Some Difficulties in Sacconi's View about Corporate Ethics

Lorenzo Sacconi's The Social Contract of the Firm (Berlin, Springer, 2000) is a major contribution to the normative theory of the firm. It contains a full-fledged contractarian explanation of the role of Corporate Codes of Ethics. Sacconi proposes a game-theoretical model of the normative structure of the firm, including explicit and implicit contracts binding the members of the organisation, and the so-called constitutional contract: the hypothetical agreement that sets the basic co-operative structure in which the organisation consists. While Sacconi's theory is sound and full of suggestions, it is doubtful whether it completely grasps the nature of organisational ethics. In presenting organisations as the product of an agreement among self-interested individuals, the model does not account for the social and systemic embeddedness of business institutions. This paper points to several shortcomings of Sacconi's view, and explores alternative understandings of a contractarian morality as applied to business ethics.     

Logistic service quality and technology: a comparison between supplier–retailer and retailer–consumer relationships

Physical distribution quality can be considered as a differentiation factor and, in this way, as a source of competitive advantage. Nevertheless, there is neither consensus about its dimensions, or on how it might be influenced by technological solutions. The present paper aims at identifying the main antecedents of logistic service quality, examining the influence of technology on logistic service quality and analysing its effects on firm results in terms of customer satisfaction and loyalty in different levels of the marketing channel. The proposed structural equations model is tested empirically in two different samples: 400 consumers and 304 distributors. For both samples, technology assessment shows a positive effect on logistic service quality and this, in turn, generates customer satisfaction and loyalty.     

Selection processes in a Delphi study about key qualifications in Senior Secondary Vocational Education

The focus of this study is the Delphi method. First, a short history of the Delphi method is given. Then, different types of the Delphi method are described, and the validity and reliability of the Delphi method are discussed. Finally, this study reports on the selection processes and assessments faced when a policy Delphi was conducted into qualification issues in Senior Secondary Vocational Education in the Netherlands.     

Currency crises with the threat of an interest rate defence

While virtually all currency crisis models recognise that the decision to abandon a peg depends on how tenaciously policy makers defend it, this is seldom modelled explicitly. We add the threat of an interest rate defence to the global game model of Morris and Shin (American Economic Review 88, 1998). With an endogenous defence, actions of speculators may become strategic substitutes instead of the usual complements. Nevertheless, our generalised model remains tractable and has a unique threshold equilibrium. It provides additional insights. For instance, the threat of an interest rate defence makes speculation riskier and this may be sufficient to keep speculators out when fundamentals are still relatively strong.     

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Improving GARCH volatility forecasts with regime-switching GARCH

Many researchers use GARCH models to generate volatility forecasts. Using data on three major U.S. dollar exchange rates we show that such forecasts are too high in volatile periods. We argue that this is due to the high persistence of shocks in GARCH forecasts. To obtain more flexibility regarding volatility persistence, this paper generalizes the GARCH model by distinguishing two regimes with different volatility levels; GARCH effects are allowed within each regime. The resulting Markov regime-switching GARCH model improves on existing variants, for instance by making multi-period-ahead volatility forecasting a convenient recursive procedure. The empirical analysis demonstrates that the model resolves the problem with the high single-regime GARCH forecasts and that it yields significantly better out-of-sample volatility forecasts. First Version Received: November 2000/Final Version Received: August 2001