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This study aims to examine the influence of a sports-related accident and its severity on sponsorship effects, including brand recognition, attitude toward the sponsoring brand and purchase intention.

The fear appeal theory and sensation-seeking are applied as a theoretical framework. The research is carried out via an experiment using auto racing video footage and print material that manipulates the severity of accidents at three levels – no accident, an accident with a minor injury and an accident resulting in a fatality.

The analyses demonstrate that the severity of the accident elicits varying sponsorship effects. Sponsorship effects are maximized in a minor injury condition, while smaller sponsorship effects are garnered in the absence of an accident or during fatal injury conditions, as expected via the fear appeal theory. These results suggest that sports fans are excited by auto racing crashes, but are averse to witnessing a fatal accident.

The participants of the experiment were all students. Consequently, the participants did not represent all sports fans. Only auto racing was examined as experiment stimuli. Different demographic characteristics (e.g. age, race, nationality) and sports could differently influence the relationships among the research variables.

Potential sponsors do not need to take a negative view of the dangers of sports accidents. Rather, it is recommended that such companies actively plan their sponsorship activities with the appropriate strategy.

The relationship between the severity of a sports-related accident and sponsorship effects has received little attention regarding its potential impact on brand recognition, attitude toward the sponsoring brand and purchase intention. The current study is the first known empirical research using the fear appeal theory in sports sponsorship. It investigates the severity of a sports-related accident and determines how that severity influences sponsorship effects in auto racing. This study provides a better understanding of the effects of an accident and its severity on sponsorship effects.

The purpose of this paper is to employ lessons learned from the industrial accidents in Skikda refinery during the period from 2005 to 2016 as input data for the numerical simulation of risk consequences to identify the exposed areas to the various effects of industrial accidents.

In order to assess how the lessons learned can contribute to modeling the accidents effects in the refining activities, this paper presents a combined statistical/dynamic approach that combines two main tools, namely, lessons learned from petroleum refining in Algeria and Areal Locations of Hazardous Atmospheres software.

The results showed that fire is the most frequent accident at Skikda refinery that is mainly caused by equipment failures with a frequent involvement of crude oil and LNG. The NO₂ toxic effects are unacceptable. This means that in the case of a similar accident, the entire population will be exposed to an intolerable concentration of NO₂. Therefore, people must be relocated to a safer place. The results indicate that the concentration threshold can be met beyond the distance of 1 km.

Due to the economic importance of Skikda refinery and the absence of data related to the accidents in the refineries of Algiers, Arzew and Hassi Messaoud, this study is limited to the statistical analysis of accidents related to Skikda refinery.

This approach makes the risk assessment more practical and effective for the appropriate utilization of safety barriers and for the whole decision-making process.

This work presents a review paper of accidents that occurred in the oil-refining sector in Algeria, whose objective is learning lessons from past accidents history, by identifying their immediate causes and effects on personnel, equipment and environment in order to propose prevention measures. The novelty of this work is highlighted by the fact that this statistical analysis of oil and gas refining accident is realized for the first time in Algeria. This is due to the difficulty of obtaining data on accidents in the Algerian refining sector; for this reason, the authors have limited the study to the Skikda refinery.

The study aims to examine the safety attitudes of workers, supervisors and managers in a UK‐based car manufacturing plant, and their relationship with unsafe behaviour and accidents.

A questionnaire methodology is used to measure safety attitudes and perceptions. The data are analysed using factor analysis and hierarchical multiple regression.

The factor structure of the safety climate at the plant comprised three factors: managers' concern for safety; workers' response to safety; conflict between production and safety, which correspond to those found in previous studies in the UK manufacturing sector. Whilst safety climate did not predict accident involvement at the plant, workers' response to safety and conflict between production and safety significantly predicted unsafe behaviour. Perceptions of the work environment had important effects as a significant predictor of both accidents and unsafe behaviour. However, job communication failed to predict either safety outcome. There was little difference in the strength of the safety climate perceived across hierarchical levels.

It is recommended that future research should examine the direct effects of organisational factors beyond the strictures of the “safety culture” framework.

Safety interventions need to focus on how individuals perceive their immediate work environment, as well as improving safety policy and procedures, as these perceptions have most direct influence on safety outcomes.

