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International supply chains can be severely disrupted by failures in international logistics processes. Therefore, an understanding of international logistics risks, or causes of failure, how these may interact with each other and how they can be mitigated are imperatives for the smooth operation of international supply chains. The purpose of this paper is to specifically investigate the interactions between international logistics risks within the prevailing structures of international supply chains and highlights how these risks may be inter-connected and amplified. A new dynamic supply chain logistics risk analysis model is proposed which is novel as it provides a holistic understanding of the risk event interactivity.

The paper applies interpretive structural modelling to data collected from a survey of leading supply chain practitioners, in order to analyse their perspectives of risk elements and interactions. The risk elements and their contextual relationship were derived empirically through the use of focus groups and subsequent Delphi study. The two stages of the research rely on experts’ views on risk events and clusters and the level of interactions among those clusters.

A key finding of this research is that supply chain practitioner’s perception of risk consists of inter-connected four levels: value streams risks; information and relationship risks; risks in international supply chain activities; and external environment. In particular, since level 2 risk creates feedback loops of risks, risk management at level 2 can dampen the amplification effect and the strength of the interactions.

Several managerial implications are drawn. First, the research guides managers in the identification and evaluation of risk events which can impact the performance of their international logistics supply chain operations. Second, evidence is presented that supports the proposition that the relationships with trading partners and LSPs, and the degree of logistics information exchange, are critical to prevent, or at least mitigate, logistics risks which can substantially affect the responsiveness of the international supply chain.

The main contribution to knowledge that this study offers to the literature on supply chain risk management is the development of a supply chain logistics risk analysis model which includes both risk elements and interactions. The research demonstrates the importance of taking into account risk interactions in the process of identification and evaluation of risk events.

This study aims to examine the listing of firms at the highest corporate governance level of the Brazilian stock exchange (B3) as a means of legitimation and its relationship with risk and return on investment.

This paper analyzes 205 companies from 2010 to 2019, in which firms listed at the Novo Mercado level were compared with groups composed of other firms traded on B3.

The main results demonstrate that a listing at the supposedly higher level of corporate governance in Brazil does not indicate lower risk, a higher return or even a better risk-return ratio.

The findings are restricted to this sample, representing the association identified between the analyzed phenomena and not a cause-effect relationship.

The highest level of corporate governance in Brazil brings together firms that present a higher risk (at least systematic) and lower returns (at least financial) because they seek to legitimize themselves in the market as firms committed to better management practices.

These findings are useful to investors, the stock exchange, regulatory agents and the companies themselves to reflect on the purpose and usefulness of different levels of corporate governance in Brazil.

This study differs from the others that relate corporate governance to risk or return because it does not deal individually with corporate governance practices, but rather the phenomenon that is listed in a special governance level, created by the stock exchange, serving as a kind of seal legitimation.

A system operator (SO) of a transmission network consistently aims to minimise operating costs whilst still maintaining a certain degree of system adequacy. One of the ways to achieve this is by minimising the level of spinning reserve (SR) in the system. In order to do so, the level of SR must be analysed. This study looks at quantifying the risk of inadequacy when the SR is varied. A study was done for a period of 24 h with 30 m intervals to determine the risk level at each period. The number of generators despatched, system power margin and the system sell price was all taken into account. Risk was then computed by factoring the probability of generation inadequacy and the cost of purchasing the imbalance from the balancing market.

The purpose of this paper is to develop a method to predict the multi-failure risk of aero engine in service and to evaluate the effectiveness of different corrective actions.

The classification of failure risk level, the determination of hazard ratio and the calculation of risk factor and the risk per flight have been proposed. The multi-failure risk assessment process of aero engine has been established to predict the occurrence of failure event and assess the failure risk level. According to the history aero engine failure data, the multi-failure risk, i.e., overheat, blade wounding, pump failure, blade crack, pipe crack and combustor crack, has been predicted considering with and without corrective action. Two corrective actions, i.e., reduce the maintenance interval and redesign the failure components, were adopted to analyze the decreasing of risk level.

