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E-government Usage by Polish Citizens

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Information Technology for Management. Ongoing Research and Development (ISM 2017, AITM 2017)

Abstract

The aim of this article is to present results of the research in the state of usage of basic e-government manifestations by individual users in Poland in 2017. Article presents the results of research on the popularity, use and influence of e-government functions that support their application in reality. Seventeen core e-government functions, most popular among respondents, were selected based on prior consultation as basis of following analysis. Authors conducted the CAWI analysis to evaluate the distinguished e-government functions on a selected sample of university students. A group of over two hundred and fifty randomly selected people from the university environment was examined. This approach was guided by the structure of the article consisting of the presentation of the research hypothesis, the description of the methodology and the research sample, and the analysis of obtained results and their discussion, together with the conclusions. The major findings from this research are in line with other researches carried over in Poland in the area of e-government. Results of 35% share of using e-government systems are similar to 31–33% in other studies. The research proves that the level of electronic services in e-government area in Poland is considerably lower than in most of European countries. The most popular use of digital services is used for taxation purposes. Some revival though can be noted in the social sphere (culture, public opinion, public health services, etc.), the basic problem in using of e-government services is lack of ability to handle the whole matter from start to finish via the Internet. The results can be used by people involved in the creation and development of e-government systems.

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Correspondence to Witold Chmielarz .

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Chmielarz, W., Szumski, O. (2018). E-government Usage by Polish Citizens. In: Ziemba, E. (eds) Information Technology for Management. Ongoing Research and Development. ISM AITM 2017 2017. Lecture Notes in Business Information Processing, vol 311. Springer, Cham. https://doi.org/10.1007/978-3-319-77721-4_6

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  • DOI: https://doi.org/10.1007/978-3-319-77721-4_6

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-77721-4

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