e-Voting intent: A comparison of young and elderly voters

Powell, Anne; Williams, Clay K.; Bock, Douglas B.; Doellman, Thomas W.; Allen, Jason

doi:10.1016/j.giq.2012.01.003

Cited by 64 publications

(70 citation statements)

References 28 publications

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“…Table 3 shows the Cronbach's alpha values and, CR and AVE values for the constructs considered in this study. [19]. A total of 500 resamples were conducted.…”

Section: Discussionmentioning

confidence: 99%

An Extension and Validation of the Task-Technology Fit: A Case of a Mobile Phone Voting System

Mpekoa

Bere

2015

Lecture Notes in Computer Science

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Abstract. Literature has emphasized on human computer interaction as the backbone of technology use and acceptance. The authors made use of the tasktechnology fit theory and argue that any pre-occupation with the theory from the perspective of task and technology characteristics that does not embrace the user technology self-efficacy is unrealistic and unauthentic. Contributing to debates on task technology fit theory; this study provides self-efficacy as an antecedent for mobile phone voting task technology fit. The purpose of this study is to empirically examine the possibility of extending the task technology fit theory by cooperating self-efficacy to the task and technology characteristics within the voting context. The participants voted for their representatives using a mobile phone voting application. Data was collected using a selfcompletion questionnaire and the partial least squares was employed. The proposed model displayed a good fit with the data and rendered satisfactory explanatory power for mobile phone voting.

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“…Table 3 shows the Cronbach's alpha values and, CR and AVE values for the constructs considered in this study. [19]. A total of 500 resamples were conducted.…”

Section: Discussionmentioning

confidence: 99%

An Extension and Validation of the Task-Technology Fit: A Case of a Mobile Phone Voting System

Mpekoa

Bere

2015

Lecture Notes in Computer Science

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“…We draw a distinction between empirical studies that focus on 'intent' to iVote, which are usually based on the hypothetical scenario of whether a prospective voter would use iVoting if given the opportunity (e.g. Powell et al (2012); Christian Schaupp and Carter (2005);Choi and Kim (2012)), on the one hand, and empirical studies that are based on actual trials of iVoting on the other. It is the latter literature which constitutes our main point of theoretical departure (Table 1 provides an overview).…”

Section: Theory and Hypothesesmentioning

confidence: 99%

What drives fidelity to internet voting? Evidence from the roll–out of internet voting in Switzerland

Mendez

Serdült

2017

Government Information Quarterly

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To date, most of our knowledge regarding individuals' propensity to internet vote comes from cross-sectional survey data. In this paper we try to break new ground by tracking individuals' actual behaviour over time. Specifically, we analyze citizens' choice of voting channel by exploiting a unique longitudinal dataset -the Canton of Geneva's vote registry database. Our aim is to explore patterns in the propensity to use internet voting among eligible voters. To this end, we first mine the registry data to identify a subset of voters that have experimented with internet voting. In a second stage, we explore the effects of key socio-demographic variables on individual voters' fidelity to internet voting. Our results are counter-intuitive. While the conventional wisdom is that younger voters are most likely to be mobilised to use the internet voting channel, we show that this is not the case in one of the few political systems where internet voting is readily available. Indeed, our evidence suggests that it is the older voters rather than 'digital natives' (i.e., the younger voters) that are most likely to remain faithful to internet voting once they have experimented with it. likely to be mobilised to use the internet voting channel, we show that this is not the case in one of the few political systems where internet voting is readily available. Indeed, our evidence suggests that it is older voters rather than 'digital natives' (i.e., the younger voters) that are most likely to remain faithful to internet voting once they have experimented with it.

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“…Simple descriptive statistics, bivariate correlations and even multivariate regression analyses do not provide enough discretionary power to disentangle the respective effects of digital divide variables, factors of convenience, worries about security issues and trust in the internet. Inspired by more recent studies such as [24,26] we aim at making a further contribution in this respect, in a first instance by testing more elaborate causal modelling on very recent survey data for the Swiss case.…”

Section: Current State Of Researchmentioning

confidence: 99%

Disentangling Digital Divide and Trust

Serdült

Milic

2017

Electronic Participation

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In Switzerland internet voting is currently being introduced in a piecemeal fashion. Since the first trials in 2003 an increasing number of Swiss cantons is offering the digital voting channel to its citizens either living in Switzerland or abroad. So far the question whether the introduction of internet voting in Switzerland would increase the digital divide, favoring the well educated, economically better off citizens could not be answered in a conclusive way. As yet bi-and multi-variate regression analyses of survey data showed that general trust in the internet and in internet voting in particular outweigh the effect of the typical digital divide variables. There is, however, so far no study trying to disentangle the two types of variables by applying structural equation modeling. In the present study we test whether digital divide variables have a direct effect on general support of internet voting in the Swiss population or whether they should rather be treated as exogenous variables of general trust in the Internet and of internet voting in particular. We therefore put forward a structural equation model which helps us to disentangle direct and indirect effects on internet voting affinity. In order to test our model we are using the first Swiss population survey exclusively conducted on the topic of internet voting in April 2016.

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e-Voting intent: A comparison of young and elderly voters

Cited by 64 publications

References 28 publications

An Extension and Validation of the Task-Technology Fit: A Case of a Mobile Phone Voting System

An Extension and Validation of the Task-Technology Fit: A Case of a Mobile Phone Voting System

What drives fidelity to internet voting? Evidence from the roll–out of internet voting in Switzerland

Disentangling Digital Divide and Trust

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