1,721,030 research outputs found
Impacts of the Digital Economy
No full textThis chapter examines changes in innovation and competition made possible in two traditional industries by the adoption of integrated information and communication technologies. Using empirical interview-based research the chapter highlights the importance of consumer-driven innovation. The development of complex innovation networks to supply consumer needs is demonstrated using two example sectors, the UK magazine publishing and grocery retailing industries. The innovation process is outlined in detail and the importance of linkages to the end-consumer and market experts is acknowledged. In addition, this chapter offers the concept of “life-span” goods as those developed from the outset as having a short life dependent on changing consumer tastes and fashions. Within this environment firms act more as project orchestrators, using core skills in developing innovation teams based on a deep knowledge of consumer activities. Finally the chapter concludes by examining the challenge to economic analysis and to the theory of the firm provided by shifting and temporary alliances.</jats:p
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
Development of outsourcing theory and practice: A taxonomy of outsourcing generations
No full textThis chapter tracks the evolution of outsourcing theory and practice in order todevelop a taxonomy of outsourcing generations. Our taxonomy identifies threegenerations, distinguished according to several definitional criteria: key drivers,outsourcing activities, relational features, critical success factors and performancemeasurement. Case study evidence consistent with the taxonomy proposed provides support to its efficacy as a valuable analytical platform for the study of outsourcing as a dynamic construct
Design and Implementation of Computer and Network Forensics Framework
No full textDoctor of Philosophy -CSEWith an exponential increase in the data size and complexity of various seized items to be investigated, existing methods of network and computer forensics are not very efficient when it comes to dealing with accuracy and detection ratio. Till the time a well-established forensic technique is developed to handle security threats, a much more sophisticated attacks strike on network. Traditional Intrusion Detection Systems (IDS) and forensics techniques used to detect and prevent malicious network behaviours, fail to handle new or zero day attacks. The accuracy of Intrusion Detection Systems (IDS) and Intrusion Prevention Systems (IPS) is questionable, which can’t be trusted for forensics. Another important drawback with the exiting techniques, is their inability to tackle high velocity and huge amount of heterogeneous data.
Cyber forensic investigation mechanism has volume constraint, while processing the fast growing data from Information and Communication Technology (ICT) infrastructure, including IoT based devices and platforms. Non-tangible sources often don’t have the limit of flowing data through them, especially through communication media. Hence, increasing the desperate requirement for an efficient benchmarking of big data analysis. Existing techniques exhibit inherent limitations in processing huge volume, variety, and velocity of data. It makes the process time-consuming and resource intensive. Available solutions to date have used an anomaly-based approach or have proposed approaches based on the deviation from a regular pattern. To tackle the seized bytes, authors have proposed an approach for big data forensics, with efficient sensitivity and precision.
In order to maintain a balance between processing time and output efficiency, existing techniques put a limit on the amount of data under analysis, which results in a non-polynomial time complexity of these solutions. In this thesis, a scalable, practical framework to overcome the limitation to handle large volume, variety, and velocity of data, is proposed. The proposed architectural setup consists of the MapReduce framework on top of the Hadoop Distributed File System environment.
The proposed framework demonstrates its capability to handle issues of storage and processing of big data using cloud computing infrastructure. In the presented work, a
generalized forensic framework has been proposed that use Google’s programming model, MapReduce as the backbone for traffic translation, extraction, and analysis of dynamic traffic features. For the proposed technique, authors have used open source tools like Hadoop, Hive, and Mahout and R. Apart from being open source, these tools support scalability and parallel processing. Also, comparative analysis of globally accepted machine learning models of P2P malware analysis in mocked real-time is presented. Supervised machine learning (Random Forest based Decision Tree) algorithm has been implemented to demonstrate better sensitivity and specificity. For training and validating the model, CAIDA dataset [1] along with university network traffic samples from GitHub [2], with increasing size, has been taken. Results thus obtained confirm the superiority of the proposed framework, with an accuracy of 99%. The work encompasses computer and network forensics, which is being referred as cyber forensics, collectively in this thesis, due to the nature of the data being dealt and experimented
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
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
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
- …
