An evaluation of competitive and technological intelligence tools: A cluster analysis of users’ perceptions
Journal of Intelligence Studies in Business
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Title |
An evaluation of competitive and technological intelligence tools: A cluster analysis of users’ perceptions
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Creator |
Fourati-Jamoussi, Fatma
Niamba, Claude-Narcisse Duquennoy, Julien |
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Subject |
Information Systems, Management
Competitive and technological intelligence, cluster analysis, TTF model, TAM model, user perception |
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Description |
The purpose of this article is to discuss and evaluate the use of competitive and technological intelligence (CTI) tools by students to help designers of these tools get the best efficiency out of a monitoring process. This article introduces an application of the cluster analysis method and the competitive and technological intelligence literature. In order to evaluate the use of CTI tools, we deal with two evaluation models: Task-Technology Fit (TTF) and the Technology Acceptance Model (TAM). A survey was sent to users of CTI tools addressed to engineering students and the most pertinent replies were examined. The responses were analyzed by using the statistical software SPAD. Results showed a typology from the various profiles of users of this technology by using the method of classification. We note different perceptions between student users. Although this study remains focused on the individual perspective, it requires more examination about the organizational impact of the use of CTI tools. The identification of the different user profiles was done by using a cluster analysis. For the designers of CTI 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 of future engineers for monitoring and management of strategic information. That’s why practical courses in CTI are taught to the students in order to take into account the companies’ needs.
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Publisher |
Journal of Intelligence Studies in Business
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Contributor |
—
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Date |
2018-04-10
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion — empirical |
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Format |
application/pdf
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Identifier |
https://ojs.hh.se/index.php/JISIB/article/view/301
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Source |
Journal of Intelligence Studies in Business; Vol 8, No 1 (2018): Journal of Intelligence Studies in Business
2001-015X 2001-0168 |
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Language |
eng
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Relation |
https://ojs.hh.se/index.php/JISIB/article/view/301/182
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Rights |
Copyright (c) 2018 Journal of Intelligence Studies in Business
http://creativecommons.org/licenses/by-nc-nd/4.0 |
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