1,720,961 research outputs found
Routing techniques in three-dimensional Ad Hoc Networks
No full textDissertation (Ph.D. TS)--Assumption University, 2009.Includes bibliography
OCR (Optical Character Recognition) technique using neural networks
No full textStudent's Report (B.S.)--Assumption University, 1994.Includes bibliography
An influence of e-Wom and a moderating role of brand attitude on IT product purchase intention in Bangkok, Thailand
No full textIn the age of digitalization, it could not be ignored that electronic Word of Mouth as a part of electronic commerce may be consistent with competitive circumstances. This research paper aims to examine the behavioral intention of Bangkokian in perceiving and processing the information through online medias before purchasing IT products. It is convinced that the research finding could be a useful guidance in the age when digitalization. 398 Bangkokians, capable in reviewing other’s comments or reviews through online medias for the supportive information in evaluating the IT products, has been surveyed for this research. Convenience and snowball sampling techniques are used as the sampling methodology. The results obtained from this research have revealed that out of three quality dimensions measured (electronic Word of Mouth, brand attitude and purchase intention), electronic Word of Mouth has significant impact on brand attitude. Apart from that, both electronic Word of Mouth and brand attitude also have a significant positive relationship on purchase intention. However, there are no significant differences in willingness to purchase IT products among the two genders. The electronic Word of Mouth may be difficult to be occurred due to the fact that it is generated by real users yet it can be created from true admiration of firm’s product or services and strong determination to share their reviews to potential user. In summary, eWOM is one major driver of sales performance the time when internet became mainstream
Determinants of Behavioral Intention to Learn Arts Education of Postgraduate Students in Chengdu, China
No full textPurpose: This research delves into the factors that impact the behavioral intention of university students to engage in arts education. The conceptual framework encompasses social sphere, academic sphere, educational satisfaction, attitude, social influence, self-efficacy, effort expectancy, and behavioral intention. Research design, data, and methodology: The target population and sample size are 500 postgraduate students who have experienced arts education at top three universities in Chengdu, China. A quantitative research approach was adopted, using a questionnaire. The sampling techniques employed in this study include judgmental, quota, convenience, and snowball sampling. Both the item-objective congruence (IOC) index and Cronbach's alpha were used for validity and reliability testing, respectively. The collected data were analyzed through confirmatory factor analysis (CFA) and structural equation modeling (SEM), which served as the main statistical techniques for this research. Results: Social sphere and academic sphere significantly impact education satisfaction. Furthermore, education satisfaction, self-efficacy and effort expectancy significantly impact behavioral intention. Nevertheless, the relationship between attitude, social influence and behavioral intention is not supported. Conclusions: Understanding these determinants can inform the development of strategies and interventions to promote arts education and enhance students' engagement and intention to pursue arts-related fields
The Examination on Satisfaction and Behavioral Intention of Natural Science Majors Students Toward E-learning in Sichuan, China
No full textPurpose: This paper mainly studies the factors impacting natural science majors’ satisfaction and behavioral intention to adopt electronic learning (E-learning) at a public university in Sichuan, China. A conceptual framework was built upon the relationship between system quality, satisfaction, performance expectancy, effort expectancy, social influence, attitude, and behavioral intention. Research design, data, and methodology: The sample is 500 natural science major’s undergraduates from a public university in Sichuan Province. Non-probability samplings include purposive sampling, quota sampling, and convenient sampling. The validity and reliability test were employed before the data collection, approved by the item-objective congruence (IOC) index Cronbach’s Alpha coefficient values of the pilot test. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Modeling (SEM). Results: Research shows that all hypotheses were consistent with the research objectives. System quality, performance expectancy, effort expectancy, social influence, and attitude significantly impact behavioral intention. Satisfaction has the strongest impact on natural science major students’ behavioral intention to use E-learning Conclusions: Based on the findings, higher education decision-makers and policymakers focus on enhancing student satisfaction with e-learning by strengthening the IT infrastructure and their ability to sustain remote learning services
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
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