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  • Search: subject:"Crunchbase"
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Year of publication
Subject
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Crunchbase 16 Business start-up 12 Unternehmensgründung 12 Risikokapital 8 Venture capital 8 Artificial intelligence 7 Künstliche Intelligenz 7 Machine learning 6 CrunchBase 4 Forecasting model 4 Prognoseverfahren 4 venture capital 4 Anlageverhalten 3 Behavioural finance 3 Business Angels 3 Business angels 3 Corporate finance 3 Erfolgsfaktor 3 Investment Fund 3 Investmentfonds 3 Startups 3 Success factor 3 Unternehmensfinanzierung 3 Big Data 2 Big data 2 Database 2 Datenbank 2 Entrepreneurial firm 2 Entrepreneurship 2 Entrepreneurship approach 2 Patent 2 Private Equity 2 Private equity 2 Startup 2 Takeover 2 accelerator 2 angel 2 big data 2 cities 2 clusters 2
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Online availability
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Free 13 Undetermined 9 CC license 5
Type of publication
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Article 15 Book / Working Paper 7
Type of publication (narrower categories)
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Article in journal 13 Aufsatz in Zeitschrift 13 Working Paper 6 Arbeitspapier 4 Graue Literatur 4 Non-commercial literature 4 Amtsdruckschrift 2 Government document 2 Article 1
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Language
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English 19 Portuguese 2 Undetermined 1
Author
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Ferrati, Francesco 3 Muffatto, Moreno 3 Almeer, Bader 2 Chiarini, Tulio 2 Choi, Yunsoo 2 Geum, Youngjung 2 Kemeny, Tom 2 Kim, Dohyeong 2 Marcato, Marília Bassetti 2 Menon, Carlo 2 Nathan, Max 2 Alessandro, Marra 1 Antonelli, Paola 1 Bekele, Negalegn Alemu 1 Besten, Matthijs Leendert den 1 Bortoluzzo, Adriana Bruscato 1 Chukavina, Kristina 1 Dalle, Jean-Michel 1 Das, Sanjiv R. 1 Frey, Martin 1 Fukazawa, Yusuke 1 Futagami, Katsuya 1 Giaquinto, Luisa Herck 1 Goodarzi, Mehdi 1 Grabner, Helmut 1 Jeon, Woojin 1 Kapoor, Nakul 1 Kim, Hongil 1 Kim, Jongwoo 1 Kim, Junhan 1 Kito, Tomomi 1 Li, Yong 1 Mario, Luciani 1 Marra, Alessandro 1 Min Du, Anna 1 Nova Filho, Marcus Vinicius Menezes da 1 Paola, Antonelli 1 Pushkarev, Andrey 1 Pyatigorskaya, Asya 1 Raza, Hussain 1
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Published in...
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The Journal of finance and data science : JFDS 3 OECD science, technology and industry working papers 2 Birmingham Business School Discussion Paper Series 1 Cogent Economics & Finance 1 Cogent economics & finance 1 Discussion paper series 1 Finance research letters 1 Foundations and trends in entrepreneurship 1 IEEE transactions on engineering management : EM 1 International journal of electronic business 1 International journal of technology marketing : IJTMkt 1 Journal of innovation and entrepreneurship : JIE 1 L'industria 1 Macroeconomics and finance in emerging market economies 1 Small business economics : an international journal 1 Technological forecasting & social change : an international journal 1 Texto para Discussão 1 Texto para discussão / Instituto de Pesquisa Econômica Aplicada 1 Venture capital : an international journal of entrepreneurial finance 1
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Source
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ECONIS (ZBW) 18 EconStor 3 RePEc 1
Showing 1 - 10 of 22
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Predicting the success of startups using a machine learning approach
Razaghzadeh Bidgoli, Mona; Vanani, Iman Raeesi; … - In: Journal of innovation and entrepreneurship : JIE 13 (2024), pp. 1-27
Successful investment in early-stage companies has high uncertainty. More specifcally, the tools available to investors need to be more robust to reduce the risk and manage the uncertainty of startups. This research aims to use machine learning methods to design a prediction solution to identify...
Persistent link: https://www.econbiz.de/10015211607
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Unlocking funding success for generative AI startups : the crucial role of investor influence
Siddik, Abu Bakkar; Li, Yong; Min Du, Anna - In: Finance research letters 69 (2024) 2, pp. 1-9
Persistent link: https://www.econbiz.de/10015191443
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Plataformização do mercado audiovisual : a indústria de streaming de vídeo no Brasil
Nova Filho, Marcus Vinicius Menezes da; Chiarini, Tulio; … - 2023
from Crunchbase. Identifying these companies makes it possible to affirm that the audiovisual video market has not remained …
Persistent link: https://www.econbiz.de/10014391435
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Topic-based classification and identification of global trends for startup companies
Savin, Ivan; Chukavina, Kristina; Pushkarev, Andrey - In: Small business economics : an international journal 60 (2023) 2, pp. 659-689
Persistent link: https://www.econbiz.de/10014381502
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Making it into a successful series A funding : an analysis of Crunchbase and LinkedIn data
Te, Yiea-Funk; Wieland, Michèle; Frey, Martin; … - In: The Journal of finance and data science : JFDS 9 (2023), pp. 1-19
alternative and complementary data source to Crunchbase for predicting startup success. We provide a comprehensive review of the … as a complementary data source, and compare them to baseline models based on Crunchbase data. We show that using LinkedIn …
Persistent link: https://www.econbiz.de/10014514009
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Plataformização do mercado audiovisual: A indústria de streaming de vídeo no Brasil
da Nova Filho, Marcus Vinicius Menezes; Chiarini, Tulio; … - 2023
from Crunchbase. Identifying these companies makes it possible to affirm that the audiovisual video market has not remained …
Persistent link: https://www.econbiz.de/10014486059
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Desirability of consumer internet of things products : how emerging businesses address consumer desires to improve user experiences
Bekele, Negalegn Alemu; Muffatto, Moreno; Ferrati, Francesco - In: International journal of technology marketing : IJTMkt 18 (2024) 1, pp. 34-61
Persistent link: https://www.econbiz.de/10015062344
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CapitalVX : a machine learning model for startup selection and exit prediction
Ross, Greg; Das, Sanjiv R.; Sciro, Daniel; Raza, Hussain - In: The Journal of finance and data science : JFDS 7 (2021), pp. 94-114
Using a big data set of venture capital financing and related startup firms from Crunchbase, this paper develops a …
Persistent link: https://www.econbiz.de/10013162868
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Pairwise acquisition prediction with SHAP value interpretation
Futagami, Katsuya; Fukazawa, Yusuke; Kapoor, Nakul; … - In: The Journal of finance and data science : JFDS 7 (2021), pp. 22-44
prediction model using 2000–2018 acquisition logs collected from CrunchBase. Based on the analysis of the high SHapley additive …
Persistent link: https://www.econbiz.de/10013162704
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How to succeed in the market? : predicting startup success using a machine learning approach
Kim, Jongwoo; Kim, Hongil; Geum, Youngjung - In: Technological forecasting & social change : an … 193 (2023), pp. 1-16
Persistent link: https://www.econbiz.de/10014473422
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