Local e-government is the application of appropriate Information and Communication Technologies (ICTs) at the local government level to improve the administration and provision of local government services to local residents. The purpose of this conceptual framework is to explore the determinants influencing the intention to adopt and use local e-government services. This research will also to seek to differentiate between informational and transactional local e-government services and to examine factors influencing local residents to desire to use either transactional or informational local e-government or both. Factors such as Perceived Usefulness, Perceived Ease of Use, Computer Self-efficacy, Perceived Service Quality, Demographic Factors, Trust in Local Government, Trust in the Internet and Perceived Risk will be investigated. The Technology Acceptance Model (TAM) will be used as the theoretical framework for this study. A well-structured research questionnaire instrument would be developed and administered to 1,000 potential respondents at four different local government jurisdictions in Ghana. The data gathered would be captured and analyzed with SPSS while a further detailed analysis would be conducted using the Structural Equation Modeling (SEM) method.
| Published in | Advances in Networks (Volume 5, Issue 2) |
| DOI | 10.11648/j.net.20170502.11 |
| Page(s) | 31-39 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2017. Published by Science Publishing Group |
E-government, Local e-government, Public Service Delivery, Local Government, Technology Acceptance Model (TAM)
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APA Style
Isaac Kofi Mensah, Mi Jianing. (2017). An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services: A Conceptual Framework. Advances in Networks, 5(2), 31-39. https://doi.org/10.11648/j.net.20170502.11
ACS Style
Isaac Kofi Mensah; Mi Jianing. An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services: A Conceptual Framework. Adv. Netw. 2017, 5(2), 31-39. doi: 10.11648/j.net.20170502.11
AMA Style
Isaac Kofi Mensah, Mi Jianing. An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services: A Conceptual Framework. Adv Netw. 2017;5(2):31-39. doi: 10.11648/j.net.20170502.11
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Download@article{10.11648/j.net.20170502.11,
author = {Isaac Kofi Mensah and Mi Jianing},
title = {An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services: A Conceptual Framework},
journal = {Advances in Networks},
volume = {5},
number = {2},
pages = {31-39},
doi = {10.11648/j.net.20170502.11},
url = {https://doi.org/10.11648/j.net.20170502.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.net.20170502.11},
abstract = {Local e-government is the application of appropriate Information and Communication Technologies (ICTs) at the local government level to improve the administration and provision of local government services to local residents. The purpose of this conceptual framework is to explore the determinants influencing the intention to adopt and use local e-government services. This research will also to seek to differentiate between informational and transactional local e-government services and to examine factors influencing local residents to desire to use either transactional or informational local e-government or both. Factors such as Perceived Usefulness, Perceived Ease of Use, Computer Self-efficacy, Perceived Service Quality, Demographic Factors, Trust in Local Government, Trust in the Internet and Perceived Risk will be investigated. The Technology Acceptance Model (TAM) will be used as the theoretical framework for this study. A well-structured research questionnaire instrument would be developed and administered to 1,000 potential respondents at four different local government jurisdictions in Ghana. The data gathered would be captured and analyzed with SPSS while a further detailed analysis would be conducted using the Structural Equation Modeling (SEM) method.},
year = {2017}
}
TY - JOUR T1 - An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services: A Conceptual Framework AU - Isaac Kofi Mensah AU - Mi Jianing Y1 - 2017/11/01 PY - 2017 N1 - https://doi.org/10.11648/j.net.20170502.11 DO - 10.11648/j.net.20170502.11 T2 - Advances in Networks JF - Advances in Networks JO - Advances in Networks SP - 31 EP - 39 PB - Science Publishing Group SN - 2326-9782 UR - https://doi.org/10.11648/j.net.20170502.11 AB - Local e-government is the application of appropriate Information and Communication Technologies (ICTs) at the local government level to improve the administration and provision of local government services to local residents. The purpose of this conceptual framework is to explore the determinants influencing the intention to adopt and use local e-government services. This research will also to seek to differentiate between informational and transactional local e-government services and to examine factors influencing local residents to desire to use either transactional or informational local e-government or both. Factors such as Perceived Usefulness, Perceived Ease of Use, Computer Self-efficacy, Perceived Service Quality, Demographic Factors, Trust in Local Government, Trust in the Internet and Perceived Risk will be investigated. The Technology Acceptance Model (TAM) will be used as the theoretical framework for this study. A well-structured research questionnaire instrument would be developed and administered to 1,000 potential respondents at four different local government jurisdictions in Ghana. The data gathered would be captured and analyzed with SPSS while a further detailed analysis would be conducted using the Structural Equation Modeling (SEM) method. VL - 5 IS - 2 ER -
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