776 resultados para importance value index


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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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Readers may have noted that a short but very important announcement was made in the last issue of CLAE, at the top of the contents page. CLAE has been accepted by Thomson Reuters for abstracting and indexing in its SciSearch, Journal Citation Reports, and Current Contents services. This will ensure a greater visibility to the international research community. In addition, in June 2012 CLAE will receive its very first official Impact Factor – a measure of journal influence of importance to authors and readers alike. The impact factor value has not yet been decided but internal estimates by Elsevier estimate it will be around 1, and it will be applied to all CLAE issue back to January 2009 (volume 32). I would guess readers at this stage would have one of two responses – either ‘that's good news’ or perhaps ‘what's an impact factor?’ If you are in the latter camp then allow me to try and explain. Basically the impact factor or citation index of a journal is based on how many times in the previous year papers published in that journal in the previous two years were cited by authors publishing in other journals. So the 2012 impact factor for CLAE is calculated on how many times in 2011 papers that were published in CLAE in 2010 and 2009 were cited in other journals in 2011, divided by the number of papers published in CLAE 2010 and 2009. Essentially authors will try and get their work published in journals with a higher impact factor as it is thought that the paper will be cited more by other authors or the paper will have higher visibility in the arena. For universities having its published output in higher journals is one of the markers used to judge esteem. For individual authors publishing in journals with a higher impact factor or the number of times one of their papers is published is something that they are likely to add to their CVs or demonstrate the importance of their work. Journals with higher impact factors tend to be more review journals or journals with a wider spectrum so for a relatively small journal with a specialised field like CLAE it is great to be listed with a citation index. The awarding of a citation index crowns many changes that CLAE has undergone since the current Editor took the reins in 2005. CLAE has increased from four issues (in 2004) to six issues per year with at least one review article per issue and one article with continuing education per issue. The rejection rate has gone up significantly meaning that only best papers are published (currently it stands at 37%). CLAE has been Medline/Pubmed indexed for a few years now which is also a very important factor in improving visibility of the journal. The submission and reviewing process for CLAE in now entirely online and finally the editorial board has changed from being merely a list of keynote people to being an active group of keynote people who are enthusiastically involved with the journal. From the editorial board one person is appointed as a Reviews Editor plus we have two additional editors who work as Regional Editors. As ever, on behalf of CLAE I would like to thank the BCLA Council for their continued support (especially Vivien Freeman) and Elsevier for their continuing guidance (in particular Andrew Miller and Rosie Davey) and the excellent Editorial Board (Christopher Snyder, Pauline Cho, Eric Papas, Jan Bergmanson, Roger Buckley, Patrick Caroline, Dwight Cavanagh, Robin Chalmers, Michael Doughty, Nathan Efron, Michel Guillon, Nizar Hirji, Meng Lin, Florence Malet, Philip Morgan, Deborah Sweeney, Brian Tighe, Eef van Der Worp, Barry Weissman, Mark Willcox, James Wolffsohn and Craig Woods). And finally, a big thanks to the authors and reviewers who work tirelessly putting manuscripts together for publication in CLAE. Copyright © 2012 Published by Elsevier Ltd.

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Long-period fibre gratings (LPGs) have previously been used to detect quantities such as temperature, strain and refractive index (RI). The responsivity to surrounding refractive index means that, potentially, LPGs could be realised as optical biosensors for applications in biochemical and biomedical application areas. We report here to our best knowledge the first investigation on refractive index sensing properties of LPGs with sol-gel derived titanium and silicon oxide coatings. It is revealed that the RI sensitivity of an LPG is affected by both the thickness and the index value of the coating; the coating with higher index and thickness will enhance the LPG RI sensitivity significantly. The surrounding refractive index induced LPG resonance shift has been evaluated over the LPGs’ most sensitive RI region from 1.42 to 1.44. We have identified that, in this region, the uncoated LPG has an RI sensitivity of (-673.0±0.4)nm/uri (unit of refractive index) while the LPG coated with titanium oxide exhibits a sensitivity as high as (-1067.15±0.04)nm/uri.

