An integrated model for predicting users’ continuance intention towards using open government data in Qatar state

Governments in every country including Qatar have spent huge amounts of money on the development of electronic government services generally and specifically in open government data (OGD) to increase transparency and accountability in government’s operations and services. However, Qatar's open...

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Main Author:	Al-Jamili, Omar Naji Mohammed
Format:	Thesis
Language:	eng eng eng
Published:	2023
Subjects:	T58.5-58.64 Information technology
Online Access:	https://etd.uum.edu.my/11007/1/Depositpermission-embargo%2011%20month_s902956.pdf https://etd.uum.edu.my/11007/2/s902956_01.pdf https://etd.uum.edu.my/11007/3/s902956_02.pdf
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id	my-uum-etd.11007
record_format	uketd_dc
spelling	my-uum-etd.110072024-02-22T01:47:52Z An integrated model for predicting users’ continuance intention towards using open government data in Qatar state 2023 Al-Jamili, Omar Naji Mohammed Ibrahim, Huda Ahmad, Rahayu Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduates School of Arts & Sciences T58.5-58.64 Information technology Governments in every country including Qatar have spent huge amounts of money on the development of electronic government services generally and specifically in open government data (OGD) to increase transparency and accountability in government’s operations and services. However, Qatar's open government data is still in its early stages and also facing a problem with a low level of continuance intention. Despite increases in investments and expenses in the development of OGD. Yet it is found that the direct antecedents of OGD continuance intention have been less studied. In this vein, investigating the continuance intention of OGD is important. As the more users continuously use the OGD, the more benefits to society and economic development. To fill in the identified gap, the aim of the current study is to investigate the influence of confirmation, satisfaction, perceived usefulness, information quality, system quality, perceived cost, trust in government, and trust in OGD portal on OGD among the users in Qatar. The results of this study were obtained from 225 users of OGD in Qatar. Overall, most of the hypotheses developed were supported by the acceptable beta value. The results of the analysis using SmartPLS revealed that confirmation, perceived usefulness, information quality, perceived cost, and trust in government, have a significant positive influence on OGD continuance intention while system quality and trust have an insignificant influence. Additionally, satisfaction was found to mediate the relationship between confirmation, perceived usefulness, information quality, and OGD continuance intention. Hence, the finding of this study implies that the full benefits and success of OGD cannot be realized without continued usage. E-government services can be considered a success if a significant number of users move beyond the initial adoption and use the OGD on a continual basis. 2023 Thesis https://etd.uum.edu.my/11007/ https://etd.uum.edu.my/11007/1/Depositpermission-embargo%2011%20month_s902956.pdf text eng 2024-12-14 staffonly https://etd.uum.edu.my/11007/2/s902956_01.pdf text eng 2024-12-14 staffonly https://etd.uum.edu.my/11007/3/s902956_02.pdf text eng staffonly other doctoral Universiti Utara Malaysia
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng eng
advisor	Ibrahim, Huda Ahmad, Rahayu
topic	T58.5-58.64 Information technology
spellingShingle	T58.5-58.64 Information technology Al-Jamili, Omar Naji Mohammed An integrated model for predicting users’ continuance intention towards using open government data in Qatar state
description	Governments in every country including Qatar have spent huge amounts of money on the development of electronic government services generally and specifically in open government data (OGD) to increase transparency and accountability in government’s operations and services. However, Qatar's open government data is still in its early stages and also facing a problem with a low level of continuance intention. Despite increases in investments and expenses in the development of OGD. Yet it is found that the direct antecedents of OGD continuance intention have been less studied. In this vein, investigating the continuance intention of OGD is important. As the more users continuously use the OGD, the more benefits to society and economic development. To fill in the identified gap, the aim of the current study is to investigate the influence of confirmation, satisfaction, perceived usefulness, information quality, system quality, perceived cost, trust in government, and trust in OGD portal on OGD among the users in Qatar. The results of this study were obtained from 225 users of OGD in Qatar. Overall, most of the hypotheses developed were supported by the acceptable beta value. The results of the analysis using SmartPLS revealed that confirmation, perceived usefulness, information quality, perceived cost, and trust in government, have a significant positive influence on OGD continuance intention while system quality and trust have an insignificant influence. Additionally, satisfaction was found to mediate the relationship between confirmation, perceived usefulness, information quality, and OGD continuance intention. Hence, the finding of this study implies that the full benefits and success of OGD cannot be realized without continued usage. E-government services can be considered a success if a significant number of users move beyond the initial adoption and use the OGD on a continual basis.
format	Thesis
qualification_name	other
qualification_level	Doctorate
author	Al-Jamili, Omar Naji Mohammed
author_facet	Al-Jamili, Omar Naji Mohammed
author_sort	Al-Jamili, Omar Naji Mohammed
title	An integrated model for predicting users’ continuance intention towards using open government data in Qatar state
title_short	An integrated model for predicting users’ continuance intention towards using open government data in Qatar state
title_full	An integrated model for predicting users’ continuance intention towards using open government data in Qatar state
title_fullStr	An integrated model for predicting users’ continuance intention towards using open government data in Qatar state
title_full_unstemmed	An integrated model for predicting users’ continuance intention towards using open government data in Qatar state
title_sort	integrated model for predicting users’ continuance intention towards using open government data in qatar state
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2023
url	https://etd.uum.edu.my/11007/1/Depositpermission-embargo%2011%20month_s902956.pdf https://etd.uum.edu.my/11007/2/s902956_01.pdf https://etd.uum.edu.my/11007/3/s902956_02.pdf
_version_	1794023806823563264

An integrated model for predicting users’ continuance intention towards using open government data in Qatar state

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