TY - JOUR
T1 - Acceptance of text-mining systems
T2 - The signaling role of information quality
AU - Demoulin, Nathalie T.M.
AU - Coussement, Kristof
PY - 2020/1
Y1 - 2020/1
N2 - 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.
AB - 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.
KW - Big data
KW - Information quality
KW - Technology acceptance model (TAM)
KW - Text mining
KW - Top management support
UR - http://www.scopus.com/inward/record.url?scp=85056477334&partnerID=8YFLogxK
U2 - 10.1016/j.im.2018.10.006
DO - 10.1016/j.im.2018.10.006
M3 - Article
AN - SCOPUS:85056477334
SN - 0378-7206
VL - 57
JO - Information and Management
JF - Information and Management
IS - 1
M1 - 103120
ER -