An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services: A Conceptual Framework
Science, Technology & Public Policy
Volume 1, Issue 3, June 2017, Pages: 58-66
Received: Mar. 12, 2017; Accepted: Mar. 24, 2017; Published: Apr. 19, 2017
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Isaac Kofi Mensah, Department of Public Administration, School of Management, Harbin Institute of Technology, Harbin, China
Mi Jianing, School of Management, Harbin Institute of Technology, Harbin China
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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.
E-government, Local e-government, Public Service Delivery, Local Government, Technology Acceptance Model (TAM)
To cite this article
Isaac Kofi Mensah, Mi Jianing, An Empirical Investigation of Factors Predicting the Adoption and Use of Local E-government Services: A Conceptual Framework, Science, Technology & Public Policy. Vol. 1, No. 3, 2017, pp. 58-66. doi: 10.11648/j.stpp.20170103.13
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