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Abstract
In public health services, business intelligence (BI) is used by medical secretaries, nurses, doctors and economists. Although some research has investigated the use of information systems in this regard, the results have been inconclusive. One explanation could be unobserved heterogeneity. This paper aims to apply use and task characteristics as well as perceptions of BI quality and user characteristics to characterize BI usage based on end-user segments. The finite mixture partial least squares (FINMIX-PLS), Kruskal-Wallis test and Bonferroni post-hoc test are used to provide a clear picture of the characteristics affecting the use of BI. The user segments are estimated using a sample of 746 BI users from 12 public hospitals and their administrations. The results highlight three segments that are primarily characterized by differences in task compatibility, BI experience and education. Only 16.5% of the respondents fit the definition of a BI user found in the extant literature. The remaining 83.5% represents new user types. This research in progress contributes to the extant BI literature by identifying new types of BI users and by showing how critical success factors differ by user types. As user types are identified using a quantitative method, qualitative studies could be applied to extend the understanding of the various types.
Original language | English |
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Title of host publication | Electronic Government and the Information Systems Perspective - 7th International Conference, EGOVIS 2018, Proceedings |
Editors | Enrico Francesconi, Andrea Ko |
Number of pages | 12 |
Publisher | Springer |
Publication date | 1 Jan 2018 |
Pages | 231-242 |
ISBN (Print) | 9783319983486 |
DOIs | |
Publication status | Published - 1 Jan 2018 |
Event | 7th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2018 - Regensburg, Germany Duration: 3 Sept 2018 → 5 Sept 2018 |
Conference
Conference | 7th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2018 |
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Country/Territory | Germany |
City | Regensburg |
Period | 03/09/2018 → 05/09/2018 |
Series | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 11032 LNCS |
ISSN | 0302-9743 |
Keywords
- Business intelligence
- FIMIX-PLS
- Public health
- User segmentation
Fingerprint
Dive into the research topics of 'BI end-user segments in the public health sector'. Together they form a unique fingerprint.Activities
- 1 Conference organisation or participation
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international conference on electronic government and the Information Systems Perspective
Rikke Gaardboe (Participant)
3 Sept 2018 → 6 Sept 2018Activity: Attending an event › Conference organisation or participation