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1.
  • Bharosa, Nitesh, et al. (author)
  • Are we prepared? : Experiences from developing dashboards for disaster preparation
  • 2010
  • In: Proceedings of the 7th International Conference on Information Systems for Crisis Response and Management (ISCRAM2010). - Seattle, USA.
  • Conference paper (peer-reviewed)abstract
    • Relief agency managers show growing interest in dashboards for assessing multi-agency disaster preparedness. Yet, there is a dearth of research on the development and use of dashboards for disaster preparation. Consequently, information system architects in the disaster management domain have little guidance in developing dashboards. Here, dashboards refer to digitalized visualizations of performance indicators. In this paper, we discuss the experiences gained from an action research project on the development of dashboards for assessing disaster preparedness. The objective of this paper is to discuss experiences and tradeoffs extracted from the development of dashboards in practice. We organized a two-day gaming-simulation with relief agency managers for the evaluation of the dashboards. While the relief agency managers acknowledged the usefulness of dashboards in the disaster preparation process and expressed their intention to use these in practice, they suggested that the formulation and clustering of performance indicators requires further research.
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2.
  • Bharosa, Nitesh, et al. (author)
  • Designing and evaluating for Multi-agency Crisis Preparation : A Living Lab
  • 2010
  • In: Proceedings of electronic government. - Berlin, Germany : Springer Berlin Heidelberg. - 9783642147982 - 3642147984 ; , s. 180-191
  • Conference paper (peer-reviewed)abstract
    • Public organizations show growing interest in the development of dashboards that aid relief agency managers in crisis preparation. Yet, there is a dearth of research on the development of such dashboards. This paper discusses the experiences gained from apioneering Living Lab on the development and evaluation of dashboards for assessingcrisis preparedness. In order to evaluate and further improve dashboards, a two-day user-centered gaming simulation was organized with forty relief agency managers. Asurvey distributed amongst the managers indicates that they were satisfied with the dashboards and intend to use these in practice. However, the managers suggested that the formulation and clustering of the performance indicators requires better alignment with the context of use. One of the main findings is that the high level of uncertainty regarding the final set of performance indicators and the corresponding norms demands flexibility in the dashboard architecture beyond the evaluation stage.
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5.
  • Electronic Government : 18th IFIP WG 8.5 International Conference, EGOV 2019, San Benedetto Del Tronto, Italy, September 2–4, 2019, Proceedings
  • 2019
  • Editorial proceedings (peer-reviewed)abstract
    • This book constitutes the proceedings of the 18th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2019, held in San Benedetto del Tronto, Italy, in September 2019, in conjunction with the IFIP WG 8.5 IFIP International Conference on Electronic Participation (ePart 2019) and the International Conference for E-Democracy and Open Government Conference (CeDEM 2019).The 27 revised full papers presented were carefully reviewed and selected from 64 submissions. The papers are clustered under the following topical sections: E-Government Foundations; E-Government Services and Open Government; Open Data: Social and Technical Aspects; AI, Data Analytics and Automated Decision Making; and Smart Cities.
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6.
  • Electronic Government : 19th IFIP WG 8.5 International Conference, EGOV 2020 Linköping, Sweden, August 31 - September 2, 2020 Proceedings
  • 2020
  • Editorial proceedings (peer-reviewed)abstract
    • This book constitutes the proceedings of the 19th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2020, held in Linköping, Sweden, in August/September 2020, in conjunction with the IFIP WG 8.5 IFIP International Conference on Electronic Participation (ePart 2020) and the International Conference for E-Democracy and Open Government Conference (CeDEM 2020). The conference was held virtually due to the COVID-19 pandemic.The 30 full papers presented were carefully reviewed and selected from 118 submissions. The papers are clustered under the following topical sections: e-government foundations; e-government services and open government; open data: social and technical aspects; AI, data analytics, and automated decision making; and smart cities.
