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What is the in
f
luence of human
behavior in the startup valuation at
an early stage?
Seeking the roots of new venture valuations:
Insights from non-
f
inancial factors.
Findings
Theoretical
framing
Methodology Conclusions Implications Future work
Unit of analysis: Individuals (investors), with an
in
f
luential role in the valuation decision-making
process of tech startups at early-stage funding
rounds (pre-seed, seed and Series A)
Data collection: 58 Semi-structured open
interviews.
Data analysis: Open coding, axial coding,
selective coding and theory construction
? Research has documented the in
f
luence of
human behavior variables in the investor's
perspective at early-stage investments.
? If the information is not available to support
model assumptions, investors recur to
previous experiences or current paradigms
about the future (heuristics & biases).
? Limited rationality and the inconsistent
behavior.
? Challenge traditional perspective about
valuations.
? Brings the attention of researchers,
investors, and entrepreneurs to the non-
f
inancial side of valuations.
? Establish a theoretical foundation for further
exploring this human behavior in
f
luence's
nature and its implications on the valuation
process.
? Introducing a new perspective to explore
valuation methods and their e
ff
ectiveness.
? Question dictation voice.
? Explore the investor decision-making process
using ethnographic research techniques to
validate investor answers.
? Validate current claims with quantitative
research based on surveys, available data in
the industry, and decision-making
experiments.
? Study the entrepreneur's perspective of the
same phenomena.
? Observe whether the e
ff
ect is strengthened
or weakened over di
ff
erent investment
rounds.
Luis Almanza
lma77@case.edu
+52 444 510 9619
Areas of feedback
? Feedback, advice, or new ideas.
? Dissemination options (journals, magazines,
books).
? Interested VCs for behavior experiments
(winter 2021, summer 2022).
? Secondary data access.
? Early-stage investors for data collection
(surveys).
? Research funds or sponsors.

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Poster - EMS Doctoral Consortium - Luis Almanza - Insights from non-financial factors.pdf

  • 1. What is the in f luence of human behavior in the startup valuation at an early stage? Seeking the roots of new venture valuations: Insights from non- f inancial factors. Findings Theoretical framing Methodology Conclusions Implications Future work Unit of analysis: Individuals (investors), with an in f luential role in the valuation decision-making process of tech startups at early-stage funding rounds (pre-seed, seed and Series A) Data collection: 58 Semi-structured open interviews. Data analysis: Open coding, axial coding, selective coding and theory construction ? Research has documented the in f luence of human behavior variables in the investor's perspective at early-stage investments. ? If the information is not available to support model assumptions, investors recur to previous experiences or current paradigms about the future (heuristics & biases). ? Limited rationality and the inconsistent behavior. ? Challenge traditional perspective about valuations. ? Brings the attention of researchers, investors, and entrepreneurs to the non- f inancial side of valuations. ? Establish a theoretical foundation for further exploring this human behavior in f luence's nature and its implications on the valuation process. ? Introducing a new perspective to explore valuation methods and their e ff ectiveness. ? Question dictation voice. ? Explore the investor decision-making process using ethnographic research techniques to validate investor answers. ? Validate current claims with quantitative research based on surveys, available data in the industry, and decision-making experiments. ? Study the entrepreneur's perspective of the same phenomena. ? Observe whether the e ff ect is strengthened or weakened over di ff erent investment rounds. Luis Almanza lma77@case.edu +52 444 510 9619 Areas of feedback ? Feedback, advice, or new ideas. ? Dissemination options (journals, magazines, books). ? Interested VCs for behavior experiments (winter 2021, summer 2022). ? Secondary data access. ? Early-stage investors for data collection (surveys). ? Research funds or sponsors.