Digitala Vetenskapliga Arkivet

Change search
Refine search result
1 - 1 of 1
CiteExportLink to result list
Permanent link
Cite
Citation style
  • 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
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Carlsson, Ricky
    et al.
    Linköping University, Department of Management and Engineering. Linköping University, Faculty of Arts and Sciences.
    Vilhelmsson, Alexander
    Linköping University, Department of Management and Engineering. Linköping University, Faculty of Arts and Sciences.
    Nej tack till onödig reklam!: En studie om riktad marknadsföring via Big Data från ett konsumentperspektiv2021Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Title: No thanks to unnecessary advertising! -A study on targeted marketing via Big Data in a consumer perspective

    Authors: Ricky Carlsson and Alexander Vilhelmsson

    Supervisor: Anders Parment

    Key words: Targeted marketing, Big Data, Customer segmentation, Buying process, Integrity concern, Customer relationship management, Marketing communication, Strategic management, Big Data management, Online Behavioural Targeting

    Introduction: In a world that is globalizing and where digital development is advancing, companies have had to adapt. In recent times with the increasingly more digital world, technology has become an increasingly more relevant factor, not least in marketing. A digital method that has emerged is Big Data, whichmakes it possible forcompanies tocollect large amounts of information about consumers. By analysing the information extracted from Big Data, it is easier to find and understand consumers' needs and what motivates their buying process. It is important that companies analyse the information correctly so that they do not run the risk of creating negative effects from targeted marketing via Big Data.

    Purpose: To investigate Swedish consumers' attitudestowards targeted marketing via Big Data and to find out how companies that sell goods and services to consumers can improve their use of Big Data in targeted marketing from a consumer perspective.

    Method: The study is a cross-sectional study of a qualitative and quantitative nature. The qualitative empirical data consists of 11 semi-structured interviews with students in Sweden. The quantitative empirical data consists of 203 survey answers collected from consumers around Sweden. The study is based on an abductive approach and has a hermeneutic approach.

    Conclusion: The result of the study shows that there are both opportunities and challenges for companies when using Big Data in targeted marketing. Targeted marketing with the help of Big Data that is performed correctly should only have a positive impact on the targeted marketing and something that creates value for both the consumers and the companies, but this is not the case today. The population of the study perceives that marketing often does not match their needs; this shows that companies must become better at analysing the data. If the data extracted from Big Data is analysed in a better way, the segmentation of consumers will also be better.

    Download full text (pdf)
    NejTackTillOnödigReklam
1 - 1 of 1
CiteExportLink to result list
Permanent link
Cite
Citation style
  • 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