880 resultados para benchmarking hotels


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Benchmarking techniques have evolved over the years since Xerox’s pioneering visits to Japan in the late 1970s. The focus of benchmarking has also shifted during this period. By tracing in detail the evolution of benchmarking in one specific area of business activity, supply and distribution management, as seen by the participants in that evolution, creates a picture of a movement from single function, cost-focused, competitive benchmarking, through cross-functional, cross-sectoral, value-oriented benchmarking to process benchmarking. As process efficiency and effectiveness become the primary foci of benchmarking activities, the measurement parameters used to benchmark performance converge with the factors used in business process modelling. The possibility is therefore emerging of modelling business processes and then feeding the models with actual data from benchmarking exercises. This would overcome the most common criticism of benchmarking, namely that it intrinsically lacks the ability to move beyond current best practice. In fact the combined power of modelling and benchmarking may prove to be the basic building block of informed business process re-engineering.

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Benchmarking exercises have become increasingly popular within the sphere of regional policy making. However, most exercises are restricted to comparing regions within a particular continental bloc or nation.This article introduces the World Knowledge Competitiveness Index (WKCI), which is one of the very few benchmarking exercises established to compare regions across continents.The article discusses the formulation of the WKCI and analyzes the results of the most recent editions.The results suggest that there are significant variations in the knowledge-based regional economic development models at work across the globe. Further analysis also indicates that Silicon Valley, as the highest ranked WKCI region, holds a unique economic position among the globe’s leading regions. However, significant changes in the sources of regional competitiveness are evolving as a result of the emergence of new regional hot spots in Asia. It is concluded that benchmarking is imperative to the learning process of regional policy making.

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This thesis examines the possibility of privatising public owned five star hotels in Egypt through its stock market in order to give a boost to the Egyptian privatisation programme and to help activate its stock market. To explore these aspects, two main technical exercises were executed. First the writer constructed, for the first time in Egypt, a daily price index for Cairo Stock Exchange and an index for the tourism sector, in order to analyze the efficiency of the capital market. This technical analysis showed that Cairo stock exchange is inefficient, stagnant and undergoes minimal fluctuations, especially when compared to other developed and emerging markets. Second, given the importance and complexity of the valuation of SOEs prior to their privatisation, a sample of three five star hotels that could be prime candidates for privatisation via the stock market in Egypt were selected and a detailed financial analysis for the three hotels was concluded. The result was a valuation range for the three hotels using various valuation methods. Nevertheless it was found out that the final value of hotels will be determined by the market itself. Depite the inefficiency of Cairo Stock Exchange, the thesis did not rule out privatisation through the stock market. On the contrary it cited several examples of developing countries that were able to successfully privatise some of their SOEs via their rudimentary capital markets. Finally, the thesis recommended that five star hotels could be pefect candidates for privatisation via the stock market in Egypt. This is because five star hotels are profitable, privately managed, non strategic and not highly capital intensive businesses. In addition, they do not suffer from overstaffing and the industry in which they operate i.e. tourism sector, has high growth prospects and is of an international nature. Therefore it is anticipated that privatisation of five star hotels can attract a lot of investors because of the relatively high returns. This in turn will help activate and popularize the capital market in Egypt. At the same time the benefits of privatisation would be more visible which will give more momentum to the privatisation programme and make it more politically acceptable.

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Evaluation and benchmarking in content-based image retrieval has always been a somewhat neglected research area, making it difficult to judge the efficacy of many presented approaches. In this paper we investigate the issue of benchmarking for colour-based image retrieval systems, which enable users to retrieve images from a database based on lowlevel colour content alone. We argue that current image retrieval evaluation methods are not suited to benchmarking colour-based image retrieval systems, due in main to not allowing users to reflect upon the suitability of retrieved images within the context of a creative project and their reliance on highly subjective ground-truths. As a solution to these issues, the research presented here introduces the Mosaic Test for evaluating colour-based image retrieval systems, in which test-users are asked to create an image mosaic of a predetermined target image, using the colour-based image retrieval system that is being evaluated. We report on our findings from a user study which suggests that the Mosaic Test overcomes the major drawbacks associated with existing image retrieval evaluation methods, by enabling users to reflect upon image selections and automatically measuring image relevance in a way that correlates with the perception of many human assessors. We therefore propose that the Mosaic Test be adopted as a standardised benchmark for evaluating and comparing colour-based image retrieval systems.

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China is unique both politically and economically. How this uniqueness impacts on firms'' adoption of market orientation and the impact of market orientation on business performance, however, remain unclear. This book reports a study by Dr Riliang Qu who aims to address the above knowledge void. The study employs a two-stage research strategy including interviews and a survey of 1000 hotels and travel services. The study found that government regulations restricting the firm rivalry and the shortage of competent managerial talents are among the most serious constraints to the firms'' development of market orientation along with such factors as inadequacy of government regulation on product quality and consumer protection. The findings suggest that in transitional like China, government actions could be a major force behind firms'' aspiration of being market-oriented. The study also found that the benefits of market orientation are multi-fold in that it not only improves company''s business performance but also has positive effects on customer satisfaction/retention, power in distribution channel, and corporate social responsibility.

