1,720,953 research outputs found

    Examining the relationship of communication service utilisation and productivity of labour in the developing country: A case study of Thailand

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    It is widely acknowledged that there is a relationship between the use of ICT and economic growth. A number of works of literature point out such fact in the developed country. This study, however, attempts to examine the relationship of the use of ICT and labour productivity, which is one of the factors indicating the economic growth, in the developing country. Thailand is selected for the investigation with the country's data in the period of 1999 - 2010. The ICT is represented by communications consumption and investment throughout the paper. The author presumably proposes a framework in order to verify the relationship in an intuitive way. The quantitative analyses of OLS estimation and the bivariate autoregressive model, or the Granger-causality test, support the validity of the framework and clearly point out the one-way causal relationship flowing from the communications consumption to labour productivity; the communications investment to labour productivity, and the communications consumption to communications investment

    Examining the relationship of communication service utilisation and productivity of labour in the developing country: A case study of Thailand

    Get PDF
    It is widely acknowledged that there is a relationship between the use of ICT and economic growth. A number of works of literature point out such fact in the developed country. This study, however, attempts to examine the relationship of the use of ICT and labour productivity, which is one of the factors indicating the economic growth, in the developing country. Thailand is selected for the investigation with the country's data in the period of 1999 - 2010. The ICT is represented by communications consumption and investment throughout the paper. The author presumably proposes a framework in order to verify the relationship in an intuitive way. The quantitative analyses of OLS estimation and the bivariate autoregressive model, or the Granger-causality test, support the validity of the framework and clearly point out the one-way causal relationship flowing from the communications consumption to labour productivity; the communications investment to labour productivity, and the communications consumption to communications investment. --

    Cloud computing and prospective business and economic impacts in developing country: A case study of Thailand

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    The cloud computing model is a modern concept of computation that provides a number of benefits for its adopters. This online computing model has been widely used in the western world and accepted to have some business and economic impacts. This paper provides some basic knowledge about cloud computing along with its economic benefits. The author proposes that there is an endogenous relationship between the cloud computing and each of the business and economic variables, namely output, employment, and labour productivity. In order to forecast the impacts of the cloud computing adoption, the Vector Autoregressive (VAR) model is constructed. Thailand is selected as ground for investigation. Apart from the bi-directional causality, the results also show prospective positive impacts of the cloud computing adoption on the growth of output, employment, and labour productivity. Despite the macroeconomic benefits, some policy implications include the encouragement of the cloud computing adoption in universities and banks in order to realise the benefit of scalability and efficient usage of computing resources

    Cloud computing and prospective business and economic impacts in developing country: A case study of Thailand

    Get PDF
    The cloud computing model is a modern concept of computation that provides a number of benefits for its adopters. This online computing model has been widely used in the western world and accepted to have some business and economic impacts. This paper provides some basic knowledge about cloud computing along with its economic benefits. The author proposes that there is an endogenous relationship between the cloud computing and each of the business and economic variables, namely output, employment, and labour productivity. In order to forecast the impacts of the cloud computing adoption, the Vector Autoregressive (VAR) model is constructed. Thailand is selected as ground for investigation. Apart from the bi-directional causality, the results also show prospective positive impacts of the cloud computing adoption on the growth of output, employment, and labour productivity. Despite the macroeconomic benefits, some policy implications include the encouragement of the cloud computing adoption in universities and banks in order to realise the benefit of scalability and efficient usage of computing resources. --Cloud computing,Macroeconomic indicators,Forecast,Thailand

    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

    A developmental framework for ICT and labour productivity in the developing country: A case study of Thailand

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    The aim of this study is to verify the causal relationship between ICT and economic development in Thailand by providing a comprehensive framework based on economic theory and followed by sound quantitative analyses. The contribution of ICT to economic growth has been repeatedly discussed in the literature. Most studies in developed nations have concluded positive impacts of ICT on economic development (Cronin et al., 1991; Koutroumpis, 2009; Roller & Waverman, 2001). In addition, there are a number of related researches in developing countries that emphasised the ICT as a favourable driver for economic prosperity (Madden & Savage, 1998, 2000). Founded on the interest of aforementioned researches, this study tackles a further investigation on this issue by focusing on the relationship of ICT and improvement of labour productivity in a developing country. Thailand was selected as ground for investigation since for this country the relationship has not yet been examined by using a macroeconomic model. In other words, this study aims to provide a country study of Thailand with respect to the impact of ICT on the macroeconomic development. In terms of the formation of relevant variables, the quantitative proxy for ICT is presumably the value of communications extracted from value-added national output. Then such the value is disintegrated into two variables, namely value of communications consumption and investment. The value of labour productivity is measured in terms of output per employed worker. The following quantitative economic approaches are adopted. Firstly, it begins with a theoretical derivation of a Cobb-Douglas production function, which is a modification of the model of Khan & Santos (2002). Secondly, a framework is proposed in order to incorporate the two types of communications and labour productivity. The framework represents an interesting yet conjectural relationship of the two variables of communications and labour productivity. Finally, econometric analyses are conducted, providing robust results and endorsing the validity of the framework..

    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
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