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This paper aims to address shortcomings of current tiltrotor designs, such as the small aspect ratio of the wings, large download and the close proximity of the rotor tips. It also aims to avoid the complex transition of tiltrotors to normal airplane mode.

This design combines tiltrotor and tiltwing aircraft designs into a hybrid that is augmented by active flow control, using a gimbaled channel wing for attitude control in hover.

The proposed hybrid design is based on experimental results of components that were tested individually for potential use in hover and steep ascend from a stationary position.

This research was inspired by the extremely short take-off of the V-22, when its rotors were tilted forward. It combines several design approaches in a unique way to achieve extremely short take-off capabilities combined with high-speed and reduced maintenance costs.

This paper reviews the use of logit and probit models in marketing and focuses on demonstrating the use of ordered probability models. This type of model is appropriate for many applications in marketing and business where the dependent variable of interest is ordinal (e.g., likert scales). A comparison between the properties of the ordinary least squares (OLS) model and ordered logit and probit models is made using consumer satisfaction data on automobiles. This comparison between the two models shows that the use of OLS for ordered categorical data gives misleading results and produces biased estimates, leading to inaccurate hypothesis testing. The paper concludes that ordered probability models, such as the ones illustrated, should be employed in marketing and business research where the dependent variable is ordinal.

The purpose of this paper is to present a study on relationships between the design of management control systems (MCS), the use of MCS and organisational learning (OL).

This study adopted a survey method. A written questionnaire was prepared and mailed out to collect quantitative data. After analysis of the empirical results, follow-up interviews were conducted to develop a deeper understanding of the empirical results.

Findings of the study show that both the design and use of MCS are significantly associated with levels of OL activities in organisations, and the use of MCS is found to be a more influential factor in OL.

This paper contributes to the accounting literature by providing empirical evidence on the relative impacts of the design and use of MCS on OL activities in organisations and the interaction between the design and use of MCS in influencing OL.

Understanding the key locational and neighbourhood determinants and their accessibility is a topic of great interest to policymakers, planners and property valuers. In Northern Ireland, the high level of market segregation means that it is problematic to understand the nature of the relationship between house prices and the accessibility to services and prominent neighbourhood landmarks and amenities. Therefore, this paper aims to quantify and measure the (dis)amenity effects on house pricing levels within particular geographic housing sub-markets.

Most hedonic models are estimated using regression techniques which produce one coefficient for the entirety of the pricing distribution, culminating in a single marginal implicit price. This paper uses a quantile regression (QR) approach that provides a “more complete” depiction of the marginal impacts for different quantiles of the price distribution using sales data obtained from 3,780 house sales transactions within the Belfast Housing market over 2014.

The findings emerging from this research demonstrate that housing and market characteristics are valued differently across the quantile values and that conditional quantiles are asymmetrical. Pertinently, the findings demonstrate that ordinary least squares (OLS) coefficient estimates have a tendency to over or under specify the marginal mean conditional pricing effects because of their inability to adequately capture and comprehend the complex spatial relationships which exist across the pricing distribution.

Numerous studies have used OLS regression to measure the impact of key housing market externalities on house prices, providing a single estimate. This paper uses a QR approach to examine the impact of local amenities on house prices across the house price distribution.

De territorialization - a concept of territory where social, economic, and political space are not necessarily geographical has developed from the radical alterations brought about by rapid globalization. For the first time in history, cultural spaces are developing that have no tangible connection to geographical places. Conventional learning structures, teaching methods, and course content make it difficult for these educational institutions to operate effectively in this climate. To prosper, they must make decisions expeditiously and the development of new programs must take place quickly, seamlessly, and continuously.

More importantly, with the changes demanded by these processes, the classroom must truly become a global entity. In this paper, an argument is proposed that though the forces of globalization have radically changed our conception and use of space, its material manifestation is as important now more then ever to those training to be architects and designers. However, the old lecture hall and studio configuration must make way for a new type of reflexive space that allows disciplinary boundaries to become blurred and more flexible.

If this occurs, universities might again become bastions of critical thought illustrating possible types of alternative spaces and temporalities within our personal and communal lives. By cultivating spaces built on the imperatives of diversity and simultaneity, the monistic onslaught of the global network culture could be translated into a multitude of spaces and temporalities that add richness to the necessary social, political, and cultural aspects of our lives. Within architectural discourse, this call is doubly important because this type of individual will most affect the virtual/material interfaces that are become increasingly common as the effects of economic and technological transformations are felt on a global scale.

Based on literature development, the purpose of this paper is to propose a conceptual framework and the theoretical model in order to examine the influence of leadership, organizational learning (OL), and organizational innovation (OI) in Taiwan’s financial and information technology industries.

Structural equation modeling is employed to evaluate the degree of influence each variable has on the others and whether their relationships differ in different industry. This study investigates a selection of firms from the top 100 financial and the top 1,000 high-technology enterprises in Taiwan in 2012 as the population. A total of 377 valid responses were collected from 2012 to 2013.

The research results indicate that OL acts as a full mediator between leadership and OI. Furthermore, industry type has moderating effect in the proposed research model.

Thus, considering appropriate leadership styles through learning to innovate might be a well leadership model to be further considered by different industries in the global countries.

This introductory essay attempts to illustrate the emancipatory intent of organizational learning (OL) by connecting its aims and aspirations to prominent themes of critical organization study, including the emancipatory understanding of “learning” by OL, how OL engages the “dialectic of enlightenment,” and its prioritizing of “communicative action” as the means for reflection and transformation.

An unspoken issue of increasing priority in architectural education is the under developed differentiation between architecture and technology. Almost all of the qualifications whereby an architect is prepared for and is permitted to practice professionally are technological parameters. But architecture is not technology. Architecture is, however, both protected by and obscured thru technology being in the forefront that means it is both of benefit and a hindrance.

Architecture being undifferentiated from technology and named in terms of technology thus allows the issue to stay safely within the pragmatic assertion of professionalism that is set up during an education mainly controlled by the profession. Within that is a nascent architectural impulse that resides largely unspoken but which is nonetheless evolved and evolving and shared. The unrevealed architecture generates an aura of the mysterious and the radical which that contributes a greatly to the intensity of mundane and well known work.

This paper examines how architectural technology obviates a space of differentiation within architecture, which may be examined phenomenologically in terms of the essence of humanity, whereby architecture has an original ontological correlation with human aspiration. This will be supported with the well known — for brevity — theoretical and practical examples around the work of Heidegger, Louis I. Kahn. Along with phenomenology, we will introduce philosophies of spiritual practice collectively called rajayoga. The latter is a millennia long experiment with well documented research into human aspiration. The paper concludes with examples of architecture presencing this space of differentiation and suggests the implications on the profession of an education that scan develop the super-ordinate program that is architectural practice.

Neural Network (NN) simulation models are being increasingly utilised in the business and management fields as forecasting, pattern recognition and classification tools. Their growing popularity appears to emanate from the ability of NNs to approximate complex non‐linear relationships, via their capacity to represent latent combinations of unobservable variables in hidden layers. Although there is a growing business literature on the ability of NNs to predict various corporate outcomes (e.g., corporate failure), and to forecast time series data (e.g., share prices), they have yet to be fully evaluated by business academics on cross‐sectional data. This paper provides an overview of the NN modelling approach and compares the performance of NNs, relative to conventional OLS regression analysis, in predicting the cross‐sectional variation in corporate audit fees. The empirical results suggest that the NN models exhibit superior forecasting accuracy to their OLS counterparts, but that this differential reduces when the models are tested out‐of‐sample.