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

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  • Fatma Fourati-Jamoussi

    (INTERACT - Innovation, Territoire, Agriculture et Agro-industrie, Connaissance et Technologie - UniLaSalle)

  • Claude Narcisse Niamba

Abstract

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.

Suggested Citation

  • Fatma Fourati-Jamoussi & Claude Narcisse Niamba, 2016. "An evaluation of business intelligence tools: a cluster analysis of users’ perceptions," Post-Print hal-03165570, HAL.
    • Handle: RePEc:hal:journl:hal-03165570
    DOI: 10.37380/jisib.v6i1.152
    Note: View the original document on HAL open archive server: https://hal.science/hal-03165570
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    1. repec:dau:papers:123456789/13445 is not listed on IDEAS
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    1. repec:eur:ejesjr:377 is not listed on IDEAS
    2. Teixeira Ana & Oliveira Tiago & Varajão João, 2019. "Evaluation of Business Intelligence Projects Success – a Case Study," Business Systems Research, Sciendo, vol. 10(1), pages 1-12, April.
    3. Fatma Fourati-Jamoussi & Claude-Narcisse Niamba & Julien Duquennoy, 2018. "An evaluation of competitive and technological intelligence tools: A cluster analysis of users’ perceptions," Post-Print hal-03165565, HAL.

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