mdh.sePublications
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
Big Data in Business Research
Mälardalen University, School of Business, Society and Engineering, Industrial Economics and Organisation.ORCID iD: 0000-0003-0826-7052
2016 (English)Conference paper, Abstract (Refereed)
Abstract [en]

Big Data is an approach, a set of tools, and an opportunity to enable somewhat different designs of business research. This paper describes experiences from studies using Big Data. We discuss the aim of a study using this approach, not least the need to accept a vague initial aim, and how data collection can be setup to be flexible and scalable. Handling and processing the data to achieve usability and maintain traceability is covered, and a few different ways to use and analyze data obtained from a Big Data approach are mentioned. Concluding with a number of challenges and opportunities, this paper could hopefully encourage and support the use of Big Data approaches in business research, as a powerful addition to the researcher’s toolbox.

Place, publisher, year, edition, pages
2016.
Keyword [en]
big data, business research, research methods, data analysis
National Category
Business Administration
Research subject
Industrial Economics and Organisations
Identifiers
URN: urn:nbn:se:mdh:diva-33679OAI: oai:DiVA.org:mdh-33679DiVA: diva2:1047135
Conference
SMS Annual Conference, Berlin
Available from: 2016-11-16 Created: 2016-11-16 Last updated: 2016-12-12Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Dahlin, Peter
By organisation
Industrial Economics and Organisation
Business Administration

Search outside of DiVA

GoogleGoogle Scholar

Total: 14 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