Are we missing the platforms for the crowd? Comparing investment drivers across multiple crowdfunding platforms

Crowdfunding platforms have attracted the attention of practitioners and scholars alike. The term ‘crowdfunding’, first coined in the early 2000s, describes a new institutional form in the financial markets which utilizes digital platforms to originate and aggregate funding. There is abundant research on the topic. Yet extant work mainly consists of single-platform studies. We argue that observing patterns on one platform does not necessarily advance our understanding of other platforms. Specifically, we use data from eight major crowdfunding platforms to conduct a variance decomposition analysis of funding success. The findings suggest factors associated with success in a given platform do not replicate to the other platforms. It underscores the generalizability challenge facing the crowdfunding literature. We therefore highlight the need to complement single-platform studies with cross-platform studies

Is There an eBay for Ideas? Insights From Online Knowledge Marketplaces

The market for knowledge has grown dramatically over the past decades. Extant work underscores the factors shaping market efficacy: (a) the cost of searching for innovative knowledge; (b) asymmetric-information between inventors and investors; and (c) the inherent difficulty in maintaining ownership over knowledge. Recently, market transactions have been taking place online, matching disperse owners (entrepreneurs or inventors), and seekers (investors or licensees), of knowledge. This phenomenon constitutes a sharp departure from past practices where transactions tend to materialize around one\u27s social circle (e.g., venture capitalists\u27 social ties). We investigate the drivers of market efficacy in a setting where social ties are not available ex-ante, and identify alternative market mechanisms that emerge in such settings. Using novel hand-collected data for 30 online knowledge marketplaces, we find overwhelming evidence of adverse-selection-mitigating mechanisms (e.g., screening through upfront fees and disclosure requirements). We discuss theoretical explanations that are consistent with the observed mechanisms

Why do incumbents fund startups? A study of the antecedents of corporate venture capital in China

Established firms are instrumental in funding entrepreneurial ventures, a practice known as corporate venture capital (CVC). Yet, our knowledge of the reasons firms engage in CVC is calibrated mainly on data from the United States and Europe. Such a restricted focus limits our understanding of CVC practices and objectives. Accordingly, we adopt an abductive approach to study the antecedents of CVC in China. The country is a vibrant entrepreneurial setting, second only to the USA in total startup numbers and funding amounts. We construct a comprehensive data of Chinese CVCs during the late 2010s by integrate Chinese and international databases. Cross-industry analyses of CVC patterns underscore a novel objective; one that is predominantly associated with harnessing growth through market expansion rather than the prevailing view of CVC as a window on technology. The findings mirror the features of the Chinese setting, where entrepreneurs profit from the dramatic expansion in economic activity and serve as a vehicle to leverage the global innovation frontier

Low-code entrepreneurship: Shopify and the alternative path to growth

The past decade witnessed a surge in the availability of low-code tools, where software-based solutions can be developed with limited or no need for writing code. One of the most salient examples is Shopify, which enables a layperson to become a fully-functioning online retailer without ever resorting to writing code. We ask: how do low-code tools affect growth trajectory and entrepreneurial success? How do they change the resources required to scale-up and grow? We explore these questions in the context of the e-commerce sector during the 2010s. Several databases were integrated to construct a sample covering about 400 VC-backed startups; including a detailed profile of their financial, human and software tools. The analyses indicate that Shopify-based startups start life with fewer financial and human resources compared to their e-commerce peers. Yet, despite the leaner beginning, they achieve a similar level of successful exits. The value created per employee, and cash-on-cash return for investors, place Shopify-based startups on par with their peers

A review and road map of entrepreneurial equity financing research

Equity financing in entrepreneurship primarily includes venture capital, corporate venture capital, angel investment, crowdfunding, and accelerators. We take stock of venture financing research to date with two main objectives: (a) to integrate, organize, and assess the large and disparate literature on venture financing; and (b) to identify key considerations relevant for the domain of venture financing moving forward. The net effect is that organizing and assessing existing research in venture financing will assist in launching meaningful, theory-driven research as existing funding models evolve and emerging funding models forge new frontiers

Crowdfunding in Europe : Between Fragmentation and Harmonization

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The Global Status of the Crowdfunding Industry

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SMBOs: buying time or improving performance?

On the basis of an empirical analysis of 491 UK recent secondary management buyouts (SMBOs), we find strong evidence of a deterioration in long-run abnormal returns following SMBO deals. SMBOs also perform worse than primary buyouts in terms of profitability, labor productivity, and growth. We find no evidence for superior performance of private equity (PE) backed SMBOs, compared with their non-PE-backed counterparts. It appears that a PE firm's reputation and change in management are important determinants of improvements in profitability and labor productivity, respectively. High debt and high percentage of management equity tend to be associated with poor performance measured by profitability and labor productivity. Notably, none of the buyout mechanisms (i.e., financial, governance, operating) normally associated with performance improvements generate growth during the secondary buyout phase. The results are robust to the use of alternative performance measures, alternative benchmarks, and the possibility of sample selection bias. © 2013 The Authors. Managerial and Decision Economics published by John Wiley & Sons, Ltd

Investigating the mix of strategic choices and performance of transaction platforms: Evidence from the crowdfunding setting

Research Summary: The platform literature offers keen insights on the pricing and non-pricing strategies that transaction platforms undertake. We supplement this work by studying how platforms mix together their strategic choices and the association with platforms’ performance. To that end, we focus on crowdfunding platforms; a prominent setting of transaction platforms. We present an inductive large-N study of the population of 788 crowdfunding platforms that operated in EU-15 countries up to 2018. Our contribution is threefold: (a) identifying common mixes of strategic choices; (b) tracking deviations from these mixes; and (c) associating these with platforms’ survival and growth. We discuss our findings and how they advance knowledge at the intersection of the platform and strategic management literatures. Managerial Summary: Notable transaction-platforms such as eBay, LinkedIn, and Tencent have an aggregate market-value in the hundreds of billions of dollars. We know that platforms’ success is driven by the strategic choices they undertake. Yet, we know less about how they mix together these choices and the association with platforms’ performance. Our study addresses this gap by focusing on a prominent setting: crowdfunding. Using data on the population of 788 crowdfunding platforms in EU-15 countries, we show that these platforms cluster around three common mixes of strategic choices. Moreover, crowdfunding platforms do not strictly adhere to the strategy mix they are affiliated with. Interestingly, there is a positive association between the degree to which a platform's choices differentiate from its strategy mix and platform's subsequent performance

Investment, duration, and exit strategies for corporate and independent venture capital-backed start-ups

We propose a model of investment, duration, and exit strategies for start-ups backed by venture capital (VC) funds that accounts for the high level of uncertainty, the asymmetry of information between insiders and outsiders, and the discount rate. Our analysis predicts that start-ups backed by corporate VC funds remain for a longer period of time before exiting and receive larger investment amounts than those financed by independent VC funds. Although a longer duration leads to a higher likelihood of an exit through an acquisition, a larger investment increases the probability of an IPO exit. These predictions find strong empirical support