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Factors Influencing E-Government Ado...

Fakhruzzaman, Muhammad Noor.

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Factors Influencing E-Government Adoption in Indonesia.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Factors Influencing E-Government Adoption in Indonesia./
Author:	Fakhruzzaman, Muhammad Noor.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
Description:	53 p.
Notes:	Source: Masters Abstracts International, Volume: 81-03.
Contained By:	Masters Abstracts International81-03.
Subject:	Mass communications. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13862766
ISBN:	9781085626484

Factors Influencing E-Government Adoption in Indonesia.
Fakhruzzaman, Muhammad Noor.

Factors Influencing E-Government Adoption in Indonesia. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 53 p.

Source: Masters Abstracts International, Volume: 81-03.

Thesis (M.S.)--Iowa State University, 2019.

This item must not be sold to any third party vendors.

The global diffusion of Information and Communication Technologies (ICTs) has facilitated the development of e-government services in all world regions. E-government refers to the use of online tools to deliver public services to citizens with the intent of increasing government efficiency and transparency as well as public participation. As one of the largest countries in Asia, Indonesia has made the deployment of e-government services a priority. However, developing and supporting the country's governance through an online integrated system within such a vast country has been a challenge. The purpose of this research is to investigate what factors affect the rate of adoption of e-government services among Indonesians. The study is based on the Technology Acceptance Model (TAM), a classic model of technology diffusion that incorporates perceived usefulness and perceived ease of use as the key conceptual factors that affect adoption. Extending the TAM model, the study introduces several other factors to understand e-government adoption, namely perceived risk, social influence, and trust. The study is based on an online survey of students enrolled in several universities in Indonesia (N=472). Structural Equation Modeling (SEM) technique is applied to test the extended conceptual model. The findings of this study support the original TAM model, but also identify perceived risk as an important predictor. Perceived risk affects intention to use directly, and also acts as a mediating variable between perceived ease of use and intention to use. The study has important implications for policy makers and government officials who aim to increase e-government use in the country. From a human-computer interaction perspective, it becomes clear that designers need to take user perception of risk into account when trying to promote any new online system.

ISBN: 9781085626484Subjects--Topical Terms:

3422380
Mass communications.
Subjects--Index Terms:

E-government

Factors Influencing E-Government Adoption in Indonesia.
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300 $a 53 p.
500 $a Source: Masters Abstracts International, Volume: 81-03.
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520 $a The global diffusion of Information and Communication Technologies (ICTs) has facilitated the development of e-government services in all world regions. E-government refers to the use of online tools to deliver public services to citizens with the intent of increasing government efficiency and transparency as well as public participation. As one of the largest countries in Asia, Indonesia has made the deployment of e-government services a priority. However, developing and supporting the country's governance through an online integrated system within such a vast country has been a challenge. The purpose of this research is to investigate what factors affect the rate of adoption of e-government services among Indonesians. The study is based on the Technology Acceptance Model (TAM), a classic model of technology diffusion that incorporates perceived usefulness and perceived ease of use as the key conceptual factors that affect adoption. Extending the TAM model, the study introduces several other factors to understand e-government adoption, namely perceived risk, social influence, and trust. The study is based on an online survey of students enrolled in several universities in Indonesia (N=472). Structural Equation Modeling (SEM) technique is applied to test the extended conceptual model. The findings of this study support the original TAM model, but also identify perceived risk as an important predictor. Perceived risk affects intention to use directly, and also acts as a mediating variable between perceived ease of use and intention to use. The study has important implications for policy makers and government officials who aim to increase e-government use in the country. From a human-computer interaction perspective, it becomes clear that designers need to take user perception of risk into account when trying to promote any new online system.
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