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Political Parties and Internet Voting System Adoption in Ghana

  • Samuel Agbesi*
  • *Kontaktforfatter

Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review

Abstract

The role of political parties in elections and factors that influence political parties’ internet voting system adoption has hardly been explored. One of the key barriers to internet voting system adoption is the lack of trust in the technology and election management authority by political parties. The lack of trust has led to the rejection of electronic voting systems adoption by various political parties in different African countries. The main aim of this study is to examine the role political parties play in the electoral process and the factors that can influence political parties’ adoption of i-voting system. Using qualitative research design data were collected from political parties’ executives in the form of interviews. Themes that emerged from the analysis include “Increase Voter Turnout”, “Integrity of Voting Results”, “Trust in EC”, “Trust in Technology”, “Perceive Advantages”, and “Technological Illiteracy”. The implication of the research findings was also discussed in the study as well as the limitation of the research and future studies.

OriginalsprogEngelsk
TitelElectronic Government and the Information Systems Perspective - 9th International Conference, EGOVIS 2020, Proceedings
RedaktørerAndrea Ko, Enrico Francesconi, Gabriele Kotsis, Ismail Khalil, A Min Tjoa
Antal sider13
Vol/bind12394
ForlagSpringer
Publikationsdato2020
Sider174-186
ISBN (Trykt)9783030589561
DOI
StatusUdgivet - 2020
Begivenhed9th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2020 - Bratislava, Slovakiet
Varighed: 14 sep. 2020 → 17 sep. 2020

Konference

Konference9th International Conference on Electronic Government and the Information Systems Perspective, EGOVIS 2020
Land/OmrådeSlovakiet
ByBratislava
Periode14/09/2020 → 17/09/2020
NavnLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Vol/bind12394 LNCS
ISSN0302-9743

Bibliografisk note

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

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