Characterizing business intelligence tasks, use and users in the workplace


  • Tanja Svarre Aalborg Universitet
  • Rikke Gaardboe Aalborg Universitet



Business intelligence, information system use, workplace studies


This paper investigates business intelligence (BI) tasks, use and users in aworkplace setting. The study reports on a mixed methods study of users in three different typesof organisations employing BI. 1052 respondents answered a survey and 15 individual and 3group interviews were conducted to elaborate on the survey results. The study finds that themajority of public BI users are employees, and fewer managers and students, that are handlinga variety of tasks. Although they can experience challenges learning and using the BI system,they are still satisfied with it from different perspectives.


Brynjolfsson, E., Hitt, L. M., & Kim, H. H. (2011).

Strength in Numbers: How Does Data-Driven

Decisionmaking Affect Firm Performance?

SSRN Electronic Journal.

Byström Katriina, & Hansen Preben. (2005).

Conceptual framework for tasks in

information studies. Journal of the American

Society for Information Science and

Technology, 56(10), 1050–1061.

Chen, H., Chiang, R. H., & Storey, V. C. (2012).

Business intelligence and analytics: From big

data to big impact. MIS Quarterly, 36(4),


Choudrie, J. (2005). Investigating the Research

Approaches for Examining Technology

Adoption Issues. Journal of Research Practice,

(1), D1.

Crystal, A., & Ellington, B. (2004). Task analysis

and human-computer interaction: approaches,

techniques, and levels of analysis. AMCIS

Proceedings, 391.

DeLone, W. H., & McLean, E. R. (1992).

Information Systems Success: The Quest for

the Dependent Variable. Information Systems

Research, 3(1), 60–95.

Dishaw, M. T., & Strong, D. M. (2003). The effect

of task and tool experience on maintenance

CASE tool usage. Information Resources

Management Journal; Hershey, 16(3), 1–16.

Dörfler, A. (2003). Business process modelling

and help systems as part of KM in egovernment

(pp. 297–303). Presented at the

IFIP International Working Conference on

Knowledge Management in Electronic

Government, Springer.

Dourish, P. (2003). The Appropriation of

Interactive Technologies: Some Lessons from

Placeless Documents. Computer Supported

Cooperative Work: The Journal of

Collaborative Computing, 12(4), 465–490.

Driscoll, D. L., Appiah-Yeboah, A., Salib, P., &

Rupert, D. J. (2007). Merging qualitative and

quantitative data in mixed methods research:

How to and why not. Ecological and

Environmental Anthropology (University of

Georgia), 18.

García, J. M. V., & Pinzón, B. H. D. (2017). Key

success factors to business intelligence

solution implementation. Journal of

Intelligence Studies in Business, 7(1).

Retrieved from

Gartner Survey of More Than 2,500 CIOs Charts

the Rise of the Digital Ecosystem. (n.d.).

Retrieved March 27, 2017, from

Iivari, J. (2005). An Empirical Test of the

DeLone-McLean Model of Information System

Success. SIGMIS Database, 36(2), 8–27.

Ingwersen, P., & Järvelin, K. (2005). The Turn:

Integration of Information Seeking and

Retrieval in Context. Springer Netherlands.

Retrieved from


Jürgensen, J. (2012). The Effects of Digitalization

of SU on the Work of SU Workers. CBS,


Kraemer, K. L., & Dedrick, J. (1997). Computing

and public organizations. Journal of Public

Administration Research and Theory, 7(1),


Li, Y., & Belkin, N. J. (2008). A faceted approach

to conceptualizing tasks in information

seeking. Information Processing &

Management, 44(6), 1822–1837.

Marshall, T. E., Byrd, T. A., Gardiner, L. R., &

Rainer, R. K. (2000). Technology Acceptance

and Performance: An Investigation into

Requisite Knowledge. Information Resources

Management Journal, 13(3), 33–45.

Negash, S., & Gray, P. (2008). Business

intelligence. In Business intelligence:

Handbook on decision support systems 2.

Berlin: Springer. Retrieved from https://doiorg.


Nielsen, J. (1994). Estimating the number of

subjects needed for a thinking aloud test.

International Journal of Human-Computer

Studies, 41(3), 385–387.

Petter, S., DeLone, W., & McLean, E. R. (2013).

Information Systems Success: The Quest for

the Independent Variables. Journal of

Management Information Systems, 29(4), 7–

Rai, A., Lang, S. S., & Welker, R. B. (2002).

Assessing the Validity of IS Success Models:

An Empirical Test and Theoretical Analysis.

Information Systems Research, 13(1), 50–69.

Removed, A. (n.d.). Article removed.

Salmasi, M. K., Talebpour, A., & Homayounvala,

E. (2016). Identification and classification of

organizational level competencies for BI

success. Journal of Intelligence Studies in

Business, 6(2), 17–33.

Seddon, P. B., Staples, S., Patnayakuni, R., &

Bowtell, M. (1999). Dimensions of information

systems success. Communications of the AIS,

(3es), 5.

Snellen, I. (2002). Electronic governance:

implications for citizens, politicians and public

servants. International Review of

Administrative Sciences, 68(2), 183–198.

Stanton, N. A. (2006). Hierarchical task analysis:

Developments, applications, and extensions.

Applied Ergonomics, 37(1), 55–79.

Thompson, R. L., Higgins, C. A., & Howell, J. M.

(1994). Influence of Experience on Personal

Computer Utilization: Testing a Conceptual

Model. Journal of Management Information

Systems, 11(1), 167–187.

Wixom, B., & Watson, H. (2010). The BI-Based

Organization: International Journal of

Business Intelligence Research, 1(1), 13–28.

Worley, J. H., Chatha, K. A., Weston, R. H.,

Aguirre, O., & Grabot, B. (2005).

Implementation and optimisation of ERP

systems: A better integration of processes,

roles, knowledge and user competencies.

Computers in Industry, 56(6), 620–638.