Details
| Original language | English |
|---|---|
| Pages (from-to) | 1-26 |
| Number of pages | 26 |
| Journal | Journal of Decision Systems |
| Volume | 29 |
| Issue number | 1 |
| Publication status | Published - 21 Mar 2020 |
Abstract
This study examines which factors influence the use of self-service business intelligence (SSBI) applications. To analyse the interdependencies, we develop a structural equation model (SEM) and test it by surveying potential users of SSBI across different sectors. The SEM shows that the intention to use is significantly influenced by the expected contribution of SSBI to information needs, which is significantly influenced by business intelligence (BI) experience, SSBI flexibility, SSBI expected time savings and the importance of data quality. The perceived attention of a company to data quality has a significant negative influence on the intention to use. These results imply that the mere introduction of SSBI is not sufficient for successful use. Training on how to use SSBI and how SSBI can change individual ways of working are important components. A well-designed concept for ensuring data quality also promotes the intention to use. In addition, we found that the utilitarian value is independent of the decision environment.
Keywords
- contribution to information needs, intention to use, Self-service business intelligence, structural equation modelling
ASJC Scopus subject areas
- Business, Management and Accounting(all)
- Management Information Systems
- Computer Science(all)
- Software
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In: Journal of Decision Systems, Vol. 29, No. 1, 21.03.2020, p. 1-26.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Encouraging the use of self-service business intelligence–an examination of employee-related influencing factors
AU - Passlick, Jens
AU - Guhr, Nadine
AU - Lebek, Benedikt
AU - Breitner, Michael H.
PY - 2020/3/21
Y1 - 2020/3/21
N2 - This study examines which factors influence the use of self-service business intelligence (SSBI) applications. To analyse the interdependencies, we develop a structural equation model (SEM) and test it by surveying potential users of SSBI across different sectors. The SEM shows that the intention to use is significantly influenced by the expected contribution of SSBI to information needs, which is significantly influenced by business intelligence (BI) experience, SSBI flexibility, SSBI expected time savings and the importance of data quality. The perceived attention of a company to data quality has a significant negative influence on the intention to use. These results imply that the mere introduction of SSBI is not sufficient for successful use. Training on how to use SSBI and how SSBI can change individual ways of working are important components. A well-designed concept for ensuring data quality also promotes the intention to use. In addition, we found that the utilitarian value is independent of the decision environment.
AB - This study examines which factors influence the use of self-service business intelligence (SSBI) applications. To analyse the interdependencies, we develop a structural equation model (SEM) and test it by surveying potential users of SSBI across different sectors. The SEM shows that the intention to use is significantly influenced by the expected contribution of SSBI to information needs, which is significantly influenced by business intelligence (BI) experience, SSBI flexibility, SSBI expected time savings and the importance of data quality. The perceived attention of a company to data quality has a significant negative influence on the intention to use. These results imply that the mere introduction of SSBI is not sufficient for successful use. Training on how to use SSBI and how SSBI can change individual ways of working are important components. A well-designed concept for ensuring data quality also promotes the intention to use. In addition, we found that the utilitarian value is independent of the decision environment.
KW - contribution to information needs
KW - intention to use
KW - Self-service business intelligence
KW - structural equation modelling
UR - http://www.scopus.com/inward/record.url?scp=85082404226&partnerID=8YFLogxK
U2 - 10.1080/12460125.2020.1739884
DO - 10.1080/12460125.2020.1739884
M3 - Article
AN - SCOPUS:85082404226
VL - 29
SP - 1
EP - 26
JO - Journal of Decision Systems
JF - Journal of Decision Systems
SN - 1246-0125
IS - 1
ER -