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  • Electronic Government : 20th IFIP WG 8.5 International Conference, EGOV 2021, Granada, Spain, September 7–9, 2021, Proceedings
  • 2021
  • Editorial proceedings (peer-reviewed)abstract
    • This book constitutes the proceedings of the 20th IFIP WG 8.5 International Conference on Electronic Government, EGOV 2021, held in Granada, Spain, in September 2021, in conjunction with the IFIP WG 8.5 IFIP International Conference on Electronic Participation (ePart 2021) and the International Conference for E-Democracy and Open Government Conference (CeDEM 2021).The 23 full papers presented were carefully reviewed and selected from 63 submissions. The papers are clustered under the following topical sections: digital transformation; digital services and open government; open data: social and technical perspectives; smart cities; and data analytics, decision making, and artificial intelligence.
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9.
  • Electronic Government : 22nd IFIP WG 8.5 International Conference, EGOV 2023, Budapest, Hungary, September 5–7, 2023, Proceedings
  • 2023
  • Editorial proceedings (peer-reviewed)abstract
    • This book constitutes the proceedings of the 22nd IFIP WG 8.5 International Conference on Electronic Government, EGOV 2023, which took place in Budapest, Hungary, during September 5–7, 2023.The 28 full papers included in this book were carefully reviewed and selected from a total of 106 submissions. They were organized in topical sections as follows: Digital government; artificial intelligence, algorithms, and automation; open government and open data; smart cities, regions, and societies; innovation and transformation in government.
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10.
  • Kleiman, Fernando, et al. (author)
  • A Systematic Literature Review on the Use of Games for Attitude Change : Searching for Factors Influencing Civil Servants' Attitudes
  • 2020
  • In: International Journal of Electronic Government Research. - : IGI Global. - 1548-3886 .- 1548-3894. ; 16:4, s. 1-20
  • Research review (peer-reviewed)abstract
    • Governments are increasingly using games for civic engagement, decision making, and education. Serious gaming is a type of game that has often been advocated as a means for changing the attitude of its players and can be used for changing the attitude of civil servants. However, the relationship between games and attitude change in civil servants remains unexplored. This paper aims at identifying factors leading to attitude change of civil servants. As hardly any paper is focused on civil servants' attitude change through games, the authors broaden their research to attitude change through games in general. Out of 483 documents, 19 reference papers were analyzed in detail. Eighty-one games were found, and more than 13 different theories were identified containing 30 different influencing factors, which were found mostly to be unrelated and context-dependent. The conceptual dispersion between studies indicates that the resulting overview of factors is a first step towards creating a uniform theory. The results can help governments to design better games.
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11.
  • Kleiman, Fernando, et al. (author)
  • A systematic literature review on the use of games for attitude change : Searching for factors influencing civil servants' attitudes
  • 2022
  • In: Research Anthology on Game Design, Development, Usage, and Social Impact. - : IGI Global. ; , s. 1956-1977
  • Book chapter (other academic/artistic)abstract
    • Governments are increasingly using games for civic engagement, decision making, and education. Serious gaming is a type of game that has often been advocated as a means for changing the attitude of its players and can be used for changing the attitude of civil servants. However, the relationship between games and attitude change in civil servants remains unexplored. This paper aims at identifying factors leading to attitude change of civil servants. As hardly any paper is focused on civil servants' attitude change through games, the authors broaden their research to attitude change through games in general. Out of 483 documents, 19 reference papers were analyzed in detail. Eighty-one games were found, and more than 13 different theories were identified containing 30 different influencing factors, which were found mostly to be unrelated and context-dependent. The conceptual dispersion between studies indicates that the resulting overview of factors is a first step towards creating a uniform theory. The results can help governments to design better games.
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12.
  • Kleiman, Fernando, et al. (author)
  • Behavioral factors influencing the opening of government data by civil servants : initial findings from the literature
  • 2020
  • In: Proceedings of the 13th International Conference on Theory and Practice of Electronic Governance. - New York, NY, USA : Association for Computing Machinery (ACM). ; , s. 529-534
  • Conference paper (peer-reviewed)abstract
    • The actual opening of government data is done by civil servants operating within their institutional environment. As such, the institutional environment and their behavior towards the opening of data is key to increase the quality and quantity of open data. However, few studies have analyzed the behavior of government professionals towards open data policy. The objective of this paper is to review the existing literature to find the factors that influences civil servants behaviors towards open data. To identify the drivers and barriers, a literature review was performed listing the most cited papers with "open government data"and "barriers"focusing specific at the behavioral related factors. Even with the increasing of research on the topic of open data, still most of the papers focus on user drivers and barriers rather than on provider challenges. Even less studies focus on the civil servants' individual level of factors influencing their support to the release of governmental data. Most barriers found in the literature are related to infrastructural or technical issues. Whereas some individual level behavioral barriers could be found, including culture, lack of individual incentives and misunderstanding the impact of opening data, broader discussions on social norms, lack of education and experience are still missing in the literature. This paper contributes to the need for deeper understanding of the behavioral factors that influences the civil servants to support the opening of data.
