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In recent time, stakeholders have called on corporate organizations to develop risk governance (RG) model that could strengthen effective risk disclosure quality (RDQ). Based on this premise, the purpose of this study is to examine the influence of RG on RD quality of 120 corporate organizations.

RG was measured by board risk committee size, board risk committee independence, board risk committee gender diversity, board risk committee expertise, board risk committee effectiveness, chief risk officer (CRO) presence and enterprise risk management (ERM) framework. This study has used both ordered logistic regression and probit regression to analyze the data set.

The number of members on the board risk committee, the proportion of women on that committee, the board expertise, the committee’s effectiveness, the presence of a CRO and the existence of an ERM framework were all found to have an impact on the quality of the risk information disclosed.

The study emphasizes the need for strong collaboration between the corporate board and external assurance in enhancing the quality of RD.

The findings contribute to growing literature in the area of RG and RD in Nigeria and by extension other sub-Saharan African countries.

Few studies have focused on emerging markets owing to difficulties in identifying the real effect of disclosures on these economies. To fill this gap, the purpose of this paper is to first: investigate the main drivers for risk disclosure quality for Chinese financial firms, second: further study the impact of such disclosure on market liquidity.

The sample comprises all financial firms listed in the Shanghai A-shares market for the period 2013–2015. By relying on manual content analysis of annual reports, the risk disclosure quality is measured through a multidimensional approach which encompasses three factors: quantity of disclosure, coverage of disclosure and the semantic properties of depth and outlook. The findings of this paper are based on ordinary least squares and fixed-effects estimations.

The findings suggest that firm characteristics (especially size) influence risk disclosure practices of Chinese financial companies. Furthermore, the authors found that risk disclosure quality has an impact on market liquidity, and when the authors analysed each year the authors noticed that the results were driven by the year 2013; moreover, the authors noticed no or little significance from the period of the emerging financial crisis.

The sample of this paper is limited to financial firms in China. The usage of manual content analysis limits the authors’ ability to investigate risk reporting drivers and its impact on market liquidity on a large scale.

The importance of this paper stems from documenting several reporting incentives concerning not only firms’ quantity, but also firms’ quality of risk reporting. Collectively, the findings support activism for reforms and the enhancement of regulations in China in order to make the market more efficient.

This paper provides new evidence for financial companies in China on the principal drivers for risk disclosure quality and highlights how the quality of such disclosure impacts market liquidity. Furthermore, this paper confirms previous findings on the Chinese market (Ball et al., 2000; Zou and Adams, 2008) in which, given a decreasing but still strong state presence, there is higher stock volatility and weak corporate governance.

This study explores key governance, leadership and management activities that have impact on quality, risk and safety within Australian healthcare organisations.

Current non-executive directors (n = 12) of public and private health boards were interviewed about contemporary approaches to fiduciary and corporate responsibilities for quality assurance and improvement outcomes in the context of risk and safety management for patient care. Verbatim transcripts were subjected to thematic analysis triangulated with Leximancer-based text mining.

Boards operate in a strong legislative, healthcare standards and normative environment of quality and risk management. Support and influence that create a positive quality and risk management culture within the organisation, actions that disseminate quality and risk broadly and at depth for all levels, and implementation and sustained development of quality and risk systems that report on and contain risk were critical tasks for boards and their directors.

Findings from this study may provide health directors with key quality and risk management agenda points to expand or deepen the impact of governance around health facilities' quality and risk management.

This study has identified key governance activities and responsibilities where boards demonstrate that they add value in terms of potential improvement to hospital and health service quality care outcomes. The demonstrable influence identified makes an important contribution to our understanding of healthcare governance.

The purpose of this paper is to examine the field of risk management in relation to the connection to quality management. It poses and attempts to answer three questions. What can quality teach risk management? What can risk management teach quality? What must both risk and quality management still learn? This is an area which has so far not been explored by the quality management fraternity.

The examination is built on more than 20 years' experience in the area of quality management and extensive involvement in recent developments around risk management (e.g. the Australian/New Zealand standard for risk management – AS/NZ4360, the development of a risk management model by the European Foundation for Quality Management, and the launch of risk‐based instruments by a number of private companies).

Amongst the major findings are that there are three types of risks: predictable risks that organisations know they face; the risks which an organisation knows it might run but which are caused by chance; and the risks which organisations do not know they are running.

It is pointed out that in the past the challenge for quality management professionals was to support process and design improvements, but the challenge of the future is to improve relationships in order to reduce and manage the most important risks.

The paper outlines how the quality management discipline can help with the management of these types of risks.

The purpose of this research is to provide a theoretical framework for complex equipment quality risk evaluation. The primary aim of the framework is to enhance the ability to identify risks and improve risk control efficiency during the development phase.

A novel framework for quality risk evaluation in complex equipment is proposed, which integrates probabilistic hesitant fuzzy set-quality function deployment (PHFS-QFD) and grey clustering. PHFS-QFD is applied to identify the quality risk factors, and grey clustering is used to evaluate quality risks in cases of poor quality information during the development stage. The unfolding function of QFD is applied to simplify complex evaluation problems.

The methodology presents an innovative approach to quality risk evaluation for complex equipment development. The case analysis demonstrates that this method can efficiently evaluate the quality risks for aircraft development and systematically trace back the risk factors through hierarchical relationships. In comparison to traditional failure mode and effects analysis methods for quality risk assessment, this approach exhibits superior effectiveness and reliability in managing quality risks for complex equipment development.

This study contributes to the field by introducing a novel theoretical framework that combines PHFS-QFD and grey clustering. The integration of these approaches significantly improves the quality risk evaluation process for complex equipment development, overcoming challenges related to data scarcity and simplifying the assessment of intricate systems.

