves rather than proactively engaging with them. As a consequence, factors such as the lack of awareness of risks by IT project managers appeared to constrain the application of project risk management with the result that risk had an adverse influence on the outcome of IT projects.

The underlying rational assumptions of project risk management and the usefulness of best practice project risk management standards as a whole need to be questioned because of the occurrence of interventions such as the lack of information. IT project managers should first prevent risk‐related interventions from influencing the use of project risk management. However, if this is not possible, they should be prepared to adapt to risks influencing the project outcome.

The paper contradicts the myth of a “self‐evidently” correct project risk management approach. It defines interventions that constrain project manager's ability to manage project risk.

Introduces the basic concepts of risk management and their application to the field of facilities management (FM). Identifies the main classes of risk relevant to FM and introduces a model for determining the exposure of an organization to risk and for identifying the level of control that may be exercised over particular risks. Discusses responsibilities for risk and provides a plan of action for risk management.

States that information and help on managing business risk was sought by the Financial and Management Accounting Committee of the International Federation of Accountants (IFAC). Examines Pricewaterhouse‐Coopers part in this – in their guise as Global Risk Management Solutions and the guidance in an emerging area. Further discusses risk management and the interest in it, its improvement possibilities and the adoption of an integrated approach. Proposes that the implementation of risk architecture is not a response to risk but rather a paradigm shift that involves enterprises changing.

The purpose of this paper is to analyze the management process considering risks and performances in developing new products.

The paper provides risk factors and performance factors based on literature reviews and then discusses risk and performance management processes during the product development period. Some lessons for effective risk management and performance measures are reported.

The timing of risk management and performance measures is important to the impact level of performance.

This proposed framework could be used as a basis for systematic management of R&D investment projects.

The paper provides insights into the R&D committee's role in developing new products.

Against the backdrop of the fledgling entrepreneurship development and the imperatives of risk management to mitigate failure, this chapter discusses the impact of risk management practice on the development of African businesses. It also considers how best to align the practice of risk management in order to achieve business continuity. More than ever before, global competitiveness and the need to trade‐out of declining profits are currently driving businesses into risk management efficiencies in order to continue achieving increased returns on assets employed/equities for their shareholders. The attainment of these growth objectives can often be affected by several types of business risk (financial and operational) coupled with unpredicted movements in prices. These movements especially in times of high volatilities impact materially on profit growth potentials regardless of how well a business is managed. This chapter suggests how African business executives can evolve their business management styles to imbed risk management at all stages.

The purpose of this paper is to develop a General Systems Theory (GST) risk management framework and conducts a preliminary investigation into its potential benefits.

A risk management framework with four domains is developed by applying GST to property. Risk management in five listed Australian Real Estate Investment Trusts (A‐REITs) is benchmarked against the GST ideal using public web‐sites information. A‐REIT volatility‐adjusted returns are calculated using Treynor ratios for the year to May 2010. The link between risk management score and entity performance is then investigated.

The GST framework directs attention to risks involving surveillance, capacity and controls. However, as predicted by the Efficient Market Hypothesis (EMH), the study found no link between assessed risk management and volatility‐moderated annual returns to May 2010.

The risk scoring was predicated on publicly available data, with limited analysis of financial statements. The sample size was restricted.

Successful entities are well governed, focused and innovative. Robust finances allow exploitation of emerging opportunity when business conditions become favourable. Planning and environmental management capabilities are essential.

The paper makes conceptual and practical contributions. Conceptually, it develops a GST risk management framework. Practically, albeit for a handful of entities, the paper illustrates how the GST approach to risk management could be effectively deployed. The paper also outlines a pathway for more refined risk management research.