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This short paper sets out to further develop the debate around the practices and technologies within operations that are critical to success with servitization. This paper draws findings from four companies that are leading in their delivery of advanced services, and reports on the organisation and skill-sets of people within these organisations. In particular it examines the roles and activities of people within the front-office, identifies the skill-sets that are espoused as being critical, and then seeks to present the rational that explains this importance. It concludes by proposing a working hypothesis for future studies in this field.

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This article focuses on the relevance of undergraduate business and management higher education from the perspectives of recent graduates and graduate employers in four European countries. Drawing upon the findings of an empirical qualitative study in which data was collated and analysed using grounded theory research techniques, the paper draws attention to graduates' and employers' perceptions of the value of higher education in equipping students with discipline-specific skills and knowledge as well as softer 'generic' skills. It also highlights the importance of formal 'work-based' learning within undergraduate curricula in providing students with the skills and experiences required by employers operating within a global workplace. © 2014 John Wiley & Sons Ltd.

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This paper is aimed at those interested in the promotion of student retention in higher education; particularly those with an interest in peer mentoring as a means of student support. It critically discusses the results of an exploratory study analysing the perceptions of peer mentors and mentees within five universities in the United Kingdom. The aim of the study was to analyse how student peer mentoring can aid transition into university by focusing specifically on how senior students can support their junior counterparts in their first year at university. The paper discusses the results of a survey which was completed by 329 student peer mentors and mentees. Focusing on the benefits and outcomes of participation in Mentoring Programmes, the survey was distinctive in that it asked mentors and mentees similar questions. From a theoretical perspective, the paper contributes to debates about peer support in higher education showing that participation in such programmes can have positive outcomes from both social and pedagogic perspectives. Practically speaking, the results have important implications for Higher Education Institutions as the research highlights the importance of putting into place formally structured Peer Mentoring Programmes which facilitate student support at a time when new students are most at risk of ‘dropping out’.

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The aim of this book is to consider theoretically the notion of the global competitiveness of regions, as well as giving attention as to how such competitiveness may be empirically measured. With this in mind, the book has three specific objectives: first, to place the concept of regional competitiveness within the context of regional economic development theory; second, to present a rationale and method for quantifying the global competitiveness of regions; and, third, to undertake the most geographically widespread analysis of regional competitiveness differences across the globe. With regard to the third goal, the analysis incorporates more than 500 regions across Europe, North and South America, Asia-Pacific, the Middle East, and the so-called BRIC economies of Brazil, Russia, India, and China. The importance of the concept of competitiveness has increased rapidly in recent years, with the issues surrounding it becoming, at the same time, more empirically refined and theoretically complex. The focus on regions reflects the growing consensus that they are the primary spatial units that compete to attract investment, and it is at the regional level that knowledge is circulated and transferred, resulting in agglomerations, or clusters, of industrial and service sector enterprises. This growing acknowledgement of the region’s role as a key spatial unit of organisation has led to attention turning to competitiveness at a more regional level. The book explores the results of the World Competitiveness Index of Regions (WCIR), covering the rankings and results of the 2014 edition. The WCIR provides a tool for analysing the development of a range of regional economies across the globe. It enables an illustration of the changing patterns of regional competitiveness on the international stage to be generated. In fundamental terms, the WCIR aims to produce an integrated and overall benchmark of the knowledge capacity, capability, and sustainability of each region, and the extent to which this knowledge is translated into economic value and transferred into the wealth of the citizens of each region.