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13.
  • Lnenicka, Martin, et al. (author)
  • Identifying patterns and recommendations of and for sustainable open data initiatives : A benchmarking-driven analysis of open government data initiatives among European countries
  • 2024
  • In: Government Information Quarterly. - : Elsevier. - 0740-624X .- 1872-9517. ; 41:1
  • Journal article (peer-reviewed)abstract
    • Open government and open (government) data are seen as tools to create new opportunities, eliminate or at least reduce information inequalities and improve public services. More than a decade of these efforts has provided much experience, practices, and perspectives to learn how to better deal with them. This paper focuses on benchmarking of open data initiatives over the years and attempts to identify patterns observed among European countries that could lead to disparities in the development, growth, and sustainability of open data ecosystems. To do this, we studied benchmarks and indices published over the last years (57 editions of 8 artifacts) and conducted a comparative case study of eight European countries, identifying patterns among them considering different potentially relevant contexts such as e-government, open government data, open data indices and rankings, and others relevant for the country under consideration. Using a Delphi method, we reached a consensus within a panel of experts and validated a final list of 94 patterns, including their frequency of occurrence among studied countries and their effects on the respective countries. Finally, we took a closer look at the developments in identified contexts over the years and defined 21 recommendations for more resilient and sustainable open government data initiatives and ecosystems and future steps in this area.
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14.
  • Ofe, Hosea, 1984-, et al. (author)
  • Data Analytics Platforms : Value Propositions and Adoption Challenges for Small Hospitality Businesses
  • 2023
  • In: Proceedings of the 56th Annual Hawaii International Conference on System Sciences. - 9780998133164 ; , s. 3964-3973
  • Conference paper (peer-reviewed)abstract
    • Managers increasingly seek ways to explore insights from data for business improvements and innovation. Data Analytics (DA) platforms hold promise for businesses, especially small businesses that cannot afford tailor-made proprietary analytics services. DA platforms offer generic analytics features to a pool of businesses, saving costs and enabling benchmarking. This paper explores value propositions and adoption challenges for small businesses regarding DA. The paper offers practical insights from designing and launching a DA platform targeting small businesses in the hospitality sector. The findings of our paper show that data analytics is potentially valuable for small businesses through insights into market and customer trends. Small businesses can leverage such insights to refine their offerings. Trust and privacy concerns in sharing data are key challenges holding back adoption. We proposed measures, especially privacy-preserving technologies, to mitigate the risk of tracing a specific enterprise's data shared on the DA platform. These measures assure businesses that data shared or analyzed through the DA platform is not used to harm their competitive advantage.
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16.
  • Plugge, Albert, et al. (author)
  • A fuzzy-set qualitative comparative analysis of factors influencing successful shared service center implementation
  • 2022
  • In: Industrial management & data systems. - 0263-5577 .- 1758-5783. ; 122:4, s. 920-941
  • Journal article (peer-reviewed)abstract
    • Purpose - Organizations nowadays require services supplied by shared service centers (SSCs) to achieve organizational responsiveness. Previous contributions focused on distinct qualitative-explorative factors for explaining successful SSC implementation but failed to consider the interdependencies and combined effects between factors.Design/methodology/approach - Drawing on complexity and configuration theories, this research employed a fuzzy-set qualitative comparative analysis (fsQCA). A unique dataset of 121 international firms was obtained to examine the combined effects of five conditions (factors), namely, modularization, standardization, decision-rights, portfolio and customer-orientation .Findings - The findings show that multiple configurations of conditions (or solutions) can lead to successful SSC implementation. The fsQCA results indicated that portfolio and standardization are perceived as core conditions in all configurations. Firms that focus on portfolio and continuous evaluation of customer-orientation are more likely to be successful. Furthermore, in some configurations, the size of the firm size matters.Research limitations/implications - The cross-sectional survey data might be a potential limitation. In future research, a more extensive survey can be collected to help generalize the results.Practical implications - Success factors are dependent on the SSC configuration. Standardization, portfolio management and regular evaluations of changing customer services by executive management are needed.Originality/value - To the best of the authors' knowledge, there is no academic study that examines SSC implementation based on salient conditions using a configurational thinking approach. As such, the findings of the research allow us to better understand the causal complexity and interdependencies between essential SSC factors.
