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Data-driven business process improvement: An illustrative case study about the impacts and success factors of business process mining
Jönköping University, Jönköping International Business School, JIBS, Business Administration.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The current business environment is rapidly and fundamentally changing. The main driver are digital technologies. Companies face the pressure to exploit those technologies to improve their business processes in order to achieve competitive advantage. In the light of increased complexity of business processes and the existence of corporate Big Data stored in information systems, the discipline of process mining has emerged.

Investigate how process mining can support the optimization of business processes.

In this qualitative study, an illustrative case study research is utilized involving eight research participants. Hereby, data is primarily collected from semi-structured interviews. The data is analyzed using content analysis. In addition, the illustrative case serves the purpose to demonstrate the application of process mining.

The research revealed that process mining has important impacts on current business process improvement. Not all of them were explicitly positive. The derived success factors should support vendors, current and potential users to apply process mining safe and successfully.

Place, publisher, year, edition, pages
2019. , p. 108
Keywords [en]
Process mining, business process management, digital transformation, business intelligence
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-43958ISRN: JU-IHH-FÖA-2-20190907OAI: oai:DiVA.org:hj-43958DiVA, id: diva2:1319791
Subject / course
JIBS, Business Administration
Presentation
2019-06-03, B4051, JIBS, Gjuterigatan 5, Jönköping, 13:29 (English)
Supervisors
Examiners
Available from: 2019-06-26 Created: 2019-06-03 Last updated: 2019-06-26Bibliographically approved

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Decker - Process Mining(1684 kB)165 downloads
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CiteExportLink to record
Permanent link

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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
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  • asciidoc
  • rtf