Operational Research and the environment

The discipline of Operational Research (OR) is primarily concerned with improving the effectiveness and efficiency of decision processes. These processes take place everywhere in society: industry, banking, agriculture, government, politics. Frequent use of mathematical optimization models is typical of OR. Since the early '80s these models are increasingly packaged in a user-friendly way, as Decision Support Systems. In the following we will illustrate how OR can be used to describe and solve a number of environmental problems.     

The relationship between wellness participation and health care benefit utilization

To examine the relationship between participation in a wellness program and the amount of absenteeism and medical claims, seven years of retrospective absenteeism and medical claims records were collected for 207 employees (pre- and postwellness intervention) and entered into a database. A proportional stratified random sample of workers by wellness participation was selected. While there was no significant change in the amount of sick leave taken over time, a log transformation revealed a significant increase in the dollar amount of medical claims over time, particularly for the middle-aged group of employees. This confirms that wellness intervention slowed the rate of increasing claims among middle-aged participants after just three years of wellness intervention.     

Creating a global health care company

Global pharmaceutical mergers have spread the huge costs of research and enabled companies to sell their products in countries where they previously lacked a presence. Here's how the Beecham-SmithKline Beckman marriage was developed to propel the organization into a position as a worldwide player in the drug industry.     

Umpire and batsman: Is it cricket to be both?

The paper is a response to Richard De George's essay, Theological Ethics and Business Ethics. It defends the possibility of theologically oriented approaches to business ethics by pointing out certain deficiencies in business ethics narrowly based on the premisses of analytic moral philosophy. In particular it argues, in a manner consistent with Alasdair MacIntyre's After Virtue (1981), that such a program of business ethics is insufficiently critical of its own roots in the social fiction of bureaucratic rationality. After showing how this ideology governs De George's negative judgments on theological approaches to business ethics, the author outlines a program of critical reflection that would draw from the intellectual traditions of both theology and philosophy in order to facilitate a dialogue in business ethics that no longer is captive in the Iron Cage of bureaucratic rationality. Dennis P. McCann is an Associate Professor of Religious Studies at De Paul University. He has served on the faculties of Reed College and Lewis and Clark College. He is the author of Christian Realism and Liberation Theology (1981) and a co-author of Polity and Praxis: A Program for American Practical Theology (1985).     

Force and Influence in Content Analysis: The Production of New Social Knowledge

We examine the two traditions of content analysis: the first in which one substitutes words of a text with categories, and the second in which one looks for clusters of words that may refer to a theme. In the first tradition, preexisting dictionary categories give meaning to the words; in the second, meaning comes after the fact. Preexisting dictionary categories (the substitution model) are calibrated instruments applied within experimental designs that leave no space for doubt; meanwhile, the ability of the correlational model to conjure up complex themes from fragments of a text yields no unique solution. These differences have bearings on the production of new social knowledge. We expound on the epistemological foundations of the two traditions of interpretation and draw from them decision rules upon which one may rely for choosing among appropriate content-analytic tactics. Two reasons make this essay timely and critical: (1) the increasing variety of new content-analyticsoftware for particular purposes and (2) the almost exclusive focusing on software and technology at the expense of adjusting the choice of the software to the nature of the text. Two studies, one in historiometry, the other in autobiography, illustrate the liabilities and benefits of the two models of content analysis.     

Measuring Hospital Performance in the Presence of Quasi-Fixed Inputs: An Analysis of Québec Hospitals

This research proposes an approach to measure hospital performance based on a generalization of Banker and Morey (1986) and Førsund (1996). This approach considers quasi-fixed inputs explicitly, calculates their implicit cost, and quantifies returns to scale. The performance measure is decomposed into allocative and technical inefficiencies. Based on a very complete data set of Québec hospitals, we find that significant inefficiencies of up to 17% ($700 CAN million) could have been saved through improved performance. Postestimation analyses that include qualitative measures of care suggest that differences in performance are attributable to differences in management or unobservable quality of care rather than patient case mix.     

An effective step-down algorithm for the construction and the identification of nonisomorphic orthogonal arrays

In this paper we present an effective algorithm for the construction and the identification of two-level nonisomorphic orthogonal arrays. Using this algorithm, we identify and list a full catalogue of nonisomorphic orthogonal arrays with parameters OA(24,7,2,t), OA(28,6,2,t) and OA(32,6,2,t), t ≥ 2. Some statistical properties of these designs are also considered.