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The silver lining effect predicts that segregating a small gain from a larger loss results in greater psychological value than does integrating them into a smaller loss. Using a generic prospect theory value function, we formalize this effect and derive conditions under which it should occur. We show analytically that if the gain is smaller than a certain threshold, segregation is optimal. This threshold increases with the size of the loss and decreases with the degree of loss aversion of the decision maker. Our formal analysis results in a set of predictions suggesting that the silver lining effect is more likely to occur when (i) the gain is smaller (for a given loss), (ii) the loss is larger (for a given gain), and (iii) the decision maker is less loss averse. We test and confirm these predictions in two studies of preferences, both in a nonmonetary and a monetary setting, analyzing the data in a hierarchical Bayesian framework.

© 2009 INFORMS

Jim Robertson was on his way to London on January 6, 2003 to start his new assignment. At 33, he was to be the new player in the London management team of Wisant, a technology-consulting firm that thirteen years after its foundation already looked back on a lively and uneven history. This former New Economy star was now fighting for survival in a market that had dramatically changed between 2000 and 2002. Wisant's CEO James Watson had send Jim to London to realign the managerial system of the UK subsidiary, which had experienced a significant drop in revenue over the previous 12 months.

British artist Damien Hirst is both controversial and successful. Jörg Reckhenrich, Jamie Anderson and Martin Kupp suggest that his innovative approach to life and work demonstrate strategies useful to organizations.

© 2009 The Author Journal compilation © 2009 London Business School

Industrial product service systems (IPS²) are required to meet current customer needs in order to provide solutions to current customer problems. Furthermore, adaptability to changing customer decision drivers is required in order to account for customers' preference changes over time. The purpose of this paper is to present an approach where customer preference drivers for different IPS2 are identified and their directions analyzed.

With permission of Emerald

International standards have the potential to both promote and hinder international trade. Yet empirical scholarship on the standards-trade relationship has been held up due to some methodological challenges: measurement problems, varied effects, and endogeneity concerns. We are able to surmount these challenges while considering the impact of one particular standard on the country-pair trade flows between 91 nations over the 1995-2005 period. To deal with these challenges, we measure the degree of standardization via the penetration of ISO 9000 in individual nations, allow ISO diffusion to manifest via multiple (quality-signaling, information/compliance-cost, and common-language) effects, and use instrumental variable and panel data techniques to overcome endogeneity concerns. We find strong evidence in support of ISO 9000 involving a common-language effect that enhances country-pair trade; yet, the evidence is more mixed with regard to the quality-signaling and information/compliance-cost effects. While we find ISO-rich nations (most notably European) to clearly benefit from the worldwide diffusion of standardization, ISO 9000 represents a de facto trade barrier for nations (e.g., the US and Mexico) lagging behind in terms of adoption.

 

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This article investigates the Farlie-Gumbel-Morgenstern class of models for exchangeable continuous data. We show how the model specification can account for both individual and cluster level covariates, we derive insights from comparisons with the multivariate normal distribution, and we discuss maximum likelihood inference when a sample of independent clusters of varying sizes is available. We propose a method for maximum likelihood estimation which is an alternative to direct numerical maximization of the likelihood that sometimes exhibits non-convergence problems. We describe an algorithm for generating samples from the exchangeable multivariate Farlie-Gumbel-Morgenstern distribution with any marginals, using the structural properties of the distribution. Finally, we present the results of a simulation study designed to assess the properties of the maximum likelihood estimators, and we illustrate the use of the FGM distributions with the analysis of a small data set from a developmental toxicity study.

With permission of Elsevier