Rikke Gaardboe

The importance of task compatibility for web-enabled business intelligence success in e-government

Due to digital transformation and its derivative effects on tasks, it is essential to investigate the connection between task and technology in an e-government setting. This paper examines how task compatibility affects web-enabled Business Intelligences (BI) success in the public sector. BI success is measured based on use, user satisfaction, and individual impact. A positive and significant relationship exists between task compatibility and use, user satisfaction, and individual impact. Additionally, user satisfaction mediates task compatibility and individual impact. No relationship was found between use and individual impact. The study shows that it is important to include task compatibility in system selection, public procurement, system development, and implementation rather than exclusively technical criteria in the public sector.

BI End-User Segments in the Public Health Sector.

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.

The Relationship between Task Characteristics, BI Quality and Task Compatibility: An Explorative Study

The purpose of this article is to investigate the relationship between task characteristics, business intelligence (BI) quality, and task compatibility. It is essential to investigate this relationship, as BI often builds up data from the organizations existing information systems, and thus, is a supplement. In addition, there is a gap within existing research about task characteristics and BI. We conducted a survey of three companies, where 104 BI end users answered the questionnaire. Our findings reveal that BI users who experience high information quality solve difficult tasks, have a specified job, and their task solution is independent of others experiencing higher task compatibility. The main contribution of the survey is a better understanding of how tasks and BI fit together. In conclusion, the model could be tested in different industries and with different information systems.