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The purpose of this study is to develop a novel approach to e-participation, which is based on “passive crowdsourcing” by government agencies, exploiting the extensive political content continuously created in numerous Web 2.0 social media (e.g. political blogs and microblogs, news sharing sites and online forums) by citizens without government stimulation, to understand better their needs, issues, opinions, proposals and arguments concerning a particular domain of government activity or public policy.

This approach is developed and elaborated through cooperation with potential users experienced in the design of public policies from three countries (Austria, Greece and the UK), using a combination of quantitative and qualitative techniques: co-operative development of application scenarios, questionnaire surveys, focus groups and workshops and, finally, in-depth interviews.

A process model for the application of the proposed passive crowdsourcing approach has been developed, which is quite different from the one of the usual active crowdsourcing. Based on it, the functional architecture of the required supporting information and communication technologies (ICT) infrastructure has been formulated, and then its technological architecture has been designed, addressing the conflicting requirements: low response time and, at the same time, provision of sufficiently “fresh” content for policymakers.

Taking into account that traditionally government agencies monitor what the press writes about them, our research provides a basis for extending efficiently these activities in the new electronic media world (e.g. newspapers websites, blogs and microblogs, online forums, etc.) to understand better the needs, issues, opinions, arguments and proposals raised by the society with respect to important domains of government activity and public policies.

The proposed approach provides a new channel for the “voice” of the society to be directly communicated to the government so that the latter can design its policies and activities based on the social needs and realities and not on oversimplified models and stereotypes.

Our paper proposes a novel approach to e-participation, which exploits the Web 2.0 social media – but in a quite different way from previous approaches – for conducting “passive crowdsourcing”, and elaborates it: it develops an application process model for it and also an ICT infrastructure for supporting it, which are quite different from the ones of the existing “active crowdsourcing” approaches.

The purpose of this paper is to investigate the effects of four types of “soft” information and communication technologies (ICT) capital related to ICT knowledge and skills (ICT personnel, ICT training of ICT personnel and users, ICT unit) on the innovation performance of Greek firms. Furthermore, the paper compares these effects with the ones of the hard ICT capital and also of four important “traditional” innovation determinants identified from previous research in this area (demand expectation, price and non-price competition, market concentration).

A quantitative methodology has been adopted for investigating the above effects, based on the estimation of regression models. Using data collected through a survey based on a structured questionnaire from 271 Greek firms, innovation models have been estimated, having as independent variables measures of hard ICT capital, the examined four types of soft ICT capital and also the above traditional innovation determinants.

The paper has been concluded that in the innovation averse Greek national context the examined traditional innovation determinants have very low impact on firms’ innovation performance, however, on the contrary both hard ICT capital, and three out of the four examined types of soft ICT capital (ICT personnel, ICT training of ICT personnel and users) have positive impact on both process and product/services innovation. Furthermore, it has been found that the total effect of these three knowledge and skills related types of soft ICT capital on innovation performance is stronger than the effect of the hard ICT capital.

The main limitations of the paper are that it uses simple innovation performance measures (not distinguishing between different types of innovations), and also is based on firm-level data collected from a single country. The paper has interesting implications for future research on the impact of the relation between ICT and innovation, which should not any more neglect the soft ICT capital, but consider various types of both hard and soft ICT capital.

The results of the paper can be useful to firms’ chief information officers and chief executive officers and also to consultants and practitioners interested in maximizing the exploitation of the innovation potential of ICT, in order to understand the hard and soft aspects of ICT that have to be developed for this purpose and optimize firms’ ICT-related investment.

The limited previous empirical literature concerning the effect of ICT on innovation focus on the hard ICT capital (mainly on ICT equipment) and neglect the role of the soft ICT capital. The paper contributes to fill this research gap, by examining the effects of three types of ICT capital, and also – for comparison and regression models’ completeness purposes – of hard ICT capital and of four traditional innovation determinants, on firms’ innovation performance.

Even though social media are nowadays used in the frame of public governance to ensure citizens’ major participation, enhance e-dialogue and e-democracy consequently, this utilization has not been expanded yet in the field of education, whose key role focuses on the cultivation of active citizenship, as it is promoted through participation. The purpose of this paper is to examine leadership’s views of Greek Secondary and Tertiary Education on the potential use of social media for participatory decision-making processes in order to identify if the e-participation model could be implemented in the Greek education field as in other public domains.

An exploratory research was elaborated, employing a survey design of quantitative method in order to explore Greek educational organizations leadership’s perspectives toward social media usage in participatory decision-making processes.

The research reveals Greek educational leadership’s positive view on the potential effects of social media usage in participatory decision-making processes and highlights anticipated benefits as well as problems to be faced, indicating the foundation for Greek leaders to implement social media in their leadership practices and exploit their affordances as in e-governance shifts.

Bringing the concept of e-participation and crowd sourcing model – key features in e-governance initiatives through social media usage – in education field, Greek educational leadership is informed to consider social media utilization more methodically in the context of participatory decision-making processes, updating simultaneously existing leadership practices.

