The emergence of DLT in entrepreneurship: opportunities and business models.
Authors
Alexe, Cristian ; Baliutavicius, Andrius
Term
4. semester
Education
Publication year
2018
Submitted on
2018-06-01
Pages
99
Abstract
Denne masterafhandling undersøger fremkomsten af distributed ledger technology (DLT) og dens betydning for entreprenørskab med fokus på to spørgsmål: om DLT forstyrrer entreprenørielle muligheder, og om den muliggør nye forretningsmodeller. Arbejdet kombinerer litteraturstudier og online søgning med empiriske metoder som ekspertinterviews og spørgeskemaer og anvender markedsanalytiske rammer (diffusionsmodeller, PESTEL, Porters Five Forces og SWOT). Afhandlingen giver et teknisk overblik over DLT og relaterede teknologier (blockchain, kryptovalutaer, smart contracts, ICO’er og dApps), belyser DLT’s potentielt disruptive karakter og relation til general purpose technology, og analyserer konsekvenser for forretningsmodellering, herunder Business Model Canvas og centraliserede vs. decentraliserede konfigurationer. Resultaterne bruges til at formulere et start-up koncept, hvor DLT skal give brugere mulighed for at monetisere data fra mobilbaserede sundheds- og fitnessapps. Afhandlingen anerkender begrænsninger i tid og tilgængelig litteratur; konkrete konklusioner på forskningsspørgsmålene refereres i den fulde afhandling, men fremgår ikke af det medsendte uddrag.
This master’s thesis examines the emergence of distributed ledger technology (DLT) and its implications for entrepreneurship, focusing on whether DLT disrupts entrepreneurial opportunities and enables new business models. The study combines literature reviews and online searching with empirical methods, including expert interviews and surveys, and applies market analysis frameworks (diffusion models, PESTEL, Porter’s Five Forces, and SWOT). It provides a technical overview of DLT and related technologies (blockchain, cryptocurrencies, smart contracts, ICOs, and dApps), explores DLT’s potentially disruptive nature and its relation to general purpose technology, and analyzes impacts on business modeling, including the Business Model Canvas and centralized versus decentralized configurations. The findings inform a start-up concept that uses DLT to let users monetize data generated by mobile health and fitness apps. The thesis notes limitations in time and available literature; specific answers to the research questions are presented in the full document but are not detailed in the provided excerpt.
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