20 research outputs found

    Essays on efficiency and international tourism

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    RESUMEN: Esta tesis doctoral consta de tres ensayos sobre la economía del turismo. En el primer y tercer ensayo se realiza un análisis de eficiencia turística de las regiones españolas y de los factores que pueden estar determinando su evolución. En el segundo ensayo se hace una profunda revisión bibliográfica sobre la literatura que analiza la eficiencia turística a nivel mundial. El período de análisis abarca desde la última mitad del siglo XX (entre 1978 en el caso del estudio de la bibliografía turística, año en el que Charnes, Cooper y Rhodes introducen el Análisis Envolvente de Datos) hasta el periodo más reciente de nuestra economía (2018 en el tercer ensayo). En los dos ensayos que analizan la eficiencia turística en España el periodo comprende desde inicios del siglo XXI (2008 en el caso de la eficiencia de los destinos turísticos españoles) hasta los datos más actuales disponibles en este momento.ABSTRACT: This doctoral thesis consists of three essays on the economics of tourism. In the first and third essay an analysis of tourist efficiency of the Spanish regions and of the factors that may be determining their evolution is carried out. In the second essay, an in-depth bibliographical review is done on the literature that analyzes tourism efficiency worldwide. The analysis period covers from the last half of the twentieth century (between 1978 in the case of the study of the tourist bibliography, year in which Charnes, Cooper and Rhodes introduce the Data Envelope Analysis) until the most recent period of our economy ( 2018 in the third essay). In the two essays that analyze tourism efficiency in Spain, the period ranges from the beginning of the 21st century (2008 in the case of the efficiency of Spanish tourist destinations) to the most current data available at this time

    Relational Benefits, Customer Satisfaction, And Customer Loyalty In Chain Store Restaurants

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    [[abstract]]This study aims to investigate the structural relationships among relational benefits, customer satisfaction, and customer loyalty in the chain store restaurants. Based on a theoretical background literature review, three types of customer relational benefits were determined: psychological, social, and special treatment benefits. Theoretical relationships among relational benefits, customer satisfaction, and customer loyalty were derived from the review of literature, and a theoretical model was proposed. The proposed model was then tested employing data collected from 267 customers of chain store restaurants. The results of subsequent analysis of the data indicated that relational benefits influence customer loyalty, and customer satisfaction with employees influence customer loyalty. In addition, the impact of which is partially mediated by satisfaction with employees. The managerial implications of these findings are discussed in the latter part of this article.[[notice]]補正完畢[[incitationindex]]EI[[booktype]]電子

    Fuzzy multicriteria analysis and its applications for decision making under uncertainty

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    Multicriteria decision making refers to selecting or ranking alternatives from available alternatives with respect to multiple, usually conflicting criteria involving either a single decision maker or multiple decision makers. It often takes place in an environment where the information available is uncertain, subjective and imprecise. To adequately solve this decision problem, the application of fuzzy sets theory for adequately modelling the uncertainty and imprecision in multicriteria decision making has proven to be effective. Much research has been done on the development of various fuzzy multicriteria analysis approaches for effectively solving the multicriteria decision making problem, and numerous applications have been reported in the literature. In general, existing approaches can be categorized into (a) multicriteria decision making with a single decision maker and (b) multicriteria group decision making. Existing approaches, however, are not totally satisfactory due to various shortcomings that they suffer from including (a) the inability to adequately model the uncertainty and imprecision of human decision making, (b) the failure to effectively handle the requirements of decision maker(s), (c) the tedious mathematical computation required, and (d) cognitively very demanding on the decision maker(s). This research has developed four novel approaches for effectively solving the multicriteria decision making problem under uncertainty. To effectively reduce the cognitive demand on the decision maker, a pairwise comparison based approach is developed in Chapter 4 for solving the multicriteria problem under uncertainty. To adequately meet the interest of various stakeholders in the multicriteria decision making process, a decision support system (DSS) based approach is introduced in Chapter 5. In Chapter 6, a consensus oriented approach is presented in multicriteria group decision making on which a DSS is proposed for facilitating consensus building in solving the multicriteria group decision making problem. In Chapter 7, a risk-oriented approach is developed for adequately modelling the inherent risk in multicriteria group decision making with the use of the concept of ideal solutions so that the complex and unreliable process of comparing fuzzy utilities usually required in fuzzy multicriteria analysis is avoided. Empirical studies of four real fuzzy multicriteria decision making problems are presented for illustrating the applicability of the approaches developed in solving the multicriteria decision making problem. A hospital location selection problem is discussed in Chapter 8. An international distribution centre location problem is illustrated in Chapter 9. A supplier selection problem is presented in Chapter 10. A hotel location problem is discussed in Chapter 11. These studies have shown the distinct advantages of the approaches developed respectively in this research from different perspectives in solving the multicriteria decision making problem

