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

被引：59

作者：

Demoulin, Nathalie T. M. ^{[1
]}

Coussement, Kristof ^{[2
]}

机构：

[1] CNRS, Mkt IESEG Sch Management, LEM, UMR 9221, 3 Rue Digue, F-59000 Lille, France

[2] CNRS, Mkt Analyt IESEG Sch Management, LEM, UMR 9221, 3 Rue Digue, F-59000 Lille, France

来源：

INFORMATION & MANAGEMENT | 2020年 / 57卷 / 01期

关键词：

Technology acceptance model (TAM); Text mining; Big data; Information quality; Top management support; TECHNOLOGY ACCEPTANCE; USER ACCEPTANCE; PERCEIVED EASE; TOP MANAGEMENT; SOCIAL MEDIA; ADOPTION; MODEL; DETERMINANTS; RELEVANCE; FRAMEWORK;

D O I：

10.1016/j.im.2018.10.006

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页数：11

共 91 条

[1]

Agmon Nachman., 1987, J MANAGE INF SYST, V4, P33

[2] THE THEORY OF PLANNED BEHAVIOR [J].

AJZEN, I .

ORGANIZATIONAL BEHAVIOR AND HUMAN DECISION PROCESSES, 1991, 50 (02) :179-211

[3]

Ajzen I., 1980, Understanding attitudes and predicting social behavior

[4]

[Anonymous], 1980, Understanding attitudes and predicting social behaviour

[5]