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This paper aims to provide a validation of a state‐of‐the‐art methodology for computing three‐dimensional transitional flows in turbomachinery.

The Reynolds‐averaged Navier‐Stokes equations for compressible flows are solved. Turbulence is modeled using an explicit algebraic stress model and k−ω turbulence closure. A numerical method has been developed, based on a cell‐centered finite volume approach with Roe's approximate Riemann solver and formally second‐order‐accurate MUSCL extrapolation. The method is validated versus two severe test cases, namely, the subsonic flow through a turbine cascade with separated‐flow transition; and the transonic flow through a compressor cascade with transitional boundary layers, shock‐induced separation and corner stall. For the first test case, the transition model of Mayle for separated flow has been employed, whereas, for the second one, the transition has been modeled employing the Abu‐Ghannam and Shaw correlation.

The comparison of numerical results with the experimental data available in the literature shows that, for such complex flow configurations, an improved numerical solution could be achieved by employing transition models. Unfortunately, the available models are case‐dependent, each of them being suitable for specific applications.

A state‐of‐the‐art numerical methodology has been developed and applied to compute very complex flows in turbomachinery. Through an original analysis of the results, the merits and limits of the considered approach have been assessed. The paper points up the fundamental role of transition modeling for turbomachinery flow simulations.

This paper aims to analyse the management of urban on street car parking as an example of the dilemmas of understanding and improving the performance of public management.

A conceptual paper that assesses empirical practice against different theoretical frameworks and suggests new management and policy directions.

The management of regulatory services such as urban on street car parking are little examined in the literature of public management, though the economic literature does review some aspects of parking behaviour. This paper analyses car parking as an exemplar site for empirical confirmation of the difficulties of reconciling multiple stakeholder interests when addressing a “wicked problem”. The paper further argues that public management theory can be developed from examination of such routine minutiae of day‐to‐day life.

The paper provides a fresh theoretical perspective on an every day social activity and suggests that such analysis can aid theory building for public management.

This study examines how firms’ use of competitor-focused accounting information, specifically competitor monitoring information, impacts their pricing, demand, and overall revenue performance. The monitoring activities examined are the scope of monitoring, monitoring above and below one’s own hotel class (i.e., market segment), and the extent of reciprocity of monitoring. Competitor analysis is a central element in strategic management accounting (SMA), yet little empirical research has been done since companies do not disclose competitor monitoring activities. Proving the value of competitive monitoring provides strong support for SMA. Archival, proprietary monitoring information regarding pricing, demand, and revenue were obtained from one of the largest hotel markets in the United States. Using regression, we modeled the relationships between performance measures (pricing, demand, and revenue) and monitoring behaviors, while controlling for quality (hotel characteristics and management skill), competitive intensity, hotel class, geographic location, and ownership type. Our results indicate that two aspects of competitor monitoring impact hotel pricing that, in turn, impacts hotel demand and revenue performance. Specifically, a hotel monitoring more competitors (what we refer to as Scope) achieves higher prices with unchanged demand, resulting in higher revenue performance. Most hotels monitor within their class. However, deviating from one’s class has profound outcomes: looking at lower (higher) quality hotels results in a hotel setting lower (higher) prices, resulting in higher (unchanged) demand and lower (higher) revenue performance. Surprisingly, we did not find support for the reciprocity of monitoring. That is, whether the competitors monitored by a hotel, in turn follow the target, has no impact on hotel revenue performance outcomes. While the SMA literature notes the importance of competitor monitoring, this study fills a gap in an important, under-researched area by documenting the link between competitor monitoring behaviors and organizational revenue performance. This may help promote greater diffusion of SMA practices.

This paper investigates the impact of refusal to deal by a monopoly supplier of an essential input on firms’ investments in product quality, consumer surplus, and net social welfare.

The paper uses a standard economic model of endogenous quality choice for horizontally differentiated products to compare market performance with and without refusal do deal.

Refusal to deal increases the payoff of the integrated firm and reduces equilibrium investment in quality, consumer surplus, and net social welfare if varieties are moderate or good substitutes. If varieties are poor substitutes, the integrated firm maximizes its payoff setting a wholesale price that allows the downstream rival a small economic profit.

The analysis presented here implies that it is actual rivalry in the development of high-quality substitute varieties that promotes consumer welfare, and that such rivalry is ill served by the exercise of market power in input markets and by the refusal of vertically integrated upstream firms to deal with their nonintegrated downstream rivals. Reliance on the lure of monopoly profit to get good market performance is misplaced.

This paper describes two accurate and efficient numerical methods for computing unsteady viscous flows. The first one solves the incompressible Navier‐Stokes equations in their vorticity‐velocity formulation, using a staggered‐grid finite‐volume spatial discretization to provide second‐order accuracy on arbitrary grids, and combines effectively an alternating direction implicit scheme for the vorticity transport equation and a multigrid line‐Gauss‐Seidel relaxation for the velocity equations. The second method solves the compressible Reynolds‐averaged Navier‐Stokes equations in strong conservation form, with a k−ω turbulence closure model. The equations are discretized in time using an implicit three‐time‐level scheme, combined with a dual time stepping approach, so that the residual at every physical time step is annihilated using an efficient multigrid Runge‐Kutta iteration with variable time stepping and implicit residual smoothing. The space discretization uses a Roe’s flux difference splitting for the convective terms and standard central differences for the diffusive ones. A turbulent unsteady cascade flow is used to demonstrate the accuracy and efficiency of the method. The authors are currently working towards extending the two approaches described in this paper to three space dimensions.