1,720,953 research outputs found
Data-drivenness: (big) data and data-driven enterprises - A multiple case study on B2B companies within the telecommunication sector
Full text linkIn the digitalization era where increasingly larger amount of data is created every day, companies have a great opportunity at their disposal: data-drivenness. It essentially implies that enterprises can exploit big data through Big Data Analytics (BDA) in order to gather relevant insights for their decisions. However, the author realized the presence of little qualitative and scientific studies on data-drivenness as well as a major focus on US companies. Hence, this study aims at qualitatively exploring how enterprises are dealing with data-drivenness and how these are changing to become data-driven. It consists of a multiple case study on four Swedish-based B2B enterprises within the telecommunication sector. This choice seems to be intriguing for two main reasons. On one hand, B2C companies are often conceived as data-driven given their larger consumer base. But what about B2B ones? On the other hand, companies operating in the telecommunication sector are the building blocks of digital revolution that is the engine for the creation of data. But are they also exploiting data insights to run their businesses?
The findings from the study revealed that case companies are aware of what a data-driven enterprise is, and which are the elements characterizing it. First and foremost, big data and BDA are at the basis, not so much for the amount but for the ability of companies to combine various sources of data to generate actionable insights. However, data-drivenness results to be implemented at different degrees within case companies, mainly because of their different size and key characteristics. Moreover, for these having the target of full data-drivenness, some critical challenges preventing it are highlighted such as data quality issues, investments in human skills and technologies and the overall process of change. In particular, the last is undertaken by companies to become data-driven and respond to external influence and pressure from competition. In this regard, change entails tangible and intangible modifications that often encounter some resistance. De facto, it is plausible to believe that companies decide to start the journey toward data-drivenness in the light of opportunities connected to it such as the possibility of taking more accurate decisions (strategic and/or operational), finding innovation avenues and following market trends that might result in improving enterprise’ competitive position. Finally, the research reveals that data-drivenness is a hot topic and the future prerequisite for companies to survive in an increasing digitalized and evolving world
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
Time lapse near surface geophysical monitoring over simulated clandestine burials of murder victims
Full text linkLAUREA MAGISTRALEL’attività di ricerca presentata in questa tesi è coinvolta in un progetto di monitoraggio a lungo termine svolto presso Keele University (Staffordshire, UK) che mira a migliorare l' attuale comprensione nell’individuazione di sepolture clandestine di vittime di omicidio tramite indagini geofisiche di resistività elettrica e di fornire alle squadre di ricerca di medicina legale del NPIA (U.K. National Police Improvement Agency) dati di un monitoraggio geofisico sistematico per il confronto con casi applicativi. Indagini geofisiche di resistività sono state condotte su un sito di prova con sepolture simulate adottando due tipologie di esperimenti: resistività ad offset costante e Imaging di resistività elettrica. In entrambi gli esperimenti, la sepoltura simulata è inizialmente associata ad un’anomalia di bassa resistività, indicando che è principalmente causata da un aumento della conduttività dell’acqua freatica causato dal liquido di decomposizione del cadavere sepolto. L'anomalia viene poi osservata variare, diventando progressivamente non rilevabile e successivamente appare come un’anomalia ad alta resistività: i fluidi di decomposizione sono diffusi nel terreno circostante mentre lo scheletro, che è altamente conduttivo rispetto ai valori di fondo, viene rilevato come un'anomalia ad elevata resistività. La mancata individuazione della sepoltura vuota, contenente il solo terreno disturbato, suggerisce che esso non contribuisca all’anomalia in corrispondenza della sepoltura. Nello stesso esperimento si è constatato che avvolgere un cadavere prima della sepoltura può influenzare risposta in resistività: la sepoltura contenente il cadavere avvolto in un telo è associata ad un’anomalia ad elevata resistività. Il telone limita il rilascio del fluido di decomposizione nel suolo ed impedisce il flusso di corrente elettrica nel terreno.
Ulteriori analisi sulle statistiche dei dati hanno indicato che i responsi sono influenzati da fattori ambientali legati al contesto: la variabilità del bilancio di umidità del terreno e l'apparato radicale esistente possono diminuire la rilevabilità del bersaglio.
Le indagini geofisiche di resistività sono in grado di rilevare le sepolture simulate con efficacia variabile nel tempo trascorso dalla sepoltura ed i metodi testati forniscono un’informazione complementare sul sottosuolo. E' quindi fondamentale essere consapevoli del tipo e dell'entità dell'anomalia attesa in base al target ricercato.This thesis is involved in a long-term monitoring project carried out at Keele University (Staffordshire, UK): the aim is to improve the current understanding of the detection of clandestine graves of murder victims with geophysical electric resistivity surveys and to provide forensic search teams of the NPIA (U.K. National Police Improvement Agency) with systematic geophysical monitoring data over simulated burials for comparison to active cases. Resistivity surveys were conducted over a test site in two controlled experiments: Constant Offset Resistivity and Electrical Resistivity Imaging. In both experiments, grave containing pig cadaver is initially associated with low resistivity anomaly, indicating it is primarily caused by increased soil-water conductivity which is suggested to be caused by decomposition fluid from the buried cadaver. The anomaly is then observed to vary, becoming progressively undetectable and later an increasing high resistivity anomaly appears: the decomposition fluids are widespread into the surrounding soil while the skeleton, which is highly conductive with respect to the background values, is detected as a high resistance anomaly. The non-detection of an ‘empty grave’, containing only disturbed soil suggests that disturbed soil do not contribute to the grave-related anomaly. In the same experiment, it was found that wrapping a cadaver prior to burial can influence a grave’s resistivity response, as a grave containing a cadaver wrapped in tarpaulin is generally associated with a high resistivity anomaly. This is suggested to be because the tarpaulin restricted the release of decomposition fluid in the soil and the wrapped cadaver subsequently impeded the flow of electrical current in the ground.
Further analysis on data statistics indicated that the resistivity responses were influenced by environmental influences: the variability of the soil moisture budget and the existing tree root system can diminish the detectability of the target.
Resistivity surveys are able to detect the simulated graves with variable effectiveness over time post burial and the tested methods provide a complementary information about the subsurface. It is then fundamental to be aware of the type and magnitude of the anomaly to be expected
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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