
Trust plays a significant role along the life-cycle of (electronic) participation initiatives. Based on causal roles that trust may have according to Rousseau et al. [31, p. 396] - (1) trust as condition for participation, (2) trust during participation, and (3) trust as outcome of participation - it is imperative to analyse these influential roles in order to take measures that contribute to higher trust and to reduce distrust in, and as an outcome of participation. In this regard, a literature study is performed analysing research on trust in e-government, online commerce and e-participation. Literature research unveils that analyses of trust in e-participation and their results are diverse, and a number of aspects are not studied so far (in particular ICT as a means for communication and as a tool in e-participation). This paper therefore identifies research needs along a trust model for e-participation. The aspect of guidelines for developing trustworthy e-participation tools is particularly examined by outlining various research steps. Online participatory budgeting serves as example for analysing trust, as such initiatives integrate different aspects of e-participation in the support tools.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 20 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
