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This chapter examines the main methodological issues involved in the comprehension of the cost structure of the airport industry and suggests considerations for future airport cost analyses. Such understanding has become a crucial concern for policy makers, regional planners, and managers in order to deal with optimal market design (e.g., regulation and market configuration) and airport strategies (e.g., pricing, investments, and alliances). An in-depth analysis of the economics of cost functions is presented, together with a description of the relevant multi-output cost economies measures (average incremental costs, scale and scope economies, and cost complementarities). We also discuss the assumptions underlying estimates of total versus variable cost functions and the importance of estimating a sufficiently flexible functional form. Moreover, we provide a critical survey of the international empirical literature on the cost structure of the airport industry, which highlights how econometric estimates strongly depend on the sample choice and the empirical model considered. Indeed, while econometric studies on international samples based on long-run cost function estimates show that long-run scale economies are never exhausted, single country studies mostly estimate variable cost functions and find lower values for scale economies at median sample points that tend to decrease with size. We discuss why we believe that studies based on the estimation of short-run variable cost functions offer more reliable results, given the reasonable assumption of airport overcapitalization in the short run. We conclude our work by noting that underlying policy issues related to planning and regulation, as well as to the optimal market structure of the airport sector, need to take into account the role played by vertical relationships between airports and airlines.

This paper develops an argument about how contentious changes unfold in organizational fields, focusing on the role of uncertainty – and the networks people use to address uncertainty. We propose that as controversial practice gains traction and spreads, the nature of uncertainty facing organizational decision makers also evolves. This dynamic has important implications for how different actors and networks can influence change. We illustrate our argument with a mixed-methods case study on the diffusion of domestic partner benefits across US Fortune 500 companies. Our findings shed light on how – and when – social activists, corporate elites, and middle managers can influence the corporate decision-making process.

Certain elements of Hayek’s work are prominent precursors to the modern field of complex adaptive systems, including his ideas on spontaneous order, his focus on market processes, his contrast between designing and gardening, and his own framing of complex systems. Conceptually, he was well ahead of his time, prescient in his formulation of novel ways to think about economies and societies. Technically, the fact that he did not mathematically formalize most of the notions he developed makes his insights hard to incorporate unambiguously into models. However, because so much of his work is divorced from the simplistic models proffered by early mathematical economics, it stands as fertile ground for complex systems researchers today. I suggest that Austrian economists can create a progressive research program by building models of these Hayekian ideas, and thereby gain traction within the economics profession. Instead of mathematical models the suite of techniques and tools known as agent-based computing seems particularly well-suited to addressing traditional Austrian topics like money, business cycles, coordination, market processes, and so on, while staying faithful to the methodological individualism and bottom-up perspective that underpin the entire school of thought.

The growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility – if only the model outputs are interpretable enough to earn the trust of consumers and buy-in from companies. To build a foundation for understanding the importance of model interpretation in image analytics, the first section of this article reviews the existing work along three dimensions: the data type (image data vs. video data), model structure (feature-level vs. pixel-level), and primary application (to increase company profits vs. to maximize consumer utility). The second section discusses how the “black box” of pixel-level models leads to legal and ethical problems, but interpretability can be improved with eXplainable Artificial Intelligence (XAI) methods. We classify and review XAI methods based on transparency, the scope of interpretability (global vs. local), and model specificity (model-specific vs. model-agnostic); in marketing research, transparent, local, and model-agnostic methods are most common. The third section proposes three promising future research directions related to model interpretability: the economic value of augmented reality in 3D product tracking and visualization, field experiments to compare human judgments with the outputs of machine vision systems, and XAI methods to test strategies for mitigating algorithmic bias.

As numerous scholars have noted, the law takes a strikingly incoherent approach to adolescent reproduction. States overwhelmingly allow a teenage girl to independently consent to pregnancy care and medical treatment for her child, and even to give up her child for adoption, all without notice to her parents, but require parental notice or consent for abortion. This chapter argues that this oft-noted contradiction in the law on teenage reproductive decision-making is in fact not as contradictory as it first appears. A closer look at the law’s apparently conflicting approaches to teenage abortion and teenage childbirth exposes common ground that scholars have overlooked. The chapter compares the full spectrum of minors’ reproductive rights and unmasks deep similarities in the law on adolescent reproduction – in particular an undercurrent of desire to punish (female) teenage sexuality, whether pregnant girls choose abortion or childbirth. It demonstrates that in practice, the law undermines adolescents’ reproductive rights, whichever path of pregnancy resolution they choose. At the same time that the law thwarts adolescents’ access to abortion care, it also fails to protect adolescents’ rights as parents. The analysis shows that these two superficially conflicting sets of rules in fact work in tandem to enforce a traditional gender script – that self-sacrificing mothers should give birth and give up their infants to better circumstances, no matter the emotional costs to themselves. This chapter also suggests novel policy solutions to the difficulties posed by adolescent reproduction by urging reforms that look to third parties other than parents or the State to better support adolescent decision-making relating to pregnancy and parenting.

Global entrepreneurship may be defined to be the creation of new, value-adding transactions or transaction streams anywhere on the globe. The objective of this chapter is to present and examine a theory of global entrepreneurship. At the World Economic Forum held in Davos, Switzerland, in January 1999, UN Secretary General Kofi Annan called for global entrepreneurship to meet the needs of the disadvantaged and the requirements of future generations. This chapter first presents a transaction cognition theory of global entrepreneurship that is intended as a path for research that responds to this call. Second, this chapter examines the theory from three critical viewpoints: (1) capability for explanation; (2) theoretical and operational utility; and (3) verifiability through the logic of scientific inference, and presents likely propositions that are surfaced by the analysis. Finally in this chapter, some of the likely implications of this theory within the context of globalization are discussed.

This piece takes issue with the deployment of Trotsky’s idea of uneven and combined development (UCD) in the Anglophone discipline of International Relations (IR). It argues that this strand of thought makes a theory out of what is really a theorem (a deduction from an axiom), whilst forgetting about the original, actual theory of which it was part, Leon Trotsky’s theory of permanent revolution. IR U&CD, marketed in the discipline as International Historical Sociology (IHS), posits ‘the international’ as the field to which ‘the theory’ must be applied in order to open it up to social theorisation. This is analogous to the late-19th-century subjective turn in social science in which reality is presented as unfathomable, and rationality is merely subjective, an attribute of individual ‘actors’. ‘The international’ in this sense may be compared to ‘the market’ in neoclassical economics. Although it presents itself as Marxist, the U&CD/IHS project was part of a regressive conjuncture in Anglo-American, mainstream IR, as transpires from its attempt to position itself close to the ‘English School’ in IR. I conclude with a variation on Trotsky’s original theory, applying it to the ‘permanent counterrevolution’, of which the current war on terror is the latest stage.