1,720,954 research outputs found
Destination City for Digital Nomad\u27s in Thailand: A Case Study of Digital Nomad Community in Chiang Mai
No full textThe popularity of moving abroad for working and travelling at the same time has started to become a lifestyle that gradually breaks the traditional way of working as salaried workers or being known as a Digital Nomad (Müller, 2016). In Thailand, Bangkok, Chiang Mai and Phuket are the top destinations, especially Chiang Mai, which was once chosen as the world\u27s number 1 destination for digital nomads to move to (Chiangmai buddy, 2017). This study aims to understand the factors of nomads’ migration (Pofeldt, 2017). Qualitative research collected data and in-depth interviews with 11 key informants through a digital nomad community in Chiang Mai. Data analysis was performed through the method of content analysis. The results of the research showed that there were three factors supporting a decision of selecting Chiang Mai as a destination city. The first factor is natural and cultural capital, such as its unique culture, various tourist attractions, food, and diverse nature. The second factor is access to work and communication infrastructures through the internet, cafés, internet prices, and services. The third factor is information exchange networks are built, integrating networks of a digital nomad community in Chiang Mai where opinions are exchanged, and activities are performed constantly. This has led to exchange networks that have made Chiang Mai become a top destination for nomads around the world
Motivation and decision in choosing civil services as a career of fourth-year students at Chiang Mai University due to the COVID-19 pandemic
No full textBackground: The COVID-19 epidemic is affecting the work of people around the world including students who have to graduate and to decide in choosing a civil servant career. The aim of the study: to explore the motivating factors influencing the decision for the 4th year students of Chiang Mai University to enter the civil service during the COVID era. Materials and Methods: This study was conducted among fourth-year students at Chiang Mai University. The sample in this study consisted of 362 people. Multiple regression analysis was used to find a linear equation that expressed the relationship between motivating factors and decision-making. Results: The findings of this research showed that choosing civil services as a career of fourth-year students at Chiang Mai University during the COVID-19 outbreak was high with an average of 3.60. According to hypothesis testing, the factors affecting levels of favorable decision in choosing a civil service career were statistically significant at the 0.05 level in descending order as follows: security, compensation and benefits, values, career path and job characteristics. The influence of personal factors on choosing civil service jobs were not significantly different at the 0.05 level, except the family income factor that influences choosing civil service jobs. Conclusions: It was found that personal factors which consisted of gender, domicile, grade point average and average family income per month affecting different government career choices and factors in motivation in deciding to choose a government career containing job characteristics, compensation factor and welfare factors career advancement factors, security factor and value factors had a negative effect on the level of decision-making on the choice of civil service careers
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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