Objective: Today, many healthcare organizations have implemented health care reporting systems in the hope of learning from experience to prevent or reduce adverse events, medical errors or accidents. However, most applications have failed or not been implemented as predicted. This study presents an extended technology acceptance model (TAM) that integrates subjective norm, trust, and management support into the TAM to investigate what determines healthcare professional reporting system acceptance.
Design: The proposed model was empirically tested using data collected from a survey in the hospital environment. The structural equation modeling technique was used to evaluate the causal model and confirmatory factor analysis was performed to examine the reliability and validity of the measurement model.
Measurements: Questionnaire administered items measuring the behavioral intention to use the reporting system and five hypothesized antecedents.
Results: Our findings indicated that all variables significantly affected healthcare professionals¡¦ behavioral intention to use the reporting system. Among them, the subjective norm had the most significant influence.
Conclusion: The proposed model provides a means to understand what factors determine healthcare professional¡¦s behavioral intention to use a reporting system and how this may affect future use. In addition, antecedents to the behavioral intent can be used to predict reporting system acceptance in advance of system development.
Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0308107-191942 |
Date | 08 March 2007 |
Creators | Shen, Wen-Hsin |
Contributors | Chih-Liang Yaung, Jen-Her Wu, Ying-Chun Li |
Publisher | NSYSU |
Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0308107-191942 |
Rights | off_campus_withheld, Copyright information available at source archive |
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