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

Nathalie T.M. Demoulin, Kristof Coussement

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number103120
JournalInformation and Management
Volume57
Issue number1
DOIs
Publication statusPublished - Jan 2020
Externally publishedYes

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