lnu.sePublications
Change search
Refine search result
1 - 1 of 1
CiteExportLink to result list
Permanent 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
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.
    Svensson, Daniel
    et al.
    Linnaeus University, School of Business and Economics, Department of Marketing.
    Tran, Mikael
    Linnaeus University, School of Business and Economics, Department of Marketing.
    Online Loyalty Program & Type Identification: Empirical study concerning Swedish online based loyalty programs & type identification2014Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Purpose: To expand the fundamental knowledge of how online loyalty programs are developed, utilized and maintained.

    Design/methodology/approach: A deductive approach with a qualitative research method, consisting of multiple case studies with a total of four companies operating online within Sweden. The data gathering was conducted through a semi structured interviews.

    Findings: With four companies operating in different industries, holds different levels of experiences of managing an online loyalty program and are in various sizes, it can be concluded that the companies have approached the development of the loyalty programs in similar manners with the customer focus in mind to create loyalty. To expand upon the setup and development of online loyalty programs, a type identification was performed on the cases in the research with some additional theories added upon. The results showcased that the cases were spread out as to regards to their general types.

    Research limitations/implications: Future research could arguably expand upon the research regarding the different loyalty program identity types in an online perspective as the subject has limited previous research while also validate or reject the argued components added onto Berman’s (2006) framework. Additionally the theoretical framework of identification types also requires further research to obtain a more objective analysis that can increase the reliability and external validity of the studies.

    Practical implications: By validating the type identification model, businesses are able to determine what type of loyalty program the organizations holds and what kind of actions are required in order to further develop the program.

    Originality/Value: Establishing an updated framework from which future managers and researchers can obtain an understanding of the different factors that has of importance for the phenomenon.

1 - 1 of 1
CiteExportLink to result list
Permanent 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