1,720,967 research outputs found
A Rejoinder to “Reconsidering Counting Articles in Ranked Venues (CARV) as the Appropriate Evaluation Criteria for the Advancement of Democratic Discourse in the IS Field”
Get PDFWe agree with Cuellar et al.’s (2019) main premise that, for a research field to advance, scholars must be able to openly exchange ideas. For such an open exchange to exist, the contexts and methods that evaluate scholarly output must encourage this interchange. Cuellar at al. argue that the current process for evaluating scholarly output (which they call “counting articles in ranked venues” (CARV)) creates pressures that result in a distorted discourse that inhibits the field’s growth. In this article, we extend the conversation by adding clarifications, further insights, raising questions, and providing different solutions. Specifically, for the sake of logical clarity of the ensuing debate, we separate individual research contribution (IRC) and field research discourse (FRD). We explain and clarify the pairwise relationships between CARV and IRC and between CARV and FRD in order to discuss the role of CARV or lack thereof in assessing research contribution and discourse. We posit that CARV may assess IRC but not FRD and offer insights into how to improve IRC and FRD. We provide anecdotal evidence that a CARV-free world could exist but that it would entail high agency cost. We also offer an alternative solution that could supplement or substitute CARV. We conclude that any attempt to measure IRC without adequately incorporating attributes of FRD habitat is destined to be flawed
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
The Role of Ambiguity in the Transfer of Knowledge Within Multi-Organizational Networks
No full textOrganizations join multi-organizational networks in part to mitigate environmental uncertainties and to access knowledge. However, the transfer of knowledge cannot be assumed simply as a function of network membership. Researchers in the area of knowledge management have identified several factors that have been found to affect the transfer of knowledge within, between, and among organizations. This chapter investigates specifically how organizational ambiguity impacts the transfer of knowledge within multi-organizational networks. The authors explore the effects of casual ambiguity, defined as the ambiguity relateaad to imputs and factors, in a multi-organizational context, and discuss the existence of a previously undefined ambiguity, the ambiguity related to outcomes or outcome ambiguity. The authors provide a discussion on why outcome ambiguity is particularly relevant when multiple organizations are engaged in a network, where the objective is access to knowledge
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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