Getting Boundary Conditions Right: Towards a Classification of the Information Economy Sectors

Lucrative Startups Screening for Seed Accelerators: A Data-Driven Selection Criteria Pipeline

“…Reference Definition of Success (Gastaud et al, 2019) (Sharchilev et al, 2018) Having at least N investment rounds in the next D days from the previous one (Antretter et al, 2019) (Liang & Yuan, 2016) Successful fundraising attempt (Antretter et al, 2019) (Böhm et al, 2017) Surviving the first 5 years (Spiegel et al, 2016) Good financial performance of the company (Xiang et al, 2012) Acquisition (Wong et al, 2005) (Hormiga et al, 2011) Outperforming the industry average growth of sales and profitability In this work, my goal is to predict the success of an early-stage startup by using the data available in the CrunchBase and Seed-DB datasets. Unfortunately, the information available with respect to this stage of the life-cycle of a startup is limited due to improper record keeping and biased sources (Brush & Vanderwerf, 1992).…”

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“…It should be noted that only startups are identified with this type of organisation, i.e. enterprises either beginning their economic activity or still at the earliest stages of business development (Spiegel et al, 2015). As we can see from the deliberations of numerous authors, the term startup is typically used to refer to new, temporary entities characterised by high potential for rapid growth and scalability, with a business model strongly relying on technology and innovation (Krejci et al, 2015).…”