1,720,970 research outputs found
Evaluating the sustainability impacts of the sharing economy using input-output analysis
Evaluating the sustainability impacts of the sharing economy using input-output analysis’ by Andrius Plepys and Jagdeep Singh presents key challenges associated with a systematic sustainability evaluation of access-based consumption models. Starting with a causal loop diagram representing various reported and potential impacts of a generic sharing system, the authors provide a comprehensive picture of main direct and indirect social, economic and environmental implications of the sharing economy. They also discuss the limitations in sustainability evaluations of the sharing economy, including non-transparency about methods as well as unclear system boundaries and assumptions made. An overview of the strengths and weaknesses of different modelling approaches employed for analysing the effects of sharing economy is provided. Car sharing is used as an example for demonstrating an input-output-based sustainability assessment. Implications for modelling impacts from changes in consumption patterns and from changes in production sectors are discussed. Future research directions include suggestions for improving the existing national accounting frameworks to accommodate the specifics of the emerging sharing economy, better measurements of labour inputs and annual income in the sharing economy and improving resolution and geographical and sectoral coverage of the multiregional input–output tables
The ICT role in resource conservation and rebound effects
Abstract Information and Communication Technologies (ICT) sector takes a leading role in the new Economy experiencing an unprecedented growth rate. The author discusses environmental impacts focusing on resource consumption. In spite of increasing miniaturisation and resource efficiency of electronic products their consumption is growing threatening to give rise to rebound effects in material and energy consumption. The author addresses the problem and complexity of both direct and system-level effects from the ICT sector and discusses the role of government in coping with the potential environmental impacts
Urban Sharing in Shanghai [Elektronisk resurs]
This city report is the result of a Mobile Research Lab conducted online in Shanghai during spring 2020. The Mobile Research Lab involves a combination of methods, including case studies, interviews, observations, expert panels, and in-situ field work. This report presents insights gained by the Urban Sharing research team Oksana Mont (PI), Andrius Plepys, Yuliya Voytenko Palgan, Matthias Lehner, Steven Curtis, Lucie Zvolska and Ana Maria Arbelaez Velez
Urban Sharing in Shanghai
This city report is the result of a Mobile Research Lab conducted online in Shanghai during spring 2020. The Mobile Research Lab involves a combination of methods, including case studies, interviews, observations, expert panels, and in-situ field work. This report presents insights gained by the Urban Sharing research team Oksana Mont (PI), Andrius Plepys, Yuliya Voytenko Palgan, Matthias Lehner, Steven Curtis, Lucie Zvolska and Ana Maria Arbelaez Velez
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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