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Purpose – The purpose of this paper is to explore the importance of host country networks and organisation of production in the context of international technology transfer that accompanies foreign direct investment (FDI). Design/methodology/approach – The empirical analysis is based on unbalanced panel data covering Japanese firms active in two-digit manufacturing sectors over a seven-year period. Given the self-selection problem affecting past sectoral-level studies, using firm-level panel data is a prerequisite to provide robust empirical evidence. Findings – While Japan is thought of as being a technologically advanced country, the results show that vertical productivity spillovers from FDI occur in Japan, but they are sensitive to technological differences between domestic firms and the idiosyncratic Japanese institutional network. FDI in vertically organised keiretsu sectors generates inter-industry spillovers through backward and forward linkages, while FDI within sectors linked to vertical keiretsu activities adversely affects domestic productivity. Overall, our results suggest that the role of vertical keiretsu is more prevalent than that of horizontal keiretsu. Originality/value – Japan’s industrial landscape has been dominated by institutional clusters or networks of inter-firm organisations through reciprocated, direct and indirect ties. However, interactions between inward investors and such institutionalised networks in the host economy are seldom explored. The role and characteristics of local business groups, in the form of keiretsu networks, have been investigated to determine the scale and scope of spillovers from inward FDI to Japanese establishments. This conceptualisation depends on the institutional mechanism and the market structure through which host economies absorb and exploit FDI.

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This paper develops an index for comparing the productivity of groups of operating units in cost terms when input prices are available. In that sense it represents an extension of a similar index available in the literature for comparing groups of units in terms of technical productivity in the absence of input prices. The index is decomposed to reveal the origins of differences in performance of the groups of units both in terms of technical and cost productivity. The index and its decomposition are of value in contexts where the need arises to compare units which perform the same function but they can be grouped by virtue of the fact that they operate in different contexts as might for example arise in comparisons of water or gas transmission companies operating in different countries.

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This paper seeks to advance the theory and practice of the dynamics of complex networks in relation to direct and indirect citations. It applies social network analysis (SNA) and the ordered weighted averaging operator (OWA) to study a patent citations network. So far the SNA studies investigating long chains of patents citations have rarely been undertaken and the importance of a node in a network has been associated mostly with its number of direct ties. In this research OWA is used to analyse complex networks, assess the role of indirect ties, and provide guidance to reduce complexity for decision makers and analysts. An empirical example of a set of European patents published in 2000 in the renewable energy industry is provided to show the usefulness of the proposed approach for the preference ranking of patent citations.

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Analysis of risk measures associated with price series data movements and its predictions are of strategic importance in the financial markets as well as to policy makers in particular for short- and longterm planning for setting up economic growth targets. For example, oilprice risk-management focuses primarily on when and how an organization can best prevent the costly exposure to price risk. Value-at-Risk (VaR) is the commonly practised instrument to measure risk and is evaluated by analysing the negative/positive tail of the probability distributions of the returns (profit or loss). In modelling applications, least-squares estimation (LSE)-based linear regression models are often employed for modeling and analyzing correlated data. These linear models are optimal and perform relatively well under conditions such as errors following normal or approximately normal distributions, being free of large size outliers and satisfying the Gauss-Markov assumptions. However, often in practical situations, the LSE-based linear regression models fail to provide optimal results, for instance, in non-Gaussian situations especially when the errors follow distributions with fat tails and error terms possess a finite variance. This is the situation in case of risk analysis which involves analyzing tail distributions. Thus, applications of the LSE-based regression models may be questioned for appropriateness and may have limited applicability. We have carried out the risk analysis of Iranian crude oil price data based on the Lp-norm regression models and have noted that the LSE-based models do not always perform the best. We discuss results from the L1, L2 and L∞-norm based linear regression models. ACM Computing Classification System (1998): B.1.2, F.1.3, F.2.3, G.3, J.2.

