1,720,975 research outputs found
Students workload during their study process: evidence from Latvia
Full text linkPurpose: The purpose of the paper is to provide analysis on students’ workload in Latvia by researching the differences among study branches and modes of studies, and to find the correspondence of the real study workload to the officially regulated – 40 hours per week.
Design/Methodology/Approach: Analysis are based on the survey results performed in 2013 where 2917 students representing most of the Latvia’s higher education institutions provided answers on their study workload. Statistical calculations are used for data analysis.
Findings: The research results reflect that students in general spend less than 40 hours per week on their studies. In most cases devote less numbers to individual work, if compared to the number of hours spent in classes, the study directions of psychology, sociology being an exception. More than 56% of full-time students and 72% of part-time students consider the workload should be increased - in most cases they would prefer having more contact hours. In almost all the higher education institutions students do report on irregular workload that turns to be high in certain weeks and much weaker in others.
Research limitations/implications: The response rate - more than 3% students of higher education institutions and 7% of colleges is comparatively high, the data still doesn’t allow providing detailed analysis on each higher education institution and on each study level.
Practical implications: The research results and research methodology can be used by higher education institutions, in order to measure the students workload as well as to gain.
Social implications: Education is one of the most important tools for promoting person\u27s professional and personal development. In this regard – better quality in education will always promote better carrier possibilities for students.
Originality/value: The research draws a framework on the measurement possibilities of students workload. In addition, this is the first research in Latvia, involving more than 2900 respondents’ opinions, thus providing a representative sample
Tacit vs Explicit Knowledge Dichotomy: State-of-the-art Review for Technology Transfer Purposes
No full textThere is no consensus among scholars using and defining knowledge types and their interaction. Theoretical distinction between tacit and explicit knowledge have emerged. Tacit knowledge is positioned as contrast to explicit knowledge as a result of this dichotomy. However, there are indications that all knowledge has both tacit and explicit elements which can not exist one without the other – they are complementary and creates synergy for knowledge management.
The aim of this paper is to explore relevance of knowledge distinction between tacit and explicit knowledge for technology transfer purposes. Brief review of literature, draft discussion and One-on-One interviews were performed in order to find the answer on the research question: Does distinction between tacit and explicit knowledge is in place exploring knowledge for technology transfer purposes? Content analysis were performed to process qualitative data collected through the interviews. Research results show that distinction between tacit and explicit knowledge is not in place for technology transfer purposes. Knowledge consist of both tacit and explicit components. Also explanation for the reason why there are so many contradictions in knowledge management studies exploring knowledge explicitness is given in this paper. The article will provide a better understanding of issues related to tacit versus explicit knowledge dichotomy within technology transfer. Theoretical implications as well as recommendations for future research are given in this study
Impact of Human Capital on Development of Innovation Ecosystem in Latvia
No full textThe aim of the proposed scientific research is to determine whether Latvia (particularly Riga) has a potential for the development of human capital based innovation ecosystem. The paper is based on the study of definitions, statistical data, and field analysis. The authors analyse and show the significance of innovation ecosystem for sustainable development of innovation in Latvia. A part of the research results was also presented in the project "Human Capital and Innovation: Employment Policies in Local and Regional Innovation Networks for Talent Attraction and Better Job Opportunities", funded by the INTERREG IVC programme. According to the research results, Riga has a good potential for attraction of local and foreign human capital and development of efficient innovation ecosystem
Perspectives on Innovation and Technology Transfer
No full textIn an effort to understand development of economics, research fields such as innovation and technology transfer have emerged. Growing competition determines the importance of innovation and technology transfer. The purpose of the Paper is to identify qualitative relationships between innovation and technology transfer. The review of innovation, technology and technology transfer definitions and focus group discussion were used to formulate the research question: What are the relationships between innovation and technology transfer? The qualitative content analysis research approach was used to analyze the obtained data from the focus group discussion. The systematic search of scientific literature was performed to collect the existing review papers on innovation and technology transfer classifications. Another focus group discussion was conducted to confirm the obtained results. This research shows that three different kinds of relationships between innovation and technology transfer may be identified. Perspective of innovation and technology transfer overlap may be considered as the dominant within a society
Perspectives on Innovation and Technology Transfer
No full textAbstractIn an effort to understand development of economics, research fields such as innovation and technology transfer have emerged. Growing competition determines the importance of innovation and technology transfer. The purpose of the Paper is to identify qualitative relationships between innovation and technology transfer. The review of innovation, technology and technology transfer definitions and focus group discussion were used to formulate the research question: What are the relationships between innovation and technology transfer? The qualitative content analysis research approach was used to analyze the obtained data from the focus group discussion. The systematic search of scientific literature was performed to collect the existing review papers on innovation and technology transfer classifications. Another focus group discussion was conducted to confirm the obtained results. This research shows that three different kinds of relationships between innovation and technology transfer may be identified. Perspective of innovation and technology transfer overlap may be considered as the dominant within a society
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
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