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Trust in E-Government and Successful Information Management in the Public Sector During a Pandemic: Proposing an Extended Framework

In: Computational and Strategic Business Modelling

Author

Listed:
  • Thomas Fotiadis

    (Democritus University of Thrace)

  • Maria Athanasiadou

    (Democritus University of Thrace)

  • Anastasios Diamantidis

    (Democritus University of Thrace)

  • Leonidas Hatzithomas

    (University of Macedonia)

  • Antonios Gasteratos

    (Democritus University of Thrace)

Abstract

The COVID-19 pandemic invaded the lives of people all over the world in early 2020 and created a new way of life for everyone. In order for the Greek government to be able to cope with the difficult situation, it suddenly found itself in, and, for development to continue in all sectors, it was deemed imperative that the government cooperate with the various state mechanisms and take the appropriate measures to solve the existing technical problems that arose due to the imposition of lockdowns and social distancing measures. The main – and most significant – of all the measures that needed to be taken in this respect was the creation of a digital state and the possibility of internet access for all the citizens of the country, so that everyone could continue to work, communicate, be educated, and be facilitated by the various state services with as little exposure to the deadly virus as possible. The purpose of this chapter is to propose an extension of the well-known DeLone and McLean Information System success model by incorporating the factor of trust in e-government, which arguably can contribute by improving the effectiveness of government.

Suggested Citation

  • Thomas Fotiadis & Maria Athanasiadou & Anastasios Diamantidis & Leonidas Hatzithomas & Antonios Gasteratos, 2024. "Trust in E-Government and Successful Information Management in the Public Sector During a Pandemic: Proposing an Extended Framework," Springer Proceedings in Business and Economics, in: Damianos P. Sakas & Dimitrios K. Nasiopoulos & Yulia Taratuhina (ed.), Computational and Strategic Business Modelling, pages 649-657, Springer.
    • Handle: RePEc:spr:prbchp:978-3-031-41371-1_53
    DOI: 10.1007/978-3-031-41371-1_53
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