The Marketing Concept and New High-Tech Products: Is There a Fit?

This article defines the marketing concept in a traditional way, but extends its application to high-technology products. Dennis Cahill, Sharon Thach, and Robert Warshawsky present two case studies of high-technology products. Both products were ultimately market failures; however, the analysis presents one as a successful application of the marketing concept, contrasting sharply with the other.     

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).     

Seasonality and non-linear price effects in scanner-data-based market-response models

Scanner data for fast moving consumer goods typically amount to panels of time series where both N and T are large. To reduce the number of parameters and to shrink parameters towards plausible and interpretable values, Hierarchical Bayes models turn out to be useful. Such models contain in the second level a stochastic model to describe the parameters in the first level.     

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.     

Deregulating Network Industries: Dealing with Price-quality Tradeoffs

This paper examines the effects of introducing competition into monopolized network industries on prices and infrastructure quality. Analyzing a model with reduced-form demand, we first show that deregulating an integrated monopoly cannot simultaneously decrease the retail price and increase infrastructure quality. Second, we derive conditions under which reducing both retail price and infrastructure quality relative to the integrated monopoly outcome increases welfare. Third, we argue that restructuring and setting very low access charges may yield welfare losses, as infrastructure investment is undermined. We provide an extensive analysis of the linear demand model and discuss policy implications.     

Macroeconomic forecasting using structural factor analysis

The use of a small number of underlying factors to summarize the information from a much larger set of information variables is one of the new frontiers in forecasting. In prior work, the estimated factors have not usually had a structural interpretation and the factors have not been chosen on a theoretical basis. In this paper we propose several variants of a general structural factor forecasting model, and use these to forecast certain key macroeconomic variables. We make the choice of factors more structurally meaningful by estimating factors from subsets of information variables, where these variables can be assigned to subsets on the basis of economic theory. We compare the forecasting performance of the structural factor forecasting model with that of a univariate AR model, a standard VAR model, and some non-structural factor forecasting models. The results suggest that our structural factor forecasting model performs significantly better in forecasting real activity variables, especially at short horizons.