Search results

Recent literature on nonprofit boards of directors has extensively investigated the composition, role, responsibilities, and characteristics of boards. Given the growing number of studies on nonprofit boards, which added new impulse to the debate on the role and characteristics of these players, it is time to analyze the state of the art and systematize the current knowledge. On the other hand, despite the presence of some literature reviews, a research comparing the debate among the nonprofit, private, and public sectors is still lacking. Using Gabrielsson and Huse’s (2004) framework, we wanted to identify factors that can influence research on nonprofit boards and compare our results with existing studies on private and public sector.

We conduct a systematic literature review, selecting empirical articles published in international scientific journals from 1992 to 2012.

We found similarities and differences in relation to research on boards among sectors. As a common result, we found that evolutionary studies still remains a neglected area in all of three realms. Finally, whereas input–output studies prevail in the private sector and contingency studies prevail in the public sector, behavioral studies prevail in the nonprofit sector, demonstrating, also, that the sector itself can make a difference in the board’s research.

This literature review provides some suggestion for further research on boards for all of three sectors. For example, we suggest complementing research on boards on all three sectors, especially in relation to evolutionary studies.

This paper fills the need to clarify the status of research on nonprofit boards, in order to address scholars in the understanding of the phenomenon.

This chapter analyzes a geographic quasi-experiment embedded in a cluster-randomized experiment in Honduras. In the experiment, average treatment effects of conditional cash transfers on school enrollment and child labor were large – especially in the poorest experimental blocks – and could be generalized to a policy-relevant population given the original sample selection criteria. In contrast, the geographic quasi-experiment yielded point estimates that, for two of three dependent variables, were attenuated. A judicious policy analyst without access to the experimental results might have provided misleading advice based on the magnitude of point estimates. We assessed two main explanations for the difference in point estimates, related to external and internal validity.

THE PURPOSE of this contribution is to draw attention to a new development in the field of self lubricating bearing materials. A series of moulded products has been evolved, based on carbon and embodying various additives such as polytetrafluoroethylene and molybdenum disulphide, which improve the wear resisting characteristics of the products, particularly in conditions where normal lubricants fail or are inadmissible.

This feasibility study originated from a request from a high‐quality confectionery manufacturer and retailer for research into the possibility of assessing the interaction of multiple outlets in the same town. The particular problem was that of estimating pedestrian flow patterns so that the siting of new outlets would not attract business away from existing outlets of the same company. Various methods of collecting pedestrian data were reviewed, and for reasons of cost and practicality it was decided to concentrate on tracking (105 city‐centre trips) and point‐counting methods. Time‐lapse photography was used for point counting, being the only method capable of handling the volume of pedestrians (7,267). A number of computer programs were written which allowed the photographic data to be transformed into a network flow model. A full‐scale test of the model was made using data collected by Nottingham City Council for a network of 57 links.

The purpose of this paper is to present a procedure to design an experimental setup meant to validate an innovative approach for simulating, via computational fluid dynamics, a high-pressure gas release from a rupture (e.g. on an offshore oil and gas platform). The design is based on a series of scaling exercises, some of which are anything but trivial.

The experimental setup is composed of a wind tunnel, the instrumented scaled (1:10) mock-up of an offshore platform and a gas release system. A correct scaling approach is necessary to define the reference speed in the wind tunnel and the conditions of the gas release to maintain similarity with respect to the real-size phenomena. The scaling of the wind velocity and the scaling of the gas release were inspired by the approach proposed by Hall et al. (1997): a dimensionless group was chosen to link release parameters, wind velocity and geometric scaling factor.

The theoretical scaling approaches for each different part of the setup were applied to the design of the experiment and some criticalities were identified, such as the existence of a set of case studies with some release parameters laying outside the applicability range of the developed scaling methodology, which will be further discussed.

The resulting procedure is one of a kind because it involves a multi-scaling approach because of the different aspects of the design. Literature supports for the different scaling theories but, to the best of the authors’ knowledge, fails to provide an integrated approach that considers the combined effects of scaling.

