Search results

Young people drinking to extreme drunkenness is a source of concern for policy makers and health promoters. There are a variety of community groups who appear to respond to the alcohol-related problems. The purpose of this paper is to investigate the working practices and relationships among local community groups as part of the pre-intervention context-assessment process.

Drawing on the narratives of nine community workers and ten venue managers the authors examine the community level approach to inform the choice of interventions to reduce risky drinking practices and community wide alcohol-related harm.

There was considerable agreement across the community workers and venue managers about the nature of risk for young people in the night time economy (NTE). Two central themes of “perceived risk” and “management of risk” emerged from the data. Further, the community workers and venue managers identified different high-risk locations and strategies to improve their ability meet the needs of young people experiencing risk in the NTE. The local authorities, community organisations and night time operators adopted a broad proactive and connected approach to develop a coherent strategy to achieve new measures of safety in the NTE.

Applying the social ecological model to provide a framework for the understanding of the social, environmental and political factors that influence alcohol use in young people.

Purpose – The purpose of this chapter is to investigate the relationship between emotion and European energy forward prices of oil, gas, coal and electricity during normal times and periods of extreme price movements.

Methodology/Approach – We use a biorhythm approach characterized by the seasonal affective disorder (SAD) variable to study the impact of emotion on energy markets. Normal times and periods of extreme price movements are approximated by OLS and quantile estimations, respectively.

Findings – We use European energy forward prices of oil, gas, coal, and electricity. European equity future index (Dow Jones Euro Stoxx 50) and euro/dollar US exchange rate are used as control variables for economic and financial environment. Estimating OLS and quantile regressions, we find that seasonal patterns have a significant impact during extreme volatility periods only. Further investigations reveal that the SAD effect is significant during periods of price decrease, but insignificant during price increase times. The out-of-sample predictive ability properties show that our “SAD model” outperforms significantly the pure “macroeconomic” one.

Originality/Value of chapter – This topic is novel in energy finance since I use psychological background theory to understand energy price dynamics. I illustrate the relevance of our approach by comparing the out-of-sample predictive ability of our model against macroeconomic one. My results could be considered to improve energy porfolio allocation.

The shipbreaking sector in Bangladesh has spurred extensive academic and policy debates on relations between shipbreaking industries, environmental degradation and the health security of their workers. As shipbreaking is an economically significant industry in Bangladesh, it needs to implement both domestic and global mechanisms for environmental conservation and the protection of the labourers’ health from environmental risks. The purpose of this paper is to primarily explore the environmental and health security issues in shipbreaking activities in Bangladesh. It also identifies the challenges in implementing the rules and regulations for protecting the health of the workers at shipbreaking yards in Bangladesh and preserving the marine environment.

This is a qualitative paper based on secondary materials, including journal articles, books and national and international reports. It critically reviews the existing literature, rules, regulations and policing on shipbreaking with a particular focus on the environment and health security of the workers.

This paper finds that the implementation of the rules and regulations in shipbreaking in Bangladesh is complicated because of weak implementation mechanisms, political and economic interests of the yard owners, lack of coordination among different agencies, lack of adequate training and awareness among the workers and workers’ poor economic condition, which contribute to the degradation of marine and local environments and trigger health hazards among the workers. Therefore, degrading the environment and undermining occupational health and safety regulations have become regular; thus, accidental death and injury to the workers are common in this sector.

This paper is an important study on the issues of workers' health and safety and environmental hazards in the shipyard. It reports how the health security of the workers in shipbreaking yards in Bangladesh is vulnerable, and environmental rules are challenged. Finally, this paper frames some policy implications to safeguard the workers’ health rights and the marine environment.

This study aims to make investment decisions in stock markets using forecasting-Markowitz based decision-making approaches.

The authors’ approach offers the use of time series prediction methods including autoregressive, autoregressive moving average and artificial neural network, rather than calculating the expected rate of return based on distribution.

The results show that using time series prediction methods has a significant effect on improving investment decisions and the performance of the investments.

In this study, in contrast to previous studies, the alteration in the Markowitz model started with the investment expected rate of return. For this purpose, instead of considering the distribution of returns and determining the expected returns, time series prediction methods were used to calculate the future return of each asset. Then, the results of different time series methods replaced the expected returns in the Markowitz model. Finally, the overall performance of the method, as well as the performance of each of the prediction methods used, was examined in relation to nine stock market indices.

This research was founded on the premise that more can be done to help improve safety in the global construction industry. Worker fatigue-impairment may be an underlying cause or major contributor to accidents. Fatigue-impairment is believed to be pervasive in construction, and research has shown it can be as concerning as alcohol-impairment. When fatigue-impairment is acknowledged as existing, there is poor understanding of its severity or how it contributes to performance and accidents. The purpose of this research was to attempt to measure fatigue-impairment in real time.

