Masterarbeit, 2018
101 Seiten, Note: 1,7
1 Introduction
2 Theory
2.1 Literature and definitions
2.1.1 How the literature evolved
2.1.2 Focus areas
2.1.3 Definitions
2.2 Ecosystem
2.2.1 Geographic characteristics
2.2.2 Trends
2.2.3 Target audience
2.2.4 Talent funnel
2.3 Startup and unicorn
2.3.1 Startup
2.3.2 Unicorn
2.4 Investor
2.4.1 Venture capital
2.4.2 Corporate investors
2.5 Valuation methods and down-rounds
2.5.1 General trends and recognized limitations
2.5.2 The use of traditional valuation methods in venture capital
2.5.3 Down-rounds
2.6 Endnote theory
3 Methodology
3.1 Study design
3.2 Sample selection
3.3 The interviews
4 Findings
4.1 Analysis of the interviews
4.1.1 Interview A
4.1.2 Interview B
4.1.3 Interview C
4.1.4 Interview D
4.1.5 Interview E
4.2 Clustering factors
4.2.1 Overview table
4.2.2 Ecosystem factors
4.2.3 Startup factors
4.2.4 Investor factors
4.2.5 Valuation methods and down-rounds factors
5 Discussion
5.1 Contrasting the literature with the interviews
5.1.1 Comparing ecosystem factors
5.1.2 Comparing startup factors
5.1.3 Comparing investor factors
5.1.4 Comparing valuation methods and down-rounds factors
5.1.5 Implications
5.2 The ideal unicorn aspirant, which factors have the highest impact at what time
5.2.1 Founding stage
5.2.2 Initial financing stage
5.2.3 Later stages and exit
5.3 Limitations
5.4 Future research
6 Conclusion
The research paper aims to provide a comprehensive analysis of the factors influencing high startup valuations, with a specific focus on the dynamics of negotiation and the causes of down-rounds. By examining both existing literature and expert perspectives, it seeks to offer practical guidance for entrepreneurs navigating different development stages of their ventures.
2.3.1 Startup
The first factor potentially influencing the valuation and the further development of a startup is its size. Almeida et al. (2003) did not state which firm characteristic determines the size of a company in their article. Therefore, this paper defines size as the number of employees working in a company, a simplified definition of Jiang’s (2003) suggestion. Almeida et al. (2003) were not entirely certain whether a large or a small size would be more beneficial for a venture. On one side they argued that with larger size, companies have a higher ability to engage with external knowledge through more ties to the external environment. Thus, gaining the advantage of better exploiting the acquired external knowledge internally if a firm does not grow inward looking and ignores external data sources – as the scholars Levinthal and March warn (1993).
Almeida et al. (2003) noticed on the other side, that a startup does not in every case increase its utilization when its size grows. In their opinion, this could stem from a decrease in informal mechanisms such as mobility and agility of the startup. Other researchers (Davila, Foster, & Gupta, 2003) pointed to industry statistics (e.g., (Bradstreet & Dun, 1998)) and discussed the twin liabilities of newness and smallness. Davila et al. (2003) argued that if these two characteristics were truly liabilities, then a startup would benefit from a rapid growth as this would eliminate at least one of the two.
1 Introduction: This chapter outlines the overarching research question regarding factors influencing high startup valuations and identifies three key areas of investigation, including factors impacting valuation, risks of down-rounds, and critical drivers across different development stages.
2 Theory: This chapter provides a comprehensive review of existing literature, clustering valuation drivers into four main dimensions: the startup, the various kinds of investors, the valuation methods and down-rounds, and the respective ecosystem.
3 Methodology: This chapter details the research design, which is based on grounded theory and semi-structured interviews with four startup investors and one serial entrepreneur to gain practical, real-world insights.
4 Findings: This chapter presents the results of the expert interviews, offering a detailed analysis of investor perspectives on valuation drivers, clustered into the four dimensions previously identified in the theory chapter.
5 Discussion: This chapter contrasts the academic findings with the expert interview insights, discusses the implications of these findings, and provides actionable recommendations for startups based on their development stage.
6 Conclusion: This chapter summarizes the main findings, noting that negotiation dynamics play a more significant role than previously documented in literature and that identifying the rationale behind down-rounds requires further exploration.
Startup Valuation, Unicorns, Venture Capital, Down-rounds, Investment Negotiation, Ecosystem Factors, Startup Growth, Financial Metrics, Unit Economics, Exit Strategies, Category Kings, Investment Reputation, Startup Lifecycle, Market Trends.
The main goal is to identify and understand the specific factors that influence high startup valuations and to explore the causes behind down-rounds in the startup environment.
The work focuses on four main dimensions: the startup itself, investor characteristics, the external ecosystem, and valuation methods, including the dynamics of negotiation and down-rounds.
The research uses a grounded theory approach, combining a review of 127 academic sources with semi-structured interviews conducted with four expert investors and one serial entrepreneur.
The study finds that existing literature often overlooks the dynamic nature of negotiations. Interviews reveal that these processes, often driven by investor intuition and market rivalry, play a substantial role in determining the final valuation.
It refers to a company that defines, develops, and dominates a new market category, which is identified as a decisive characteristic that reduces risk and significantly enhances a startup's valuation.
The thesis categorizes startups into founding, initial financing, and later stages, providing specific guidance on which factors—such as team composition, unit economics, or exit probability—are most critical at each specific phase.
A down-round indicates that a company raised capital at a lower price than the previous round, often signaling operational failures, missed milestones, or shifts in market conditions, which can lead to further difficulties in securing future investment.
The findings suggest that a reputable VC fund adds significant value through signaling and managerial support, leading entrepreneurs to occasionally accept lower valuations from highly reputable investors over higher offers from less known firms.
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