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The purpose of this study is to explore whether immersive virtual reality (VR) can complement e-participation and help alleviate some major obstacles that hinder effective communication and collaboration. Immersive virtual reality (VR) can complement e-participation and help alleviate some major obstacles hindering effective communication and collaboration. VR technologies boost discussion participants' sense of presence and immersion; however, studying emerging VR technologies for their applicability to e-participation is challenging because of the lack of affordable and accessible infrastructures. In this paper, the authors present a novel framework for analyzing serious social VR engagements in the context of e-participation.

The authors propose a novel approach for artificial intelligence (AI)-supported, data-driven analysis of group engagements in immersive VR environments as an enabler for next-gen e-participation research. The authors propose a machine-learning-based VR interactions log analytics infrastructure to identify behavioral patterns. This paper includes features engineering to classify VR collaboration scenarios in four simulated e-participation engagements and a quantitative evaluation of the proposed approach performance.

The authors link theoretical dimensions of e-participation online interactions with specific user-behavioral patterns in VR engagements. The AI-powered immersive VR analytics infrastructure demonstrated good performance in automatically classifying behavioral scenarios in simulated e-participation engagements and the authors showed novel insights into the importance of specific features to perform this classification. The authors argue that our framework can be extended with more features and can cover additional patterns to enable future e-participation immersive VR research.

This research emphasizes technical means of supporting future e-participation research with a focus on immersive VR technologies as an enabler. This is the very first use-case for using this AI and data-driven infrastructure for real-time analytics in e-participation, and the authors plan to conduct more comprehensive studies using the same infrastructure.

The authors’ platform is ready to be used by researchers around the world. The authors have already received interest from researchers in the USA (Harvard University) and Israel and run collaborative online sessions.

The authors enable easy cloud access and simultaneous research session hosting 24/7 anywhere in the world at a very limited cost to e-participation researchers.

To the best of the authors’ knowledge, this is the very first attempt at building a dedicated AI-driven VR analytics infrastructure to study online e-participation engagements.

This study aims to analyse the nature and forms of digital content that may influence e-participation for persons with disabilities (PWDs) during a flood disaster.

This paper undertakes a case study of the 2019 and 2020’s flood in Kerala, India. In-depth interviews with rehab workers during the flood are used in the study. Topic modelling and sentiment analysis are carried out using Twitter data. The native language responses from Facebook forums related to PWDs are analysed manually to construct taxonomy of problematic content

The results show that problematic content toward PWDs in the social media occurs during a flood. The extreme and exploitative content results in disability exclusion. Thus, e-participants fail to address the actual disability-specific requirements through social media during a disaster.

The paper explores social media content toward PWDs. Implications of findings on citizens’ e-participation competency are delineated. Existing e-participation literature reports a low degree of disability e-participation in social media. Exploring disability e-participation helps to design more inclusive participation platforms. Further studies can explore the disability consciousness among e-participants for a more inclusive space.

The development of problematic content in the social media environment is alarming. Regulatory frameworks are also less adequate. Hence, policies for enabling inclusive participation that is not limited to the information technology infrastructure is needed.

First, the citizens will get more insights for meaningful disability e-participation. Second, inclusive e-participation platform designs will help to reduce problematic content generation.

Disability e-participation requires regional studies. But there are fewer studies on disability e-participation from developing nations. The current study considered the regional context and complexities of disability e-participation. This paper gives policy recommendations for an inclusive e-participation.

The purpose of this paper is to investigate how citizens’ perception of empowerment can influence the intention to use and intention to recommend e-participation.

A research model is evaluated using structural equation modelling. An online survey questionnaire was used to collect data from 210 users of e-participation.

The results show that psychological empowerment influences the intention to use and recommend e-participation. Performance expectancy and facilitating conditions were the strongest predictors of intention to use; effort expectancy and social influence had no significant effect on the prediction of intention to use e-participation.

The use of psychological empowerment as a higher-order multidimensional construct is still insufficiently researched. Future research may explore the effect of each dimension of psychological empowerment in different scenarios of e-participation adoption. Caution is needed when generalising our findings towards the adoption of e-participation in different locations or with different participants.

