A Structured Approach to Entrepreneurial Decision-Making From Startup Inception to Navigating Uncertainties Using a Developed Typology
Author
Ej Efternavn, Apoorva
Term
4. semester
Publication year
2024
Submitted on
2024-08-14
Pages
71
Abstract
In a fast-changing and unpredictable world, starting a new business is hard. Many traditional business methods were designed for stable conditions and do not fit well under uncertainty. Following Wang et al. (2022), we view a startup as the practical work of building a business in an uncertain setting, where the main task is to reduce uncertainty step by step. This thesis proposes a clear, structured way to make decisions from the first idea onward. At its core is a typology—a simple classification—that helps founders match their business idea to the methods and tools that fit best. We test and validate this typology in two case studies to show its practical relevance and usefulness. We conclude by outlining how future research can further refine and validate the approach.
I en verden, der er hurtig foranderlig og uforudsigelig, er det svært at starte virksomhed. Mange traditionelle forretningsmetoder er udviklet til stabile forhold og rækker ikke til under usikkerhed. Med udgangspunkt i Wang m.fl. (2022) ser vi en startup som den praktiske opgave at bygge en virksomhed i et usikkert miljø, hvor hovedopgaven er gradvist at reducere usikkerhed. Denne afhandling tilbyder en klar, struktureret måde at træffe beslutninger på fra den første idé og frem. Kernen er en typologi—en enkel klassificering—der hjælper iværksættere med at matche deres forretningsidé med de metoder og værktøjer, der passer bedst. Vi tester og validerer typologien i to casestudier for at vise dens praktiske relevans og anvendelighed. Afhandlingen afslutter med forslag til, hvordan fremtidig forskning kan videreudvikle og validere tilgangen.
[This apstract has been rewritten with the help of AI based on the project's original abstract]
Keywords