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This chapter investigates the conflicting demands faced by web designers in the development of social e-atmospherics that aim to encourage e-value creation, thus strengthening and prolonging market planning strategies. While recent studies have shown that significant shifts are occurring concerning the importance of users’ generated content by way of social e-communication tools (e.g. blogs), these trends are also creating expectations that social and cultural cues ought to become a greater part of e-atmospherics and e-business strategies. Yet, there is growing evidence that organizations are resisting such efforts, fearing that they will lose control of their e-marketing strategy. This chapter contributes to the theory and literature on online cross-cultural understanding and the impact website designers (meso-level) can have on improving the sustainability of e-business planning, departing from recent studies that focus mainly on firms’ e-business plans (macro-level) or final consumers (micro-level). A second contribution is made with respect to online behavior regarding the advancement of technologies that facilitate the development and shaping of new social e-atmospherics that affect users’ behavior and long term e-business strategies through the avoidance of traditional, formal decision making processes and marketing strategy mechanisms implemented by firms. These issues have been highlighted in the literature on the co-production and co-creation of value, which few organizations have thus far integrated in their strategic and pragmatic e-business plans. Drawing upon fifteen online interviews with web designers in the USA, as key non-institutional actors at the meso-level who are developing what future websites will be like, this chapter analyzes ways in which identifying points of resistance and conflicting demands can lead to engagement with the debate over the online co-creation of value and more sustainable future e-business planning. A number of points of resistance to the inclusion of more e-social atmospherics are identified, and the implications for web designers’ roles and web design planning are discussed along with the limitations of the study and potential future research for e-business studies.

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Monitoring is essential for conservation of sites, but capacity to undertake it in the field is often limited. Data collected by remote sensing has been identified as a partial solution to this problem, and is becoming a feasible option, since increasing quantities of satellite data in particular are becoming available to conservationists. When suitably classified, satellite imagery can be used to delineate land cover types such as forest, and to identify any changes over time. However, the conservation community lacks (a) a simple tool appropriate to the needs for monitoring change in all types of land cover (e.g. not just forest), and (b) an easily accessible information system which allows for simple land cover change analysis and data sharing to reduce duplication of effort. To meet these needs, we developed a web-based information system which allows users to assess land cover dynamics in and around protected areas (or other sites of conservation importance) from multi-temporal medium resolution satellite imagery. The system is based around an open access toolbox that pre-processes and classifies Landsat-type imagery, and then allows users to interactively verify the classification. These data are then open for others to utilize through the online information system. We first explain imagery processing and data accessibility features, and then demonstrate the toolbox and the value of user verification using a case study on Nakuru National Park, Kenya. Monitoring and detection of disturbances can support implementation of effective protection, assist the work of park managers and conservation scientists, and thus contribute to conservation planning, priority assessment and potentially to meeting monitoring needs for Aichi target 11.

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Climate change has become one of the most challenging issues facing the world. Chinese government has realized the importance of energy conservation and prevention of the climate changes for sustainable development of China's economy and set targets for CO2 emissions reduction in China. In China industry contributes 84.2% of the total CO2 emissions, especially manufacturing industries. Data envelopment analysis (DEA) and Malmquist productivity (MP) index are the widely used mathematical techniques to address the relative efficiency and productivity of a group of homogenous decision making units, e.g. industries or countries. However, in many real applications, especially those related to energy efficiency, there are often undesirable outputs, e.g. the pollutions, waste and CO2 emissions, which are produced inevitably with desirable outputs in the production. This paper introduces a novel Malmquist-Luenberger productivity (MLP) index based on directional distance function (DDF) to address the issue of productivity evolution of DMUs in the presence of undesirable outputs. The new RAM (Range-adjusted measure)-based global MLP index has been applied to evaluate CO2 emissions reduction in Chinese light manufacturing industries. Recommendations for policy makers have been discussed.

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The successful operation of the regional development – or cohesion – policy of the European Union has a strategic importance from the point of view of the whole integration process. Strengthening economic, social and territorial cohesion and decreasing disparities between member states and regions are not only one of the main priorities of the integration, but at the same time these are justified expectations of the people living in the member states of the union. The cohesion transfers should be spent on those factors which have the biggest contribution to the improvement of development prospects and competitiveness in the given regions. Theories on regional development have controversial conclusions about the long-term formation of development disparities. However, it has become evident that successful development policies are based on endogenous factors, innovation and well-functioning institutions. After examining theoretical considerations and regional disparities the study analyses the impacts of EU regional policy and evaluates the main elements of the proposed regulatory frameworks for the period 2014-2020.