Titre :

Acceptance of text-mining systems: The signaling role of information quality

Auteur(s) :

Demoulin, Nathalie [Auteur]
Lille économie management - UMR 9221 [LEM]
Coussement, Kristof [Auteur]
Lille économie management - UMR 9221 [LEM]

Titre de la revue :

Information and Management

Éditeur :

Elsevier

Date de publication :

2018-10-29

ISSN :

0378-7206

Mot(s)-clé(s) en anglais :

Technology acceptance model (TAM)
Text mining
Big data
Information quality
Top management support

Discipline(s) HAL :

Sciences de l'Homme et Société/Gestion et management

Résumé en anglais : [en]

The popularity of the big data domain has boosted corporate interest in collecting and storing tremendous amounts of consumers’ textual information. However, decision makers are often overwhelmed by the abundance of ...
Lire la suite >The popularity of the big data domain has boosted corporate interest in collecting and storing tremendous amounts of consumers’ textual information. However, decision makers are often overwhelmed by the abundance of information, and the usage of text mining (TM) tools is still at its infancy. This study validates an extended technology acceptance model integrating information quality (IQ) and top management support. Results confirm that IQ influences behavioral intentions and TM tools usage, through perceptions of external control, perceived ease of use, and perceived usefulness; top management support also has a key role in determining the usage of TM tools.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :

• Lille Économie Management (LEM) - UMR 9221

Source :

Harvested from HAL