Change search
CiteExportLink to record
Permanent link

Direct link
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
Exploring barriers to adoption of Virtual Reality through Social Media Analytics and Machine Learning – An assessment of technology, network, price and trialability
Jönköping University, Jönköping International Business School, JIBS, Business Administration. Jönköping University, Jönköping International Business School, JIBS, Media, Management and Transformation Centre (MMTC). Stockholm School of Economics Institute for Research, Stockholm, Sweden.ORCID iD: 0000-0002-2874-017x
Jönköping University, Jönköping International Business School, JIBS, Business Administration. Jönköping University, Jönköping International Business School, JIBS, Media, Management and Transformation Centre (MMTC). The Ratio Institute, Stockholm, Sweden.ORCID iD: 0000-0002-8625-8744
Chalmers University of Technology, Göteborg, Sweden.
Chalmers University of Technology, Göteborg, Sweden.
2019 (English)In: Journal of Business Research, ISSN 0148-2963, E-ISSN 1873-7978, Vol. 100, p. 469-474Article in journal (Refereed) Published
Abstract [en]

This paper aims to assess how diffusion of Virtual Reality (VR) technology is taking place and identify potential barriers to increased adoption. This is done by utilising Social Media Analytics to collect a data set covering an empirical material of 6044 user-generated content concerning the market‑leading VR headsets Oculus Rift and HTC Vive, and machine learning to identify critical barriers to adoption. Our findings suggest that there is a lack of sufficient technological performance of these headsets and that more applications are required for this technology to take off. We contribute to literature on VR by providing a systematic assessment of current barriers to adoption while also pointing out implications for marketing. 

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 100, p. 469-474
Keywords [en]
Adoption, HTC vive, Machine learning, Oculus rift, Social media analytics, Virtual reality
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:hj:diva-42858DOI: 10.1016/j.jbusres.2019.01.017ISI: 000470942500042Scopus ID: 2-s2.0-85060215086OAI: oai:DiVA.org:hj-42858DiVA, id: diva2:1287021
Available from: 2019-02-08 Created: 2019-02-08 Last updated: 2019-06-27Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Laurell, ChristoferSandström, Christian

Search in DiVA

By author/editor
Laurell, ChristoferSandström, Christian
By organisation
JIBS, Business AdministrationJIBS, Media, Management and Transformation Centre (MMTC)
In the same journal
Journal of Business Research
Information Systems, Social aspects

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 72 hits
CiteExportLink to record
Permanent link

Direct link
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