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This paper aims to present a computational aeroelastic capability based on a fluid–structure interaction (FSI) methodology and validate it using the NASA Common Research Model (CRM). Focus is placed on the effect of the wind tunnel model structural features on the static aeroelastic deformations.

The FSI methodology couples high-fidelity computational fluid dynamics to a simplified beam representation of the finite element model. Beam models of the detailed CRM wind tunnel model and a simplified CRM model are generated. The correlation between the numerical simulations and wind tunnel data for varying angles of attack is analysed and the influence of the model structure on the static aeroelastic deformation and aerodynamics is studied.

The FSI results follow closely the general trend of the experimental data, showing the importance of considering structural model deformations in the aerodynamic simulations. A thorough examination of the results reveals that it is not unequivocal that the fine details of the structural model are important in the aeroelastic predictions.

The influence of some changes in structural deformation on transonic wing aerodynamics appears to be complex and non-linear in nature and should be subject to further investigations.

It is shown that the use of a beam model in the FSI approach provides a reliable alternative to the more costly coupling with the full FE model. It also highlights the non-necessity to develop precise, detailed structural models for accurate FSI simulations.

Purpose – Service-dominant logic (S-D logic) has conceptualized value as value-in-context where context is defined as a “set of unique actors with unique reciprocal links among them” (Chandler & Vargo, 2011, p. 40). The chapter proposes a means of measuring value-in-context as experienced by an actor while integrating resources, called the ValConRIA model (value-in-context of resource integrating activities).Design/methodology/approach – Value emerges from experiencing interactions in a service-for-service exchange. The actor perceives value as emerging with his activities and hence experiences the emerging value as connected to either his activities or the items supporting his activities or the people he is interacting with. We call these realms of experience the I (–Me) realm, the I–It and It–I realm, and the I–You and You–I realm, composing five dimensions. An exploratory principal component analysis supports this structure. The measurement process has been tested for reliability and validity and applied to different activities: using a laptop, using cigarettes (=smoking), using a smartphone, and using Facebook.Findings – According to where the actor mostly experiences the value emergence, five dimensions of value-in-context have been identified using principal component analysis. The measurement scale shows high construct reliability and discriminant validity.Implications – Being able to measure value-in-context as proposed by S-D logic brings S-D logic into practice. Practitioners can use the measurement process to identify value their customers co-create. The proposed means of measuring value-in-context does not measure the value of things but instead values as it emerges from an actor’s activities, exchanging service for service.Value/originality – To our knowledge this chapter is the first to propose a means of measuring value-in-context, which is based on S-D logic.

This chapter introduces a model of efficiency-wage competition along the lines put forward by Hahn (1987). Specifically, I analyze a two-firm economy in which employers screen their workforce by means of increasing wage offers competing one another for high-quality employees. The main results are the following. First, using a specification of effort such that the problem of firms is well-behaved, optimal wage offers are strategic complements. Second, the symmetric Nash equilibrium can be locally stable under the assumption that firms adjust their wage offers in the direction of increasing profits by conjecturing that any wage offer above (below) equilibrium will lead competitors to underbid (overbid) such an offer. Finally, the exploration of possible labor market equilibria reveals that effort is counter-cyclical.