HUMAN RESOURCE MANAGEMENT AND INDUSTRIAL RELATIONS[1]

Human resource management (HRM) is a term which is now widely used but very loosely defined. In this paper it is argued that if the concept is to have any social scientific value, it should be defined in such a way as to differentiate it from traditional personnel management and to allow the development of testable hypotheses about its impact. Based on theoretical work in the field of organizational behaviour it is proposed that HRM comprises a set of policies designed to maximize organizational integration, employee commitment, flexibility and quality of work. Within this model, collective industrial relations have, at best, only a minor role. Despite the apparent attractions of HRM to managements, there is very little evidence of any quality about its impact. Furthermore very few UK organizations appear to practise a distinctive form of HRM, although many are moving slowly in that direction through, for example, policies of employee involvement.     

Polyhedral Combinatorics in Combinatorial Optimization

Polyhedral combinatorics is a subarea of combinatorial optimization of increasing practical importance. It deals with the application of the theory of linear systems and linear algebra to combinatorial problems. The paper is not intended as a survey on polyhedral combinatorics but it reviews some of the main concepts and proof techniques.     

Cost and technical change: Effects from bank deregulation

Banks were substantially deregulated during the 1980s. This altered the cost-minimizing mix between deposit interest payments and operating expenses (capital and labor for branch convenience and free deposit services). Measured bank output was relatively unaffected by these changes. The proportion of deposits receiving higher interest rates increased more rapidly than factor quantities were reduced, so unit deposit costs rose. Consumers benefited, but the measured net effects for banks were negative, averaging –0.8% to –1.4% a year in net technical change from 1977 to 1988. These influences were measured three different ways and for both equilibrium and disequilibrium factor input specifications. All three approaches—a standard time trend, a time-specific index, and shifts in cross-sectional cost functions—gave consistent results. The results were robust whether measured at the banking firm or branch office level or on the cost frontier.     

Legalistic organizational responses to catastrophic illness: The effect of stigmatization on reactions to HIV/AIDS

The HIV/AIDS epidemic has focused increased attention on catastrophic illnesses in the workplace, and because of the stigmas associated with HIV/AIDS, it raises three primary concerns for organizations: (1) organizational avoidance of legal sanctions and litigation; (2) the maintenance of organizational legitimacy; and (3) organizational protection of employee rights. Although many organizations adopt legalistic responses to cope with these concerns, the analysis presented in this article suggests that while legalistic approaches function well to protect organizational interests in terms of both legal liability and legitimacy, the are only partially able to protect employee rights. Drawing upon the limited literature on HIV/AIDS in the workplace, this article presents an agenda for future research on organizational responses to HIV/AIDS.     

Distribution-free tests for comparing several treatments with a control

Abstract  In this paper we propose distribution-free treatments versus control tests for the one- and two-way classifications. The null distribution properties are shown to be equivalent to those of well-known statistics for which critical values have been extensively tabled. Asymptotic relative efficiencies with respect to corresponding normal theory competitors are derived and optimal designs for the allocation of experimental units to the treatments and control are obtained.     

Inferences about the parameters of a time series model with changing variance

Summary We consider the problem of making inferences about the parameters of a time series model when there is the possibility of a discrete variance change at an unknown time point. For this we obtain the posterior distributions of the parameters and of the variance ratio.     

Are robust estimation methods useful in the structural errors-in-variables model?

Summary In this paper it is investigated whether robust estimation procedures for the parameters of a regression model are also applicable when the observations are generated by the errors-in-variables model. Specifically, attention is paid to bounded-influence estimators, i.e. estimators that are constructed in such a way that the influence of a single observation on the outcome of the estimator is bounded. Both the classical errors-in-variables model and models with contaminated observational errors are considered.The authors are indebted to a referee for his valuable comments on an earlier version of this paper.     

Basic Needs and Technology Transfer Issues in the 'New International Economic Order'

A bstract . Developing countries have called for the establishment of a new International Economic Order. New perceptions of development are examined as they relate to haste needs and the transfer of technology within such a framework. The approach seeks to reduce and eventually to eliminate dependence on developed country enterprises, thus allowing developing countries to control their natural resources. It seeks to accelerate self-reliance and to introduce some measure of global management of resources. Technology transferred must be appropriate technology, adapted to local conditions and aimed at meeting specific local needs.     

The occurrence of outliers in the explanatory variable considered in an errors-in-variables framework

Summary The problem of estimating the slope of a linear relationship between two jointly normally distributed random variables is considered when outliers may occur in the explanatory variable. It will be studied as a special case of an errors-in-variables problem where the explanatory variable is measured which a nonnormally distributed error. In this more general model and under certain conditions a consistent estimator can be given with a normal limiting distribution. Applications to cases of outliers in the explanatory variable will be presented.