    Rethinking the risk matrix

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    So far risk has been mostly defined as the expected value of a loss, mathematically PL (being P the probability of an adverse event and L the loss incurred as a consequence of the adverse event). The so called risk matrix follows from such definition. This definition of risk is justified in a long term “managerial” perspective, in which it is conceivable to distribute the effects of an adverse event on a large number of subjects or a large number of recurrences. In other words, this definition is mostly justified on frequentist terms. Moreover, according to this definition, in two extreme situations (high-probability/low-consequence and low-probability/high-consequence), the estimated risk is low. This logic is against the principles of sustainability and continuous improvement, which should impose instead both a continuous search for lower probabilities of adverse events (higher and higher reliability) and a continuous search for lower impact of adverse events (in accordance with the fail-safe principle). In this work a different definition of risk is proposed, which stems from the idea of safeguard: (1Risk)=(1P)(1L). According to this definition, the risk levels can be considered low only when both the probability of the adverse event and the loss are small. Such perspective, in which the calculation of safeguard is privileged to the calculation of risk, would possibly avoid exposing the Society to catastrophic consequences, sometimes due to wrong or oversimplified use of probabilistic models. Therefore, it can be seen as the citizen’s perspective to the definition of risk

    Strategic Logistics Outsourcing:Integrated Models for Evaluating and Selecting Logistics Service Providers (LSPs) Upstream/Downstream Supply Chain Comparison

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    This research aims to maximize the logistics outsourcing benefits through developing new hybrid models for evaluating and selecting Logistics Service Providers (LSPs). The growing demand for logistics outsourcing and the increase in the number and type of LSPs highlight the increasing importance of the LSP evaluation and selection process. Firms use various approaches to evaluate and select their LSP partners. Most of these approaches seem to have overlooked the strategic side of the logistics outsourcing process. Additionally, the uncertainty issue of data, the complexity of the decision and the large number of criteria involved increase the attractiveness of the Multi-Criteria Decision-Making (MCDM) approaches. A comparative literature review was used in order to identify crucial factors and methods that are used in logistics literature in fragmented ways and therefore, to establish and design a conceptual framework and models for logistics outsourcing. First, a long list of evaluation criteria was developed. Three main dimensions were identified: logistics performance, logistics resources and logistics services. Then a conceptual framework was developed using the three main dimensions with their related factors. Based on the comparative literature review outcomes, a number of integrated models have been developed and used to achieve this aim with emphasis given to FDEMATEL, FTOPSIS and FQFD techniques. Whereas the FDEMATEL technique contributed to construct influence relationships between factors under each dimension, develop impact-relationship maps and identify dependent and independent success factors (ISFs), the FTOPSIS technique used the weighted success factors to evaluate, rank and select the best LSP in three case studies. Twenty-one ISFs have been identified to be used in the final approach. These ISFs consist of eight LKPIs, seven logistics services and six logistics resources and capabilities. All of the factors were used to evaluate and select the best LSP alternative and ISFs were used to conduct the evaluation process. Different sensitivity analysis tests are used to confirm models’ robustness. Based on the outcomes of both cases, decision makers can use independent factors alone to evaluate and select the best LSP, which simplified the logistics outsourcing process in our study. The FQFD technique was used to link the LSUs strategic objectives with logistics requirements and the ISFs to develop a new strategic logistics outsourcing approach. Finally, two case studies representing the supply chain upstream and downstream are used to demonstrate the new hybrid approach effectiveness. The comparison of both cases’ findings highlighted their differences in terms of strategic objectives, logistics requirements and ISFs

    Imagining Taiwan : the making and the museological representation of art in Taiwan's quest for identity (1987-2010)

