Can we afford international human rights?

In a recent important book,The Ethics of International Business, Tom Donaldson argues that multinational corporations (as well as individuals and nationstates) must, at a minimum, respect international human rights. For a purported right to be such a fundamental right it must satisfy three conditions. Donaldson calls the third condition the fairness-affordability condition. The affordability part of this condition holds that moral agents must be capable of paying for the burdens and responsibilities that a proposed human right would impose. If this is impossible, then the purported right is not an international human right.I argue that Donaldson's affordability condition is subject to four objections which reveal its untenability as one of the conditions upon which identification of international human rights must rest. I offer another way of treating problems of affordability and capability when it comes to such rights that all moral agents must respect.George G. Brenkert is Professor of Philosophy at the University of Tennessee/Knoxville. He has recently completed a book,Political Freedom, to be published by Routledge. His current research focuses on issues in business ethics.     

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.     

RECEIPT OF INFORMATION AND INFLUENCE OVER DECISIONS IN HOSPITALS BY THE BOARD, CHIEF EXECUTIVE OFFICER AND MEDICAL STAFF

This article examines relationships between receipt of internal administrative information in hospitals, influence over general management decisions, and the extent to which certain organizational characteristics predict the receipt of information by each of the three major groups in hospitals: the board, the CEO, and the medical staff. Using a US national sample of 287 non-profit community hospitals, CEOs were found to receive the greatest amount of information and had highest influence while medical staffs were lowest on both measures. of five major organizational characteristics, hospital size emerged as the single strongest predictor of receipt of information for both boards (beta =?0.28, p 0.001) and medical staffs (beta =?0.42, p 0.001). Overall, the five dependent variables explained 18 per cent of the variance in receipt of information by boards and 28 percent of the variance for medical staffs.     

THE INFLUENCE OF ORGANIZATION STRUCTURE ON THE UTILITY OF AN ENTREPRENEURIAL TOP MANAGEMENT STYLE

This study examined the influence of organization structure on the relationship between top management's entrepreneurial orientation and financial performance. Moderated regression analysis was used to analyse data collected from 80 business organizations. the findings suggest that an entrepreneurial top management style has a positive effect on the performance of organically-structured firms and a negative effect on the performance of mechanistically-structured firms.     

Zur Entscheidung y>y0 aufgrund der Messung einer korrelierten Variablen

Zusammenfassung Es wird eine optimale Strategie im Sinne des minimalen erwarteten Verlustes für die beiden Entscheidungeny>y _o undyy _o aufgrund der Messungen einer mitY positiv korrelierten, einfacher und/oder billiger zugänglichen ZufallsvariablenX abgeleitet. Dabei wird angenommen, daßX undY nach einer bivariaten Normalverteilung mit bekannten Parametern verteilt sind und die Entscheidungyy _o getroffen wird, wennx größer ist als ein zu bestimmendesx _o, und die Entscheidungy>y _o, wennx gleich oder kleiner als diesesx _o ist. Für die Bestimmung des optimalenx _o werden zunächst die Kosten für die beiden Fehlentscheidungen jeweils als konstant vorausgesetzt, in einem weiteren Ansatz wird jedoch für die Mißklassifikationyy _o eine mity exponentiell wachsende Risikofunktion angenommen. Um die relative Häufigkeit der zu erwartenden Fehlklassifikationen abschätzen zu können, wird schließlich die bedingte WahrscheinlichkeitP(x>x _o,y) errechnet.

---

Summary An optimal strategy, with minimum expected risk, for the decisionsy>y _o oryy _o is constructed on the basis of the measurement of a variableX, which is positively correlated withY and can be measured more easily and/or with smaller expense. A bivariate normal distribution with known parameters is assumed forX andY. For the observationsx a limitx _o is aimed at, so that the decisionsy>y _o oryy _o are taken ifx>x orxx _o respectively. Optimal values ofx _o are first calculated under the assumption of constant losses for the two misclassifications (x>x _o ifyy _o andxx _o ify>y _o). In a further approach the loss for a wrong decisionyy _o is assumed to increase exponentially withy. Finally the conditional probabilityP (x>x _o\y) is calculated to get an assessment of the relative frequencies of wrong decisions to be expected.