An alternative algorithm has been developed for computing the behaviour of flows within arbitrary ducts and channels. This technique requires a small number of downstream marches in the primary flow direction, employing, on each march, numerically efficient procedures originally developed for a single sweep non‐elliptic flow solver. The multiple sweeps allow the capture of effects such as upstream pressure influences and streamwise recirculation. The energy equation is also solved to allow for varying heat transfer between the fluid and the boundary walls. The numerical work is further complicated by considering flows within turning sections of ducts which demonstrate large transverse velocities and consequent distortion of the primary flow. The computations are validated by comparison with a number of fluid/heat transfer experiments. The majority of these are taken from studies of turning flows within circular arc ducts which display the various pressure and transverse flow phenomena for which this new algorithm was initially developed to represent.

In recent years, the partially averaged Navier–Stokes (PANS) methodology has earned acceptability as a viable scale-resolving bridging method of turbulence. To further enhance its capabilities, especially for simulating separated flows past bluff bodies, this paper aims to combine PANS with a non-linear eddy viscosity model (NLEVM).

The authors first extract a PANS closure model using the Shih’s quadratic eddy viscosity closure model [originally proposed for Reynolds-averaged Navier–Stokes (RANS) paradigm (Shih et al., 1993)]. Subsequently, they perform an extensive evaluation of the combination (PANS + NLEVM).

The NLEVM + PANS combination shows promising result in terms of reduction of the anisotropy tensor when the filter parameter (f_k) is reduced. Further, the influence of PANS filter parameter f on the magnitude and orientation of the non-linear part of the stress tensor is closely scrutinized. Evaluation of the NLEVM + PANS combination is subsequently performed for flow past a square cylinder at Reynolds number of 22,000. The results show that for the same level of reduction in f_k, the PANS + NLEVM methodology releases significantly more scales of motion and unsteadiness as compared to the traditional linear eddy viscosity model (LEVM) of Boussinesq (PANS + LEVM). The authors further demonstrate that with this enhanced ability the NLEVM + PANS combination shows much-improved predictions of almost all the mean quantities compared to those observed in simulations using LEVM + PANS.

Based on these results, the authors propose the NLEVM + PANS combination as a more potent methodology for reliable prediction of highly separated flow fields.

Combination of a quadratic eddy viscosity closure model with PANS framework for simulating flow past bluff bodies.

In this chapter, we examine the current research on how technology is applied to benefit students with emotional and/or behavioral disorders (EBD). First, we describe the iterative yet unpredictable nature of technological innovation to suggest that incremental successes are qualified by the creation of often unforeseen consequences. We then identify commonly used nonelectronic technologies in education to emphasize that the hoped-for advances in electronic technology have failed to deliver on their decades-old promise of educational revolution. We continue with our review of the literature on empirical studies examining how technology is used to support students with EBD. These findings indicate that the research design primarily employed in this field is single-subject. Examples of specific findings include web-based graphic organizers for student writing, virtual self-modeling for targeting student behaviors, and virtual coaching for teachers of students with EBD. We conclude by reviewing how leaders in the field of special education predict the field will change in the future. Overall, with an increased emphasis on research accessibility and practitioner-validated knowledge, and advances in neuroscience and artificial technologies, practitioners may hold a more central role to the creation and dissemination of knowledge.

Various attempts have been made to study in‐store customer behaviour, mainly using manual recording techniques. Manual recording usually involves tracking a customer round a store and tracing the customer's path on a store plan. Other behavioural features such as product handling, verbal contact with sales assistants, display viewing, can also be recorded on the store plan. The recorded data can then be collected and an overall picture of customer traffic and customer behaviour obtained. The extremely labour intensive nature of this technique makes it very time consuming and difficult to obtain a large sample size. Furthermore it is almost impossible to gain a comprehensive picture of customer behaviour throughout the whole store at any given moment or series of moments in time.