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17.
  • Ramos, Isabel, et al. (author)
  • The Future of Information Systems in a Post-COVID World by TC8 (Information Systems)
  • 2021
  • In: Advancing Research in Information and Communication Technology. - Cham : Springer Berlin/Heidelberg. - 9783030817008 - 9783030817015 ; , s. 333-360
  • Book chapter (other academic/artistic)abstract
    • This chapter consists of several sections which contain contributions from members of IFIP Technical Committee 8 (Information Systems). We highlight the accomplishments of Technical Committee 8 (TC8) and its working groups over its 50 years history, and then envisage possible strategies for the future of information systems (IS) in a post-COVID world. This chapter begins with an overall view of the diverse and changing roles of the IS field then moves forward to foresee environmental sustainability and digital glocalization in a post-COVID-19 world. Next, we review the achievements of TC8, the establishment of the working groups within it, and predict what TC8 has to offer into the future. Lastly, we identify the individual working groups of TC8 to detail their activities as important conduits of research and practice in the field of IS over the past 50 years, then imagine the roles of the TC8 working groups in a post-COVID landscape.
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18.
  • Susha, Iryna, 1986-, et al. (author)
  • A Research Roadmap to Advance Data Collaboratives Practice as a Novel Research Direction
  • 2018
  • In: International Journal of Electronic Government Research. - : IGI Global. - 1548-3886 .- 1548-3894. ; 14:3, s. 1-11
  • Journal article (peer-reviewed)abstract
    • An increasing number of initiatives have emerged around the world to help facilitate data sharing and collaborations to leverage different sources of data to address societal problems. They are called “data collaboratives”. Data collaboratives are seen as a novel way to match real life problems with relevant expertise and data from across the sectors. Despite its significance and growing experimentation by practitioners, there has been limited research in this field. In this article, the authors report on the outcomes of a panel discussing critical issues facing data collaboratives and develop a research and development agenda. The panel included participants from the government, academics, and practitioners and was held in June 2017 during the 18th International Conference on Digital Government Research at City University of New York (Staten Island, New York, USA). The article begins by discussing the concept of data collaboratives. Then the authors formulate research questions and topics for the research roadmap based on the panel discussions. The research roadmap poses questions across nine different topics: conceptualizing data collaboratives, value of data, matching data to problems, impact analysis, incentives, capabilities, governance, data management, and interoperability. Finally, the authors discuss how digital government research can contribute to answering some of the identified research questions.
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19.
  • Susha, Iryna, 1986-, et al. (author)
  • Benchmarks for evaluating the progress of open data adoption : usage, limitations, and lessons learnt
  • 2015
  • In: Social science computer review. - : SAGE Publications. - 0894-4393 .- 1552-8286. ; 33:5, s. 613-630
  • Journal article (peer-reviewed)abstract
    • Public organizations release their data for use by the public to open the government. Various benchmarks for evaluating the progress of open data adoption have emerged recently. In order to help bring about a better understanding of the common and differentiating elements in open data benchmarks and to identify the methodologies and metrics affecting their variation, this article compares open data benchmarks and describes lessons learned from their analysis. An interpretive meta-analysis approach was used and five benchmarks were compared with regard to metadata (key concepts, themes, and metaphors), meta-methods (methodologies underlying the benchmarks) and metatheories (theoretical assumptions at the foundation of the benchmarks). It was found that each benchmark has its strengths and weaknesses and is applicable in specific situations. Since the open data benchmarks have a different scope and focus and use different methodologies, they produce different results in terms of country ranks. There is an obvious gap in both the literature and benchmarks regarding the evolution of end-user practices and individual adoption of open data. Furthermore, lessons are drawn for the development of more comprehensive open data benchmarks and open government evaluation in general.   
