Title :

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

Author(s) :

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

Journal title :

Information and Management

Publisher :

Elsevier

Publication date :

2018-10-29

ISSN :

0378-7206

English keyword(s) :

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

HAL domain(s) :

Sciences de l'Homme et Société/Gestion et management

English abstract : [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 ...
Show more >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.Show less >

Language :

Anglais

Popular science :

Non

Collections :

• Lille Économie Management (LEM) - UMR 9221

Source :

Harvested from HAL