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The worldwide growth of the translation industry requires qualified professional translators. During the last decade, we have seen an enormous increase in translator training programmes offered by universities, mainly at postgraduate level. A challenge for such university programmes is to make sure that they prepare graduates who are qualified for the needs of the diverse profession in the rapidly changing market. This means that programmes need to be developed with the market needs in mind and that they need to ensure a good match between graduates' competences and employers' requirements. This paper addresses the following questions: How can universities adapt translator training programmes to the rapidly changing industry and the accompanying changes in professional profiles? How can we reconcile the requests of the industry for graduates who have practical and professional skills with the requests of the universities for graduates who have in-depth academic knowledge and intellectual skills? What standards and benchmarks are in place to assure quality of translator training programmes? Some such developments in respect of benchmarking are illustrated at first for the United Kingdom, followed by information on the European Master’s in Translation (EMT) project, an initiative at the European level. Finally, the paper reflects on the challenges which the EMT translator competence profile poses for university programmes.

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The main purpose of this dissertation is to assess the relation between municipal benchmarking and organisational learning with a specific emphasis on benchlearning and performance within municipalities and between groups of municipalities in the building and housing sector in the Netherlands. The first and main conclusion is that this relation exists, but that the relative success of different approaches to dimensions of change and organisational learning are a key explanatory factor for differences in the success of benchlearning. Seven other important conclusions could be derived from the empirical research. First, a combination of interpretative approaches at the group level with a mixture of hierarchical and network strategies, positively influences benchlearning. Second, interaction among professionals at the inter-organisational level strengthens benchlearning. Third, stimulating supporting factors can be seen as a more important strategy to strengthen benchlearning than pulling down barriers. Fourth, in order to facilitate benchlearning, intrinsic motivation and communication skills matter, and are supported by a high level of cooperation (i.e., team work), a flat organisational structure and interactions between individuals. Fifth, benchlearning is facilitated by a strategy that is based on a balanced use of episodic (emergent) and systemic (deliberate) forms of power. Sixth, high levels of benchlearning will be facilitated by an analyser or prospector strategic stance. Prospectors and analysers reach a different learning outcome than defenders and reactors. Whereas analysers and prospectors are willing to change policies when it is perceived as necessary, the strategic stances of defenders and reactors result in narrow process improvements (i.e., single-loop learning). Seventh, performance improvement is influenced by functional perceptions towards performance, and these perceptions ultimately influence the elements adopted. This research shows that efforts aimed at benchlearning and ultimately improved service delivery, should be directed to a multi-level and multi-dimensional approach addressing the context, content and process of dimensions of change and organisational learning.

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Purpose: The purpose of this paper is to focus on investigating and benchmarking green operations initiatives in the automotive industry documented in the environmental reports of selected companies. The investigation roadmaps the main environmental initiatives taken by the world's three major car manufacturers and benchmarks them against each other. The categorisation of green operations initiatives that is provided in the paper can also help companies in other sectors to evaluate their green practices. Design/methodology/approach: The first part of the paper is based on existing literature on the topic of green and sustainable operations and the "unsustainable" context of automotive production. The second part relates to the roadmap and benchmarking of green operations initiatives based on an analysis of secondary data from the automotive industry. Findings: The findings show that the world's three major car manufacturers are pursuing various environmental initiatives involving the following green operations practices: green buildings, eco-design, green supply chains, green manufacturing, reverse logistics and innovation. Research limitations/implications: The limitations of this paper start from its selection of the companies, which was made using production volume and country of origin as the principal criteria. There is ample evidence that other, smaller, companies are pursuing more sophisticated and original environmental initiatives. Also, there might be a gap between what companies say they do in their environmental reports and what they actually do. Practical implications: This paper helps practitioners in the automotive industry to benchmark themselves against the major volume manufacturers in three different continents. Practitioners from other industries will also find it valuable to discover how the automotive industry is pursuing environmental initiatives beyond manufacturing, apart from the green operations practices covering broadly all the activities of operations function. Originality/value: The originality of the paper is in its up-to-date analysis of environmental reports of automotive companies. The paper offers value for researchers and practitioners due to its contribution to the green operations literature. For instance, the inclusion of green buildings as part of green operations practices has so far been neglected by most researchers and authors in the field of green and sustainable operations. © Emerald Group Publishing Limited.

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DUE TO COPYRIGHT RESTRICTIONS ONLY AVAILABLE FOR CONSULTATION AT ASTON UNIVERSITY LIBRARY AND INFORMATION SERVICES WITH PRIOR ARRANGEMENT

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This article empirically analyses the link between innovation and performance using a sample of large Australian firms, with a specific aim of developing benchmarking tools. Innovation is measured by firms' investment in R&D and applications for patents, trademarks and designs. An innovation index is constructed to provide one method of benchmarking. The index incorporates a firm's innovative activities into a single figure after accounting for firm size. The index provides a ranking of the most innovative firms in Australia. A second method of benchmarking uses a stochastic production frontier. This type of analysis identifies the firms which are located closest to a ‘best practice innovation frontier’.

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In this paper we evaluate and compare two representativeand popular distributed processing engines for large scalebig data analytics, Spark and graph based engine GraphLab. Wedesign a benchmark suite including representative algorithmsand datasets to compare the performances of the computingengines, from performance aspects of running time, memory andCPU usage, network and I/O overhead. The benchmark suite istested on both local computer cluster and virtual machines oncloud. By varying the number of computers and memory weexamine the scalability of the computing engines with increasingcomputing resources (such as CPU and memory). We also runcross-evaluation of generic and graph based analytic algorithmsover graph processing and generic platforms to identify thepotential performance degradation if only one processing engineis available. It is observed that both computing engines showgood scalability with increase of computing resources. WhileGraphLab largely outperforms Spark for graph algorithms, ithas close running time performance as Spark for non-graphalgorithms. Additionally the running time with Spark for graphalgorithms over cloud virtual machines is observed to increaseby almost 100% compared to over local computer clusters.