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An examination of the e-government service value chain

Authors :
Piyush Gupta
Amit Sachan
Ritu Kumar
Rajiv Kumar
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.

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