Long-term planning in the U.S.S.R.

This article illustrates the U.S.S.R. approach to long-term planning and the relationship of cooperative planning within the Comecon countries. The conception of planning which the author puts forward is comprehensive and is illustrative of what is being attempted at the macro level in the centrally planned economies.     

Mitigating the U.S. Drug Shortages Through Pareto‐Improving Contracts

Drug shortages have been a major challenge facing the US pharmaceutical industry and government in recent years. Although the problem has drawn tremendous attention from the government and media, limited academic research has been devoted to this problem, and few solutions have been proposed based on rigorous research. This study addresses the drug shortage problem from a supply chain perspective, a key aspect missing in the literature, and proposes to mitigate shortages through drug purchase contracts. By modeling the drug supply chain, we capture the objectives of various supply chain parties, and investigate Pareto‐improving contracts that mitigate drug shortages, improve drug manufacturer's and group purchasing organization (GPO)'s profits, and cut government spending and healthcare providers’ costs. We explore structural properties of key supply chain decisions and the Pareto‐improving contracts, and conduct scenario analysis with realistic industry data to evaluate shortage mitigation solutions. Our analysis shows that increasing drug prices only, a solution advocated by many, is not very effective in shortage mitigation. Price increases must be paired with strengthened failure‐to‐supply clauses (called the IPS approach) to achieve consistent and significant shortage reduction as well as Pareto improvement. Across all scenarios tested, a 30% price increase under IPS can lead to a minimum, average, and maximum shortage reduction of 25%, 53%, and 70%, respectively. Our analysis also shows the impacts of IPS on different parties in the supply chain and the impacts of various model parameters on shortage mitigation. The IPS approach rewards reliability of drug supply, which is in line with the FDA's strategic plan to reward quality, but is easier to achieve in this regulation‐based industry. Interactions with the government and industry practitioners indicate that IPS also challenges the current mindset in pharmaceutical contracting.     

Effects of the Canada-U.S. Trade Agreement on U.S. agricultural exports

This paper investigates the effects of the Canada-U.S. Trade Agreement (CUSTA) on U.S. exports of agricultural products. Econometric analysis found that CUSTA has had a large impact on many U.S. agricultural export categories. All of the consumer-oriented products (except wine and beer), five of the intermediate products, and four of the bulk products had significant CUSTA effects. It is clear that the CUSTA effects have been larger for consumer-oriented food products. There is also evidence that U.S. affiliate sales in Canada have stimulated U.S. exports of consumer-oriented products and intermediate products.     

Quantile Regression under Misspecification,with an Application to the U.S. Wage Structure

Quantile regression (QR) fits a linear model for conditional quantiles just as ordinary least squares (OLS) fits a linear model for conditional means. An attractive feature of OLS is that it gives the minimum mean‐squared error linear approximation to the conditional expectation function even when the linear model is misspecified. Empirical research using quantile regression with discrete covariates suggests that QR may have a similar property, but the exact nature of the linear approximation has remained elusive. In this paper, we show that QR minimizes a weighted mean‐squared error loss function for specification error. The weighting function is an average density of the dependent variable near the true conditional quantile. The weighted least squares interpretation of QR is used to derive an omitted variables bias formula and a partial quantile regression concept, similar to the relationship between partial regression and OLS. We also present asymptotic theory for the QR process under misspecification of the conditional quantile function. The approximation properties of QR are illustrated using wage data from the U.S. census. These results point to major changes in inequality from 1990 to 2000.     

Managing Safety‐Related Disruptions: Evidence from the U.S. Nuclear Power Industry

Low‐probability, high‐impact events are difficult to manage. Firms may underinvest in risk assessments for low‐probability, high‐impact events because it is not easy to link the direct and indirect benefits of doing so. Scholarly research on the effectiveness of programs aimed at reducing such events faces the same challenge. In this article, we draw on comprehensive industry‐wide data from the U.S. nuclear power industry to explore the impact of conducting probabilistic risk assessment (PRA) on preventing safety‐related disruptions. We examine this using data from over 25,000 monthly event reports across 101 U.S. nuclear reactors from 1985 to 1998. Using Poisson fixed effects models with time trends, we find that the number of safety‐related disruptions reduced between 8% and 27% per month in periods after operators submitted their PRA in response to the Nuclear Regulatory Commission's Generic Letter 88‐20, which required all operators to conduct a PRA. One possible mechanism for this is that the adoption of PRA may have increased learning rates, lowering the rate of recurring events by 42%. We find that operators that completed their PRA before Generic Letter 88‐20 continued to experience safety improvements during 1990–1995. This suggests that revisiting PRA or conducting it again can be beneficial. Our results suggest that even in a highly safety‐conscious industry as nuclear utilities, a more formal approach to quantifying risk has its benefits.     

