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The global financial meltdown of late 2008 threatened the survival of many banks, insurance companies, automakers, and other institutions, further contributing to the economic slowdown already underway in the United States and abroad. The ensuing recession has negatively impacted on the airline industry in the United States with losses running into billions. In this chapter, we illustrate the use of data envelopment analysis (DEA), an operations research technique, to analyze the operating efficiency of the US airline industry by benchmarking a set of ratios that assess the operating efficiency of a firm against its peers. DEA clearly brings out the airline(s) that is (are) operating more efficiently in comparison to other airlines in the industry, and points out the areas that poorly performing airlines need to improve.

This paper is about how a command system allocated resources under profound uncertainty. The command system was the Soviet economy, the period was Stalin's dictatorship, and the resources were designated for military research & development. The context was formed by the limits of the existing aviation propulsion technology, the need to replace it with another, and uncertainty as to how to do so. We observe the formation of a quasi-market in which rival agents proposed projects and competed for funding to carry them out. We find rivalry and rent seeking, imperfectly regulated by principals. As rent seeking spread and uncertainty was reduced, the quasi-market was closed down and replaced by strict hierarchical allocation and monitoring. In theory, a dictator cannot commit to refrain from taxing the returns from today's effort tomorrow; therefore, we expect agents in a command system to seek only short-term returns from quasi-market activity. Agents’ willingness to invest in the Soviet quasi-market for inventions is ascribed to a reputation mechanism that enforced long-run returns.