An examination of the impact of business intelligence systems on organizational decision making and performance: The case of France

Sophian Gauzelin, Hugo Bentz


Turbulent times are a part of modern-day business, and the way a company
handles disruptive events determines its success. Various technological tools have been
developed to help businesses overcome unforeseen and anticipated events that may impact the
business. One such technological tool is business intelligent systems, which help to gather data
regarding business operations and environment turning it into information that can be clearly
understood. Large companies have adopted the use of these big data analytic systems, but most
small and medium sized enterprises (SMEs) lag behind. There is little information on how
business intelligence systems impact SME businesses. This study examined the impact of
business intelligence systems on organizational decision-making and performance. The study
consists of an empirical qualitative research that was carried out with interviews of 200
members of 10 selected SMEs. The study found out that when BI systems are deployed in SMEs,
they facilitate timely decision making, improves organizational efficiency, enable a company to
meet client’s needs appropriately and lead to more satisfied employees.


Business intelligence systems, competitive advantage, customer satisfaction, employee satisfaction, organization, SMEs

Full Text:



Amara, Y., Søilen, K. S., & Vriens, D. (2012).

Using the SSAV model to evaluate Business

Intelligence Software. Journal of Intelligence

Studies in Business, 2(3).

Boonsiritomachai, W., McGrath, M., & Burgess,

S. (2014, July). A research framework for the

adoption of Business Intelligence by Small and

Medium-sized enterprises. In Proceedings of

the 27th Annual Conference on Small

Enterprise Association of Australia & New

Zealand (pp. 1-22). SEAANZ.

Boonsiritomachai, W. (2014). Enablers affecting

the adoption of business intelligence: a study

of Thai small and medium-sized enterprises

(Doctoral dissertation, Victoria University).

Davenport, T.H. (2010). Business Intelligence

and Organizational Decisions. International

Journal of Business Intelligence Research,

(1): 1-12.

Eckerson, W. W. (2010). Performance

dashboards: measuring, monitoring, and

managing your business. John Wiley & Sons.

Elbashir, M. Z., Collier, P. A., & Davern, M. J.

(2008). Measuring the effects of business

intelligence systems: The relationship

between business process and organizational

performance. International Journal of

Accounting Information Systems, 9(3), 135-

Fourati-Jamoussi, F. and Niamba, C.N. (2016).

An evaluation of business intelligence tools: a

cluster analysis of users’ perceptions. Journal

of Intelligence Studies in Business, 6(1), 37-

Guarda, T., Santos, M., Pinto, F., Augusto, M., &

Silva, C. (2013). Business intelligence as a

competitive advantage for SMEs.

International Journal of Trade, Economics

and Finance, 4(4), 187.

Hatta, N. N. M., Miskon, S., Ali, N. M., Abdullah,

N. S., Ahmad, N., Hashim, H., ... & Maarof,

M. A. (2015). Business intelligence system

adoption theories in SMES: A literature

review. ARPN Journal of Engineering and

Applied Sciences, 10 (23).

Henri, J. F. (2004). Performance measurement

and organizational effectiveness: Bridging the

gap. Managerial Finance, 30(6), 93-123.

Jenster, P., & Søilen, K. S. (2013). The

Relationship between Strategic Planning and

Company Performance–A Chinese

perspective. Journal of Intelligence Studies in

Business, 3(1).

Lueg, R., & Lu, S. (2013). How to improve

efficiency in budgeting-The case of business

intelligence in SMEs. European Journal of

Management, 13(2): 109-120, 2013.

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

intelligence. Handbook on decision support

systems 2, 175-193.

Olszak, C. M., & Ziemba, E. (2012). Critical

success factors for implementing business

intelligence systems in small and medium

enterprises on the example of upper Silesia,

Poland. Interdisciplinary Journal of

Information, Knowledge, and Management,

(2), 129- 150.

Poleto, T., de Carvalho, V. D. H., & Costa, A. P.

C. S. (2015, May). The roles of big data in the

decision-support process: an empirical

investigation. In International Conference on

Decision Support System Technology (pp. 10-

. Springer International Publishing.

Ponis, S. T., & Christou, I. T. (2013). Competitive

intelligence for SMEs: a web-based decision

support system. International Journal of

Business Information Systems, 12(3), 243-

Popovič, A., Hackney, R., Coelho, P. S., & Jaklič,

J. (2012). Towards business intelligence

systems success: Effects of maturity and

culture on analytical decision making.

Decision Support Systems, 54(1), 729-739.

Puklavec, B., Oliveira, T., & Popovic, A. (2014).

Unpacking Business Intelligence Systems

Adoption Determinants: An Exploratory

Study of Small and Medium Enterprises.

Economic and Business Review for Central

and South-Eastern Europe, 16(2), 185.

Ramsey, J. R., & Bahia, B. R. (2013). How to

determine subsidiary performance based on

the internationalization strategy. Journal of

Management Policy and Practice, 14(1), 11.

Sabanovic, A., & Søilen, K. S. (2012). Customers’

Expectations and Needs in the Business

Intelligence Software Market. Journal of

Intelligence Studies in Business, 2(1).

Sabanovic, A. (2008). Business Intelligence

Software Customers’ Understanding,

Expectations and Needs.

Sheikhzadeh, M. (2017). The Survey of the

Impact of Productivity on Business

Intelligence (Case Study: Telecom Company of

Saravan City). International Journal of

Applied Business and Economic Research,

(5): 315-321.

Shields, P. and Rangarjan, N. (2013). A Playbook

for Research Methods: Integrating Conceptual

Frameworks and Project Management.

Stillwater, OK: New Forums Press.

Søilen, K. S. (2010). Boosting innovation and

knowledge through delocalization: market

intelligence at trade shows. Problems and

Perspectives in Management, 8(3), 200-207.

Søilen, K. S. (2012). An evaluation of Business

Intelligence Software systems in SMEs–a case

study. Journal of Intelligence Studies in

Business, 2(2).

Søilen, K. S. (2015). A place for intelligence

studies as a scientific discipline. Journal of

Intelligence Studies in Business, 5(3), 35-46.

Vesset, D., & McDonough, B. (2007). Worldwide

Business Intelligence Tools 2006 Vendor

Share. IDC Software Market Forecaster

database, 1.

Vizgaitytė, G., & Rimvydas, S. (2012). Business

Intelligence In The Process Of Decision

Making: Changes and Trends. Ekonomika, 91.

Wieder, B., & Ossimitz, M. L. (2015). The impact

of Business Intelligence on the quality of

decision making–a mediation model. Procedia

Computer Science, 64, 1163-1171.

Wieder, B., Chamoni, P., & Ossimitz, M. L.

(2012). The impact of business intelligence

tools on performance: a user satisfaction

paradox? International Journal of Economic

Sciences and Applied Research, (3), 7-32.

Yeboah-Boateng, E. O., & Essandoh, K. A. (2014).

Factors influencing the adoption of cloud

computing by small and medium enterprises

in developing economies. International

Journal of Emerging Science and Engineering,

(4), 13-20.


  • There are currently no refbacks.

Comments on this article

View all comments

JISIB is indexed by ESCI, SCOPUS, EBSCO, DOAJ, Google Scholar, EconBib and SCImago, and is ranked as a Level 1 publication by the Norwegian Social Science Data Services. JISIB has applied for admittance to Web of Science.