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Relevant bibliographies by topics / Crunchbase

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Journal articles

Academic literature on the topic 'Crunchbase'

Author: Grafiati

Published: 16 June 2021

Last updated: 6 February 2022

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Journal articles on the topic "Crunchbase"

1

Feldmann, Louise Mort. "TechCrunch and CrunchBase." Charleston Advisor 17, no. 3 (2016): 34–37. http://dx.doi.org/10.5260/chara.17.3.34.

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2

Ingham, Alexander, and Leah Kodner. "PrivCo versus Crunchbase." Journal of Business & Finance Librarianship 22, no. 3-4 (2017): 250–52. http://dx.doi.org/10.1080/08963568.2017.1372019.

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3

Färber, Michael, Carsten Menne, and Andreas Harth. "A Linked Data wrapper for CrunchBase." Semantic Web 9, no. 4 (2018): 505–15. http://dx.doi.org/10.3233/sw-170278.

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4

Liang, Yuxian Eugene, and Soe-Tsyr Daphne Yuan. "Predicting investor funding behavior using crunchbase social network features." Internet Research 26, no. 1 (2016): 74–100. http://dx.doi.org/10.1108/intr-09-2014-0231.

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Purpose – What makes investors tick? Largely counter-intuitive compared to the findings of most past research, this study explores the possibility that funding investors invest in companies based on social relationships, which could be positive or negative, similar or dissimilar. The purpose of this paper is to build a social network graph using data from CrunchBase, the largest public database with profiles about companies. The authors combine social network analysis with the study of investing behavior in order to explore how similarity between investors and companies affects investing behav

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5

Żbikowski, Kamil, and Piotr Antosiuk. "A machine learning, bias-free approach for predicting business success using Crunchbase data." Information Processing & Management 58, no. 4 (2021): 102555. http://dx.doi.org/10.1016/j.ipm.2021.102555.

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6

Chae, Bongsug (Kevin), and Gyuhyeong Goh. "Digital Entrepreneurs in Artificial Intelligence and Data Analytics: Who Are They?" Journal of Open Innovation: Technology, Market, and Complexity 6, no. 3 (2020): 56. http://dx.doi.org/10.3390/joitmc6030056.

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Digital technologies are key resources for entrepreneurial activities and there is great interest in digital entrepreneurship. While much research has focused on the role of digital technologies in entrepreneurship and how they are shaping the field, there has been relatively little research on those key players of digital entrepreneurship. Using data from Crunchbase and Twitter API and a learning machine, this study attempts to answer the question of “who are digital entrepreneurs?” This study reports that digital entrepreneurs in the artificial intelligence and data analytics (AIDA) industry

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7

Kézai, Petra Kinga, Szabolcs Fischer, and Mihály Lados. "Smart Economy and Startup Enterprises in the Visegrád Countries—A Comparative Analysis Based on the Crunchbase Database." Smart Cities 3, no. 4 (2020): 1477–94. http://dx.doi.org/10.3390/smartcities3040070.

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The present study seeks to explore the concept of “smart economy” through the definition of the smart city. It also presents smart city subsystems and the smart city model. It focuses on smart and creative startups within the smart city model. The research examines medium-sized cities in the Visegrád countries (Czech Republic, Slovakia, Poland, Hungary) with a population ranging from 100,000 to 1 million inhabitants for startups. The research question is: Where are the medium-sized cities in the Visegrád countries that are both startup centers and smart cities? In the course of the research, t

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8

Bishop, Alex, and Juan Mateos-Garcia. "Exploring the Link Between Economic Complexity and Emergent Economic Activities." National Institute Economic Review 249 (August 2019): R47—R58. http://dx.doi.org/10.1177/002795011924900114.

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Recent studies have shown a strong link between the complexity of economies and their economic development. There remain gaps in our understanding of the mechanisms underpinning these links, in part because they are difficult to analyse with highly aggregated, official data sources that do not capture the emergence of new industrial activities, a potential benefit from complexity. We seek to address some of these gaps by calculating two indices of economic complexity for functional local economies (Travel to Work Areas) in Great Britain, and explore their link with these locations’ economic pe

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9

Yang, Song, and Ron Berger. "Relation between start-ups’ online social media presence and fundraising." Journal of Science and Technology Policy Management 8, no. 2 (2017): 161–80. http://dx.doi.org/10.1108/jstpm-09-2016-0022.

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Purpose The purpose of this study is to examine the emergences of social media such as Facebook, Twitter and Instagram have changed the way human beings communicate and interact. In the past few years, this has become crucial in the context of business, especially in start-up fund raising. Access to venture capital financing is a crucial issue in the entrepreneurial finance literature. To further explore the use of social media for entrepreneurs, the authors have explored how entrepreneurs use social media for fund-raising purposes. The authors have used Application Programming Interfaces (API

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10

Amoroso, Nicola, Loredana Bellantuono, Alfonso Monaco, Francesco De Nicolò, Ernesto Somma, and Roberto Bellotti. "Economic Interplay Forecasting Business Success." Complexity 2021 (March 19, 2021): 1–12. http://dx.doi.org/10.1155/2021/8861267.

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A startup ecosystem is a dynamic environment in which several actors, such as investors, venture capitalists, angels, and facilitators, are the protagonists of a complex interplay. Most of these interactions involve the flow of capital whose size and direction help to map the intricate system of relationships. This quantity is also considered a good proxy of economic success. Given the complexity of such systems, it would be more desirable to supplement this information with other informative features, and a natural choice is to adopt mathematical measures. In this work, we will specifically c

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