Business Intelligence as Innovation support activity. Algerian enterprises case study.

Abstract

In this thesis, we sought to understand the innovation strategies of Algerian enterprises; we focused on Business Intelligence (BI) as a factor influencing innovation within the enterprise. Drawing on the theoretical literature, we identified absorptive capacity as the factor linking Business Intelligence and innovation, and we adopted a proposed model, which encompasses all study variables. We employed a descriptive approach for the theoretical aspect as well as an analytical approach. To test the study’s hypotheses, we designed a questionnaire that was distributed to a number of Algerian enterprises (118), during their participation in the 31st edition of the National Production Fair in 2023. The questionnaire was analyzed using factor analysis to test the stability of the measurement scales and linear regression to determine the relationship between the study variables. The results showed a positive effect of Business Intelligence on absorptive capacity, as well as a positive (albeit slight) effect of absorptive capacity on innovation. Finally, the study’s research question was answered by confirming the hypothesis that Business Intelligence has a positive effect on innovation within Algerian enterprises.