1,720,956 research outputs found
Blockchain Startups Competitive Ecosystem from the New Entrants’ Point of View: A Network-Based Empirical Analysis
Abstract
This dissertation investigates how early-stage startups in emerging markets navigate uncertainty and attract funding through narrative strategies, structural positioning, and ecosystem dynamics. Drawing on a panel of over 2,000 blockchain startups active between 2008 and 2023, the three essays examine how ventures gain visibility and legitimacy in the absence of mature institutional frameworks. Essay 1 contributes to legitimacy theory by showing that the effects of entry timing and narrative conformity on funding are shaped by subfield-level crowdedness following an inverted U-shaped pattern and by cross-ownership structures, in which shared investor ties amplify the credibility of early entrants. Essay 2 offers a descriptive account of cross-ownership-based communities, revealing persistent and thematically coherent clusters that vary by geography, funding stage, and blockchain application domain. This essay advances research on entrepreneurial ecosystems by highlighting the meso-level role of structural affiliations in shaping startup positioning and visibility. Essay 3 extends optimal distinctiveness theory by demonstrating that the funding benefits of narrative distinctiveness depend on two linguistic boundary conditions: lexical diversity and topic entropy. While distinctiveness generally enhances funding prospects, its effects are weakened when conveyed through overly complex or diffuse language. Together, the essays underscore how startups, once active in emerging markets, can improve their resource acquisition prospects by crafting interpretable narratives and embedding themselves in structurally advantageous cross-ownership networks, with implications for entrepreneurship, innovation strategy, and information systems research
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
Too much Patching? Protocological Control and Esports Player Counts
This study examines the impact of game patches on player and viewer counts in esports, specifically focusing on DotA 2 from 2013 to 2024. Patches, essential for maintaining game balance and introducing new content, also serve as tools for protocological control, compelling players to adapt to enforced updates and impacting their engagement. Through econometric analysis, including Interrupted Time Series (ITS) and Generalized Least Squares (GLS) models, this study explores the immediate and sustained effects of patches. Findings reveal that major patches significantly boost player counts, while frequent minor patches lead to a decrease, hinting at player fatigue. Viewer counts initially decline post-patch and then recover, suggesting a temporary shift from watching to playing. These results highlight the nuanced dynamics between game updates and player/viewer engagement, offering practical insights for game developers and contributing to the literature on digital design and protocological control in esports
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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.
Author-wise bibliometric analysis based on entropy.</p
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