Business Angels Academies: Unleashing the Potential for Business Angel Investment

Author(s):  
Juan Roure ◽  
Rudy Aernoudt ◽  
Amparo de San José Riestra
2020 ◽  
Vol 40 (3) ◽  
pp. 339-354
Author(s):  
Kellilynn M. Frias ◽  
Deidre L. Popovich ◽  
Dale F. Duhan ◽  
Robert F. Lusch

Business angels are vital sources of funding for new ventures. Yet, acquiring business angel support is difficult. Typically organized in professional networks, business angels collectively evaluate and deliberate about new ventures to determine their worthiness of support. One factor deemed to be critical during this evaluation is market risk. Yet, limited research in Macromarketing examines market risk. To our knowledge, no previous study examines market risk in capital markets, nor do they study angel financing. Neglecting to study angel financing is particularly problematic for macromarketing because this type of finance is much more prominent than venture capital in supporting new ventures. To fill this gap, we begin by exploring the literature by Lusch (and coauthors) linking marketing and capital markets as well as studies of market risk. We then craft fictitious angel investment proposals to measure market risk assessments by business angels and entrepreneurs. We ask which factors impact market risk during the early-phases of the investment screening process (when market risk is weighted more heavily) and identify whether these factors are evaluated differently by entrepreneurs versus business angels. Our findings reveal that commercialization capability, technological compatibility, and intellectual property rights enforceability influence perceived market risk and that entrepreneurs and business angels view these factors significantly differently. We then offer directions for further research related to this study and other work of Lusch. Finally, we suggest practical implications for use by business angels and entrepreneurs.


2014 ◽  
Vol 6 (1) ◽  
pp. 4-20 ◽  
Author(s):  
Yaokuang Li ◽  
Li Ling ◽  
Juan Wu ◽  
Peng Li

Purpose – The paper is aimed to obtain a clear understanding of influence factors that can increase the possibility to be business angels (BA). Design/methodology/approach – This study develops the 3A model in the Chinese context to design questionnaire, and 334 questionnaires are obtained via focus group sample and targeted snowball approach, and the multinomial logit analysis is used to test a serious of hypotheses. Findings – The paper confirmed that the entrepreneurial experience and wealth are determinants of investment for potential BA, and the wealth have both directly and indirectly positive influence on investment activity through risk preference, namely that richer people prefer risk which impel them to invest as BA. Research limitations/implications – There are two limitations in the paper: first, the macro environment in China has not been taken into consideration in the model; second, the source of the sample focuses on the developed cities in the middle and eastern of China, only reflect the characteristic of angels in these areas, which may somewhat diverges from the reality. Practical implications – The paper would contribute to form the policy which could promote the development of angel investment in China. Originality/value – This paper conducts a preliminary exploration of the factors that have impact on Chinese BA' investment activity based on current research.


2018 ◽  
Vol 60 (3) ◽  
pp. 3133-3162
Author(s):  
Brett Anthony White ◽  
John Dumay

2020 ◽  
pp. 104225872094520
Author(s):  
Ivo Blohm ◽  
Torben Antretter ◽  
Charlotta Sirén ◽  
Dietmar Grichnik ◽  
Joakim Wincent

Investors increasingly use machine learning (ML) algorithms to support their early stage investment decisions. However, it remains unclear if algorithms can make better investment decisions and if so, why. Building on behavioral decision theory, our study compares the investment returns of an algorithm with those of 255 business angels (BAs) investing via an angel investment platform. We explore the influence of human biases and experience on BAs’ returns and find that investors only outperformed the algorithm when they had extensive investment experience and managed to suppress their cognitive biases. These results offer novel insights into the role of cognitive limitations, experience, and the use of algorithms in early stage investing.


2017 ◽  
Vol 19 (4) ◽  
pp. 285-311 ◽  
Author(s):  
Geoff Gregson ◽  
Adam J. Bock ◽  
Richard T. Harrison

2008 ◽  
Vol 10 (2) ◽  
pp. 149-169 ◽  
Author(s):  
Dodo Zu Knyphausen-Aufseß ◽  
Rouven Westphal

2009 ◽  
Vol 53 (1-2) ◽  
Author(s):  
Matthias Wallisch

Corporate financing through business angels. Spatial organisation patterns of the informal venture capital market in Germany. Business angels play an important role in the financing of high-growth ventures. As informal investors they support entrepreneurs not only with money but also bring added value to their companies. The article examines the investment behaviour of business angels and traces the spatial diffusion of informal venture capital by considering different forms of proximity (spatial, organisational, cognitive, institutional and social). The findings are based on a large set of quantitative and qualitative empirical data collected from angel investors in Germany.Analysis of the data suggests interrelations between investment industries, social networks and the spatial mobility of informal venture capital. Altogether the spatial organisation of the business angel market in Germany can be described as an interregional network with financial and technology clusters as central nodes.


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