Putting Ecstasy to Work: Pleasure,Prostitution, and Inequality in the Indonesian Borderlands

This article takes the drug Ecstasy as a commodity located at the center rather than at the margins of social processes, a technology that allows for the temporary engagement with pleasure and displacement of inequality in the context of nightlife and prostitution. It addresses these issues by focusing ethnographic attention on how Indonesian female prostitutes and their Singaporean male clients use Ecstasy in a disco on the Indonesian island of Batam, an export-processing zone located at the border to Singapore. By paying close attention to consumption practices, the article uses Ecstasy as a starting point for illuminating intersections of social mobility and inequality in the context of contemporary forms of transnational capitalism.     

Academic writing as autocommunication – the case of doctoral dissertations on CSR

In this article, we explore the self‐oriented rather than socially‐oriented reasons why a doctoral dissertation in the field of corporate social responsibility (CSR) is written. We base our article on Yuri M. Lotman’s idea on autocommunication which we use as tool in analysing a group interview conducted with six doctoral students studying in the field of CSR. We suggest that autocommunicational aspects might play a much more important role in rationalized Western culture and science than is often realized, and our main thesis is that one essential reason for writing a doctoral dissertation in the field of CSR might be to communicate with oneself and that this even might contain a therapeutic dimension. Implications for students, supervisors and future research are discussed at the end of the article.     

News: University prizes

Abstract

Stressful working environments are often assumed to create conditions that may lead to bullying. However, few studies have investigated how factors experienced in the work environment may trigger perpetrators to engage in bullying of others. Drawing on Spector and Fox's (2005) stressor–emotion model of counterproductive work behaviour, the present study investigated the predictive effects of both individual and situational factors as predictors of being a perpetrator of workplace bullying, as applied to a representative sample of the Norwegian workforce (N=2359). Results from logistic regression analysis show that being oneself a target of bullying, regardless of the frequency, and being male strongly predicted involvement in bullying of others. Among the situational factors, only role conflict and interpersonal conflicts significantly predicted being a perpetrator of bullying. The present findings support the notion that bullying will thrive in stressful working environments and thus yield an important contribution in identifying antecedent conditions to counteract the development of bullying at workplaces.     

Stimulating lifelong professional growth by guiding job characteristics

This article reports some findings from a broader study concerning the development of professional expertise. The aim of the part that is described in this article was to find out whether certain job-related factors situated in the domain of socio-technical systems design (STSD), that is, control capacity, job satisfaction, and learning value of the job, influence the development of professional knowledge, skills, and capabilities throughout the career. The sample consisted of 559 middle- and higher-level employees working in eight large Dutch companies. Theoretical contributions from learning theory, human resource management and work, and organizational psychology are used to conceptualize the phenomenon of professional expertise and to develop a theory of expertise development in careers. By providing insight into the relationships between several job-related factors, on the one hand, and the development of professional expertise, on the other, this research is intended to contribute to theory building in adult development and learning. Influential job characteristics that are situated in the domain of STSD seem to be of high importance in view of a further human resource development. Paying close attention to an individual's job and its content is indispensable in order to guide growth throughout the career and to enable life-long development of professional expertise.     

Second-order refined peaks-over-threshold modelling for heavy-tailed distributions

Modelling excesses over a high threshold using the Pareto or generalized Pareto distribution (PD/GPD) is the most popular approach in extreme value statistics. This method typically requires high thresholds in order for the (G)PD to fit well and in such a case applies only to a small upper fraction of the data. The extension of the (G)PD proposed in this paper is able to describe the excess distribution for lower thresholds in case of heavy-tailed distributions. This yields a statistical model that can be fitted to a larger portion of the data. Moreover, estimates of tail parameters display stability for a larger range of thresholds. Our findings are supported by asymptotic results, simulations and a case study.     

A Risk Management Procedure for the Washington State Ferries

The state of Washington operates the largest passenger vessel ferry system in the United States. In part due to the introduction of high-speed ferries, the state of Washington established an independent blue-ribbon panel to assess the adequacy of requirements for passenger and crew safety aboard the Washington state ferries. On July 9, 1998, the Blue Ribbon Panel on Washington State Ferry Safety engaged a consultant team from The George Washington University and Rensselaer Polytechnic Institute/Le Moyne College to assess the adequacy of passenger and crew safety in the Washington state ferry (WSF) system, to evaluate the level of risk present in the WSF system, and to develop recommendations for prioritized risk reduction measures, which, once implemented, can improve the level of safety in the WSF system. The probability of ferry collisions in the WSF system was assessed using a dynamic simulation methodology that extends the scope of available data with expert judgment. The potential consequences of collisions were modeled in order to determine the requirements for onboard and external emergency response procedures and equipment. The methodology was used to evaluate potential risk reduction measures and to make detailed risk management recommendations to the blue-ribbon panel and the Washington State Transportation Commission.     

Christian democracy, social democracy and the paradoxes of earnings-related social security

This article compares the retirement policies of Belgium and Sweden in order to reveal the different incentive structures built into the pensions systems prevailing in countries that are taken to represent different approaches to welfare capitalism. It addresses the question of why in a Christian Democratic welfare state that is said to grant pensions rights on the basis of merit and past work performance one can find extremely low labour-force participation rates among elderly workers, while in a Social Democratic welfare state that is supposed to grant pension rights relatively independent of past labour-market performance, one can find quite high participation rates amongst that section of the labour force. This apparent paradox is explained in terms of the different purposes of the early-retirement schemes in the two countries: in Belgium they were primarily part of a strategy to combat (youth) unemployment, in Sweden they had more to do with reforms that sought to accomplish a 'humanisation of work' by softening the abrupt transition from work into retirement.     

Bayesian variable selection with strong heredity constraints

In this paper, we propose a Bayesian variable selection method for linear regression models with high-order interactions. Our method automatically enforces the heredity constraint, that is, a higher order interaction term can exist in the model only if both of its parent terms are in the model. Based on the stochastic search variable selection George and McCulloch (1993), we propose a novel hierarchical prior that fully considers the heredity constraint and controls the degree of sparsity simultaneously. We develop a Markov chain Monte Carlo (MCMC) algorithm to explore the model space efficiently while accounting for the heredity constraint by modifying the shotgun stochastic search algorithm Hans et al. (2007). The performance of the new model is demonstrated through comparisons with other methods. Numerical studies on both real data analysis and simulations show that our new method tends to find relevant variable more effectively when higher order interaction terms are considered.