Aims to identify awareness of and involvement in risk assessments, training, incident reporting, information giving and consenting in an acute health care context. Explores how nurse managers perceived risk management as a concept and if they saw advanced neonatal nurse practitioners having a role to play in this activity. The method used was a postal survey of 62 nurse managers or clinical specialists responsible for neonatal nursing care services within NHS Trusts in the UK. Results show that while the nurse managers studies understood the definition of risk management in general, they were more vague about certain aspects of that definition. The nurse managers appeared to be passive in their dissemination and taking forward of risk management strategies, rather than proactively “promoting and helping them forward” as may be expected in facilitative managerial behaviour. Concludes that the challenges of clinical governance demand more proactive approaches to effect and demonstrate change, and support ongoing clinical quality improvements.

The objective of this research is to investigate the capabilities of the ChatGPT GPT-4 model, a form of artificial intelligence (AI), in comparison to human experts in the context of construction project risk management.

Employing a mixed-methods approach, the study draws a qualitative and quantitative comparison between 16 human risk management experts from Finnish construction companies and the ChatGPT AI model utilizing anonymous peer reviews. It focuses primarily on the areas of risk identification, analysis, and control.

ChatGPT has demonstrated a superior ability to generate comprehensive risk management plans, with its quantitative scores significantly surpassing the human average. Nonetheless, the AI model's strategies are found to lack practicality and specificity, areas where human expertise excels.

This study marks a significant advancement in construction project risk management research by conducting a pioneering blind-review study that assesses the capabilities of the advanced AI model, GPT-4, against those of human experts. Emphasizing the evolution from earlier GPT models, this research not only underscores the innovative application of ChatGPT-4 but also the critical role of anonymized peer evaluations in enhancing the objectivity of findings. It illuminates the synergistic potential of AI and human expertise, advocating for a collaborative model where AI serves as an augmentative tool, thereby optimizing human performance in identifying and managing risks.

In developing countries, how risk management technologies influence management accounting and control (MAC) practices is under-researched. By drawing on insights from institutional studies, this study aims to examine the multiple institutional pressures surrounding an entity and influencing its risk-based management control (RBC) system – that is, how RBC appears in an emerging market attributed to institutional multiplicity.

The authors used qualitative case study research methods to collect empirical evidence from a privately owned Egyptian insurance company.

The authors observed that in the transformation to risk-based controls, especially in socio-political settings such as Egypt, changes in MAC systems were consistent with the shifts in the institutional context. Along with changes in the institutional environment, the case company sought to configure its MAC system to be more risk-based to achieve its strategic goals effectively and maintain its sustainability.

This research provides a fuller view of risk-based management controls based on the social, professional and political perspectives central to the examined institutional environment. Moreover, unlike early studies that reported resistance to RBC, this case reveals the institutional dynamics contributing to the successful implementation of RBC in an emerging market.

Large-scale farm management in China has developed rapidly in recent years. Large-scale farmers face substantial operating risks, requiring extensive price risk management. However, the agricultural insurance and futures markets in China are incomplete. This study aims to analyze the price-risk-management behaviors of large-scale farmers under incomplete market conditions, with a focus on the interconnections between large scale farmers' subjective preferences (risk preferences, time preferences), liquidity constraints and their price risk management.

The authors construct an analysis framework to reveal the impact of large-scale farmers' risk preferences, time preferences and liquidity conditions on their price-risk-management behaviors under incomplete market conditions. Using data from field surveys and subjective preference experiments involving 409 large-scale grain farmers in China, an empirical analysis was conducted using the bivariate probit model.

The results show that risk-averse farmers will use risk transfer (such as contract farming) and risk diversification (such as multi-period sales) to avoid price risk. However, farmers subject to liquidity constraints and strong time preferences will not choose risk diversification, and the interaction between time preferences and liquidity constraints will strengthen this decision. The larger the farm-management scale, the greater the impact.

The authors focus on rapidly developed large-scale farm management in China. Appropriate price risk management is required by large-scale farmers due to their substantial operating risks. Considering the incomplete conditions of agricultural insurance and futures markets, the results of this study will help identify behavioral characteristics of large-scale farmers and optimize their price-risk-management strategies, further stabilizing large-scale farm management.