This paper offers new direction for researchers and advice for those designing safety interventions aimed at reducing accidents.

One of the sectors most affected by the variable weather events caused by climate change and global warming is the aviation sector. Especially in aircraft accidents, weather events increasing with climate change and global warming are effective. The purpose of this study is to determine how much the change in weather conditions caused by global warming and climate changes affect the aircraft in the world between the years 2010 and 2022.

In this study, it was investigated which weather events were more effective in aircraft crashes by determining the rates of air events and aircraft crashes in aircraft crashes with a passenger capacity of 12 or more that occurred between 2010 and 2022.

It is clearly seen that increasing weather conditions with global warming and climate change increase the effect of weather conditions in aircraft crashes.

The difference of this study from other studies is the evaluation of the data of the past 12 years, in which the increasing consequences of global warming and climate change have been felt more. It also reveals the necessity of further research on the effects of weather conditions on aircraft.

A bad safety accident at a manufacturing company usually results in casualties and economic losses. The company affected by such an accident must deal with pressure from multiple stakeholder groups. Employees, in particular, play a key role in pushing the affected company to develop strategies to improve occupational safety and health. The purpose of this paper is to seek answers to two questions: does a safety accident affect employee behavior in terms of giving up prospects to develop a career at the affected company? If yes, could innovation initiatives adopted by the company help moderate the negative consequences from a safety accident?

By investigating 120 safety accidents reported by publicly listed Chinese manufacturing companies between 2009 and 2016, the authors conduct an empirical study using regression-based statistical hypotheses testing to describe the companies’ responses and prospects for their employees.

The results show that the magnitude of the accident and the accident being caused by an employee error positively affect the turnover of employees. Furthermore, technical innovation initiatives, such as spending on R&D, by the accident-affected companies increase the positive effect of the accident magnitude on employee turnover. On the contrary, management innovation initiatives, such as corporate social responsibility activities, weaken the impact of the accident magnitude and employee error on employee turnover.

This study contributes to knowledge development by adding a crisis perspective in human resource management research. It helps to better understand the impact of safety accidents on employee behavior and the response taken by companies through innovation initiatives.

This study aims to explore the mutual relation of corporate accidents, stock market responses, and media coverage.

This paper empirically investigated 119 listed firms' accidents during the 2005-2012 period using the methods of event study, correlation analysis, and multiple regressions.

The stock market response and media response are independent with each other in the following 30 days after accidents. Corporate accidents have significant negative effects on the stock market responses. As time goes by, the market reaction tapers off. In a mediate term period, accident onset has significantly positive effect and firm's ownership has weakly positive effect in addition to factors of asset and number of shareholders.

This paper first examines the interrelationships among accidents, media coverage, and stock market responses. It is part of the corporate social responsibility to avoid or reduce the stakeholders' nervous behaviors in times of accident. Hence, accident-stricken firms should release sufficient and transparent information to shareholders so that they can trade the share more rationally.

The construction industry contributes significantly to national economic growth and offers substantial opportunities for job creation; however, the industry has continually been plagued by workplace accidents. Moreover, employers may not realize the economic magnitude of workplace injury and ill health arising from construction activities. These accidents represent a considerable economic and social burden to employers, employees and to the society as a whole. Despite governments and organisations worldwide maintaining an ongoing commitment towards establishing a working environment free of injury and disease, a great deal of construction accidents continues to frequent our society. The purpose of this study is to conduct an analysis of a sample of 100 construction accident reports to establish, as far as practically reasonable, the total costs of limited types of construction accidents. Costs attributable to each of these accidents were classified either as direct or indirect costs. Through an exhaustive and time-consuming investigation of all available records from various sources and/or kept in various departments, the individual costs were correlated to the various direct and indirect categories.

This particular study is a combination of explanatory and collective case study approaches, whereby causal effects are determined or a course of events is examined from multiple cases. The preferred form of data collection is left to the researcher to decide (Yin, 2003). When a researcher is considering “how” or “why” questions, a contemporary set of events using primary and secondary documents, over which the researcher has little or no control, the case study approach is feasible (Yin, 2009).

