dc.contributor.author | Llave, Marilex Rea | |
dc.date.accessioned | 2020-08-28T09:04:51Z | |
dc.date.available | 2020-08-28T09:04:51Z | |
dc.date.created | 2020-08-14T08:01:14Z | |
dc.date.issued | 2020 | |
dc.identifier.citation | Llave, M. R. (2020). Business Intelligence and Analytics in Small and Medium-Sized Enterprises (Doctoral thesis). University of Agder, Kristiansand. | en_US |
dc.identifier.isbn | 978-82-7117-984-7 | |
dc.identifier.issn | 1504-9272 | |
dc.identifier.uri | https://hdl.handle.net/11250/2675483 | |
dc.description.abstract | This thesis presents a study of Business Intelligence and Analytics (BI&A) adoption in small and medium-sized enterprises (SMEs). Although the importance of BI&A is widely accepted, empirical research shows SMEs still lag in BI&A proliferation. Thus, it is crucial to understand the phenomenon of BI&A adoption in SMEs.
This thesis will investigate and explore BI&A adoption in SMEs, addressing the main research question: How can we understand the phenomenon of BI&A adoption in SMEs? The adoption term in this thesis refers to all the IS adoption stages, including investment, implementation, utilization, and value creation. This research uses a combination of a literature review, a qualitive exploratory approach, and a ranking-type Delphi study with a grounded Delphi approach. The empirical part includes interviews with 38 experts and Delphi surveys with 39 experts from various Norwegian industries.
The research strategy investigates the factors influencing BI&A adoption in SMEs. The study examined the investment, implementation, utilization, and value creation of BI&A technologies in SMEs. A thematic analysis was adopted to collate the qualitative expert interview data and search for potential themes. The Delphi survey findings were further examined using the grounded Delphi method. To better understand the study’s findings, three theoretical perspectives were applied: resource-based view theory, dynamic capabilities, and IS value process models.
The thesis’ research findings are presented in five articles published in international conference proceedings and journals. This thesis summary will coherently integrate and discuss these results. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | 07 Media | en_US |
dc.relation.ispartofseries | Doctoral Dissertations at the University of Agder; no. 282 | |
dc.relation.haspart | Paper I: Llave, M. R. (2019). A Review of Business Intelligence and Analytics in Small and Medium-Sized Enterprises. International Journal of Business Intelligence Research, 10(1), 19-41. doi: http://dx.doi.org/10.4018/IJBIR.2019010102. Published version. Full-text is not available in AURA as a separate file. | en_US |
dc.relation.haspart | Paper II: Llave, M. R., Hustad, E. & Olsen, D. H. (2018). Creating Value from Business Intelligence and Analytics in SMEs: Insights from Experts. In Proceedings of the 24th Americas Conference on Information Systems. https://aisel.aisnet.org/amcis2018/DataScience/Presentations/13/. Published version. Full-text is not available in AURA as a separate file. | en_US |
dc.relation.haspart | Paper III: Llave, M. R. & Olsen, D. (2018). Drivers of Business Intelligence-based Value Creation: The Experts’ View. In Proceedings of the 12th Mediterranean Conference on Information Systems. https://aisel.aisnet.org/mcis2018/13/. Published version. Full-text is not available in AURA as a separate file. | en_US |
dc.relation.haspart | Paper IV: Llave, M. R. (2018). Data lakes in business intelligence: reporting from the trenches. Procedia computer science, 138, 516-524. doi: https://doi.org/10.1016/j.procs.2018.10.071. Published version. Full-text is available in AURA as a separate file: . | en_US |
dc.relation.haspart | Paper V: Llave, M. R., Hustad, E. & Olsen, D. H. (Forthcoming). Creating strategic business value from BI&A: Navigating the dire straits between investment and performance. Journal of Strategic Information Systems. Author´s submitted manuscript. Full-text is not available in AURA as a separate file. | en_US |
dc.title | Business Intelligence and Analytics in Small and Medium-Sized Enterprises | en_US |
dc.type | Doctoral thesis | en_US |
dc.description.version | publishedVersion | en_US |
dc.rights.holder | © 2020 Marilex Rea Llave | en_US |
dc.subject.nsi | VDP::Samfunnsvitenskap: 200 | en_US |
dc.source.pagenumber | 268 | en_US |
dc.source.issue | 282 | en_US |
dc.identifier.cristin | 1823259 | |