Business Intelligence for Environmental Sustainability
(2024) INFM10 20241Department of Informatics
- Abstract
- This master’s thesis explores the importance of CSFs for business intelligence implementation for environmental sustainability initiatives from municipal employees’ perspectives, aiming to increase the understanding of the selected field. The qualitative study is based on semi-structured interviews with six employees. The collected data was analysed and discussed with a template analysis based on the theoretical framework. The findings of the study confirm some of the results of previous studies, indicating numerous CSFs perceived as
important. The study also identified three additional CSFs tailored to the municipal context: available technology, available time, and governmental support. In addition, the findings also highlight... (More) - This master’s thesis explores the importance of CSFs for business intelligence implementation for environmental sustainability initiatives from municipal employees’ perspectives, aiming to increase the understanding of the selected field. The qualitative study is based on semi-structured interviews with six employees. The collected data was analysed and discussed with a template analysis based on the theoretical framework. The findings of the study confirm some of the results of previous studies, indicating numerous CSFs perceived as
important. The study also identified three additional CSFs tailored to the municipal context: available technology, available time, and governmental support. In addition, the findings also highlight discrepancies with existing literature where the unique municipal context influences how different CSFs are perceived and prioritised. Thus, this master’s thesis contributes with knowledge to the field of information systems by improving the understanding of the current discourse for business intelligence and environmental sustainability in a municipal context. As well as provides an extension of the Integrated T-O-E framework. Finally, the thesis offers valuable insights which are of interest to Swedish municipalities and other governmental institutions working with the intersection of BI and environmental sustainability. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9163958
- author
- Persson, Linnea LU and Lyvall, Eleonora LU
- supervisor
- organization
- course
- INFM10 20241
- year
- 2024
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- Business Intelligence, Environmental Sustainability, Municipality, Critical Success Factors, Integrated T-O-E Framework
- language
- English
- id
- 9163958
- date added to LUP
- 2024-06-14 15:53:04
- date last changed
- 2024-06-14 15:53:04
@misc{9163958, abstract = {{This master’s thesis explores the importance of CSFs for business intelligence implementation for environmental sustainability initiatives from municipal employees’ perspectives, aiming to increase the understanding of the selected field. The qualitative study is based on semi-structured interviews with six employees. The collected data was analysed and discussed with a template analysis based on the theoretical framework. The findings of the study confirm some of the results of previous studies, indicating numerous CSFs perceived as important. The study also identified three additional CSFs tailored to the municipal context: available technology, available time, and governmental support. In addition, the findings also highlight discrepancies with existing literature where the unique municipal context influences how different CSFs are perceived and prioritised. Thus, this master’s thesis contributes with knowledge to the field of information systems by improving the understanding of the current discourse for business intelligence and environmental sustainability in a municipal context. As well as provides an extension of the Integrated T-O-E framework. Finally, the thesis offers valuable insights which are of interest to Swedish municipalities and other governmental institutions working with the intersection of BI and environmental sustainability.}}, author = {{Persson, Linnea and Lyvall, Eleonora}}, language = {{eng}}, note = {{Student Paper}}, title = {{Business Intelligence for Environmental Sustainability}}, year = {{2024}}, }