Usage Evaluation Through Data Analysis of the Greek Tax Information System

Stavros Valsamidis (), Ioannis Petasakis, Sotirios Kontogiannis and Fotini Perdiki ()
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Stavros Valsamidis: TEI of Eastern Macedonia and Thrace
Ioannis Petasakis: TEI of Eastern Macedonia and Thrace
Sotirios Kontogiannis: University of Ioannina
Fotini Perdiki: TEI of Eastern Macedonia and Thrace

A chapter in Economic and Financial Challenges for Eastern Europe, 2019, pp 259-275 from Springer

Abstract: Abstract Every information system has to be positively accepted by its users in order to be successful in practice. Even though its usage is mandatory, the users have to use it without negative intention. Improving e-government services by using them more effectively is a major focus globally. It requires public administrations (PAs) to be transparent, accountable, and provide qualitative, trustworthy, controllable, and compatible services that improve users’ confidence. The Greek taxation information system (Taxisnet) is now in the second decade of its operation and is characterized as a mature and expandable information system. The factors which affect its use by the tax office employees constitute an interesting field of study. The purpose of this study is to investigate the parameters affecting the positive or negative intentions of the office employees to use Taxisnet taking into consideration some critical parameters: Control, Complexity, Compatibility, Information Quality, System Quality and Trust. Data mining techniques and regression analysis are the main axes for the achievement of this goal. Although the research was conducted in the tax office employees of only four branches of the Region of Eastern Macedonia and Thrace (REMTh), the results can be generalized to the employees of other regions as well. This paper could also be a pilot for a general investigation of (1) the factors of acceptance of e-government systems by employees and (2) the factors that affect employees’ intention to accept the e-government services.

Keywords: Tax information system; Usage evaluation; Data mining techniques (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-12169-3_16

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DOI: 10.1007/978-3-030-12169-3_16

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