Self-Exclusion as a Harm Minimization Strategy: Evidence for the Casino Sector from Selected European Countries

As the international gambling market continues to expand, determining effective approaches to prevent gambling-related problems becomes increasingly important. Despite a lack of in-depth research into its benefits, self-exclusion is one such measure already in use around the world in various sectors of the gambling industry. The present study is the first of its kind to examine the effectiveness of self-exclusion schemes in the casino sector in selected European countries. A written survey yielded a sample of N = 152 (self)-excluded gamblers. In addition to this cross-section analysis, a small sub-group (n = 31) was monitored over time by means of follow-up surveys carried out 1, 6, and 12 month(s) after the exclusion agreement came into force. The results reveal that the self-excluded individuals are typically under a great deal of strain and show a relatively pronounced willingness to change. However, this largely reaches its peak at the time the decision to self-exclude is made. From a longitudinal perspective, various parameters indicate a clear improvement in psychosocial functioning; a favorable effect that also starts directly after the exclusion agreement was signed. Finally, considering theoretical and empirical findings, possibilities for optimizing (self-)exclusion schemes will be discussed.     

A 14-h night-shift in the control room of a fire brigade

Abstract

All 29 operators in the control room of a fire brigade performed test sessions during work and leisure time at 2-h intervals on a day with a 14-h night-shift, a day off and a day with a 10-h morning shift. The test sessions consisted of a visual search choice reaction time test and two Sternberg memory search tests (1 or 5 letters had to be memorized). Furthermore, the operators recorded their oral temperature and their subjective alertness before each test session. The subject also kept a diary of work and sleep times for 14 days. The circadian rhythm of body temperature was hardly changed by a single night-shift. Parallel to the body temperature, the subjective alertness fell significantly during the night-shift reaching a minimum value at 06:00 h. The mean reaction times increased non-significantly at the end of the night-shift and the results of the two Sternberg memory search tests showed no significant trends. The sleep of the operators after the night-shift was on average reduced to 5 hs 34 min. The results of subjective rating of alertness and reaction time test are interpreted as effects of the combined influences of circadian rhythmicity, sleep loss and time on professional task. Most results support the conclusion that a 14-h night-shift without extensive breaks is not acceptable.     

Supervision als Beitrag zur lernenden Organisation

Supervision gewinnt zunehmende Bedeutung als eine effektive Form reflexiven Lernens von Personen in ihrem beruflichen und organisatorischen Kontext. Der vorliegende Beitrag beschreibt umgekehrt, wie die Reflexionsform Supervision durch eine geeignete Prozessarchitektur, die sie an die Management-und die Entwicklungsprozesse der Organisation koppelt, wesentliche Impulse zur Entwicklung und zum Lernen der Organisation liefern kann.     

Führung in Familienunternehmen: Besonderheiten der Entscheidungsfindung und Verhaltenssteuerung und deren Auswirkung auf den Unternehmenserfolg

This paper draws on a survey design to investigate whether family ownership and leadership have an influence on the decision-facilitating and decision-influencing roles of management control. Moreover, we investigate whether the more intuitive decision making in family firms which is often said to be caused by a lack of professionalism, is indeed a disadvantage. The results indicate significant differences in the use of management controls between family firms and non-family firms. However, in contrast to the prevailing view in literature, the performance of family firms is not affected negatively by their specific way of making decisions and by their more centralized management style. According to our data, the prevailing characterization of family firms as being less professionally managed seems questionable.     

Delinquency among pathological gamblers: A causal approach

In a comprehensive research project on gamblers in self-help groups in West Germany one object of investigation was the question of whether or not pathological gambling has a criminogenic effect. 54.5% of the 437 members of Gamblers Anonymous interviewed stated that they had committed illegal actions in order to obtain money for gambling. Comparisons of this sub-group with those interviewees who did not admit having committed criminal offences show distinct differences: Those who admitted illegal action were more excessive in their gambling behavior and experienced a higher degree of subjective satisfaction through gambling. They also showed a more pronounced problem behavior and more psychosocial problems because of gambling. A multiple regression within the framework of path analysis was computed in order to explore causal links between pathological gambling and delinquency. The results support the hypothesis that pathological gambling can lead to delinquent behavior. Forensic implications are discussed.This article is a revised version of a paper presented at the Eighth International Conference on Risk and Gambling in London, U.K., August 15–17, 1990.The content and presentation of this article has benefited from the comments of Agnes Roemer, Department of Psychology, University of Bremen.     

Finite sensibility and utility functions

According to the concept of finite sensibility an individual utility function has to fulfill Ng's (1975) Convention 1. In this paper we show that relatively weak assumptions already guarantee the existence of a utility function with the desired property and we present a procedure for constructing such a utility function.     

Supplier‐Switching Inertia and Competitive Asymmetry: A Demand‐Side Perspective*

Building on strategic management, operations strategy, and supplier management literatures, this article presents a framework for supplier selection from the demand‐side perspective. We highlight the role of a purchasing firm's switching inertia in the supplier‐selection process and demonstrate the usefulness of our framework for the industrial automation industry. Empirical data for this study was collected from 171 corporate and plant‐level executives in pharmaceutical, chemical, and paper‐and‐pulp manufacturing industries in the United States. A series of Web‐based individually customized discrete choice experiments asked the respondents to either switch to the new supplier or stay with the existing supplier. Based on the results of these experiments, we demonstrate the existence of switching inertia in the supplier‐selection process and discuss the managerial implications for incumbent and challenger supplier firms.     

The link between economic and social upgrading in global supply chains: Experiences from the Southern Cone

This article uses nine case studies of global supply chains (GSCs) in Southern Cone countries to explore the extent to which economic and social upgrading are linked and spread from lead firms to their supply chain. While economic and social upgrading are found in lead firm segments throughout the case studies, the impacts on suppliers are varied. Pattern groupings enable the authors to develop a three‐part typology of development in GSCs, in the light of which they consider the roles of public policies, company behaviour and social actors in addressing developmental outcomes for GSC lead firms and suppliers.     

Nonparametric estimation of the link function including variable selection

Nonparametric methods for the estimation of the link function in generalized linear models are able to avoid bias in the regression parameters. But for the estimation of the link typically the full model, which includes all predictors, has been used. When the number of predictors is large these methods fail since the full model cannot be estimated. In the present article a boosting type method is proposed that simultaneously selects predictors and estimates the link function. The method performs quite well in simulations and real data examples.