The findings can help the local governments to design strategies for the promotion and diffusion of e-participation amongst the citizenry. Those strategies should focus on citizens’ perception of empowerment, thereby creating a positive attitude towards intention to use and recommend e-participation.

An innovative research model integrates the unified theory of acceptance, use of technology and psychological empowerment; the last as a higher-order construct.

The purpose of the present paper is to attempt to examine the determinants of citizens’ electronic participation with respect to the communication aspects. To accomplish this objective, using the extant literature, the paper delineated factors that determine and the theories that can explain citizens’ e-participation. An analysis of citizens’ democratic communication through multiple e-participation forums is carried out, and the determinants of electronic participation are described in the paper.

In light of the literature, e-participation services were classified on the basis of characteristics of democratic communications. The factors that determine citizens’ online democratic participation were also identified and validated. Indian citizens who often e-participate were surveyed through online and offline questionnaires. A regression analysis of the 407 responses was carried out to predict the influence of individual, governance and technology components on various e-participation initiatives.

Citizens’ participation efficacy, value system and participation freedom were found to determine different e-participation initiatives. Further, e-participation is also found to be varyingly determined by the governance and technology components.

The theoretical contribution of this study includes the classification of determining factors and the illustrative labeling (I, G and T) for an e-participation framework. The delineation of e-participation from democratic communication aspects also contributes to the e-participation literature. However, this research had considered only one set of e-participation services and had incorporated only select forms of e-participation that are in coherence with the services selected.

Past studies often consider separate e-participation forums and infrequently report a simultaneous analysis of multiple e-participation forums. The factors that determine citizens’ e-participation from a democratic communication aspect are also inadequately discussed. The significant contribution of this study includes policy recommendations to improve e-participation in different information and communication technologies initiatives.

Due to the increasing demand for public services, as a new form of public governance, e-participation has emerged. Scholars from various disciplines have published plenty of research results on e-participation. This paper aims to reveal the research status frontiers directly by mapping knowledge domains.

The authors take 1,322 articles on e-participation published in Web of Science from 2001 to 2017 as research object. They then run the information visualization software CiteSpace to drill deeper into the literature data.

The study found that e-participation research has the obvious interdisciplinary feature; the author and institution cooperation networks with less internal cooperation are relatively sparse; the USA ranks first in the field of e-participation research, followed by the UK, with the other countries lagged behind; and e-participation through social media is gradually becoming the new research focus.

Based on the objective data and information visualization technology, the research intuitively reveals the research status and development trend of e-participation.

This paper aims to examine citizen interaction with e‐government using three e‐participation models. The two major research questions of this paper are: what is the current level of e‐participation in the USA?; and what factors explain why citizens participate in online government?

Survey evidence of citizens in the USA and their use of e‐participation is examined using quantitative methods.

Citizens were most likely to use e‐participation for management activities. Citizens were much less likely to use the internet for more advanced consultative and participatory activities. Using regression analysis, factors such as demand by citizens for e‐government, the digital divide, and political factors influenced the level of e‐participation.

The results of this study imply that governments should do more to stimulate demand for e‐government, address issues of the digital divide, and provide for more open and transparent government. A limitation of this study is its focus on e‐participation through a survey instrument, which does not consider all possible forms of e‐participation.

For e‐participation to blossom, governments should do more to promote citizens' demand for e‐government, bridge the digital divide, and promote more open and transparent government.

Existing research on e‐participation has focused on theory building and case studies; this paper provides empirical evidence, through a survey, of the level of e‐participation and factors that promote e‐participation.

This study focuses on understanding how channel features can affect people's intention to continue to use an electronic channel in public affairs and their recommendation behaviors. Specifically, three different channels are focused on: email, microblogs and online meetings.

A research model on an e-participation channel based on the channel-disposition framework was developed and an online survey was conducted to collect data from 397 individuals who used three e-participation channels to validate seven hypotheses.

The study found that information quality, channel interaction quality and the social appearance of other citizens all had a significant impact on users' intention to continue to use an electronic channel, which, in turn, affected their recommendation behaviors. However, the impact differed across the three e-participation channels. Information quality had a stronger impact on microblog and online meeting users' intention to continue to use these channels than on email users' intention to continue using email to participate in public affairs. Channel interaction quality had a stronger impact on email users' intention to continue to use email than on microblog and online meeting users' intention to continue to use these channels in public affairs.

