Change search
CiteExportLink to record
Permanent link

Direct 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
Business Analytics Maturity Model: An adaptation to the e-commerce industry.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Business Studies.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Maturity models have become a widely used framework for assessing various capabilities and technologies among businesses. This thesis develops a maturity model for assessing Business Analytics (BA) in Swedish e-commerce firms. Business Analytics has become an increasingly important part of modern businesses, and firms are continuously looking for new ways to perform analysis of the data available to them. The prominent previous maturity models within BA have mainly been developed by IT-consultancy firms with the underlying intent of selling their IT services. Consequently, these models have a primary focus on the technical factors towards Business Analytics maturity, partly neglecting the importance of organisational factors. This thesis develops a Business Analytic Maturity Model (BAMM) which fills an identified research gap of academic maturity models with emphasis on the organisational factors of BA maturity. Using a qualitative research design, the BAMM is adapted to the Swedish e-commerce industry through two sequential evaluation stages. The study finds that organisational factors have a greater impact on BA maturity than previous research suggests. The BAMM and the study's results contribute with knowledge of Business Analytics, as well as providing e-commerce firms with insights into how to leverage their data.

Place, publisher, year, edition, pages
2019. , p. 76
Keywords [en]
Maturity Model, Business Analytics, E-commerce, Swedish Businesses, Organisational factors, Technical factors, Data, Data Analytics, Resource-based view
National Category
Business Administration
Identifiers
URN: urn:nbn:se:uu:diva-388358OAI: oai:DiVA.org:uu-388358DiVA, id: diva2:1332820
Subject / course
Business Studies
Educational program
Master Programme in Business and Management
Supervisors
Available from: 2019-06-28 Created: 2019-06-28 Last updated: 2019-06-28Bibliographically approved

Open Access in DiVA

BAMM - Business Analytics Maturity Model(1515 kB)55 downloads
File information
File name FULLTEXT01.pdfFile size 1515 kBChecksum SHA-512
20633fe7048c71a6172faf51660bd9e82ac61c5e9c7ca267bbb2bb343ca6d62982595a7a1b3ed2dcfc3185619ebde5f2acc994566df2a2ae56582c16e15c2176
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Nilsson, Valentin
By organisation
Department of Business Studies
Business Administration

Search outside of DiVA

GoogleGoogle Scholar
Total: 55 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 112 hits
CiteExportLink to record
Permanent link

Direct 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