Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • harvard-cite-them-right
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Engineering a business: An empirical assessment of methods utilized by a startup to optimize product to market fit
University of Borås, Faculty of Textiles, Engineering and Business.
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Everyday ideas are born that change the world, ideas that beat the high-risk market of entrepreneurship. Relating to the question, what gives way to an optimal market establishment? The purpose of the thesis is to provide information related to what type of methodologies that contribute to the endeavours of a startup to successfully create a product that serves the markets needs. Achieved through careful and qualitative assessments of relevant sources in an abductive approach. The empirical findings from an observed startup serves as the basis for research, subsequently correlated and defined through scientific findings of the methodologies of the business model canvas, minimum viable product, and Lean Startup Methodology. The foundation of observations revolves around the startup company Swift, whose vision is to eliminate the risk of discrimination in the job-searching process through innovate and technical measures. Furthermore, quantitative data was gathered to assess the applicability of this study to the general startup market. The analyses of the startups utilization of the methodologies indicated flaws revolving human bias factors of interpreting data, and the effects of presenting minimum viable products to the market could effect the market establishment, relating to the customer perception within the innovation- spectrum. Conclusively, by utilizing methods that optimize multi-variable understanding, and continuous feedback by customers to validate market related hypothesises; give way to higher chances of an optimal product-market-fit.

Place, publisher, year, edition, pages
2016.
Keywords [en]
Entrepreneurship, Lean start-up, Business Model Canvas, pitfalls of startup, risks of startup, Minimum Viable Product
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hb:diva-10285OAI: oai:DiVA.org:hb-10285DiVA, id: diva2:944441
Subject / course
Industriell ekonomi
Available from: 2016-08-04 Created: 2016-06-29 Last updated: 2016-08-04Bibliographically approved

Open Access in DiVA

fulltext(1460 kB)523 downloads
File information
File name FULLTEXT01.pdfFile size 1460 kBChecksum SHA-512
f95f339bd05f7e690237ed4d94f378ab3c8a542503d69b1f0bc5fa596a878e171b5dd7b56117163bc0bbb167b62b95478b1d715c87d1123e55b1198f18ad6b1a
Type fulltextMimetype application/pdf

By organisation
Faculty of Textiles, Engineering and Business
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 523 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 995 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • harvard-cite-them-right
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf