Back to Search
Start Over
An examination of the e-government service value chain
- Source :
- Information Technology & People. 34:889-911
- Publication Year :
- 2020
- Publisher :
- Emerald, 2020.
-
Abstract
- PurposeE-government quality (e-GovQual) and e-government user value (e-GUV) are multidimensional concepts. While previous studies have identified apparent factors influencing e-government satisfaction (e-GovSat) and e-government adoption intention (e-GovAI), such as e-GovQual and e-GUV, but they have neglected to explain the influence of the dimensions of these two concepts. The purpose of this research is to study e-government service value chain (e-GSVC) one-GovQual dimensions, e-GUV dimensions, e-GovSat and e-GovAI.Design/methodology/approachThe study employs a quantitative method to test the hypotheses and validate the proposed model. Data are collected from 378 e-government users across different parts of India comprising of different demographic characteristics. The model is analyzed using structural equation modeling.FindingsThe findings highlight the impact of the dimensions of e-GovQual (efficiency, trust, reliability and citizen support) on the dimensions of e-GUV (functional, economic, social and emotional value) as e-GUV dimensions affect e-GovSat, which in turn influences e-GovAI. The results validate the e-GSVC and also stress the partial mediating role of the dimensions of e-GUV on the relationship between the dimensions of e-GovQual and e-GovSat.Research limitations/implicationsThe sample size of 378 may not be a proper representation of a country like India, which has huge diversity within its vast population.Practical implicationsThe study offers practitioners a clear picture and a useful guide to better understand the drivers of value, satisfaction and adoption in the case of e-government users.Originality/valueThis study is probably the first attempt toward demonstrating the process influencing e-GovSat via e-GUV dimensions originating from excellent e-GovQual dimensions to ultimately trigger e-GovAI.
- Subjects :
- Service (business)
Knowledge management
Process (engineering)
business.industry
media_common.quotation_subject
Library and Information Sciences
Affect (psychology)
Computer Science Applications
Sample size determination
Quality (business)
Psychology
business
Value (mathematics)
Reliability (statistics)
Information Systems
Diversity (business)
media_common
Subjects
Details
- ISSN :
- 09593845
- Volume :
- 34
- Database :
- OpenAIRE
- Journal :
- Information Technology & People
- Accession number :
- edsair.doi...........7a65893fac900ceddeccf402f6c310b3
- Full Text :
- https://doi.org/10.1108/itp-09-2018-0438