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001467856 001__ 1467856
001467856 003__ OCoLC
001467856 005__ 20230707003342.0
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001467856 008__ 230511s2023\\\\sz\a\\\\o\\\\\000\0\eng\d
001467856 019__ $$a1378430167
001467856 020__ $$a9783031300585$$qelectronic book
001467856 020__ $$a3031300580$$qelectronic book
001467856 020__ $$z9783031300578
001467856 020__ $$z3031300572
001467856 0247_ $$a10.1007/978-3-031-30058-5$$2doi
001467856 035__ $$aSP(OCoLC)1378795626
001467856 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dN$T$$dYDX
001467856 049__ $$aISEA
001467856 050_4 $$aHG4521$$b.M39 2023
001467856 08204 $$a332.6$$223/eng/20230511
001467856 1001_ $$aMazzocchini, Francesco James,$$eauthor.
001467856 24510 $$aInvestors' preferences in financing new ventures :$$ba data mining approach to equity /$$cFrancesco James Mazzocchini, Caterina Lucarelli.
001467856 264_1 $$aCham :$$bPalgrave Macmillan,$$c2023.
001467856 300__ $$a1 online resource (xiv, 147 pages) :$$billustrations (some color)
001467856 336__ $$atext$$btxt$$2rdacontent
001467856 337__ $$acomputer$$bc$$2rdamedia
001467856 338__ $$aonline resource$$bcr$$2rdacarrier
001467856 5050_ $$aChapter 1. Introduction: what is equity crowdfunding and how can the decision-making process of retail investors be outlined? -- Chapter 2. About entrepreneurial finance and factors affecting crowd-investor preferences -- Chapter 3. Definition and description of the analytical process: a data mining approach -- Chapter 4. Sample selection and platform characteristics -- Chapter 5. Data analysis and econometric models -- Chapter 6. Empirical results -- Chapter 7. Conclusions and contributions to theory and practice.
001467856 506__ $$aAccess limited to authorized users.
001467856 520__ $$aThis book aims at providing an empirical understanding of the main drivers affecting investors' preferences in financing new ventures through equity crowdfunding (ECF) and determining fundraising campaign success. ECF is increasing in prominence as a route for new ventures in obtaining external financial resources. To raise capital, entrepreneurs are required to convey quality signals of their proposals with real-time information and knowledge sharing. This book advances knowledge in entrepreneurial finance by investigating the factors that affect individuals' decisions to participate in ECF. The authors adopt a data mining approach to extract publicly available information from a multitude of crowdfunding platforms across different countries, producing a unique dataset. The book uses an innovative hybrid analysis to generate knowledge patterns creating data-driven models on one hand, and on the other test research hypotheses adopting statistical models to investigate empirical evidence in line, or in contrast, with the extant literature. The book also integrates organizational theories to examine the extent to which ECF platform managers follow a strategy of isomorphism in their choice of information disclosure. The final part of the book discusses how signals are interpreted by investors, how these affect financing preferences, and ultimately the successful completion of a fundraising campaign. The book will be of interest to academics and practitioners in entrepreneurial finance, FinTech, and investment behaviour. Francesco James Mazzocchini, Ph.D., is postdoctoral research fellow in Banking and Financial Markets at the Department of Management, Marche Polytechnic University -- Italy. His scientific interests are in the fields of behavioural finance, decision-making under risk, FinTech, innovative financing, and entrepreneurial finance. Caterina Lucarelli is Full Professor of Banking and Financial Markets at the Department of Management, Marche Polytechnic University -- Italy. Her scientific interests are in the fields of market microstructure, investors' behaviour, decision-making under risk, gender diversity, entrepreneurship and sustainable finance. Since 2007, as National Coordinator of a Research Project supported by the Italian Ministry of University and Research, she has cooperated with psychologist and neuroscientists to study individual risk tolerance.
001467856 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed May 11, 2023).
001467856 650_0 $$aInvestments.
001467856 650_0 $$aCrowd funding.
001467856 650_0 $$aNew business enterprises$$xFinance.
001467856 650_0 $$aCapitalists and financiers.
001467856 650_0 $$aData mining.
001467856 655_0 $$aElectronic books.
001467856 7001_ $$aLucarelli, Caterina,$$d1970-$$eauthor.
001467856 77608 $$iPrint version:$$z9783031300585
001467856 77608 $$iPrint version:$$z3031300572$$z9783031300578$$w(OCoLC)1372131247
001467856 852__ $$bebk
001467856 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-30058-5$$zOnline Access$$91397441.1
001467856 909CO $$ooai:library.usi.edu:1467856$$pGLOBAL_SET
001467856 980__ $$aBIB
001467856 980__ $$aEBOOK
001467856 982__ $$aEbook
001467856 983__ $$aOnline
001467856 994__ $$a92$$bISE