1,721,201 research outputs found
Three Essays on Entrepreneurial Challenges: Dual-Mission Funding and Collaborative Innovation
No full textEntrepreneurship requires addressing diverse external pressures as startups pursue growth. This dissertation studies three critical challenges faced by entrepreneurs: the impact of large incumbents, the difficulties in securing funding for ventures with dual missions, and the complexities of managing intellectual property (IP) in collaborative open-source communities. The first study investigates how large incumbents’ mergers and acquisitions (M&As), and corporate venture capital investments (CVCs) shape market-level startup activities along the artificial intelligence (AI) technology evolution. The findings highlight the dual role of incumbents in creating opportunities for innovation while potentially limiting competition, emphasizing the dynamic relationship between large corporations and startup innovation along the technology maturation. The second study focuses on sustainability-driven (SD) ventures that balance economic goals with societal impact. These ventures often experience funding delays as their dual mission challenges traditional VC evaluation processes and raises agency concerns. By analyzing a global dataset, this study identifies factors that mitigate these delays, offering practical insights into how SD ventures can secure funding more efficiently and scale their innovative solutions to address pressing environmental and social challenges. The third study looks into governance in open-source software (OSS) startups, emphasizing how intellectual property (IP) strategies serve as strategic human resource tools to influence contributor participation, which directly impacts startup performance. Decisions such as implementing Contributor License Agreement (CLA) and selecting Open-Source License (OSL) type are critical in influencing collaboration and innovation within the OSS community. The findings highlight the essential role of balancing governance control with community engagement to effectively manage human resources, so that maintaining a competitive edge. Together, these three studies provide a multidimensional perspective on entrepreneurship, revealing how startups strategically handle with external pressures to sustain growth and innovation
Big tech, small tech, and the dynamics of technology life cycle: the case of AI’s evolution
No full textWe investigate the dynamic interplay between large incumbents (particularly Big Techs) that engage in corporate venture capital (CVC) investments and mergers and acquisitions (M&A), venture capital (VC) that finances startups, and startups that enter and exit the market. We aim to investigate the intricate mechanisms linking incumbents’, VCs’, and startups’ activities and affecting the technology life cycle. Theoretically, we build on previous research pointing to the “kill zone” and “innovation zone” effects of incumbents’ M&A activities, enlarging the analysis to CVC activities and moving from static to dynamic effects. Empirically, we juxtapose our findings from the Artificial Intelligence (AI) technology space with established frameworks of technology and industry evolution. Our research underscores the multifaceted roles played by incumbents in shaping the innovation ecosystem, especially within rapidly evolving domains like AI
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
No full textWe 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
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