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Laboratory studies of social interaction have revealed a wide range of phenomena that are difficult to explain using standard economic models. For example, people will often sacrifice their own earnings in order to be generous, cooperative, punitive, and retributive in interactions with anonymous strangers. “Behavioral” models that redefine agents’ preferences attempt to provide an account of these phenomena as reflecting a “taste for fairness” or altruism, aversion to inequality, concern about others’ beliefs, and so on. Such models either fail to account for the rich sensitivity of actions to context or in allowing for rich context-dependence, these models ultimately substitute description for explanation. Hayek’s work provides a foundation for thinking about how to explain these phenomena, by conceiving of people as both purpose-seeking (as in economic models) and rule-following. Decisions are shaped both by material interests and by a normative framework that is evoked by context and helps people decide what one ought to do in a particular situation. The implication of this approach is that rather than trying to understand heterogeneity across individuals in terms of preferences, experimenters should instead try to understand heterogeneity across contexts in terms of the rules and norms that operate in the background and guide or constrain people’s purpose-seeking tendencies. What economics needs, then, is a theory of how and why these rules and norms vary with context as they do.

This chapter evaluates the effectiveness of states' research and development (R&D, used to represent creditable research expenses) tax credits. Prior studies report mixed results on the effect of state R&D tax credit incentives. Generally, such studies consider the influence of state R&D tax credits by applying the statutory income tax and R&D credit tax rates. We reexamine the effect of a state's entire tax burden instead of the statutory tax rates in moderating the effectiveness of a state's R&D tax credit incentives. After controlling for several nontax factors, such as the workplace environment, political environment, and workforce education levels in a regression analysis during the 2010–2013 period in 50 states, we find that statewide private-sector R&D spending is a positive function of the R&D tax credit and this effect increases with the overall level of the state tax burden. We attribute this finding to the fact that high tax burdens increase the present value of the R&D tax credits.

Global Account Management (GAM) is not a recent phenomenon. Xerox first appointed global account managers in 1988 and Citicorp has a history of using GAM processes that go back over twenty‐five years. What is new is that GAM has emerged as one of the major strategic issues facing multinational companies operating markets that are thinking globally. As a consequence GAM has stimulated growing interest among academics and a flurry of experiential articles in practitioner journals and “How we did it” presentations at conferences. Over the past few years a number of major research initiatives have produced papers that attempted to build upon the rather fragmented outputs addressing GAM related issues that began to emerge during the middle of the 1990s. Three of the recent studies of particular interest are: The SRT/SAMA Global Account Management Study; The GAM Contingency Model; and The St.Gallen GAM Study. Even though each has provided valuable insights into the GAM process the new conceptual model provided in this paper is the first attempt to integrate all of the individual findings. A number of propositions are offered in an attempt to stimulate research in the area.

Magnetic polarizability tensors (MPTs) provide an economical characterisation of conducting magnetic metallic objects and their spectral signature can aid in the solution of metal detection inverse problems, such as scrap metal sorting, searching for unexploded ordnance in areas of former conflict and security screening at event venues and transport hubs. In this work, the authors aim to discuss methods for efficiently building large dictionaries for classification approaches.

Previous work has established explicit formulae for MPT coefficients, underpinned by a rigorous mathematical theory. To assist with the efficient computation of MPTs at differing parameters and objects of interest, this work applies new observations about the way the MPT coefficients can be computed. Furthermore, the authors discuss discretisation strategies for hp-finite elements on meshes of unstructured tetrahedra combined with prismatic boundary layer elements for resolving thin skin depths and using an adaptive proper orthogonal decomposition (POD) reduced-order modelling methodology to accelerate computations for varying parameters.

The success of the proposed methodologies is demonstrated using a series of examples. A significant reduction in computational effort is observed across all examples. The authors identify and recommend a simple discretisation strategy and improved accuracy is obtained using adaptive POD.

The authors present novel computations, timings and error certificates of MPT characterisations of realistic objects made of magnetic materials. A novel postprocessing implementation is introduced and an adaptive POD algorithm is demonstrated.

Over 2 million individuals are incarcerated in the US criminal justice system. More than half of incarcerated Americans are also parents of minors. Parental incarceration can lead to a higher risk of mental illness and enduring trauma in children, as well as other problematic cognitive, developmental, and educational outcomes. Examining parental incarceration through a racial equity lens is critical, as people of color make up 67% of the incarcerated population despite making up only 37% of the US population. Further, gender-related equity issues pose important challenges for families with incarcerated parents. Here, we discuss prison-based psychosocial interventions designed both to build parenting skills and to improve parent well-being within a racial and gender equity lens. We hypothesize that effective services in these areas are essential components in a broad strategy designed to mitigate the potential negative effects suffered by families and children of incarcerated parents of color as a result of their imprisonment.

This chapter reflects upon the trajectory of research in the geography of tourism in Spain. It begins with a review, including the evolution of the main topics present in the subdiscipline, with a special focus on developments since the 1990s. This is followed by an analysis of the current role and potential impact of academic tourism geography and a discussion on the recent growth in the publication of research results in international journals. Of importance are the institutional factors that explain the increasing recognition of research on the geography of tourism in Spain. Finally, the chapter discusses the hegemony of positivist approaches pivoting on land use, local and regional development, impact analysis, and landscape transformation, as well as the emerging links between Spanish tourism geography and the international mainstream schools of thought.