1,720,956 research outputs found
Mobile Commerce Application Development and Implementation
Get PDFThe relationship with technology has totally changed because of mobile applications, which give solid and versatile apparatuses to improve communication, diversion, and efficiency. In this study report, the assessment takes a gander at the best practices from top to base for creating and carrying out mobile apps. This study plans to reveal insight into the generally acknowledged techniques presently being used and investigate the difficulties related with creating mobile applications, which vary from creating customary venture applications. Accordingly, an internet-based overview from the mobile imaginative workspace was finished. The survey questions enveloped the whole lifecycle of fostering a mobile application, from prerequisites for social events to posting a completed item for public deal. Through the investigation of genuine issues experienced and the investigation of best practices that can be really applied to overview, assess, and support the appropriateness of the association, this study adds to how we might interpret the mobile application development process. These outcomes could likewise be seen as an anticipated field of examination delineating the broadness of the field. This' article will probably give specialists and accomplices associated with mobile app development with helpful guidance by consolidating pieces of data from insightful examination with industry best practices. Eventually, our examination progresses the comprehension of the subject and gives shrewd data that will direct further exploration and headways in the plan and utilization of mobile applications
Leveraging Machine Learning for Predictive Analytics in Ecommerce
Get PDFPredictive analytics is becoming more and more necessary for organizations to use in the quickly changing e-commerce industry in order to predict customer behaviour, optimize marketing campaigns, and improve overall operational efficiency. The goal of this research study is to strengthen predictive analytics in the e-commerce industry by utilizing machine learning approaches.AI is essential for the business analyst's ability to make predictions. AI is a rapidly developing field that is employed in all fields, particularly in data analysis and prediction. In this study, machine learning—a subset of AI—is used for this purpose. The paper's goal is to determine the potential for growth and application of e-commerce in the future. In order to provide a clear explanation, we have used secondary data on the market value of e-commerce as a basis to support the income generated by e-commerce, and online consumers are taken to understand the total contribution of the e-commerce sector in India, then attempted to use Python to determine the forecast for the following years, 2024 to 2026. The current study aims to improve the accuracy of market value projection by using two more factors: the percentage of Indian online shoppers and e-commerce revenue. This paper attempts to offer practical suggestions and best practices for e-commerce practitioners and decision-makers wishing to leverage machine learning for predictive analytics by combining insights from both academic research and industry operations. In the end, the study advances our understanding of e-commerce analytics and establishes the groundwork for more in-depth investigation and creative thinking in this area
Conversational Commerce Blueprint: Strategy, Architecture, and Implementation for the Modern Digital Marketplace
Get PDFThis research & Implementation scrutinizes the strategy and application of conversational commerce along with special emphasis on variables affecting consumer happiness and transactional success. A mixed-methods approach in the study was carried out to find out the effectiveness metrics of user experience, effectiveness of AI tools, various techniques for personalization, and level of interaction with e-commerce websites. Key findings show that, respectively with 85% and 78% of respondents ranking these features as important, simplicity of use and rapid response times are crucial. Hybrid chatbots, combining AI with human interaction, produce the highest rated customer satisfaction ratings. Moreover, product personalization increases user interaction by leaps and bounds, and the completion rates for transactions are higher with full integration of conversational tools with the current systems of e-commerce. This result does make the case for an overall approach that puts a premium on accessible design, effective AI deployment, and tailored experience to succeed in conversational commerce
A Comprehensive Insight into Cloud Robotics, Digital Transformation, Automation, and Technological Innovation
Get PDFCloud robotics is the integration of cloud computing technology and robotics. Digital transformation is defined as the process of implementing technology in various fields of industry and automation is defined as the process of automating a task using technology. Technological innovation defines the improvements in technology that can be used in industries and other aspects of life. From the study, it can be seen that all these concepts are associated closely and their implementation will help in the development of various industries and fields. The aim of the study is to provide a comprehensive overview of cloud robotics, digital transformation automation and technological innovation which can serve as a repository to researchers. For this study, the systematic literature review methodology was adopted to gather the necessary studies from the years 2015 to 2021. Using this study, researchers can gather various details without having to search the vast collection of studies, books, journals etc. The study also provides additional information like advantages, challenges, applications, etc associated with the topics
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
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