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
Kan big data hjälpa till?: Big data som potentiellt underlag för kommunikationsbeslut
2020 (English)Independent thesis Advanced level (degree of Master (One Year)), 15 credits / 22,5 HE creditsStudent thesisAlternative title
Can big data help? : Big data’s potential influence on decision-making (English)
Abstract [en]

The purpose of this research is to provide an indication of how decision-making processes supported by big data can affect external communication for companies within the field of Entertainment. The research study indicates that digital communication utilising big data for decisions, via a framework such as the PEST model, is used because it is cost-effective, helps predict outcomes, and it can create relevance in communicating with potential customers. The research also indicates that the representatives are positive to data-decision-driven communication, but do need to acquire a better understanding of the concept and its possibilities and disadvantages, before being able to fully understand and utilize the potential in data-decision-driven communication. An additional difficulty the potentially missing data when end users do not wish to share data and are block tracking.

Place, publisher, year, edition, pages
2020.
Keywords [sv]
Digitalisering, Big data, Beslutsunderlag, Extern kommunikation, underhållningsbranschen, PEST analys, Personlig data, Digital spår
National Category
Information Studies
Identifiers
URN: urn:nbn:se:hb:diva-24029OAI: oai:DiVA.org:hb-24029DiVA, id: diva2:1500553
Available from: 2020-11-20 Created: 2020-11-12 Last updated: 2025-09-24Bibliographically approved

Open Access in DiVA

No full text in DiVA

Information Studies

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 85 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