1,720,970 research outputs found
New value creation opportunities for Start-ups with I4. 0: resources and capabilities capitalisation and effects on the Value Chain
Purpose of the paper: this research aims to investigate how I4.0 enables new
opportunities of value creation for start-ups using internal or external resources and
capabilities related to Industry 4.0 (I4.0).
Methodology: we use a qualitative case study research approach, mainly because
of the exploratory nature of the research and the newness of the analysed trend.
Results: the research points out three possible opportunities for starting new
businesses: using a mix of internal and external resources/capabilities (Grafting 4.0),
a combination, coordination and management of external resources and capabilities
(Pollination 4.0), or internal resources and capabilities with a comprehensive 4.0
approach (Blooming 4.0). For each of them the required 4.0 technologies and the new
paradigm’s application are examined.
Research limitations: The analysed cases are all based in Italy, for a better
validation it would be interesting to expand the study to other countries.
Practical implications: this paper may be helpful for prospective entrepreneurs
that should ask themselves which kind of opportunity they could grab in consideration
of the internal and external resources and competencies.
Originality of the paper: to the best of our knowledge this paper is amongst the
first ones analysing the opportunities given by I4.0 to start new businesse
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Variations on the Author
“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
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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
A probabilistic simplified seismic model of masonry buildings based on ambient vibrations
The paper presents a new simplified mathematical model for predicting the structural seismic response of buildings. The model, denominated Seismic Model from Ambient Vibrations (SMAV), is based on the experimental modal parameters identified from ambient vibration and only a few information about the geometry and the structural typology of the building. After a short review of the Multi Rigid Polygons model, recently illustrated and validated in an other paper by some of the authors, that allows to estimate the seismic participation factors of the experimental modes also for buildings characterized by complex shaped plan and structural irregularity along the height, the attention is focused on a new stochastic approach for modeling the seismic response of masonry buildings. In particular this new approach aims to take into account the non linearity occurred during a seismic event so that the nonlinear behaviour of the building is considered by reducing its modal frequencies according to the response amplitude. The reduction of the natural frequencies, extracted by Operational Modal Analysis from ambient vibrations, is computed according to specific probabilistic curves: the Frequency Shift Curves (FSCs). This curves provide the percentage reduction of the natural frequencies as a function of the maximum roof drift reached during the strong motion and they are obtained, for some specific masonry typologies, through a Monte Carlo analysis carried out using a simple mechanical model of a masonry panel with geometric and mechanical parameters that vary according to their probabilistic distributions. The seismic response of the building is then computed through a linear equivalent analysis in which an iterative algorithm updates the resonant frequencies according to the specific FSC curve. The concept of structural serviceability index (IOPS), expressing the probability of the building to remain operational, is also introduced. Finally, a comparison between the seismic response computed by the model and the experimental seismic response of the Pizzoli town hall, a masonry existing building endowed with a permanent accelerometer monitoring system, is illustrated
Consumer perception of and involvement in healthy and sustainable eating: A cross-sectional study with American consumers
Global rising concerns about non-communicable diseases and the environmental impact of food production require a call for action that involves a deeper understanding of how individuals make choices for healthy and sustainable diets. To further explore this topic, our study aimed at investigating how food involvement, perception, and sociodemographic factors influence the adoption of healthy and sustainable eating by using a socio-psychological model. Data were collected from a representative sample (n = 1001) of the US population using an online survey and linear regression models were employed to test the hypotheses of our theoretical framework. The main findings indicated a positive influence of involvement in and perception of self-reported behaviors towards both sustainable and healthy eating. However, contrasting results were identified for the moderating role of perception, which had a significant and positive moderating effect between involvement and self-reported eating for sustainable diets only. Regarding sociodemographic characteristics affecting healthy dietary behaviors, our model suggested that age, employment status, dietary regimen, and BMI influence consumers’ self-reported healthy behaviors. Based on our findings, tailored strategies for policymakers and marketers are suggested. These strategies include education campaigns, widespread availability of sustainable products, and easily identifiable labeling systems
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