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This study explored the feasibility of developing scaled inspection tools for use during external inspection of health and social care facilities to give improved accuracy in identifying facilities “at risk”, a tool for risk-adjusted frequency of inspection, and greater consistency of judgements.

This paper summarises the development through working groups and workshops involving 20 experienced inspectors (nurses and social workers) of the Regulation and Quality Improvement Authority who inspect the 206 nursing and 182 residential care homes in Northern Ireland. A brief evaluation survey, including response to a case vignette, gathered inspectors' views after using the tools for six months.

Eight two-dimensional Scaled Inspection Tools were created, each embodying a scale of performance (seriousness of risk issue) and a scale of the ability of the facility to manage that issue, each axis comprising four points. The Scaled Inspection Tools were used for on-site inspections during 2017–18. Evaluative comments were generally positive. The case vignette seemed to highlight greater risk aversion amongst newer inspectors.

The creation of scaled inspection tools adds credibility to the potential for developing risk-based governance in service regulation. Further testing of domains and their scope is required.

Prompts for each domain were found essential to guide inspectors. Despite the challenge of change, inspectors became enthusiastic about use for evaluating risks, and managers about improvements in consistency of inspection.

Knowledge derived from statistical approaches needs to be incorporated into inspection and regulation, just as in other aspects of professional practice.

Scaled inspection tools, with two orthogonal axes corresponding to seriousness of risk and ability to manage the risk (inverse of likelihood of harm), proved acceptable and intuitive in use. The study gives credibility to the possibility of developing screening and surveillance approaches to risk-based governance in service regulation.

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.

The purpose of this research is to develop a validated general measure of supply chain risk management maturity (SCRMM) to assess organizational risk management maturity in the context of the supply chain (SC).

Dimensions and statements measuring SCRMM were developed through a literature review and consultation with experts. The instrument was refined through a pilot study and a full-scale study of 140 SC managers in the USA. A final SCRMM instrument, consisting of 25 statements, was obtained through scale purification, exploratory factor analysis, reliability analysis, and confirmatory factor analysis of construct validity. Cluster analysis was conducted to characterize the organizational groupings with respect to the instrument dimensions.

SCRMM was found to be comprised of the three main dimensions of SC Risk Management Orientation, Enterprise Risk Management Integration (ERMI), and SC Risk Collaboration. ERMI was found to be comprised of the three sub-dimensions of SC Risk Mitigation, Improvement of Risk Management Processes, and Organization Internal Risk Management. Cluster analysis revealed three groups characterized according to SCRMM as leaders, followers, and laggards.

The findings are based on a sample in the USA, so the SCRMM scale may not generalize to supply chains in other countries or geographic regions.

The instrument provides a self-assessment and benchmark tool for businesses to advance their SC risk management through different stages of maturity.

This is a pioneering general instrument that treats risk management maturity of the organization in the context of the SC. Participants span many industries and SC positions.

The purpose of this paper is to provide wider research evidence for the use of the Short Dynamic Risk Scale (SDRS) in risk management with individuals who have an Intellectual Disability (ID) and reside in a secure psychiatric inpatient setting. The outcomes are supportive of previous research, showing that outcomes on the SDRS are related to maladaptive behaviours recorded for individual with ID.

All participant data taken from the hospital healthcare reporting system were entered into a PASW database. The ratings for each of the SDRS and Short-Term Assessment of Risk and Treatability (START) items were entered and totalled, with a separate total score for the SDRS with the additional three items. In order to capture the behavioural monitoring data, average severities weightings of each of the Overt Aggression Scale-modified for neuro-rehabilitation (OAS-MNR) categories for the three weeks following completion of the individual’s SDRS were calculated and recorded. In addition, average severity weightings reflecting the presence of sexualised behaviour (St Andrew’s Sexual Behaviour Assessment (SASBA) in the subsequent three weeks following SDRS completion was included. Using the most recent START assessment completed allowed for analysis of the predictive ability of the START of the same behavioural data.

A series of Spearman’s correlations were run to determine the relationship between outcomes on the SDRS and engagement in risk behaviours as rated by the OAS-MNR scales. There was a moderate positive correlation between all 11-items of the SDRS and OAS-MNR recordings. A series of Spearman’s correlations were conducted to determine the relationship between outcomes on the START Vulnerability items and engagement in risk behaviours as rated by the OAS-MNR scales. There was a weak negative correlation between all individual START vulnerability item ratings and OAS-MNR recordings.