The multi-failure risk of aero engine with or without corrective action can be determined using the present method. The risk level of combustor crack decreases from high-risk level of 1.18×1e−9 without corrective action to acceptable risk level of 0.954×1e−9 by decreasing the maintenance interval from 1,000 to 800 h, or to 0.912×1e−9 using the redesign combustor.

It should be noted that probability of detection during maintenance actions has not been considered in the present analysis, which would affect the failure risk level of aero engine in service.

The method in the present analysis can be adapted to other types of failure modes which may cause significant safety or environment hazards, and used to determine the maintenance interval or choose appropriate corrective action to reduce the multi-failure risk level of aero engine.

The maintenance interval or appropriate corrective action can be determined using the present method to reduce the multi-failure risk level of aero engine.

We demonstrate in a laboratory experiment that the effectiveness of performance-contingent incentives is inversely related to risk-aversion levels. For about 16.5% of participants, performance fails to improve under performance-pay, and the probability of such failure increases with risk-aversion. This phenomenon works in part through the reduced effort level of more risk-averse individuals when effort level is positively correlated with risk exposure. It is also associated with higher self-reported levels of stress by more risk-averse people working under performance-contingent pay. We find no evidence of such stress causing decrements in the quality of effort affecting performance after controlling for effort level. However, controlling for effort, more risk-averse participants perform better under a fixed salary, leaving less room for improvement under performance-pay.

Why did peasants in old-regime Europe scatter their land in small strips within open fields? According to an influential theory advocated by Deirdre McCloskey, the system’s main aim was risk reduction. By spreading out land, peasants were less exposed to the caprices of nature: heavy rains, droughts, frost, or hailstorms. In a time when other insurance institutions were lacking, this approach could be a rational solution, even if, as McCloskey suggests, it could be achieved only at the expense of overall agricultural productivity.

Over the years, McCloskey’s theory has repeatedly been debated. Still, it has never been empirically established to what extent the open fields actually reduced risk. McCloskey offered only indirect evidence, based on hypothetical calculations from short series demesne level yields. Risks on enclosed and open-field land farms were thus never compared.

This chapter presents farm-level harvest variation series, including observations from both types of land. It is based on tithe records of 1,700 farms in Southern Sweden from 1715–1860. Results show that scattering had a limited effect on agricultural risk. The system did protect against small-scale local crop failures. It was less efficient, however, when it came to the large-scale regional harvest disasters that constituted a much more serious threat to peasants of the time. From this perspective, the inner logic of the open-field system is taken up for renewed consideration.

Purpose – The purpose of this paper is to propose a risk‐based approach for spare parts demand forecast and spare parts inventory management for effective allocation of limited resources. Design/methodology/approach – To meet the availability target and to reduce downtime, process facilities usually maintain inventory of spare parts. The maintaining of non‐optimized spare parts inventory claims more idle investment. Even if it is optimized, lack of attention towards the critical equipment spares could threaten the availability of the plant. This paper deals with the various facets of spare parts inventory management, mainly risk‐based spare parts criticality ranking, forecasting, and effective risk reduction through strategic procurement policy to ensure spare parts availability. A risk‐based approach is presented that helps managing spare parts requirement effectively considering the criticality of the components. It also helps ensuring the adequacy of spare parts inventory on the basis of equipment criticality and dormant failure without compromising the overall availability of the plant. Findings – The paper proposes a risk‐based approach that used conjugate distribution technique with the capability to incorporate historical failure rate as well as expert judgment to estimate the future spare demand through posterior demand distribution. The approach continuously updates the prior distribution with most recent observation to give posterior demand distribution. Hence the approach is unique in its kind. Practical implications – Appropriate spare parts unavailability could have great impact on process operation and result in costly downtime of the plant. Following proposed approach the availability target can be achieved in process industry having limited maintenance resources, by forecasting spare parts demand precisely and maintaining inventory in good condition. Originality/value – Adopting the approach proposed in the paper, risk level can be minimized and plant availability can be maximized within the financial constraint. The resources are allocated to the most critical components and thereby increased availability, and reduce risk.