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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

Nonprofit firms sometimes engage in for-profit activities for the purpose of generating revenue to subsidize their mission activities. The organization is then confronted with a consumption versus investment trade-off, where investment corresponds to providing capacity for revenue customers, and consumption corresponds to serving mission customers. Exemplary of this approach are the Aravind Eye Hospitals in India, where profitable paying hospitals are used to subsidize care at free hospitals. We model this problem as a multiperiod stochastic dynamic program. In each period, the organization must decide how much of the current assets should be invested in revenue-customer service capacity, and at what price the service should be sold. We provide sufficient conditions under which the optimal capacity and pricing decisions are of threshold type. Similar results are derived when the selling price is fixed, but the banking of assets from one period to the next is allowed. We compare the performance of the optimal threshold policy with heuristics that may be more appealing to managers of nonprofit organizations, and we assess the value of banking and of dynamic pricing through numerical experiments.

© 2009 INFORMS

Companies from industrialized nations have faced with the threat of competition from low-cost countries. We suggest Industrial Product Service Systems (IPS²) as a possible answer. Our article has two main aims. We establish a framework for designing an initial IPS² which meets current customer and market requirements. Building on this, we broaden our focus to include requirements induced by subsequent changes. We propose a combination of the Net Present Value Approach and the Real Options Approach as a means of determining the quantified value of an IPS² for an individual customer over its life cycle.

With permission of Elsevier

This three-part case-study illustrates key concepts and lessons about leading adaptive change in organizations in the context of turning around Deutsche Telekom, one of the world's largest telecommunication companies. The case portrays some of the efforts undertaken by Deutsche Telekom under the leadership of René Obermann after his ascent to the CEO position in that organization. The case illustrates the challenges associated with resistance to adaptive change, management of expectations of organizational members from their leaders, and the psychological challenges of leading necessary, but unpopular, change efforts under the conditions of pressure from organizational stakeholders, who consciously or unconsciously attempt to divert the change-oriented leader from pushing the organization forward. The case serves as fruitful ground for exploration of the theory of adaptive change as put forward by Heifetz & Linsky (2002), Heifetz, Grashow, & Linsky (2009a, 2009b), discussion of the dangers of leading (Heifetz & Linsky, 2002), and psychological challenges of leading (Kets de Vries, Korotov, & Florent-Treacy, 2007).

This three-part case-study illustrates key concepts and lessons about leading adaptive change in organizations in the context of turning around Deutsche Telekom, one of the world's largest telecommunication companies. The case portrays some of the efforts undertaken by Deutsche Telekom under the leadership of René Obermann after his ascent to the CEO position in that organization. The case illustrates the challenges associated with resistance to adaptive change, management of expectations of organizational members from their leaders, and the psychological challenges of leading necessary, but unpopular, change efforts under the conditions of pressure from organizational stakeholders, who consciously or unconsciously attempt to divert the change-oriented leader from pushing the organization forward. The case serves as fruitful ground for exploration of the theory of adaptive change as put forward by Heifetz & Linsky (2002), Heifetz, Grashow, & Linsky (2009a, 2009b), discussion of the dangers of leading (Heifetz & Linsky, 2002), and psychological challenges of leading (Kets de Vries, Korotov, & Florent-Treacy, 2007).

This three-part case-study illustrates key concepts and lessons about leading adaptive change in organizations in the context of turning around Deutsche Telekom, one of the world's largest telecommunication companies. The case portrays some of the efforts undertaken by Deutsche Telekom under the leadership of René Obermann after his ascent to the CEO position in that organization. The case illustrates the challenges associated with resistance to adaptive change, management of expectations of organizational members from their leaders, and the psychological challenges of leading necessary, but unpopular, change efforts under the conditions of pressure from organizational stakeholders, who consciously or unconsciously attempt to divert the change-oriented leader from pushing the organization forward. The case serves as fruitful ground for exploration of the theory of adaptive change as put forward by Heifetz & Linsky (2002), Heifetz, Grashow, & Linsky (2009a, 2009b), discussion of the dangers of leading (Heifetz & Linsky, 2002), and psychological challenges of leading (Kets de Vries, Korotov, & Florent-Treacy, 2007).