Up till now, social media usage in participatory decision-making processes in educational settings has hardly received attention.

The government has included social media technology applications in the public sector as part of the fifth wave of information and communications technology adoption. Academic interest in social media in the government sector has been increasing. But there has been little empirical research on the assimilation of social media in the local government. To fill this gap, based on technology–organization–environment (TOE) framework, this study aims to investigate the key technological, organizational and environmental factors that affect the assimilation of social media in local government agencies.

To empirically test the model, a survey study was conducted. Data were collected from 150 government employees in the government department of X municipal government in China. The collected data were analysed quantitatively to answer five hypotheses using structural equation model.

The findings suggest that technology competence, top management support, perceived benefits and citizen readiness significantly influence assimilation of social media in local government agencies. Top management support is the strongest predictor of social media assimilation in a government agency.

This study is one of the first attempts that adopted the TOE framework to understand assimilation of social media in the local government. In addition, the effect of the four factors that include one technological factor, two organizational factors and one environmental factor, namely, technology competence, top management support, perceived benefits and citizen readiness, on intention to assimilate social media was investigated.

The purpose of this study is to identify the most frequent themes related with social media governance in government by year, analyzing if these themes have evolved over time, as well as highlighting the main risks and challenges found as further research opportunities.

First, the authors have extracted 431 abstracts from Scopus database. Then, abstracts were grouped by year to apply topic modeling to discover the underlying topics. Specifically, the authors have applied latent Dirichlet allocation algorithm to identify the most frequent topics by year.

The results reveal 19 important topics related with social media governance in government. Then, these topics were assigned to each year to identify the evolution of the research themes over the years, proposing interesting avenues for further research based on the identification of the main risks and challenges.

The proposed research methodology can be applied not only for research purposes but also to discover themes in any discourse with applications in politics, marketing, business, etc. In addition, it can be used to save time and costs analyzing citizen comments in public debates to identify the most important topics.

This study can serve to highlight gaps in the literature, opening the possibility that researchers can adequately position their inquiries, as well as to be aware of overstudied themes to pay less attention to them in future projects. In addition, the results of this study could serve as a starting point for other researchers to analyze connections between topics, propose theories that explain what was found and validate them in future studies.

This study aims to develop a methodology for predicting the resilience of individual firms to economic crisis, using historical government data to optimize one of the most important and costly interventions that governments undertake, the huge economic stimulus programs that governments implement for mitigating the consequences of economic crises, by making them more focused on the less resilient and more vulnerable firms to the crisis, which have the highest need for government assistance and support.

The authors are leveraging existing firm-level data for economic crisis periods from government agencies having competencies/responsibilities in the domain of economy, such as Ministries of Finance and Statistical Authorities, to construct prediction models of the resilience of individual firms to the economic crisis based on firms’ characteristics (such as human resources, technology, strategies, processes and structure), using artificial intelligence (AI) techniques from the area of machine learning (ML).

The methodology has been applied using data from the Greek Ministry of Finance and Statistical Authority about 363 firms for the Greek economic crisis period 2009–2014 and has provided a satisfactory prediction of a measure of the resilience of individual firms to an economic crisis.

The authors’ study opens up new research directions concerning the exploitation of AI/ML in government for a critical government activity/intervention of high importance that mobilizes/spends huge financial resources. The main limitation is that the abovementioned first application of the proposed methodology has been based on a rather small data set from a single national context (Greece), so it is necessary to proceed to further application of this methodology using larger data sets and different national contexts.

The proposed methodology enables government agencies responsible for the implementation of such economic stimulus programs to proceed to radical transformations of them by predicting the resilience to economic crisis of the firms applying for government assistance and then directing/focusing the scarce available financial resources to/on the ones predicted to be more vulnerable, increasing substantially the effectiveness of these programs and the economic/social value they generate.

To the best of the authors’ knowledge, this study is the first application of AI/ML in government that leverages existing data for economic crisis periods to optimize and increase the effectiveness of the largest and most important and costly economic intervention that governments repeatedly have to make: the economic stimulus programs for mitigating the consequences of economic crises.

The purpose of this paper is to explore how to use social media in e-government to strengthen interactivity between government and the general public.

Categorizing the determinants to interactivity covering depth and breadth into two aspects that are the structural features and the content features, this study employs general linear model and ANOVA method to analyse 14,910 posts belonged to the top list of the 96 most popular government accounts of Sina, one of the largest social media platforms in China.

The main findings of the research are that both variables of the ratio of multimedia elements, and the ratio of external links have positive effects on the breadth of interactivity, while the ratio of multimedia features, and the ratio of originality have significant effects on the depth of interactivity.

The contributions are as follows. First, the authors analyse the properties and the topics of government posts to draw a rich picture of how local governments use the micro-blog as a communications channel to interact with the public. Second, the authors conceptualize the government online interactivity in terms of the breadth and depth. Third, the authors identify factors that will enhance the interactivity from two aspects: structural features and content features. Lastly, the authors offer suggestions to local governments on how to strengthen the e-government interactivity in social media.