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    This thesis probes and analyses the critical role of art in the shaping of Taiwan's national identity during the period 1987-2010. With the rise of democratisation and national identity consciousness (bentu yishi), Taiwan's quest for national identity intensified after the lifting of martial law in 1987. The thesis challenges the view that art has played an inconsequential role in this identity discourse by demonstrating that artists, curators and art museums have significantly contributed towards the processes of identity formation, particularly during the peak period of the early-mid 1990s. Focusing on the nature and extent of the contribution of artists, curators and art museums to Taiwan's quest for identity, the thesis explores how national identity narratives were imagined, interpreted, projected and transmitted, nationally and internationally, through the production, selection and exhibition of art from Taiwan. Structurally, the thesis contextualizes each socio-political period, providing the backdrop for a series of case studies. These demonstrate how artists, curators and art museums became active agents in the processes of national identity formation, not only promoting but also critiquing and contesting identity narratives revolving around the concept of a 'Taiwan nation'. Given that national identities are relational and fluid constructs, the thesis reveals how identity discourses in art had diminished in significance by the early twenty-first century when globalisation, the rise of China, and art market forces transformed identity discourses in art from a Taiwan-centred narrative into one embracing not only regional and global perspectives but, most critically, dialogue and exchange with China

    The drivers of Corporate Social Responsibility in the supply chain. A case study.

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    Purpose: The paper studies the way in which a SME integrates CSR into its corporate strategy, the practices it puts in place and how its CSR strategies reflect on its suppliers and customers relations. Methodology/Research limitations: A qualitative case study methodology is used. The use of a single case study limits the generalizing capacity of these findings. Findings: The entrepreneur’s ethical beliefs and value system play a fundamental role in shaping sustainable corporate strategy. Furthermore, the type of competitive strategy selected based on innovation, quality and responsibility clearly emerges both in terms of well defined management procedures and supply chain relations as a whole aimed at involving partners in the process of sustainable innovation. Originality/value: The paper presents a SME that has devised an original innovative business model. The study pivots on the issues of innovation and eco-sustainability in a context of drivers for CRS and business ethics. These values are considered fundamental at International level; the United Nations has declared 2011 the “International Year of Forestry”

    Three empirical essays of efficiency and productivity in Chinese banking industry

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    This thesis is about measuring and interpreting banking efficiency in China. It consists of three empirical essays that use Data Envelopment Analysis (DEA) in three novel ways to measure inefficiency. The first essay measures cost inefficiency of the 14 nationwide banks over the period 1997-2006. A rational model of rent-seeking behaviour is used to explain part of the cost inefficiency. Cost inefficiency is decomposed into X-inefficiency and Rent-seeking inefficiency and the latter is interpreted as symptomatic of rational decision making by the Chinese bank manager. The efficiency estimates are obtained from a Simar and Wilson (2000a) proposed bootstrap method. A second stage regression model explains that the rate of decline of the inefficiencies is faster for the joint-stock commercial banks (JSCBs) than for the state-owned commercial banks (SOCBs). The second essay, estimates total factor productivity (TFP) growth for SOCBs, JSCBs and city commercial banks (CCBs) for the period 1997-2007. The method of estimation is the Malmquist bootstrap method. This study finds that TFP growth did not improve significantly in the run up to WTO. Technical innovation was dominated by the big banks and efficiency gains were dominated by the CCBs. The third essay uses a network DEA (NDEA) framework to analyse profit efficiency between three profit centres within the bank, namely consumer, corporate and Treasury banking. The internal efficiencies of the state wide banks are analysed for the period 2007-2009. The study demonstrates the value of the NDEA method in aiding the manager to identify areas of inefficiency within the internal flow of funds of the bank. The results show Treasury operations have the lowest efficiency. This is partly caused by restrictions on the loan-deposit ratio that forces the banks to hold lower yielding other earning assets through their Treasury operations.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

    How digital data are used in the domain of health: A short review of current knowledge

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    In the era of digitalization, digital data is available about every aspect of our daily lives, including our physical and mental health. Digital data has been applied in the domain of healthcare for the detection of an outbreak of infectious diseases, clinical decision support, personalized care, and genomics. This paper will serve as a review of the rapidly evolving field of digital health. More specifically, we will discuss (1) big data and physical health, (2) big data and mental health, (3) digital contact tracing during the COVID-19 pandemic, and finally, (4) ethical issues with using digital data for health-related purposes. With this review, we aim to stimulate a public debate on the appropriate usage of digital data in the health sector
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