A model for citizens' self-knowledge that influences intention to participate in e-government public decision making

The success of an e-government information system could be determined by the citizens' intention to participate in public decision-making to use the technology for future benefits. There is lack of participation of citizens in e-governments implementation in most developing countries where thei...

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Main Author: Abdulraheem, Maky h.
Format: Thesis
Language:eng
eng
eng
Published: 2018
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id my-uum-etd.7464
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
eng
advisor Sheik Osman, Wan Rozaini
Mohd Nadzir, Maslinda
topic T58.6-58.62 Management information systems
spellingShingle T58.6-58.62 Management information systems
Abdulraheem, Maky h.
A model for citizens' self-knowledge that influences intention to participate in e-government public decision making
description The success of an e-government information system could be determined by the citizens' intention to participate in public decision-making to use the technology for future benefits. There is lack of participation of citizens in e-governments implementation in most developing countries where their opinions are not taken into considerations. This study has been conducted to identify the citizens' intentions to participate in the public decision-making of the e-government. The first objective of this research is to identify the factors that influence the citizens' intention to participate in the public decision-making of the e-government. The second objective examines the citizens‘ self-knowledge characteristics that will moderate the relationship between the influencing factors and the citizens‘ intentions to participate in the public decision-making of the e-government. The third objective is the development of a research model of the citizens' intentions to participate in the public decision-making of the e-government. The research utilised the quantitative approach by distributing 501 questionnaires to four groups of respondents. Only 474 questionnaires were usable, representing a 94.6 % rate. The data was analysed utilising SPSS v21 to examine the relationships between the study‘s contributing factors with the moderators. The following factors, the attitude towards act or behaviour (ATB), subjective norms (SN), social influence (SI), facilitating condition (FC), compatibility (CO), and culture (CU), were identified to influence citizen intention to participate. Their different requirements have a potential impact on the public decision-making in the e-government. The research also took into consideration other factors which would contribute as moderator factors like gender, age, level of education, social group, working sector, and Internet experiences. The research has contributed to the body of knowledge by merging the concepts of the Theory of Planned Behaviour (TPB), two concepts from the UTAUT2 theory, and one concept from the DOI theory in this research. A model for citizens‘ self-knowledge that influences intention to participate in e-government public decision making is presented.
format Thesis
qualification_name Ph.D.
qualification_level Doctorate
author Abdulraheem, Maky h.
author_facet Abdulraheem, Maky h.
author_sort Abdulraheem, Maky h.
title A model for citizens' self-knowledge that influences intention to participate in e-government public decision making
title_short A model for citizens' self-knowledge that influences intention to participate in e-government public decision making
title_full A model for citizens' self-knowledge that influences intention to participate in e-government public decision making
title_fullStr A model for citizens' self-knowledge that influences intention to participate in e-government public decision making
title_full_unstemmed A model for citizens' self-knowledge that influences intention to participate in e-government public decision making
title_sort model for citizens' self-knowledge that influences intention to participate in e-government public decision making
granting_institution Universiti Utara Malaysia
granting_department Awang Had Salleh Graduate School of Arts & Sciences
publishDate 2018
url https://etd.uum.edu.my/7464/1/Depositpermission_s95795.pdf
https://etd.uum.edu.my/7464/2/s95795_01.pdf
https://etd.uum.edu.my/7464/3/s95795_02.pdf
_version_ 1747828222647599104
spelling my-uum-etd.74642021-08-09T03:08:29Z A model for citizens' self-knowledge that influences intention to participate in e-government public decision making 2018 Abdulraheem, Maky h. Sheik Osman, Wan Rozaini Mohd Nadzir, Maslinda Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences T58.6-58.62 Management information systems The success of an e-government information system could be determined by the citizens' intention to participate in public decision-making to use the technology for future benefits. There is lack of participation of citizens in e-governments implementation in most developing countries where their opinions are not taken into considerations. This study has been conducted to identify the citizens' intentions to participate in the public decision-making of the e-government. The first objective of this research is to identify the factors that influence the citizens' intention to participate in the public decision-making of the e-government. The second objective examines the citizens‘ self-knowledge characteristics that will moderate the relationship between the influencing factors and the citizens‘ intentions to participate in the public decision-making of the e-government. The third objective is the development of a research model of the citizens' intentions to participate in the public decision-making of the e-government. The research utilised the quantitative approach by distributing 501 questionnaires to four groups of respondents. Only 474 questionnaires were usable, representing a 94.6 % rate. The data was analysed utilising SPSS v21 to examine the relationships between the study‘s contributing factors with the moderators. The following factors, the attitude towards act or behaviour (ATB), subjective norms (SN), social influence (SI), facilitating condition (FC), compatibility (CO), and culture (CU), were identified to influence citizen intention to participate. Their different requirements have a potential impact on the public decision-making in the e-government. The research also took into consideration other factors which would contribute as moderator factors like gender, age, level of education, social group, working sector, and Internet experiences. The research has contributed to the body of knowledge by merging the concepts of the Theory of Planned Behaviour (TPB), two concepts from the UTAUT2 theory, and one concept from the DOI theory in this research. A model for citizens‘ self-knowledge that influences intention to participate in e-government public decision making is presented. 2018 Thesis https://etd.uum.edu.my/7464/ https://etd.uum.edu.my/7464/1/Depositpermission_s95795.pdf text eng public https://etd.uum.edu.my/7464/2/s95795_01.pdf text eng public https://etd.uum.edu.my/7464/3/s95795_02.pdf text eng public http://sierra.uum.edu.my/record=b1697796~S1 Ph.D. doctoral Universiti Utara Malaysia Abaas, T. J., Shibghatullah, A. S., & Jaber, M. M. (2014). Use information sharing environment concept to design electronic intelligence framework for support e-government: Iraq as case study. Journal of Creative Behavior, 4, 22-24. Abbas, T. (2016). Effective environmental factors to performance of electronic information sharing in Iraqi intelligence. Journal of Engineering and Applied Sciences, 100(3), 452-461. Abbasi, Tarhini, Hassouna, & Shah. (2015). 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