Selecting Sites for New Facilities Using Data Envelopment Analysis

This paper develops a mathematical programming model for obtaining a best set of sites for planned facilities. The model is concerned with those situations where resource constraints are present. The specific setting for the paper involves the selection of sites for a set of retail outlets, wherein the ratio of aggregate outputs to inputs for the selected set is maximal among all possible sets that could be chosen. At the same time, the model guarantees that the only sets of stores allowable are those for which the available resources are used to the maximum extent possible.     

A General Method of Deriving the Inefficiencies of Banks from a Profit Function

This article develops a new method of estimating inefficiencies in joint production and shows that unlike the approaches utilized in the previous studies of inefficiency, this method maintains a consistent relationship between the error term of a profit function and the error terms of its price derivatives. A useful by-product of the method is a proof of a Hotelling-like lemma that relates stochastic input demand and output supply functions to stochastic profit functions. While the previous studies fit a single frontier to data on all firms, this paper estimates a frontier unique to every observed firm to allow each one to have a different potential of achieving maximal levels of profit. The new method is applied in the analysis of annual data, 1984–1989, for U.S. commercial banks. Both the analytical and numerical results of the paper show that the residual that the previous studies attribute to inefficiency includes the effects of excluded variables and of inaccuracies in the specified functional forms. Once accurate estimates of these effects are subtracted from the residual, the distortions in the measured inefficiencies should be considerably reduced. Consequently, this article considers how such estimates might be obtained.     

HOW IDEOLOGIES SUPPLANT FORMAL STRUCTURES AND SHAPE RESPONSES TO ENVIRONMENTS

Observations of nineteen hospitals show how organizational ideologies are manifested and sustained by beliefs, stories, languages, and ceremonial acts. The data indicate that harmonious ideologies accompany simple structures, but that discordant ones accompany elaborate structures. Through their effects on people and structures, ideologies guide organizations’responses to external threats.     

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.     

Legalization of drugs: Effects on the workplace

In the last few years bipartisan support for legalizing drugs has grown to a surprising level. Because of the lack of involvement of the business community in this debate, we surveyed the human resource managers of 127 firms about their perceptions of the effects of legalization. Their responses were uniformly negative, with expectations that drug use, absenteeism, worksite crime, and liability costs would increase, while the quality and quantity of work would decline. They also forecast increases in drug testing, performance monitoring, and education and rehabilitation programs as a result.     

On the individual moving average inequality

Summary A very simple deduction of a recently treated inequality is presented and some variations on this proof, drawing together various properties, are discussed. Closure of moving average processes undermultiplication is also mentioned.     

ON THE FIRST–ORDER EFFICIENCY AND ASYMPTOTIC NORMALITY OF MAXIMUM LIKELIHOOD ESTIMATORS OBTAINED FROM DEPENDENT OBSERVATIONS

Abstract. In this paper we study the first–order efficiency and asymptotic normality of the maximum likelihood estimator obtained from dependent observations. Our conditions are weaker than usual, in that we do not require convergences in probability to be uniform or third–order derivatives to exist.
The paper builds on Witting and Nolle's result concerning the asymptotic normality of the maximum likelihood estimator obtained from independent and identically distributed observations, and on a martingale theorem by McLeish.     

Income distribution,economic structure and employment in South Africa

This paper discusses the impact of a redistribution of current income from the White to the Black population on the distribution of sectoral output, and total employment by means of a semi‐closed input‐output model.

The results show that a redistribution of current income towards Black households — which no doubt will have positive social and political repercussions — has a non‐negative effect on GDP and a definite positive effect on the performance of sectors with a high private consumption expenditure component, as well as on total employment.     

Alliance competence, resources, and alliance success: Conceptualization, measurement, and initial test

This research examines the effect of an alliance competence on resource-based alliance success. The fundamental thesis guiding this research is that an alliance competence contributes to alliance success, both directly and through the acquisition and creation of resources. Using survey data gathered from 145 alliances, empirical tests of the hypotheses provide support for the posited explanation of alliance success. The findings indicate that an alliance competence is not only antecedent to the resources that are necessary for alliance success but also to alliance success itself. C. Jay Lambe (Ph.D., The Darden School at University of Virginia) is an assistant professor of marketing in the Pamplin College of Business at Virginia Tech. For 10 years prior to entering academe, he was engaged in business-to-business marketing for both Xerox and AT&T. His research interests include business-to-business marketing, relationship marketing, marketing strategy, and sales management. He has publications in theJournal of the Academy of Marketing Science, theJournal of Product Innovation Management, theEuropean Journal of Marketing, theJournal of Personal Selling and Sales Management, theInternational Journal of Management Reviews, theJournal of Business-to-Business Marketing, and theJournal of Relationship Marketing. He also serves as a reviewer for theJournal of Business-to-Business Marketing. Prior to joining the faculty at Virginia Tech, he was one of five Texas Tech University faculty members chosen in 1999 from the entire university for the annual Outstanding Faculty Member Award by the Mortar Board and Omicron Delta Kappa (Texas Tech University student organizations that recognize excellence in teaching). Robert E. Spekman is the Tayloe Murphy Professor of Business Administration at the Darden School at the University of Virginia. He was formerly a professor of marketing and associate director of the Center for Telecommunications at the University of Southern California. He is an internationally recognized authority on business-to-business marketing and strategic alliances. His consulting experiences range from marketing research and competitive analysis, to strategic market planning, supply chain management, channels of distribution design and implementation, and strategic partnering. He has taught in a number of executive programs in the United States, Canada, Latin America, Asia, and Europe. His executive program experience ranges from general marketing strategy, to sales force management, to channels strategy, to creating strategic alliances, to business-to-business marketing strategy, to a number of single-company and senior executive management programs. He has edited and/or written seven books and has authored (coauthored) more than 80 articles and papers. He also serves as a reviewer for a number of marketing and management journals, as well as for the National Science Foundation. Prior to joining the faculty at the University of Southern California, he taught in the College of Business at the University of Maryland, College Park. During his tenure at Maryland, he was granted the Most Distinguished Faculty Award by the MBA students on three separate occasions. Shelby D. Hunt is the J. B. Hoskins and P. W. Horn Professor of Marketing at Texas Tech University, Lubbock. A past editor of theJournal of Marketing (1985–87), he is the author ofModern Marketing Theory: Critical Issues in the Philosophy of Marketing Science (South-Western, 1991) andA General Theory of Competition: Resources, Competences, Productivity, Economic Growth (Sage, 2000). He has written numerous articles on competitive theory, macromarketing, ethics, channels of distribution, philosophy of science, and marketing theory. Three of hisJournal of Marketing articles—“The Nature and Scope of Marketing” (1976), “General Theories and Fundamental Explananda of Marketing” (1983), and “The Comparative Advantage Theory of Competition” (1995) (with Robert M. Morgan)—won the Harold H. Maynard Award for the best article on marketing theory. His 1985Journal of Business Research article with Lawrence B. Chonko, “Ethics and Marketing Management,” received the 2000 Elsevier Science Exceptional Quality and High Scholarly Impact award. His 1989 article, ”Reification and Realism in Marketing: in Defense of Reason,” won theJournal of Macromarketing Charles C. Slater Award. For his contributions to theory and science in marketing, he received the 1986 Paul D. Converse Award from the American Marketing Association, the 1987 Outstanding Marketing Educator Award from the Academy of Marketing Science, and the 1992 American Marketing Association/Richard D. Irwin Distinguished Marketing Educator Award.