1,721,050 research outputs found

    Analyzing the Direct Relationship between Every- Single Dimensions of Service Quality and WOM with a Particular Multidimensional Scale of WOM Behavior

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    There are remarkable researches about the relationship between word of mouth (WOM) and service quality, but there are very limited researches that explain the direct relationship between every single dimension of service quality and three major dimensions of WOM (value, intensity, and content) in the resort hotel industry. So, the research mainly aims to determine the direct relationship between every single dimension of service quality and the three major dimensions of WOM in the (resort) hotel industry. The secondary purpose of the research is to determine significant differences between sociodemographic characteristics and the three major dimensions of WOM if there are any. Additionally, the most preferred WOM channels and the most discussed WOM content were determined in this study. The research was conducted for 416 domestic tourists who have accommodation experiences in four and five stars resort hotels in Muğla province, Turkey, and quantitative data analysis was used through IBM SPSS. The findings of the research show that there are significant relationships between the three major WOM dimensions and service quality dimensions (apart from physical characteristics). Based on the important results of the research, managerial implications and theoretical contributions were discussed thoroughly in “Results and discussion” and “Conclusion and implications.

    A new approach to determine maintenance periods of the most critical hydroelectric power plant equipment

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    Bulut, Merve/0000-0002-4412-9071Power plants are large-scale generation facilities with high investment costs established to ensure sustainable energy supply. Maintenance-Repair activities constitute the most critical process to be considered in these facilities. Because, these activities cause planned or unplanned generation interruptions. For this reason, it is of great importance to calculate the maintenance periods determined on the basis of equipment health in the power plants. From this point of view in this study, the problem of determining maintenance periods is handled in the big scale hydroelectric power plant in Turkey. Due to the complexity of problem environment particularly including 16 equipment groups with the highest level of criticality on the power plant, proposing combined multi criteria decision making model (MCDM) has become invaluable for the purpose of reaching convincing outcomes. In order to obtain maximum benefit, investigation for appropriate probability distributions of 11-year failure and repair data belonging to the equipment group and analyses for reliability, availability and maintainability analyses are performed for 16 critical equipment groups. Finally, maintenance periods for 16 equipment groups were calculated using the curve family formed by the cost coefficient of Weibull distribution parameters. On the specified maintenance days based on system reliability and maintenance costs, it was observed that 16 critical equipment had no failures during the 1-year monitoring process. This indicates a 100% improvement

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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