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Modelling roles of task‐technology fit and self‐efficacy in hotel employees' usage behaviours of hotel information systems
Author(s) -
Kim Taegoo Terry,
Suh Yong Kun,
Lee Gyehee,
Choi Byong Gil
Publication year - 2010
Publication title -
international journal of tourism research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.155
H-Index - 58
eISSN - 1522-1970
pISSN - 1099-2340
DOI - 10.1002/jtr.787
Subject(s) - technology acceptance model , external variable , structural equation modeling , path analysis (statistics) , psychology , perception , marketing , test (biology) , task (project management) , robustness (evolution) , hotel industry , knowledge management , tourism , applied psychology , computer science , business , usability , management , human–computer interaction , economics , paleontology , biochemistry , chemistry , machine learning , neuroscience , gene , political science , law , biology , programming language
The purpose of this study was to examine the relationship between hotel information system (HIS) users' personal perceptions and beliefs of the given system and their daily routine usage intention via the technology acceptance model (TAM), considering the two external variables (motivational variables) of the model — ‘task‐technology fit’ (extrinsic motivation; system feature) and ‘self‐efficacy’ (intrinsic motivation; personal feature). Data were collected from hotel employees of 13 upscale hotels in Jeju, South Korea, and path analysis was utilised to test structural model and hypotheses. The results provided empirical support for an extended TAM, and verified its robustness in predicting hotel employees' intention to use a HIS. Copyright © 2010 John Wiley & Sons, Ltd.