Assessing the organizational fit of a just-in-time manufacturing system: Testing selection, interaction and systems models of contingency theory

The adoption of new manufacturing practices such as just-in-time (JIT) and total quality management (TQC) is only a first step to improving manufacturing performance. Even more critical is the fit between manufacturing practices and organizational design, structure and processes. Using archival and survey data, this paper reports the results of a field study within a Fortune 500 company that tests three operationalizations of contingency theory as discussed by Van de Ven and Drazin (1985) [The Concept of Fit in Contingency Theory, Research in Organizational Behavior, pp. 333–365]. Results show that the misfit between worker empowerment required by JIT/TQC practices and existing authoritarian management partially explain relative workgroup performance as do other conflicts within workgroups and between operators and supervisors.     

Sovereign risk assessment and agency credit ratings

Sovereign ratings are gaining importance as more governments with greater default risk borrow in international bond markets. However, while the ratings have proved useful to governments seeking market access, the difficulty of assessing sovereign risk has led to agency disagreements and public controversy over specific rating assignments. Recognising this difficulty, the financial markets have shown some scepticism toward sovereign ratings when pricing issues.     

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Libor Market Models versus Swap Market Models for Pricing Interest Rate Derivatives: An Empirical Analysis

We empirically compare Libor and Swap Market Models for thepricing of interest rate derivatives, using panel data on pricesof US caplets and swaptions. A Libor Market Model can directlybe calibrated to observed prices of caplets, whereas a SwapMarket Model is calibrated to a certain set of swaption prices.For both models we analyze how well they price caplets and swaptionsthat were not used for calibration. We show that the Libor MarketModel in general leads to better prediction of derivative pricesthat were not used for calibration than the Swap Market Model.Also, we find that Market Models with a declining volatilityfunction give much better pricing results than a specificationwith a constant volatility function. Finally, we find that modelsthat arechosen to exactly match certain derivative prices areoverfitted; more parsimonious models lead to better predictionsfor derivative prices that were not used for calibration. JELClassification: G12, G13, E43.     

Prostate cancer

Prostate cancer is the most common internal cancer in American males. There are many variables that effect prognosis, with the Gleason scoring system being one of the most important factors. There is controversy regarding the ideal treatment in various subsets of prostate cancer patients. Posttreatment prostate specific antigen values have prognostic significance.