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This paper investigates the relationship between risk management practices and potential fraudulent financial reporting in Malaysia by considering recent regulatory reforms of the Malaysian government on risk management practices.

The sample of this study was based on 257 firm-year observations during the 2012–2017 period. This study employed panel-least square regressions with period fixed effects.

This study found a significant association between risk management activities in the disclosure and potential fraudulent financial reporting. Nevertheless, this study found there is insignificant effect of the risk-management committee in reducing potential of fraudulent financial reporting.

This study is a pioneer research that relates firms’ risk management practices with potential fraudulent financial reporting measured by F-score. Thus, this study provides an insight to regulators on the extent of risk-management practices in deterring potential fraudulent financial reporting which can be used as an input for greater enforcement of risk-management regulations.

The purpose of this research was first to determine the competencies mandatory of risk managers, and second, to consider the implications of such competencies in determining modules appropriate for inclusion in any prospective undergraduate qualification with specialisation in risk management.

A qualitative research approach was followed, involving academics teaching risk management in a focus group and making use of interactive qualitative analysis (IQA).

The competencies identified were business management skills, financial knowledge, an understanding of the risk management process, governance and compliance, people management and technical skills. These will be explained in greater detail in the paper.

The implications for teaching are that an undergraduate curriculum in risk management will have to combine majors such as business management, financial management, risk management, industrial psychology and communication. These majors need to be complemented by modules in governance and compliance management, as well as information and communication technology.

The implication for practice is that risk management professionals and members of the Institute of Risk Management of South Africa need to avail themselves to serve on an advisory board of academic departments offering risk management qualifications. Risk management is a developing science and requires inputs about research and the curriculation of qualifications.

The implication for public policy is that the South African Qualifications Authority and the Council for Higher Education should reconsider their requirements for designators (specialised qualifications). The implications for research are that IQA provides clarity on the knowledge and skills required to develop a competency-based qualification in risk management. Further research should benchmark qualifications and propose a curriculum for a bachelor’s degree in risk management.

The use of IQA is a novel way of ensuring rigour and objectivity in arriving at a description of the required knowledge, skills, values and attributes of risk managers. This paper will assist in the compilation of a new curriculum for an undergraduate qualification in risk management; thus, ensuring such qualification will provide a competency-based qualification that will meet the needs of the profession.

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.

Due to its fast growth, cross-border e-commerce (CBEC) is becoming a popular internationalization model, especially in those destination markets with impressive e-commerce development like China. However, CBEC also brings new logistics challenges and uncertainty. This paper aims to understand how companies cope with logistics uncertainty in this field and whether the different types of uncertainty influence the risk management strategies adopted to face them.

A survey targeting online exporters to China and third-party forwarding logistics service providers (3PFLs) is conducted. A structural equation model (SEM) analysis is performed to test the possible relationship between the adopted risk management strategies and the types of uncertainty. The type, industry and size of the company, as well as the distance between the company's home country and China, are used as control variables in the study. Survey results are enriched via interviews with some of the respondents.

The risk management strategies adopted are dependent on the type of logistics uncertainty that the companies face and, to a minor extent, on the industry the company operates in. Conversely, no significant influence is exerted by other types of control factors, i.e. home country, company size or company type.

The paper investigates logistics uncertainty and risk management approaches in the novel context of CBEC. A systematic review of relevant sources of uncertainty is offered to help both scholars and practitioners understand the current complexities of CBEC. From a theoretical perspective, the paper models the investigated concepts in light of the contingency approach. From a practical perspective, results can be of interest since the list of proposed items can support risk identification and evaluation while the interviews with managers can provide insights on risk management practices.

The purpose of this study is to examine the relationship between corporate governance and risk management of Indonesian banks.

Implementation of good corporate governance is measured by good corporate governance composite rating, which is the result of bank's self-assessment. Bank risk managements are measured by market risk, credit risk, liquidity risk and operational risk.

The study results showed that good corporate governance implementation in Indonesia was able to influence bank risk. There were differences in credit risk, liquidity risk and operational risk in banks with different governance ratings, but not at market risk.

The effectiveness of risk management and good corporate governance implementation is needed to enable banks to identify problems early, to follow up on rapid improvements and to be more resilient to crises. This study is an analysis of the relationship between corporate governance and banks' risk management in Indonesia. In particular, risk management is measured by four risks: market risk, credit risk, liquidity risk and operation risk.

The purpose of this paper is to study the effectiveness of the risk management system in the European context, especially with regard to the risk management committee, the uncertainty of the environment and company performance. In summary, it evaluates European companies listed on the stock exchange in France, Germany and the United Kingdom to determine how risk management systems influence financial companies' performance.

To study the effectiveness of risk management systems and their influence on performance, the large companies selected in our sample are fairly representative of the European market, according to the Dutch indices of each country (SBF 120 in France, HDAX 110 in Germany and FTSE 100 in United Kingdom).The empirical evidence is based on an international quantitative analysis, using a data set involving 320 companies listed on the stock exchange over a ten-year period from 2005 to 2014.

The results indicate that the establishment of a risk management and control system by a company positively influences its management, and its performance level and value creation also improve. The results of this study demonstrate a significant strengthening of the role of the risk management committee in the three countries. The surveillance function is reinforced, and in particular, the internal control system is accentuated.

This study has some limitations that can form leads for future research. One of these limitations is the sample size. The authors have represented the European context by three countries that certainly constitute great European powers, but have regulations different from other countries. The company size is also a possible research element. Indeed, risk management system varies between large, small and medium-sized enterprises, so it is important to study each type of company well.

