The Trajectory of IT in Healthcare at HICSS: A Literature Review, Analysis, and Future Directions

Research has extensively demonstrated that healthcare industry has rapidly implemented and adopted information technology in recent years. Research in health information technology (HIT), which represents a major component of the Hawaii International Conference on System Sciences, demonstrates similar findings. In this paper, review the literature to better understand the work on HIT that researchers have conducted in HICSS from 2008 to 2017. In doing so, we identify themes, methods, technology types, research populations, context, and emerged research gaps from the reviewed literature. With much change and development in the HIT field and varying levels of adoption, this review uncovers, catalogs, and analyzes the research in HIT at HICSS in this ten-year period and provides future directions for research in the field

Monitoring Collective Intelligence in Lithuania’s Online Communities

This paper presents the findings of a systematic survey that evaluated the potential of online communities (or Civic Tech) in Lithuania to co-create collective intelligence. Traditional approaches to public engagement remain relevant, notwithstanding, our enquiry is more interested in the growing potential of digital-enabled citizens to increase efficient collective performance. Civic intelligence is a form of collective intelligence exercised by a group’s capacity to perceive societal problems and its ability to address them effectively. The subject of the research is “bottom up” digital-enabled online platforms initiated by Lithuanian public organizations, civic movements and/or business entities. This scientific project advances our understanding about the basic preconditions in online communities through which collective intelligence is being systematically co-created. By monitoring the performance of Civic Tech platforms, the scientific question was examined, what are the socio-technological conditions that led the communities to become more intelligent. The results of web-based monitoring were obtained by applying Collective intelligence Monitoring technique and Pearson correlation analysis. This provided information about the potential and limits of online communities, and what changes may be needed to overcome such limitations

Celebrating HICSS50: The Past, Present, and Future of HICSS

The Hawaii International Conference on System Sciences (HICSS) celebrated its 50th anniversary (HICSS-50) in January, 2017. To mark the occasion and to pay respect to the significant standing of this conference in the global IS community, the Communications of the Association for Information Systems (CAIS) organized a special section on “Celebrating HICSS50: The Past, Present, and Future of HICSS Conference”. In this editorial, we share the guest editors’ perspectives on HICSS and summarize the three papers in the special section

The overview-analytical document of the international experience of building smart city

The population of the planet is constantly growing, people are moving to the cities. Recently, more and more interest is being given to smart cities as a guarantee of at least comfortable living of citizens, as a maximum – an ultramodern autonomous city with artificial intellect, anticipating the needs of residents, capable of functioning autonomously for a long time. The purpose of the article is to analyze the experience of smart cities, highlight the distinctive and common features and outline the initial stages of the route map for the development of a specific city into a smart city. After the study, it became clear that the concept of “smart city” is very broad, scientists are investing a huge number of parameters that characterize a smart city, but it was possible to identify common characteristics. Also, the hypothesis was tested that the city’s urbanization should be oriented towards the inhabitants of this city, i.е. implemented not by a single algorithm, but by an algorithm that is adapted to the needs of a particular city. We proposed a methodology for the preparatory stage of the city’s self-mastering, which is based on expert assessments by a prior ranking, includes 2 stages and which was tested on the example of Odessa (Ukraine). At the first stage, the questionnaire contained questions about the six main characteristics of a smart city. At this stage three characteristics were singled out, which are of particular concern to Odessa citizens and the second survey contained 36 clarifying questions only for these three characteristics. The results allowed to distinguish 6 characteristics from which it is necessary to start Odessa’s growth as a smart city