This study helps better explain how various channels and their features can affect participants' use intentions and behaviors in e-participation. It also provides practical guidance for government to better manage e-participation channels and effectively engage citizens in public affairs.

Public participation is an important – if not the most important – pillar of democracy. When designing new e-participation environments, it is advisable to consider previous appropriation practices of deliberative community networks to encourage broad participation. This can be achieved by sharing appropriation practices and by supporting the situated development of use, which may not only increase user participation but also decrease user frustration.

This paper addresses previously analyzed e-participation appropriation practices and technological limitations that participants faced when using the e-participation environment from the Aarhus’s Artwork design experiment. The lessons learned from these limitations and the appropriation practices identified help us in designing the next generation of e-participation environments and in counteracting their unsuccessful appropriation.

Potential design improvements for future collaborative writing e-environments that facilitate location-agnostic participation, and improvements that enable successful technology appropriation are presented.

These improvements are important to future research to inform a hybrid of in situ and ex situ technologies that enable collaborative writing to increase public participation in leisure spaces, engage a broader range of citizens and thus also encourage less motivated people.

This study aims to predict the intention to participate (ITP) in public activities by utilizing five levels of e-participation reported in the literature. The study used the levels of e-informing, e-consulting, e-involving, e-collaborating and e-empowering as predictors of the intention to participate in e-government services.

An empirical test was adopted using a survey to measure the five levels of e-participation and the dependent variable, ITP in e-government initiatives. The survey included items from previous studies translated to Arabic. Subjects responded to a five-point Likert scale to measure their perceptions regarding the sub-dimensions of each e-participation level. Statistical analyses of the collected data were conducted to test the assumed hypotheses. Multiple regression of the five predictor levels was conducted to predict the ITP in e-government services.

All the estimated means of e-participation levels were moderately perceived. The regression results indicated a significant prediction of three levels: e-informing, e-consulting and e-empowering. The other two levels (e-involving and e-collaborating) failed to predict the ITP. The coefficient of determination R² resulting from the regression test was significant at the 0.001 level, which explained 61.9 per cent of the variance in the dependent variable.

The instrument used is a newly developed one in Arabic language, which might have influenced the results. The distinction between e-involving and e-collaborating might not have been recognized by subjects, which might have increased the limitations of the study. The results of this study call for more research to validate the instrument and try to see if new statements of e-consulting and e-involving might be employed. The other side could be to reduce the levels to three levels only or merge the insignificant ones into one (four levels only).

Governments need to assert the role of citizens in the decision-making process. Such assertion is done through the e-participation process.

Jordanians perceive the e-informing and e-consulting levels to be a foundation that can be easily attained, but jumping to the e-empowering level means that the society is keen on the partnership with the government.

This study is the first to use the participation levels (five levels) as predictors of the ITP. Most studies have utilized theories such as technology acceptance model (TAM), theory of reseaoned action (TRA) and unified theory of acceptance and use of technology (UTAUT) and other technology adoption theories. Also, this research has established ground for an Arabic survey to measure such levels, regardless of their prediction or description purpose.

This paper aims to discuss the cost of e‐participation from the managerial perspective.

The use of digital media to consult and engage citizens and companies in the decision‐making process is a way of improving the design and legitimatization of decisions, as well as potentially increasing the likelihood of successful implementation of policies. This paper discusses if the potential economic benefits from increased or qualitatively improved involvement inherently are long term and have to compete with other activities undertaken by government.

There are great uncertainties regarding the magnitude of the positive effects on governance since there are not only positive, but also negative externalities of e‐participation; thus, there are major challenges in measuring and capitalizing on the e‐participation. Part of the reason for the uncertainty is the lack of explicit awareness of the choice of technology, communication style and institutional approach to implementing e‐participation. Further, there is the need to be aware of the administrative costs in transferring e‐participation practices and techniques.

The perspective on cost of e‐participation is not well explored. The discussion raised emphasizes the urgency of the issue.