Paradoxes of risk management: Social responsibility and self-exclusion in Dutch casinos

This article deals with the basic contradictions of risk management and responsibility regarding problem gambling and self-exclusions, and draws special attention to the role knowledge production and science play in the construction and evaluation of gambling risks. This remarkable case of corporate social responsibility (CSR) is analyzed from a risk-governance perspective. It is grounded on a case study of the CSR practice of the Dutch casino monopoly, in particular the problem gambling mitigation and self-exclusion program of this corporation. The intentions and operations of this ‘responsible gambling’ practice constitute new business values and working norms. At the same time empirical evaluations of the self-exclusion program reveal that despite all the efforts put in the risk-management strategies, a significant part of the problem cannot be addressed at all. This points toward a major paradox of risk management. Overall the article highlights the ambiguous nature of risk management and responsible gambling.     

Change agent's contribution to recipients' resistance to change: A two-sided story

In the change management literature, most studies on recipients' resistance to change include only the views of agents or of recipients, thereby ignoring that these parties may have different perceptions. In this quantitative study, we include the perceptions of both parties in studying the recipients' resistance and the impact of the agent's leadership behavior. In a sample of 117 agent-recipients groupings, covering 110 different change projects in 90 organizations, we found that agents perceive higher levels of recipients' resistance than do the recipients themselves. Additionally, we found that agents who create space to enable recipients to think and act differently (by employing creating behavior) report higher levels of recipients' resistance, whereas recipients perceive their resistance to be lowered when agents facilitate an emotional connection to the change (framing behavior). The depth of the change appeared to moderate the relationship between agent's leadership behavior and recipients' resistance, indicating that agents and recipients differ in which change leadership behaviors they perceive as increasing or decreasing resistance at different levels of change depth. These findings imply to reconsider the relationship between agent and recipients and we propose some promising avenues for future studies in resistance research.     

Extended pairwise local alignment of wild card DNA/RNA sequences using dynamic programming

Optimal string alignment is used to discover evolutionary relationships or mutations in DNA/RNA or protein sequences. Errors, missing parts or uncertainty in such a sequence can be covered with wild cards, so-called wild bases. This makes an alignment possible even when the data are corrupted or incomplete. The extended pairwise local alignment of wild card DNA/RNA sequences requires additional calculations in the dynamic programming algorithm and necessitates a subsequent best- and worst-case analysis for the wild card positions. In this paper, we propose an algorithm which solves the problem of input data wild cards, offers a highly flexible set of parameters and displays a detailed alignment output and a compact representation of the mutated positions of the alignment. An implementation of the algorithm can be obtained at https://github.com/sysbio-bioinf/swat+ and http://sysbio.uni-ulm.de/?Software:Swat+.     

Reality check. Evaluating a school-based gang prevention model

The Gang Resistance Education and Training (G.R.E.A.T.) program is a school-based gang prevention initiative developed in 1991 through the collaborative efforts of the Bureau of Alcohol, Tobacco, and Firearms, the Federal Law Enforcement Training Center, and the Phoenix Police Department. Uniformed law enforcement officers, certified as G.R.E.A.T. instructors, teach the 9-week curriculum to middle students. In 1994, the National Institute of Justice funded a national evaluation of the G.R.E.A.T. program. The process evaluation component of this larger study is reported. First, results of on-site observations of the G.R.E.A.T. Officer Training program, including an overview of the training activities, and the authors' assessment of the training process are reported. Second, observations of the implementation of the program by officers at six sites are reported. Of primary concern was whether the program delivered to students was similar to the program taught to the officers during the G.R.E.A.T. Officer Training.     

Measuring community mobilization in the Seattle Minority Youth Health Project.

This article assesses the validity and reliability of the approach used to measure community mobilization in the Seattle Minority Youth Health Project (MY Health), a neighborhood-based program to prevent drug use, violence, teen pregnancy, and sexually transmitted diseases (STDs). Two constructs were measured: neighborhood cooperation in solving problems, and sense of pride and identification with the neighborhood. The convergent validity of the measurement approach was assessed by comparing several independent measures of community mobilization generated from surveys of key neighborhood leaders, youth, and parents. For the neighborhood cooperation construct, correlations were uniformly positive across measures from different surveys and statistically significant about a quarter of the time. The correlations for the neighborhood pride construct were weaker and generally not statistically significant. Interrater reliability was low for all of the surveys, possibly reflecting varying ideas about what community mobilization meant among survey respondents.     

Economics, law, and covenant marriage

Covenant marriage may be difficult to understand as a gender issue. However, marriage and divorce are closely linked to workforce participation and child rearing. This piece looks at new proposals for choices in divorce regime from legal, economic, and social perspectives, concluding that the option of contracting a more permanent form of marriage increases the possibilities for women and signals societal interest in promoting more stable families. The article favorably compares Louisiana covenant marriage legislation to other states' suggestions for returns to fault-only regimes, and pays some attention to the role one state's marriage and divorce laws play in the federal system.     

Bayesian MARS

A Bayesian approach to multivariate adaptive regression spline (MARS) fitting (Friedman, 1991) is proposed. This takes the form of a probability distribution over the space of possible MARS models which is explored using reversible jump Markov chain Monte Carlo methods (Green, 1995). The generated sample of MARS models produced is shown to have good predictive power when averaged and allows easy interpretation of the relative importance of predictors to the overall fit.     

Discrete distributions with maximum expected value of the maximum

We give an upper bound for the expected value of the largest order statistic of a simple random sample of size n from a discrete distribution on N points. We also characterize the distributions that attain such bound. In the particular case n=2, we obtain a characterization of the discrete uniform distribution. © 1998 Elsevier Science B.V. All rights reserved.     

Failure Inference From a Marker Process Based on a Bivariate Wiener Model

Many models have been proposed that relate failure times and stochastic time-varying covariates. In some of these models, failure occurs when a particular observable marker crosses a threshold level. We are interested in the more difficult, and often more realistic, situation where failure is not related deterministically to an observable marker. In this case, joint models for marker evolution and failure tend to lead to complicated calculations for characteristics such as the marginal distribution of failure time or the joint distribution of failure time and marker value at failure. This paper presents a model based on a bivariate Wiener process in which one component represents the marker and the second, which is latent (unobservable), determines the failure time. In particular, failure occurs when the latent component crosses a threshold level. The model yields reasonably simple expressions for the characteristics mentioned above and is easy to fit to commonly occurring data that involve the marker value at the censoring time for surviving cases and the marker value and failure time for failing cases. Parametric and predictive inference are discussed, as well as model checking. An extension of the model permits the construction of a composite marker from several candidate markers that may be available. The methodology is demonstrated by a simulated example and a case application.