1,720,958 research outputs found
Phenomenon of “born globals” in the internationalization of small and medium-sized enterprises in the Czech Republic
Get PDFThe article aims to depict the typical features of the internationalization of small and medium-sized enterprises from the perspective of research conducted and available sources, from 1989, and their assessment in connection with the "born globals" phenomenon. The outcome of individual studies conducted in the Czech Republic suggests there is a certain set of typical features, referred to as a western pattern of globalization. The western pattern of globalization is characterized by gradual expansion to foreign markets. On the other hand, there is the phenomenon of „born globals", which offers an opportunity to examine this pattern of globalization of SMEs in the Czech Republic.peer-reviewe
Do gender and personality traits (BFI-10) influence self-perceived opinion leadership?
No full textPurpose of the article: Various forms of marketing communication are around for decades. But it is still more and more complicated to attract customers. One approach could be to target opinion leaders, win them, and let them communicate the marketing message instead of the company itself. This approach would require to identify opinion leaders. This paper investigates whether gender and personality traits can predict opinion leadership. Methodology/methods: The paper can be perceived as a replication in a loose sense of the term, since it replicates only a part of a previously published model and it uses fewer items to measure relevant constructs. The Big Five Inventory is measured using a 10-question instrument as opposed to a 21-question one. Opinion leadership is measured using one question instead of nine; moreover, it is investigated separately as self-perceived in the eyes of others and in one's own opinion (two variables). Generalized linear models (GLM) and Pearson product-moment correlation coefficient are used to analyze data.Scientific aim: The aim of the paper is to estimate impact of gender and personality traits on opinion leadership.Findings: Extraversion is the personality trait closest related to opinion leadership regardless whether it is self-perceived in the eyes of others or in one's own opinion. Opinion leadership in one's own opinion can be predicted even using neuroticism, and conscientiousness. The three traits are consistent with previous findings. Unlike in previous research, openness to experience was not significant. Averages of two self-evaluations are the same, although the correlation is not 1.0, but Pearson product-moment correlation coefficient is 0.7. The difference in these two evaluations is significantly influenced by openness to experience.Conclusions: From six investigated factors, extraversion has the highest influence on self-perceived opinion leadership. Since extraversion can be identified also through observation, the finding has also a practical implication.<br/
Do gender and personality traits (BFI-10) influence self-perceived opinion leadership?
No full textPurpose of the article: Various forms of marketing communication are around for decades. But it is still more and more complicated to attract customers. One approach could be to target opinion leaders, win them, and let them communicate the marketing message instead of the company itself. This approach would require to identify opinion leaders. This paper investigates whether gender and personality traits can predict opinion leadership. Methodology/methods: The paper can be perceived as a replication in a loose sense of the term, since it replicates only a part of a previously published model and it uses fewer items to measure relevant constructs. The Big Five Inventory is measured using a 10-question instrument as opposed to a 21-question one. Opinion leadership is measured using one question instead of nine; moreover, it is investigated separately as self-perceived in the eyes of others and in one's own opinion (two variables). Generalized linear models (GLM) and Pearson product-moment correlation coefficient are used to analyze data.Scientific aim: The aim of the paper is to estimate impact of gender and personality traits on opinion leadership.Findings: Extraversion is the personality trait closest related to opinion leadership regardless whether it is self-perceived in the eyes of others or in one's own opinion. Opinion leadership in one's own opinion can be predicted even using neuroticism, and conscientiousness. The three traits are consistent with previous findings. Unlike in previous research, openness to experience was not significant. Averages of two self-evaluations are the same, although the correlation is not 1.0, but Pearson product-moment correlation coefficient is 0.7. The difference in these two evaluations is significantly influenced by openness to experience.Conclusions: From six investigated factors, extraversion has the highest influence on self-perceived opinion leadership. Since extraversion can be identified also through observation, the finding has also a practical implication.<br/
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
The Application of Quantitative Methods for the Modification of a Business Model in the Digital Era, with the Support of the Maple System
Get PDFCC BY-NC-ND 4.0Businesses can gain strength and thus purposefully optimize their commercial models by means of implementing open innovations. The innovation process is increasingly conditioned by the innovative activities of customers. It is necessary to perform quick,
low-cost, and rational research so that outputs can be updated and implemented into business models in-time. Digital transformation supports these processes because it represents a
good opportunity for free spatial-temporal communication, and for the timely interaction
of the participating parties. This contribution stems from research (under the supervision of the paper’s co-author, von
Böhlen, 2021) performed in the German automotive industry, and follows up on the work
of Simberova and von Böhlen (2021). The aim is to perform further and more detailed
analyses and to interpret facts that ensue from selected research outputs.
These analyses are oriented solely towards the issue of open innovations as seen from
the customer’s perspective: innovations used for scaling business models in the automotive
industry. Focus is especially placed on factors and relationships which affect customers’
willingness to enter the open innovations process. The customer’s social status has been
taken into account. The rate and willingness of customers to engage in innovation activities has been measured – in connection with a whole range of factors, especially financial,
those based on benefits, and others. Another form of analysis was a statistical evaluation
that identified the degree of interest in some selected types of benefits. The independence of
selected agents that stem from the survey evaluation was also considered, and quantitative
methods, mainly statistical calculations, and transparent statistical visualizations were
employed for this purpose. The methods of descriptive statistics and categorical analysis
were used for processing data sets in the environment of the advanced Maple System.
These findings confirm that the customer is becoming a non-stationary and important
source of information and possibly also a source of inferences regarding open innovations.
Society is thus increasing its potential to work not only for the customer, but also with them.
It is necessary to be ready to react to current pitfalls and to communicate with the customer
continuously. Pertaining to implementing open innovations, these analyses have given interesting concrete output and findings regarding decision-making in the process of amplifying the business model in the automotive industry, as seen from the customer’s viewpoint,
and in the era of digitization. Further, they have opened a whole range of challenges related
to further analyses of the matter at hand
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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