The current pilot study provides wider research evidence for the use of the SDRS in risk management with individuals who have an ID and reside in a secure psychiatric inpatient setting.

This paper compares outcomes on the START and SDRS in relation to an individual’s risk recordings to support identification of whether either have practical and clinical utility. To the authors’ knowledge, this has not been completed before.

The purpose of this paper is to explore and analyse the risks in container shipping operations from a logistics perspective. In the paper, risks associated with the three flows in logistics − information, physical, and payment flow are identified and analysed.

The use of case study method was first explained and justified. Second, risk identification was started with supporting references, several interviews were then conducted to identify and validate the potential risks in container shipping operations. A questionnaire was deployed to collect related data; and the impacts of the risks were then assessed and ranked using the method of risk mapping.

The paper has identified a total of 35 risk factors and classified them into different categories. The paper has also revealed that the risks associated with physical flows have more serious risk impacts than the other types of risks; however, one of the risk factors associated with information flow (shippers hiding cargo information) is the most significant one among all the factors.

Although many studies have been conducted on container shipping operational risks, no studies so far have approached this issue from a perspective that inclusively examines all the possible risks and comprehensively evaluates the relative importance of each of them. This study has identified the risks in container shipping operations, and analysed and ranked the level of these risks. The research further “refines” the findings of some previous studies by placing the risk factors addressed therein in a full “risk picture” which was developed systematically.

Empirically examines how certain variables influence the extent of external information search for banking services. The effects of perceived benefit, perceived cost, perceived risk, and perceived knowledge are tested within a proposed structural equation, cost‐benefit based Banking Services Model (BSM). Surveys a sample of 661 students at a major US university to gather data on their information search for banking services. The results reveal that the BSM provides a good fit to the data. Perceived benefit, cost and knowledge influence the extent of prepurchase bank information search. In addition, the consumers felt that it was more beneficial to obtain more information when there was a perceived benefit of lowering risk and when they already had some form of prior product knowledge. Implications of the BSM for services marketing management and consumer theory, limitations of the study, and future research are discussed.

The aim of this paper is to provide up‐to‐date discussion of the types of factors used to assess sexual offenders risk.

The current status of the factors used to assess risk in sexual offenders is examined.

Risk factors broadly fall into two categories: static factors (i.e. generally unchangeable information such as previous offence history) from which a number of actuarial scales have been developed; and dynamic factors (i.e. psychological dispositions) that are typically identified in treatment. It is suggested that these risk factors are artefacts of the same behavioural and psychological vulnerabilities at different stages of assessment, with static factors acting as markers for underlying dispositions, while dynamic factors are the underlying dispositions.

The paper discusses in some detail the status of age as a risk factor, where even though it is typically considered a static risk factor in a number of actuarial scales (allowance typically being made if individuals are over/under 25), there is a dynamic element (i.e. change with age or the passage of time) to this aspect of assessment.

This paper may be useful to practitioners working in the field, in terms of providing a useful heuristic framework for risk conceptualisation.

Risk is an inherent component of business transactions. Today's flattened business organisations are forcing strategic, risk‐related decisions farther down the organisational hierarchy (Richards et.al., 1996). Therefore, every business decision maker has to become proficient at factoring risk into the decision‐making process. How the risk level of the transaction affects the decision maker and the eventual decision is a function of that person's risk propensity. For senior managers in those flattened organisations facing the necessity of having less‐senior individuals making strategic decisions, the attitudes of those individuals toward risk is extremely important.

This paper aims to report on the development of a psychometric measure of insight, The Risk Insight Scale. This measure is intended to assess the insight and understanding of individuals with intellectual disabilities (ID) who engage in offending and/or risky behaviour. The measure assesses insight in two domains: insight into offending and/or risky behaviours and insight into the need for treatment for offending and/or risky behaviours.

Forty secure inpatients with ID were assessed using the measure. Preliminary data are presented on inter-rater and test–retest reliability, internal consistency and validity.

The data demonstrate that the new tool has good internal consistency, good inter-rater reliability and good test–retest reliability.

The psychometric measure must be completed by someone who is familiar with the patient. More data is needed to validate the measure at this stage. Further discussion is provided regarding insight as a construct and its role in risk assessment.

The psychometric measure is both of potential benefit in clinical settings with regard to informing risk assessment and case management and may also serve as an effective tool in intervention outcome evaluation and academic research trials.

The generation of new tool to support and enhance risk assessment, specifically in supplementing assessment of insight in individuals with ID with offending and/or risky behaviour.