Firms face critical challenges in managing product quality in a global supply chain. In many cases, these challenges could be regarded as an agency problem which is a result of the goal conflict between the supply chain members. To address such agency problem, the purpose of this paper is twofold: first, to explain how risk and reward sharing practices contribute to firms’ quality performance in the supply chain; and second, to identify the drivers of applying risk and reward sharing.

The hypothesised model, based on agency theory, is empirically verified by original survey data of 200 Chinese manufacturing companies using the structural equations modelling approach in a context of product recall.

Supplier involvement and task programmability are two significant antecedents of risk and reward sharing. Further, the paper shows that risk and reward sharing have a positive effect on quality performance, however, in terms of contribution to quality performance, risk sharing and reward sharing may be substitution practices.

This research explains how managers could embrace better preparedness for risk and reward sharing in their supply chains. It is also suggested that although risk and reward sharing are seen as efficient means to improve quality performance, such practices should not be treated as a bundle.

Building on supply partnership literature, this paper contributes to agency theory by providing a solution to the agency problem, i.e., risk and reward sharing and adding to the limited understanding of the antecedents of risk and reward sharing and examining the effects of risk and reward sharing on quality performance.

Governance is an emerging aspect of social care organisations embodying professionally‐led risk management, quality assurance and service improvement. The purpose of this paper is to put forward a broad conceptualisation of the main dimensions of quality and risk in social care.

A survey was undertaken to seek the perspectives on social care governance (SCG) of social workers in the South Eastern Health and Social Care Trust in Northern Ireland where clinical and SCG is formalised in the integrated health and social care service.

The 123 respondents were from a wide range of grades, aspects of work (practice, management and training) and both children's and adult services. Approximately, 60 per cent of social workers thought themselves knowledgeable on SCG, but this self‐reported knowledge was considerably higher amongst managers and trainers than practitioners. The risk register was familiar to 61 per cent of respondents. Social workers thought that useful ways to learn about SCG were team meetings, local workshops and engagement in developmental projects rather than training events.

The 41 per cent response rate is typical of surveys of busy professionals.

Social workers were generally not very aware of the systems being developed to implement accountability and support through SCG, presenting challenges to the tasks of managing risk and improving the safety and quality of services.

The paper shows that Northern Ireland is pioneering the development of SCG in parallel with clinical governance in health care. Valuable lessons are being learned about the application of concepts of risk and quality in the complexity of social work.

Public managers throughout the world work in an unforgiving environment in which to take risks. Managers face varying pressures from a range of informed publics to ensure that risks to them are minimized or eliminated; while many are simultaneously subject to criticism, via private practice models, that they are too risk‐averse. Concurrently, leadership from public managers is sought in drives to ensure quality in public services. Risk and quality appear strongly inter‐linked, although managerial discussion of their interrelationship seems relatively rare, at least within the public domain. Links these two concepts, as they are experienced by public managers, through two pilot case studies of managerial practice in the UK, based in probation and health services. Gives consideration in each study to the contribution of understanding and managing risk as a core element in improving public services quality. The theoretical underpinnings of the research are drawn primarily from the literature on strategic management and risk‐taking in public services.

The purpose of this paper is to identify the risk factors that affect aquatic product quality in the “farming-supermarket docking” condition. This paper investigates how the investment scale can affect earnings and aquatic product quality assurance level. Also, it aims to determine an effective method for increasing aquatic product assurance level, coordinate the supply chain and improve management of the entire supply chain.

The authors construct a coordination model for quality risk control of the aquatic supply chain by simulating the model in a tilapia supply chain using the case study method. They applied Karush–Kuhn–Tucker conditions to analyze upstream enterprises (breeding base) and downstream enterprises (corresponding supermarket) under the conditions of sufficient or insufficient funds, Further, they consider the relationships among revenue, optimum quality assurance and investment scale at different capital positions; discuss the best cooperation conditions in four cases; and draw conclusions on ways to control quality risk.

The proposed coordination model is found to be effective in controlling aquatic product quality risk. The simulation results show that when the enterprise funds are sufficient, the sales prices, product freshness, quality assurance ability, collaboration and quality test ability have a positive influence on quality assurance level, whereas coefficient and price sensitivity have a negative influence on it. Additionally, it can obtain high-quality assurance levels and earnings in both breeding bases and supermarkets under the condition of adequate investment.

The study built a coordination model combined with the characteristics of the aquatic supply chain by adding the quality penalty mechanism, product freshness parameters and cost function in the “farming-supermarket docking” mode into the traditional principal–agent model. Research results are beneficial to enhancing the quality assurance level of the aquatic supply chain and improving the coordination level of the supply chain.

The purpose of this paper is to recognize and model the enablers of supply chain quality risk management (SCQRM) through an empirical study in the Indian automotive companies.

A systematic literature review was conducted to extract the key enablers of quality management (QM) and risk management in the context of manufacturing supply chains. A grey-based DEMATEL method was employed to identify and model the key enablers of SCQRM.

The results of empirical study showed that the effectiveness of QM and risk management systems for automotive supply chain is driven by a set of common enablers that could be employed for developing dedicated SCQRM systems. The common causal factors in the model such as the involvement of top leaders, inter-firm communication and strategic-level alignment between supply chain members on both these issues clearly state that there is a need for a broader policy at an early stage.

It is crucial for the automotive companies to develop and implement structured systems for SCQRM keeping in view the impact of any unaddressed quality risk on missed production targets, vehicle recalls and safety hazards.

This study ascertains the key enablers of SCQRM with emblematic focus on automotive industry and identifies if there are commonalities in these enablers.