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This paper presents the results of the content analysis of 139 Web of Science papers focused on collaborative innovation with external stakeholders of public administration, specifically on co-production and co-creation. The analysis included papers published between 2009 and 2018 and was based on a coding scheme consisting of 12 parameters grouped into four groups: paper descriptors, financial support of the research, methodological framework, and co-creation characteristics. The results reveal a considerable increase in researchers’ interest in co-production and co-creation in the context of public administration in the last few years. This is particularly the case in Northern and Western Europe, where Anglo-Saxon and Nordic administrative traditions dominate. Furthermore, the results show that co-creation is most often placed in the contexts of social policy and welfare, as well as health care. Over the selected period, research seldom addressed companies as a target group in the co-creation of public services—in comparison to citizens and internal users. More than three quarters of the papers observed were empirical and less than 20% were quantitative. In general, a lack of conceptual clarity was often identified through the interchangeable usage of the terms co-creation and co-creation and the low level of international comparison—the majority of the papers focused on case descriptions at a national level, even though collaborative innovation is strongly related to administrative traditions dominating in specific regions.

Rapid technological progress and its concomitant need for new skills, ways of working and collaborating, paired with dynamic socio-economic change, have highlighted the main challenge facing Europe’s urban municipalities. Being the part of the public sector closest to citizens and their needs, the challenge addresses digital transformation’s goals to support and promote broader growth in the digital domain optimally and to realise digital transformation benefits such as user-friendly and citizen-centred services, increased quality of life and better business environments. Urban municipalities must identify local strengths, priorities and needs, including performance and digital maturity assessment, and define strategic goals and implementation roadmaps to implement digital transformation optimally. Furthermore, they must increase city administration, decision-maker and citizens awareness of the opportunities and benefits digitally enabled solutions offer. A comprehensive digital maturity self-assessment is the first step towards successful digital transformation. An example of a framework for such an assessment is the framework of the European Commission’s Intelligent Cities Challenge (ICC), the EU’s bespoke support programme for coaching, facilitation and inspiration, and successor to its Digital Cities Challenge. Therefore, the objective of our research was to analyse the digital maturity self-assessment results undertaken by eleven Slovenian urban municipalities utilising ICC’s assessment methodology framework for government services and social connectivity, which includes indicators sets of digitising public services, digital connectivity and open data. We further focused on the potential impact of municipality population size on its digital maturity. According to the existing research, this is one of the significant potential explanatory factors why municipalities differ in terms of digital transformation implementation and adaptation. One would a priori expect larger municipalities to be digitally more mature than smaller ones because they have more resources at their disposal, however, our results prove that this is not the complete picture. There is, however, a relationship between municipality population size and digital maturity, including indicators of open data sharing and security, but not entirely in the manner expected. Furthermore, our analysis has shown that municipality population size does not influence overall digital maturity but individual digital maturity indicators, highlighting the need to develop more detailed and accurate individual digital maturity indicators. Although the influence of municipality population size on overall digital maturity could not be demonstrated, its partial influence on individual sets is essential when endeavouring to achieve efficient digital transformation.

The purpose of this paper is to test the unified theory of acceptance and use of technology (UTAUT) in the government-to-government environment and determine the influence of different moderating factors of technology acceptance by government employees. By means of a thorough review of the literature in this area, the paper investigates the application of UTAUT through empirical research on the technology acceptance of the E-recovery system by government employees in different governmental organizations. The empirical data from 384 respondents revealed that performance expectancy and social influence determine employees' behavioral intention. Moreover, gender invariance was detected, but employees' age and experience difference was detected as a moderating factor of the model. The findings of the paper can help those involved in information system development, implementation, and use to take the right actions to achieve maximum adoption of the technology, especially if the use of the technology is mandatory for the users.

The purpose of this paper is to test the unified theory of acceptance and use of technology (UTAUT) in the government-to-government environment and determine the influence of different moderating factors of technology acceptance by government employees. By means of a thorough review of the literature in this area, the paper investigates the application of UTAUT through empirical research on the technology acceptance of the E-recovery system by government employees in different governmental organizations. The empirical data from 384 respondents revealed that performance expectancy and social influence determine employees' behavioral intention. Moreover, gender invariance was detected, but employees' age and experience difference was detected as a moderating factor of the model. The findings of the paper can help those involved in information system development, implementation, and use to take the right actions to achieve maximum adoption of the technology, especially if the use of the technology is mandatory for the users.

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In order to create public value and meet the demands of the modern information society, governments and public administrations strongly rely on information technology and e-government, but its acceptance is significantly influenced by the level of citizens’ trust in government. This study explores the issue of citizens’ trust in government in relation to i-voting in Slovenia, a country with existing interest in i-voting but a low level of trust in government, especially among the young population. The authors analyze how such distrust impacts behavior intention towards i-voting, decomposing trust into a political component and an administrative component, and into local and state levels. Based on a modified version of the Unified Theory of Acceptance and Use of Technology, the results of 194 respondents show that young student voters’ trust in politicians and electoral committees does not affect their intention to use i-voting. However, they trust the local level of government more than the state level, and electoral committees more than politicians.

An increasing number of studies have addressed and proved the positive impact of classroom response systems (CRS) on learning performance in active learning environments but few focus on the parameters for the adoption and use of this technology in the classroom. This paper reviews research that has tested the parameters that influence the acceptance and use of CRS in the higher education context by utilizing the Unified Theory of Acceptance and Use of Technology (Venkatesh, Morris, Davis, & Davis, 2003). The research tested a set of hypotheses that predict the conditions under which CRS technology use was likely to emerge and persist in the active learning environment. The results highlight the importance of students' habit and performance expectancy on CRS use; the added construct of trust also indicates a significant influence on CRS use intention. The findings will better enable educators to effectively use CRS technology to support active learning.