Fundraising for venture capital investments have continued to increase
in recent years. One crucial step in the investment process is the
valuation of the target company. Investors are faced with the great
challenge of valuing a young venture without a corporate or financial
history, a firm customer relationship or even a business model, while
still taking into account the tremendous growth potential. Especially
the valuation of technology companies is a difficult and often
subjective process. Motivated by these considerations, this dissertation
details a design science research project, which aims to develop an
artifact that improves the indication of value in early-stage technology
venture valuation while enabling operationalizable and fair valuation.
This approach ensures a more meaningful valuation and better
applicability to early-stage technology ventures compared to traditional
methods while supporting the deliberate reduction of information
asymmetries between entrepreneurs and investors. Firm-specific
characteristics and practical applicability are taken into account.