Territorial Struggles in the Marriages of Alcoholics*

Typical treatment modalities for alcoholics are geared to the individual even though the majority of alcoholics are married. The benefits of working with the couple, especially in group therapy, are pointed out. Particularly stressed is the importance of the proper placement of certain thoughts, feelings, and behaviors (e.g., drinking) into either “private territory” (one's own business) or “mutual territory” (family business). Useful working assumptions are discussed along with related practical techniques.     

The role of target vulnerabilities in high-technology protest movements: The nuclear establishment at Three Mile Island

Contemporary perspectives on social movements focus primarily upon challenging groups and political authorities, frequently ignoring the importance of vulnerabilities of the target of protest in shaping the outcomes of protracted struggles. The target's own human and technological weaknesses which emerge in the course of the conflict, however, are sometimes critical, as shown in this analysis of citizens' six-year endeavor to prevent the restart of Three Mile Island's Unit 1 reactor after the Unit 2 accident. If, as has been suggested (Perrow, 1984), modern industrial nations can expect an increase in such system accidents, they are likely to precipitate a new genre of social movements pitting local residents against high technology industries. Emergent target vulnerabilities are likely to figure prominently in some of these processes, and social movement analysts' explanatory models should allow for them.     

Structural elements of material well-being: An empirical test among people on social security

The paper reports on a study of indicators of well-being, including objective indicators of well-being, global, affective indicators of well-being, and indicators of socio-economic well-being. Socioeconomic well-being is (narrowly) defined as that part of the individual's universal well-being which is strongly related to money and material means.It was hypothesized that these 3 classes of indicators of well-being have different meanings for the various groups of people on social security. Therefore, data were collected from a Dutch, nationally representative sample of 3 categories of individuals drawing benefits, namely: people receiving social benefits; unemployed, and disabled people, and a group of people in work. Hypotheses were tested regarding the following issues:

University planning: An organization model

As the author points out, University plannign is at a fairly primitive stage of development. The University shares with other non-profit making institutions the problem of defining specific goals of measuring performance towards these goals. He analyses the difficulties of planning in the university environment and to suggest four stages of organization through which universities are likely to pass in developing planning systems.     

Corporate product planning: A vector analysis approach

This article presents one approach for reviewing corporate product decisions using vector analysis. Vector analysis is a relatively little used technique in business; however, it is helpful in dealing with marketing problems involving more than two major variables. This technique is especially useful to marketing executives since it can provide information for allocating resources to each brand in the product line.The companies in which this technique may be applied share certain characteristics: all have multi-products which are substitutable and distributed nationally; all depend on marketing as an important part of their operations and all use marketing research on a regular basis.     

Objectives, missions and performance measures in multinationals

This article examines performance evaluation systems of fifteen multinationals — five German, five UK and five US — and how they relate to corporate strategy or mission statements in each case. The technique of analysis used is the multilayered case study approach, and includes ‘face-to-face’ interviews.The results, by authors Jeffrey Coates, Edward Davis, Stephen Longden, Raymond Stacey (Aston University) and Clive Emmanuel (University of Glasgow), are very instructive. The cases show a consistent use of missions/strategies, objectives and performance measures within the companies, but wide variation between them. Detailed tables are presented which show clearly the range of variation between the companies and countries concerned.     

Transforming technology management education: Value creation-learning in the early twenty-first century

Management education is often criticized as irrelevant, out of touch, too “trade-school,” too interested in training financial services professionals and consultants, and insufficiently focused on innovation, the major driver of the economy. Technology management (TM) education has always focused on practical and relevant issues and innovation has been a major theme. We believe however that rapid changes in the global environment of business demand changes in the underlying assumptions of TM. Starting with a brief overview of the field, this paper examines the major environmental changes that must be addressed by TM and the skills that future graduates will require.     

Harnessing the Theoretical Foundations of the Exponential and Beta‐Poisson Dose‐Response Models to Quantify Parameter Uncertainty Using Markov Chain Monte Carlo

Dose‐response models are the essential link between exposure assessment and computed risk values in quantitative microbial risk assessment, yet the uncertainty that is inherent to computed risks because the dose‐response model parameters are estimated using limited epidemiological data is rarely quantified. Second‐order risk characterization approaches incorporating uncertainty in dose‐response model parameters can provide more complete information to decisionmakers by separating variability and uncertainty to quantify the uncertainty in computed risks. Therefore, the objective of this work is to develop procedures to sample from posterior distributions describing uncertainty in the parameters of exponential and beta‐Poisson dose‐response models using Bayes's theorem and Markov Chain Monte Carlo (in OpenBUGS). The theoretical origins of the beta‐Poisson dose‐response model are used to identify a decomposed version of the model that enables Bayesian analysis without the need to evaluate Kummer confluent hypergeometric functions. Herein, it is also established that the beta distribution in the beta‐Poisson dose‐response model cannot address variation among individual pathogens, criteria to validate use of the conventional approximation to the beta‐Poisson model are proposed, and simple algorithms to evaluate actual beta‐Poisson probabilities of infection are investigated. The developed MCMC procedures are applied to analysis of a case study data set, and it is demonstrated that an important region of the posterior distribution of the beta‐Poisson dose‐response model parameters is attributable to the absence of low‐dose data. This region includes beta‐Poisson models for which the conventional approximation is especially invalid and in which many beta distributions have an extreme shape with questionable plausibility.     

Choosing a Pretest-Posttest Analysis

Pretest-posttest designs serve as building blocks for other more complicated repeated-measures designs. In settings where subjects are independent and errors follow a bivariate normal distribution, data analysis may consist of a univariate repeated-measures analysis or an analysis of covariance. Another possible analysis approach is to use seemingly unrelated regression (SUR). The purpose of this article is to help guide the statistician toward an appropriate analysis choice. Assumptions, estimates, and test statistics for each analysis are approached in a systematic manner. On the basis of these results, the crucial choice of analysis is whether differences in pretest group means are conceived to be real or the result of pure measurement error. Direct consultation of the statistician with a subject-matter person is important in making the right choice. If pretest group differences are real, then a univariate repeated-measures analysis is recommended. If pretest group differences are the result of pure measurement error, then a conditional analysis or SUR analysis should be used. The conditional analysis and the SUR analysis will produce similar results. Smaller variance estimates can be expected based on the SUR analysis, but this gain is partially mediated by a lack of an exact distribution for test statistics.     

Corporate long-range planning groups—Some different approaches

This paper investigates several atypical roles of formal long-range planning groups and some reasons for their appearance. The study is based on three separate surveys covering 115 companies in eight industries located in both England and the United States. The authors first identify functions based on their own research and the literature which appear to make up a typical planning group role. Twenty-four of the 115 planning groups surveyed very considerable as well as sytematically from the norm. They are classified into three major categories described as (1) capital budgeting groups, (2) project development groups, and (3) think tank groups.