1,720,961 research outputs found
ETL and Dashboards for Student Recruitment & Marketing
No full textIn higher education, student recruitment and marketing play a prominent role in the success of educational institutions, maintaining a robust student population and fostering diversity. Institutions compete for the attention of prospective students, and in this data-driven era, a strategic and data-driven approach is required to compete and make informed business decisions. The student recruitment and marketing team of the University of Helsinki possesses various data sources that require storage, transformation, and visualization to get insights from that data.
This thesis aims to solve these problems by creating a cloud database using Azure SQL Database, building Extract, Transform, and Load (ETL) pipelines using Azure Data Factory, and developing dashboards in Power BI that allow the student recruitment and marketing team to transform and load their data into a database and visualize the data in Power BI that helps in making better strategic decisions and sharing the dashboards with stakeholders across the institution.
The results establish the ability to use Azure services for data management. Results include interactive dashboards in Power BI consisting of various visualizations that meet the requirements of the student recruitment and marketing team by providing Key performance indicators (KPIs). This approach enabled data-driven decision-making for the student recruitment and marketing team
Factors affecting consumer’s healthy-package food consumption intention
Full text linkEager of convenience is the natural phenomena of all mankind. Similar pattern has been observed in food related decisions. Owing to the rising trend of individuals towards the consumption of packaged food the transition of disease pattern from acute to chronic has also been noticed. Psychologically, individuals’ intention is the foundation of their actual behavior. Individuals’ intention and actual behavior are correlated with each other, therefore, it is expected that positive strong intention direct towards actual purchase of any object. Furthermore, the research on consumers’ intention towards packaged food in developing and under developing countries are still far behind to figure out the solution on this issue. Therefore, this study has targeted Pakistani consumers to examine their intention towards healthy packaged food consumption. The objective of the study was accomplished with traffic lights symbols, health claims, user friendly food label, subjective norm, self-efficacy, attitude towards food label, five personality traits and intention to consume healthy packaged food. Ajzen’s theory of planned behavior was used as the underpinning theory. For data collection self-administered questionnaire was employed to target MBA students of fourteen universities. The sample size was 537 and technique was systematic random sampling. Structural equation modeling was used to analyze the complete model. The traffic lights symbol was having ineffective for Pakistani consumers whereas health claims and user friendly food label indirectly influenced consumers’ intention with the mediation of attitude. In addition to, subjective norm and self-efficacy were having positive significant effect on intention to consume healthy packaged food. Moreover, conscientiousness and agreeableness were supported for moderation effect. Theoretical and practical implications are also discussed. Finally, this research provides suggestions for future research
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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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