Exploring Digital Government transformation in the EU

This report presents the findings of the analysis of the state of the art conducted as part of the JRC research on “Exploring Digital Government Transformation in the EU: understanding public sector innovation in a data-driven society” (DIGIGOV), within the framework of the “European Location Interoperability Solutions for eGovernment (ELISE)" Action of the ISA2 Programme on Interoperability solutions for public administrations, businesses and citizens, coordinated by DIGIT. The results of the review of literature, based on almost 500 academic and grey literature sources, as well as the analysis of digital government policies in the EU Member States provide a synthetic overview of the main themes and topics of the digital government discourse. The report depicts the variety of existing conceptualisations and definitions of the digital government phenomenon, measured and expected effects of the application of more disruptive innovations and emerging technologies in government, as well as key drivers and barriers for transforming the public sector. Overall, the literature review shows that many sources appear overly optimistic with regard to the impact of digital government transformation, although the majority of them are based on normative views or expectations, rather than empirically tested insights. The authors therefore caution that digital government transformation should be researched empirically and with a due differentiation between evidence and hope. In this respect, the report paves the way to in-depth analysis of the effects that can be generated by digital innovation in public sector organisations. A digital transformation that implies the redesign of the tools and methods used in the machinery of government will require in fact a significant change in the institutional frameworks that regulate and help coordinate the governance systems in which such changing processes are implemented.JRC.B.6-Digital Econom

Exploring Digital Government Transformation in the EU - Understanding public sector innovation in a data-driven society

This report presents the final results of the research “Exploring Digital Government Transformation in the EU: understanding public sector innovation in a data-driven society”, in short DigiGov. After introducing the design and methodology of the study, the report provides a summary of the findings of the comprehensive analysis of the state of the art in the field, conducted reviewing a vast body of scientific literature, policy documents and practitioners generated reports in a broad range of disciplines and policy domains, with a focus on the EU. The scope and key dimensions underlying the development of the DigiGov-F conceptual framework are then presented. This is a theory-informed heuristic instrument to help mapping the effects of Digital Government Transformation and able to support defining change strategies within the institutional settings of public administration. Further, the report provides an overview of the findings of the empirical case studies conducted, and employing experimental or quasi-experimental components, to test and refine the conceptual framework proposed, while gathering evidence on impacts of Digital Government Transformation, through identifying real-life drivers and barriers in diverse Member States and policy domains. The report concludes outlining future research and policy recommendations, as well as depicting possible scenarios for future Digital Government Transformation, developed as a result of a dedicated foresight policy lab. This was conducted as part of the expert consultation and stakeholder engagement process that accompanied all the phases of the research implementation. Insights generated from the study also serve to pave the way for further empirical research and policy experimentation, and to contribute to the policy debate on how to shape Digital Europe at the horizon 2040.JRC.B.6-Digital Econom

Crowdsourcing User-Centered Teams

Crowdsourcing has become an increasingly important tool for team formation and collaboration. This thesis investigates how User-Centered Design, an iterative process that prioritizes users and their needs, can be applied to improve the efficiency and effectiveness of crowdsourcing systems for teamwork and team formation. To achieve this, we conducted a series of studies to explore the role of various factors in shaping crowd workers' behaviour and preferences in collaborative contexts. The main findings of our research are as follows. In online team formation settings, crowd workers prefer disclosing overt traits (e.g., age, gender, topical interests) and avoid sharing sensitive information (e.g., ethnicity, depression). However, they are willing to share information regarding their personality and values, typically considered deep-level sensitive traits. Well-defined digital nudging interventions, such as a diversity progress bar, can promote diverse team formation. In contrast, subtler forms of nudging may inadvertently trigger biases working against the intended objectives. Ad-hoc crowd teams working under pressure can benefit from systems that account for differences in personality traits, as these can influence collaboration outcomes and perceptions. Designing crowdsourcing systems for emergency response requires modelling communication tools that aid, assist, and monitor the shared load, considering the strictly cooperative roles and task- and user-dependent communication styles between collaborators. When forming teams, crowd workers tend to balance attributes between and within groups, with a preference for Openness to Experience among the Big-5 personality traits. Based on these findings, we recommend applying a User-Centered approach to design collaborative crowdsourcing systems, considering user needs, behaviour, intents, and perceptions of digital environments. Future research should continue to explore and evaluate innovative strategies for promoting effective collaboration and team formation in crowdsourcing contexts