A model of fundamental components for an e‑government crowdsourcing platform

Kevin Cupido*, Jacques Ophoff*

*Corresponding author for this work

Research output: Contribution to journalArticle

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Abstract

Most e-Government implementations have resulted in failures with many implementations being one-way (government-to-citizen) and mainly informational (Dada, 2006; Cloete, 2012). However, advances in technology provide governments with the opportunity to engage with citizens using new methods, such as crowdsourcing. Successful commercial and open source software implementations of crowdsourcing have sparked interest in its potential use in the public sector. Brabham (2009) advocated for the use of crowdsourcing in the public sector to increase public participation and for governments to access citizens as a source of ideas and solutions. However, crowdsourcing lacks a theoretical and conceptual foundation (Geiger, et al., 2011; Pedersen, et al., 2013). Within e-Government there is also a lack of knowledge regarding the implementation of crowdsourcing platforms (Koch & Brunswicker, 2011). The main research questions is: How are crowdsourcing initiatives able to motivate citizen participation in e-Government? A conceptual model of critical success factors for an e-Government crowdsourcing solution is presented, based on a comprehensive review of relevant literature. The model uses Self-Determination Theory as a basis to examine citizen motivation and the influence of incentives or rewards. The model also addresses system factors such as task clarity and types, management, and feedback. In addition it also examines effort and performance expectancy, and behavioural intention to use crowdsourcing through the Unified Theory of Acceptance and Use of Technology. The results of a questionnaire-based survey (n=295) testing the model indicated that some crowdsourcing concepts may not necessarily translate well when applied in public sector initiatives. System management and support, rules and feedback as well as the UTUAT constructs were identified as important factors. This research benefits future work by building a conceptual foundation for a potential e-Government crowdsourcing solution.
Original languageEnglish
Article number349
Pages (from-to)142-157
Number of pages16
JournalThe Electronic Journal of e-Government
Volume12
Issue number2
Publication statusPublished - Dec 2014
Externally publishedYes

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