The study of technology acceptance behavior for national tax administration staff under e-government policy.

碩士 === 國立中山大學 === 公共事務管理研究所 === 89 === Abstract Following the vigorous development of the information and internet technology, the National Tax Administrations are now facing the challenges from the changes of the inner and outer environment. Due to the update of the information operating platfo...

Full description

Bibliographic Details
Main Authors: Shu-Feng Chen, 陳淑鳳
Other Authors: none
Format: Others
Language:zh-TW
Published: 2001
Online Access:http://ndltd.ncl.edu.tw/handle/77031976392200981701
Description
Summary:碩士 === 國立中山大學 === 公共事務管理研究所 === 89 === Abstract Following the vigorous development of the information and internet technology, the National Tax Administrations are now facing the challenges from the changes of the inner and outer environment. Due to the update of the information operating platform as well as the drive of e-government from the Executive Yuan, the government officials need to have abilities to learn new information technology; otherwise, they will fail to be qualified on their jobs. However, there are not too many studies about the degree of acceptance of officials on learning new technology. It is necessary to provide an approach to figure out acceptance degree of officials for information technology. We provide an integrated model called the Technology Acceptance Model on government officials. The model incorporates a wide variety of important factors into a theoretical framework provided by "Technology Acceptance Model, TAM" (Davis, 1989) and "Theory of Planned Behavior, TPB" (Ajzen, 1985). We collect data from a sample of staffs of the five local tax administrations and we analyze the data using the Structural Equation Modeling. The results of this research indicate that essential factors and show what factors affect the behavior of the government officials on accepting new technology and e-government. In addition, the model provides a good fit because of fit indices and explanatory powers for behavior. That is, we can use the model to predict the officials’ behavior on using tax information system.