An evaluation of business intelligence tools: a cluster analysis of users’ perceptions - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Intelligence Studies in Business Année : 2016

An evaluation of business intelligence tools: a cluster analysis of users’ perceptions

Résumé

The purpose of this paper is to discuss and evaluate the use of Business Intelligence (BI) tools by professionals and students to help designers of these tools get the best efficiency out of a watch system. A questionnaire is sent to users of Business Intelligence tools addressed to French companies in different trades and engineering students and the most pertinent replies were examined. The responses were analyzed by using the statistical software SPAD. A literature research was conducted in the area of Management Information Systems (MIS) with two evaluation models: Task-Technology Fit (Goodhue & Thompson, 1995) and Technology Acceptance Model (Davis, 1989). Results showed a typology from the various profiles of users of this technology by using the method of classification. We note different perceptions between professional and student users. Although this study remains focused on individual perspective, it requires more examination about the organizational impact of the use of BI tools. The identification of the different user profiles was done by using a cluster analysis. For the designers of BI tools these results highlight the importance of user perception, suggesting designers take into account the perception of all user types. As these tools develop, more and more companies will be looking for skills for monitoring and management of strategic information.
Fichier principal
Vignette du fichier
Art_Fatma_Narcisse_V9022016.pdf (327.58 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03165570 , version 1 (16-01-2024)

Identifiants

Citer

Fatma Fourati-Jamoussi, Claude Narcisse Niamba. An evaluation of business intelligence tools: a cluster analysis of users’ perceptions. Journal of Intelligence Studies in Business, 2016, 6 (1), ⟨10.37380/jisib.v6i1.152⟩. ⟨hal-03165570⟩
40 Consultations
17 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More