1,721,015 research outputs found
FinTech, BigTech and Banks. Digitalisation and its Impact on Banking Business Models
This Palgrave Pivot analyses the evolution of strategies and business models adopted by financial operators that employ technological solutions to deliver financial products and services. The analysis is performed on a proprietary dataset built on
different sources that highlight important differences in strategical approaches taken by FinTech companies, TechFin and BigTech, and banks (traditional and digital native).
For each type, the authors underline their distinctive patterns, strengths and weaknesses. The main focus of the analysis in on the European market that is investigated also in the light of the difference and similarities with other markets (such as US and China).
This book addresses this and would appeal to academics, researchers and students of banking, FinTech and financial innovation alongside policy makers, regulatory authorities, FinTechs and banks
The value propositions of Smart City Mobility projects
Public city administrators who have been seeking to reduce traffic congestion and pollution, while improving livability and economic competitiveness, via increased investment in promising Smart City (SC) Mobility solutions. However, despite scholarly interest and booming market of solutions and technologies, there is still the need to unlock the value that SC Mobility projects can bring and to understand how these projects define and deliver value. To this end, this study presents an empirical analysis of 300 mobility projects internationally. Projects are scrutinized according to a business model framework and the variety of project characteristics are analyzed. Classification of business modeling characteristics of SC Mobility projects is given, illustrating the main benefits and objectives of smart mobility projects and how such value is generated and distributed among stakeholders. The resulting implications are two-fold. First, it helps scholars with a common business model reference to evaluate SC Mobility projects. Second, it supports the decision-making processes of both public and private organizations and acts as a best practice guide for design and implementation of innovative SC Mobility projects
How do smart building projects define and deliver value? A classification of business modelling characteristics to support design and development
Both public administrations and real estate developers have been investing in innovative Smart Building projects to reduce energy consumption while improving housing quality and occupant comfort. Despite a booming market and an ever-growing academic interest in Smart Building technologies, few studies are available to understand the value generated by Smart Building projects and how these initiatives are able to achieve business success and distribute value to their stakeholders.
To fill this gap, this study presents an empirical analysis of 300 Smart Building projects implemented internationally. The projects’ characteristics have been analyzed on a business model framework in order to identify general concepts and discarding redundant information. The result of this effort has been a classification of business modelling characteristics able to illustrate the main value and business objectives pursued by Smart Buildings projects and the strategies through which these projects distribute and deliver value to their customers and stakeholders.
This study presents two main implications. First, it helps scholars in their study on the development and implementation of Smart Building projects. Second, it supports the decision-making processes of both public and private developers acting as a collection of best practices for the design and development of Smart Building initiatives
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
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