This research expanded on actual measurements of fatigue-related impairment from workers on a large construction project displaying significant fatigue-related impairment. The research identified and tested possible techniques for real-time measurement solutions to assist with this safety-related issue. 100 participants had their sleep/wake cycles monitored for a month with an actigraph to derive their on-going mental effectiveness levels by the minute. The same participants took cognitive tests over the month to compare mental performance results to the modelled mental effectiveness levels.

Performance results from cognitive tests were compared with modelled mental effectiveness from actigraph-monitored sleep of 100 participants for a month each and showed significant correlation for all cognitive tests used.

This research showed that real-time surrogate measurements for fatigue-impairment in the workplace exist to assist organizations manage an important workplace hazard.

Derived from operational settings, this research developed predictive models based on simple, quick and inexpensive cognitive tests as screening techniques for workplace impairment and confirmed the need for and found a solution for fatigue monitoring in the workplace.

The growing uses of digital technologies have been creating several new business opportunities. Recently, a new concept has emerged in the literature, the “digital entrepreneurship ecosystem” (DEE). However, it has been empirically understudied. Thus, this study aims to analyze the influence of DEE on entrepreneurial activity. The meta-organization theory was used as a perspective of analysis. A quantitative methodology was applied in a sample that includes data from 28 European countries through the generalized method of moments. It was concluded that the DEE pillars, informal and formal institutions, market conditions, physical infrastructure, human capital and talent and networking and support positively influence entrepreneurial activity. It was also found that the variables knowledge, creation and dissemination and finance have a negative impact on entrepreneurial activity. Several theoretical and empirical contributions are also left for the various stakeholders. The present study is original, as no known studies analyze the influence of DEE on entrepreneurial activity in European countries from the perspective of meta-organization theory.

The strength of the relationship between uncertainty and the firm′s decision to engage in foreign direct investment (FDI) is moderated by factors such as capital intensity and firm size. Recognizes two types of uncertainty, internal and external. Develops specific hypotheses about how the influence of external uncertainty on FDI is conditioned by certain moderators. Not enough is known about how internal uncertainty affects the FDI to develop specific predictions about moderators. However, these effects are empirically determined. Uses data on US international service firms to test the various effects using logistic regression. Results suggest that the moderators affect both the strength and the direction of the impact that internal and external uncertainty have on foreign direct investment.

In this paper, the future trends and challenges of financial risk management are considered. First, the historical developments and current status of financial risk management are assessed. Then, key features of the financial industry in the digital economy are discussed. It is argued that the technology innovations, particularly in computing and telecommunication, will continue to have an important influence on the future development of financial risk management. Based the past and present of financial risk management as well as the general trends in the financial industry, some future trends and challenges of financial risk management in the digital economy are discussed. Finally, some implications for financial institutions, corporations and emerging economies are given.

Drawing upon the social exchange and psychological capital literature and applying a multilevel perspective, this paper examines how personal and organizational factors contribute to expatriates' adjustment and performance of international assignments in a terrorism-induced risky environment.

Data were collected using a non-probability sampling approach (e.g. purposive and subsequent snowball sampling). The authors tested the hypotheses using survey data of 138 expatriates with current international assignments in Pakistan.

Expatriates' perceived organizational and risk-taking propensity influences their performance through improved adjustment. Moderating effects suggest that an individual's satisfaction with the received organizational rewards strengthens the risk-taking propensity to adjustment relationship; resilience strengthens the adjustment to performance relationship.

This study extends existing expatriation literature by focusing on a specific type of risk factor pertinent to international assignments, i.e. terrorism. Integrating individual and organizational factors that influence adjustment and subsequent performance provides a clear picture rather if such factors are operationalized separately in the terrorism-induced risky environment context.

The adaptation perspective dominates the issue of organizational change and assumes that organizational inertia increases organizational mortality. This assumption is inadequate to analyze organizational change in risky activities. The purpose of this paper is to underline the relevance of organizational inertia when organizations face risky environments.

A conceptual framework was built that combines the adaptation and selection perspectives from the evolutionary approach and the high‐reliability organizations literature and apply it to space activities.

First, it was found that to prevent catastrophic failures, space organizations reproduce routines validated in previous successful programs, which leads to situations of organizational inertia; and second, the opposing perspectives of selection and adaptation become complementary when the author focus on the level of risk faced by organizations.

This paper focuses on space organizations and not more general types of organizations. However, the findings could be generalized to organizations manufacturing complex products and systems.

The originality of the paper is based on the new empirical and theoretical frameworks provided to analyze organizational inertia. Organizational inertia may be a satisfying response to environments favoring organizations with high levels of reliability. This new way of viewing inertia would be of value to scholars studying organizations in which errors can have catastrophic consequences.