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Owning or Renting?: Investing Consumer Perceptions on Different Apartment Types in Wooden Multi-Family Houses in Sweden
Linnaeus University, Faculty of Technology, Department of Mechanical Engineering. (Industriell ekonomi)
2015 (English)In: Renewable Materials and the Bio-Economy / [ed] H. Michael Barnes and Victoria L. Herian, 2015, 459-459 p.Conference paper, Poster (Other academic)
Abstract [en]

In Sweden, an increase of wooden multistory houses is expected in the near future. At the same time, discussions take place about an appropriate distribution of apartment types, i.e. rental apartments vs. condominiums. More rental apartments are demanded from the publics, whilst firms on the construction market are very well aware of the higher profitability of condominiums. Yet, what personal values would motivate consumers to rent or own an apartment in a wooden multi-family house and how are these linked to product attributes?

Using the Extended Association Pattern Technique, data was generated from 318 consumers living in rental apartments and 185 living in condominiums in Sweden. For both consumer groups, the top 3 Means-End Chains were analyzed.

Place, publisher, year, edition, pages
2015. 459-459 p.
Keyword [en]
Wooden houses, multi-family houses, end-user analysis, Means-End Chain
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Economy, Marketing; Technology (byts ev till Engineering), Industrial economy
Identifiers
URN: urn:nbn:se:lnu:diva-42419OAI: oai:DiVA.org:lnu-42419DiVA: diva2:805496
Conference
58th International Convention of Society of Wood Science and Technology, June 7-12, 2015, Jackson, USA
Available from: 2015-04-15 Created: 2015-04-15 Last updated: 2015-08-18Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • 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