The costs of construction accidents for the same sample of 100 construction analysed in this study has been estimated at a staggering R32,981,200. Of this total, R10,087,350 has been attributed to direct costs and R22,893,850 has been attributed to indirect costs. The costs of construction accidents are based on four cost components: sick pay, administrative costs, recruitment costs and compensation and insurance costs. It should be noted that the estimates of the costs to employers presented in this study are reflective of the activities and incidents of the reviewed organisation and may not necessarily represent another organisation. The costs of construction accidents values presented in this study reveal that construction accidents present a substantial cost to employers and to the society at large, inclusive of both the direct and indirect costs. It is therefore in the best interest of the employer to identify progressive and advanced approaches to more effectively manage construction health and safety, consequently society at large will benefit tremendously.

Given the high rate of construction accidents experienced, employers are not entirely mindful of the actual costs of construction accidents, especially when considering the hidden or indirect costs of accidents. Various safety research efforts have attempted to quantify the true costs of worker injuries; however, localised systematic information on cost of construction accidents at work is not readily available from administrative statistical data sources; therefore, this study was carried out to estimate the costs, like lost workdays or lost income, are clearly visible and can readily be expressed in monetary value; for a large part,0 however, economic consequences of accidents are somewhat hidden.

This paper seeks to tackle the complex problem of integrating real‐time data information about the tracking of a hazardous material (hazmat) vehicle with classical risk evaluation methodologies in order to describe possible accident scenarios. The application deals with the transport of hydrocarbon dangerous goods, where the accident consequences may involve the population exposed along the infrastructure used for transportation.

The approach taken consists of three phases. First, the acquisition of real‐time data about the travel and the carried hazmat; second, the evaluation of the risk area; and finally, a Geographic Information System (GIS) are taken into account.

The findings of this analysis constitute the methodological basis to implement a decision support system as regards hazmat transport risk analysis, also in real time, with important evaluations for planning criteria. Using TIP (Transport Integrated Platform), the data collection is received in real time and the scenario construction and visualization may represent a user‐friendly tool for prompt risk evaluation.

The information displayed by the GIS interface is easy to use, and gives prompt information about the accident consequences.

In terms of the total impact from the hazmat transport system to the whole environment (humans, goods, infrastructures, services and natural elements), the paper focuses on the importance of creating a historical real‐time database implemented from a real time information, that represents a standard set of information necessary to define an accident scenarios, for hazmat transport.

The purpose of this paper is to propose a new managerial method to integrate the environmental dimension in the domino effects (DEs) analysis.

The proposed method is a three-step approach: identification of primary hazards in the form of potential events causing the DE, a mixed quantification (deterministic and probabilistic) of the risk of the DEs with a view to its control and capitalizing the results from the BLEVESOFT software as well as those relating to the probability of occurrence of the DEs in the form of a prioritized action plan dedicated to surrounding environments (proximity territory).

The primary hazards are technologically manageable at the studied system but are unpredictable if triggered at the environmental subsystem because they are difficult to be managed and often cause panic, which is a form of a very catastrophic DE.

The research could affect members of the engineering and construction industry, and can be applied in several domains since it studies the DE phenomenon. which is a common problem especially in industrials plants.

The proposal method is applied in an industrial terminal in Algeria.

This paper presents an exploratory study of using a new managerial method that aims to combine the potentialities of geomatic sciences that allow the spatial representation of nearby territories to assess the severity of DEs through a deterministic approach, and the modeling of DEs as well as their analysis by a probabilistic approach.

The main objective of this paper is to introduce the development of a decision‐support environment for space range safety. Simulation modeling can provide a good environment to support disaster and prevention management.

The paper describes the different models and the processes to find the different knowledge sources. This will help determine emergency management procedures.

This case study provides guidance and an example to follow for other problems in aerospace. There are important factors to consider in order to implement risk management in NASA.

There are several limitations; first debris effects need to be added.

First, the paper provides a guide in order to persuade managers of the utilization of decision support systems based on geographical information systems. Second, it shows that there is open source software which can be used and integrated to make a more comprehensive environment. Validation is a big issue.

This is the first implementation of a virtual range. This will be valuable to other safety managers not only aerospace but also environmentalists and homeland security managers.