This study identifies the risk management committee as a mechanism of control that is highly important in the company, and it proposes an international framework that comparatively and empirically evaluates how the risk management system used in large European companies can improve their financial performance.

The purpose of this paper is to examine the Company Dynamic Response Map (CDRM) risk management model that uses the dynamic capabilities concept. The study examines risks associated with strategic decision-making in construction projects and evaluates proposed methods that connect the dynamic capabilities of project-based organisations with risk management.

This preliminary study examines risks associated with strategic decision-making in construction projects and evaluates a proposed model that connects the dynamic capabilities of project-based organisations with risk management. Specifically, the CDRM model is evaluated, a risk management model developed by Arena et al. (2013) to better respond to risks and opportunities based on the concept of dynamic capabilities.

We argue that although the CDRM presents a promising development in that it uses dynamic capabilities prospectively in a risk management model to produce tangible results, there are, nonetheless, impediments to the CDRM being used by construction clients. The primary impediment relates to the issue of categorisation, the difficulty in assigning a specific identified risk to a particular category of dynamic capabilities.

A conceptual argument is made and not an empirical one.

The CDRM model was developed to be used in practice and this paper evaluates that model.

Contributes to both the dynamic capabilities literature as well as risk management literature. The paper ends with a discussion on the possible merits of the CDRM, and an evaluation on potential impediments to its use by construction clients.

The future retirement of US Air Force (USAF) legacy weapon systems (WSs) removes their associated funding from within the Air Force Working Capital Fund and their parts from its organic supply chain inventory. The trending outsourcing of product support to contracted logistics support and its potential long-term consequences to the USAF government-owned, government-operated, organic supply chain and the reconstitution capabilities it enables in the USAF’s organic industrial base, suggests the need to assess its risks. Although there is an existing body of research into the risks of outsourcing the USAF’s industrial repair, and federal legislation such as Core 50/50 laws enacted to institutionalize its risk management, there is comparatively little research into the outsourcing risks to the long-term viability of the supply chain on which that repair capability is dependent. The aim of this research is to fill that research gap by assessing and modeling those risks. This research concludes by providing several future research directions that may be evaluated to provide more detail.

Leveraging a conceptual model derived from research and a multi-criteria analysis framework to assess supply chain risk. Quantifying the predicted impact of retirements on funding and inventories of unique parts. Modeling the potential risk due to WS retirement.

Results indicated long term enterprise risks to the Air Force’s supply chain correlated to the retirement of WSs and their associated funding and spare parts inventory.

This research provides an in-depth evaluation of the USAF’s supply chain to assess the holistic risk of product support outsourcing and its long-term impacts on viability by using resource-based view and contingency theory as theoretical underpinnings. In addition, insights and implications for defense supply chain managers and decision-makers.

This paper aims to explore the reporting challenges and related organisational mechanisms of change associated with disclosing corporate risks within integrated reports.

This paper adopts a Latourian performative approach to explore the organisational mechanisms of change in terms of networks of actors, both “human” and “non-human”, involved in the preparation of risk-related disclosure. Empirical evidence is collected by means of in-depth interviews with the preparers of an integrated reporting pioneer company.

Preparing disclosure on corporate risks in the context of integrated reporting demands close interaction among several actors. When disclosure shifts from listing key risks to providing information on how these risks are managed or connect with corporate strategy and value creation, departments not usually involved in corporate reporting play an active role and external stakeholders offer pertinent insights, benchmarks and feedback. Integrated reporting and risk management frameworks are the “non-human” actors that facilitate the engagement of diverse “human” actors.

Preparers should be aware that risk disclosure within integrated reports requires collaboration among (“human”) actors belonging to different departments and the engagement of external stakeholders. Preparers should consider the frameworks of integrated reporting and risk management as facilitators of cross-departmental discussions and dialogue, rather than mere contributors of guidelines and recommendations.

This study enriches the scant literature on organisational mechanisms of change made in response to integrated reporting challenges, showing subsequent advancements in the organisational process underlying the preparation of risk disclosure.

In the context of the COVID-19 pandemic, this study investigates a variety of approaches to supply disruption risk management for achieving effective responses for resilience at the supply management subunit level (e.g. category of items). Drawing on the attention-based view of the firm, the authors model the attentional antecedents of supply resilience as (1) attentional perspectives and (2) attentional selection. Attentional perspectives focus on either supply risk sources or supply network recoverability, and both are hypothesised to have a direct positive association with supply resilience. Attentional selection is top down or bottom up when it comes to disruption detection, and these are hypothesised to moderate the association between disruption risk management perspectives and resilience.

Conducted at the early phases of the COVID-19 pandemic, this study employs a hierarchical regression analysis on a multicountry survey of 190 procurement professionals, each responding from the perspective of their own subunit area of supply responsibility.

Both attentional disruption risk management perspectives are needed to achieve supply resilience, and neither is superior in terms of achieving supply resilience. Both the efficiency of the top down and exposure to the unexpected with the bottom up are needed – to a balanced degree – for improved supply resilience.

The results encourage firms to purposefully develop their supply risk management practices, first, to include both perspectives and, second, to avoid biases in attentional selection for disruption detection. Ensuring a more balanced approach may allow firms to improve their supply resilience.

The results contribute to the understanding of the microfoundations that underpin firms' operational capabilities for supply risk and disruption management and possible attentional biases.