1,720,987 research outputs found
Strategic Analysis of E-Trade Platforms in Automotive Spare Part Sector: a T-Spherical Fuzzy Perspective
No full textChatterjee, Prasenjit/0000-0002-7994-4252; Aytekin, Ahmet/0000-0002-1536-7097; Korucuk, Selcuk/0000-0003-2471-1950; Pamucar, Dragan/0000-0001-8522-1942E-trade platforms are software applications that enable businesses to conduct online sales and manage their digital storefronts. These platforms provide a range of tools and features to facilitate the creation, operation, and management of an online business. This study comprehensively evaluates e-trade platforms within the automotive spare parts industry, examining various critical aspects to identify the optimal platform. The evaluation includes an in-depth analysis of the current state of the platforms, exploration of potential strategies and approaches for improvement, and identification and analysis of challenges and barriers. To address these issues, the study employs problem-solving within the framework of expert evaluations based on criteria defined by an extensive literature review. T-Spherical fuzzy (T-SF) subjective weighting approach and T-SF-weighted aggregated sum product assessment (WASPAS) method are used for this purpose. The analysis reveals that "security" is the most crucial criterion, with Amazon emerging as the most prominent e-trade platform. The findings indicate that prioritizing security, discounts, and delivery time will enable e-commerce platforms to gain a competitive edge. The study evaluates international e-commerce platforms, identifying weaknesses in critical business areas key competitive advantage factors, and offering forward-thinking recommendations. This research has significant implications for the rapid and effective development of logistical partnerships with e-trade platforms across various industries. Additionally, it serves as a foundational basis and template for future research in the ecommerce sector, particularly within the automotive spare parts industry.Science Citation Index Expande
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
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
Precision agriculture for sustainability. Use of smart sensors, actuators, and decision support systems
No full textThis book provides a comprehensive exploration of the aspects of the current state-of-the-art digital technological intervention for precision agriculture for sustainable agricultural development. It delves into how modern technologies—i.e., global positioning systems (GPS), unmanned aerial vehicles (drones), image processing methods, artificial intelligence, machine learning, and deep learning—are being used in agriculture to make it more farmer-friendly and more economically profitable.The volume discusses the use of smart sensors, actuators, and decision support systems for precision agriculture that provide intelligent data about crop health and for monitoring for yield prediction, soil quality, and nutrition requirement prediction, etc., using machine learning, deep learning, and artificial intelligence through a globally connected system via the Internet of Things (IoT).The book begins with a section on AI in agriculture that looks at using satellite data for vegetation studies, AI-based solutions to increase farmer income, satellite images for yield prediction using machine learning algorithms, and more. The second section presents robotic-based innovations in agriculture, including agricultural field robots, along with cobots (computer-controlled robotic devices designed to people) used in and outside farms and greenhouses, methods for continual robotic monitoring of crops, robot-based weed identification and control systems, and more.The section on intelligent computing in agriculture looks at soft computing methodologies and frameworks for yield forecasting for crop production, machine learning techniques to classify and identify plant diseases, machine learning algorithms to analyze all factors affecting crop yield and the climatic effect on produce, deep convolutional neural networks (DCNNs) for recognizing nutrient deficiencies, etc. The last section explores IoT in agriculture and provides an overview of the research that has gone into making smart precision agriculture a reality, IoT applications for smart garden plantation condition monitoring, smart agriculture that makes use of cloud computing and IoT, and much more.The book covers artificial intelligence in agriculture, robotic-based innovations in agriculture, intelligent computing in agriculture, and the Internet of Things in agriculture, providing a rich resource on this exciting and developing area
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