This paper aims to investigate the effect of two external factors – the “generalized” competition an organization faces, and the strategy it follows in response to its external environment – on the business value generated by its ICT investment.

For achieving these research objectives econometric models of output are constructed, using firm‐level data from Greek companies, which have been collected through a survey through a structured questionnaire. These econometric models are based on the microeconomic production theory (Cobb Douglas production function). For operationalizing the “generalized competition” an organization faces are used the five dimensions of the generalized competition of M. Porter's “five forces framework”.

Concerning the above generalized competition dimensions it is concluded that higher level of bargaining power of suppliers results in higher ICT business value generation. Also, concerning strategy it is concluded that in organizations following a strategy of frequent introduction of new innovative products and services is generated higher ICT business value.

This paper investigates the effect of external environment related factors on the business value generated by ICT investment. The conclusions constitute of first evidence that there are external conditions that result in higher business value from ICT investment by necessitating a more efficient and effective use of ICT.

This paper aims to develop and evaluate, in “real-life” pilot applications, a framework for advanced social media exploitation by government agencies in their policy-making processes to promote public participation and conduct crowdsourcing.

This framework has been developed through cooperation with public sector employees experienced in public policy-making, using both qualitative and quantitative techniques: semi-structured focus group discussions, scenarios development and questionnaire surveys. The evaluation of the framework has been conducted through semi-structured focus group discussions with public sector employees involved in the pilot applications.

A framework has been developed for advanced social media exploitation by government agencies, which is based on the automated posting of policy-related content to multiple social media, and then retrieval and processing of citizens’ interactions with it (e.g. views, likes, comments and retweets), using the application programming interfaces (API) of these social media. Furthermore, a supporting information and communication technologies (ICT) infrastructure and an application process model for it were developed. Its evaluation, based on “real-life” pilot applications, leads to useful insights concerning its capabilities, strengths and weaknesses.

The proposed framework has been evaluated in a small number of pilot applications, so further evaluation of it is required, in various types of government agencies and for different kinds of policy consultations.

The above framework enables government agencies to communicate with wider and more heterogeneous audiences in a short time and at a low cost, increase public participation in their policy-making processes, collect useful knowledge, ideas and opinions from citizens and, finally, design better, more socially rooted, balanced and realistic policies.

This research contributes to the development of knowledge concerning advanced practices for effective social media exploitation in government (which is currently limited, despite the considerable relevant knowledge developed in this area for the private sector), by developing and evaluating a framework for advanced and highly automated exploitation of multiple social media by government agencies. Furthermore, an evaluation methodology for such practices has been developed, which is based on sound theoretical foundations.

Previous empirical research on cloud computing (CC) adoption factors has examined the effects of only a small number of firm’s characteristics on CC adoption. The purpose of this paper is to investigate empirically the effects of a wide set of firm’s characteristics, which concern four important aspects of it, its strategy, processes, personnel and technology, on the propensity to adopt CC.

Having as theoretical background the technology, organization and environment (TOE) theory of technological innovation adoption, in combination with Scott-Morton’s framework on firm’s main elements, ten research hypotheses have been developed based on previous CC and management literature. They were tested using data collected through the e-Business W@tch Survey of the European Commission from 676 European firms from three traditional manufacturing sectors.

The results reveal three characteristics of a firm that affect positively its propensity to adopt CC for all firm sizes: the adoption of ICT investment reduction strategy, the adoption of product/service innovation strategy and the sophistication of firm’s administration support ICT infrastructure. Furthermore, they reveal four additional characteristics of a firm that affect positively the propensity for CC adoption only in the small firms: the adoption of process innovation strategy, the employment of ICT personnel, as well as the sophistication of firm’s production support and e-sales ICT infrastructures.

First, this study provides a theoretical foundation for the elaboration of the organizational perspective of the TOE theory of technological innovation adoption, which opens a new stream of CC adoption factors research, investigating the effects of a wide range of firm’s characteristics on CC adoption. Second, based on the above foundation, this study enriches substantially the empirical literature on CC adoption factors. The main limitation of this study is that it has been based on data from only three European manufacturing sectors.

The findings provide new interesting insights concerning specific firm’s characteristics and therefore internal conditions that increase its propensity for CC adoption, and reveal specific kinds of strategy and ICT infrastructures for which CC is more appropriate and beneficial.

The authors have developed a theoretical foundation for extending our knowledge concerning the characteristics and internal conditions of firms that favor/promote the adoption of CC, which supports and enables the substantial extension of the existing knowledge base on CC adoption factors. Based on this theoretical foundation, the authors have formulated and tested ten research hypotheses concerning effects of firm’s strategic directions, processes, ICT infrastructures and ICT personnel, which have not been investigated previously, on CC adoption propensity.