Structuring Supplier Involvement in New Product Development: A China–U.S. Study

Buying and supplying organizations rely on each other for developing better products in an efficient manner, which explains the popularity of involving suppliers in new product development (NPD). However, such involvement is not always successful, partially due to the challenges of structuring a buyer–supplier team to manage joint dependence and dependence asymmetry. This study adopts an organizational dependence view to examine how three types of intergroup structures—administrative (formalization and centralization), task (task interdependence), and physical (colocation)—influence project performance and buyer learning in NPD projects. Furthermore, adopting a contingency theory perspective, we study whether the national context moderates the effects of intergroup structures on project outcomes. We adopt a two‐group structural equation modeling approach to test hypotheses with survey responses from a sample of NPD projects in the United States (US) and China. Results show different ways in which intergroup structures influence project performance and buyer learning in the two culturally, economically, and institutionally distinct countries. We discuss the implications of these new findings and present directions for future research.     

Environmental scanning in U.S. corporations.

Environmental scanning is a new activity among corporations, because of its importance, corporations need to progress by stages to achieve a structured and formal system of scanning, and this takes time. This paper is based on a study examining the evolution and state of environmental scanning among corporations, and finds that the essential difference between scanning at the corporate and at the product/market level is not observed by all companies. Ideally, there should be a close liaison between the two levels so that each may reinforce the scanning effort of the other.     

The Impact of Mega‐Catastrophes on Insurers: An Exposure‐Based Analysis of the U.S. Homeowners’ Insurance Market

Insurance is a key risk‐sharing mechanism that protects citizens and governments from the losses caused by natural catastrophes. Given the increase in the frequency and intensity of natural catastrophes over recent years, this article analyzes the performance effects of mega‐catastrophes for U.S. insurance firms using a measure of market expectations. Specifically, we analyze the share price losses of insurance firms in response to catastrophe events to ascertain whether mega‐catastrophes significantly damage the performance of insurers and whether different types of mega‐catastrophes have different impacts. The main message from our analysis is that the impact of mega‐catastrophes on insurers has not been too damaging. While the exact impact of catastrophes depends on the nature of the event and the degree of competition within the relevant insurance market (less competition allows insurers to recoup catastrophe losses through adjustments to premiums), our overall results suggest that U.S. insurance firms can adequately manage the risks and costs of mega‐catastrophes. From a public policy perspective, our results show that insurance provides a robust means of sharing catastrophe losses to help reduce the financial consequences of a catastrophe event.     

The disassembly line: balancing and modeling,by S.M. McGovern and S.M. Gupta

This note addresses a problem faced by an actual firm. The problem is to decide on the optimal level of product quality. In performing the economic analysis to determine product quality level, the firm considers revenue, production costs, and research and development costs. However, this note shows that ignoring inventory costs in the analysis will lead to suboptimal product quality levels. Also, including inventory costs in the analysis will lead to reduced production lot sizes. Numerical examples are used to illustrate the results of the model.     

The Courage Factor: Living People-Based Leadership by Geller,E. S. & Veazie,B

We adapted the Performance Diagnostic Checklist to analyze the environmental events contributing to safe and at-risk behaviors by employees in organizations. We then used the resulting tool, the Performance Diagnostic Checklist–Safety (PDC-Safety), to identify variables contributing to unsafe equipment usage by 3 members of a landscaping crew at a private university. Based on PDC-Safety results, an intervention consisting of graphic feedback was implemented. The intervention increased safe performance for all participants.     

Can Sisyphus Succeed? Getting U.S. High‐Level Nuclear Waste into a Geological Repository

The U.S. government has the obligation of managing the high‐level radioactive waste from its defense activities and also, under existing law, from civilian nuclear power generation. This obligation is not being met. The January 2012 Final Report from the Blue Ribbon Commission on America's Nuclear Future provides commendable guidance but little that is new. The author, who served on the federal Nuclear Waste Technical Review Board from 1989 to 1994 and subsequently on the Board on Radioactive Waste Management of the National Research Council from 1994 to 1999, provides a perspective both on the Commission's recommendations and a potential path toward progress in meeting the federal obligation. By analogy to Sisyphus of Greek mythology, our nation needs to find a way to roll the rock to the top of the hill and have it stay there, rather than continuing to roll back down again.     

Competitive strategies in U.S. banking

This paper discusses the planning gaps and needs of U.S. Commercial and Savings Banks which must be addressed as part of a strategic response to the new competitors in the field and the new circumstances.     

Acquiring companies in the U.S.A.

This article lists the five important characteristics for the ideal acquisition candidate for investment in the United States. A good and long-lasting relationship takes much thought, planning and patience and the authors set out practical guidelines for companies seeking to acquire U.S. companies.