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20.
  • Susha, Iryna, 1986-, et al. (author)
  • Critical Factors for Open Data Publication and Use : A Comparison of City-level, Regional, and Transnational Cases
  • 2015
  • In: eJournal of eDemocracy & Open Government. - : Danube-University Krems. - 2075-9517. ; 7:2, s. 94-115
  • Journal article (peer-reviewed)abstract
    • There is a lack of research concerning the factors influencing the success or failure of open data initiatives. Based on the results of two workshops, we provide a list of 47 success factors for open data publication and 18 success factors for open data use.  We further use three case studies (ENGAGE, Open NY, and Open Vienna) to examine how the criticality of factors varies depending on the geographical level and other characteristics of the open data initiative. The cases, representing open data initiatives at city, regional and transnational levels, point at different categories of critical success factors. Our key conclusions are that 1) the criticality of the factors depends considerably on the context of the open data initiative; 2) a number of success factors appear to be more universally applicable than others; 3) the factors that are critical to all three cases are derived from many different success factor categories, which suggests that open data initiatives should adopt an interdisciplinary approach, and 4) further work is needed to detail the success factors for open data publication and use in other contexts.
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21.
  • Susha, Iryna, 1986-, et al. (author)
  • Data Collaboratives : How to Create Value from Data for Public Problem Solving?
  • 2017
  • In: Proceedings of ACM dg.o conference. - New York, NY, USA : ACM Digital Library. - 9781450353175 ; , s. 604-606
  • Conference paper (peer-reviewed)abstract
    • This panel is dedicated to the theme of ‘data collaboratives’, a novel form of public private partnership to leverage data for addressing societal challenges. The panel brings together prolific researchers and practitioners to share lessons and discuss how value is created from data collaboratives for the solving of public problems. The panel will highlight prominent examples of data collaboratives at international, national, and regional/city-levels and discuss the value creation mechanisms underlying them, as well as more broadly best practices and challenges associated with data collaboratives. The panel offers an opportunity for conference attendees to engage with this emerging new theme through interactive discussions and presentations of cutting-edge research and practice. 
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22.
  • Susha, Iryna, 1986-, et al. (author)
  • Data Collaboratives as a New Frontier of Cross-Sector Partnerships in the Age of Open Data : Taxonomy Development
  • 2017
  • In: Proceedings of the 50th Hawaii International Conference on System Sciences. - : IEEE. - 9780998133102 ; , s. 2691-2700
  • Conference paper (peer-reviewed)abstract
    • Data collaboratives present a new form of cross-sector and public-private partnership to leverage (often corporate) data for addressing a societal challenge. They can be seen as the latest attempt to make data accessible to solve public problems. Although an increasing number of initiatives can be found, there is hardly any analysis of these emerging practices. This paper seeks to develop a taxonomy of forms of data collaboratives. The taxonomy consists of six dimensions related to data sharing and eight dimensions related to data use. Our analysis shows that data collaboratives exist in a variety of models. The taxonomy can help organizations to find a suitable form when shaping their efforts to create public value from corporate and other data. The use of data is not only dependent on the organizational arrangement, but also on aspects like the type of policy problem, incentives for use, and the expected outcome of data collaborative.
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23.
  • Susha, Iryna, 1986-, et al. (author)
  • Data collaboratives as “bazaars”? : A review of coordination problems and mechanisms to match demand for data with supply
  • 2017
  • In: Transforming Government. - : Emerald Group Publishing Limited. - 1750-6166 .- 1750-6174. ; 11:1, s. 157-172
  • Journal article (peer-reviewed)abstract
    • Purpose: In “data collaboratives”, private and public organizations coordinate their activities to leverage data to address a societal challenge. This paper aims to focus on analyzing challenges and coordination mechanisms of data collaboratives.Design/methodology/approach: This study uses coordination theory to identify and discuss the coordination problems and coordination mechanisms associated with data collaboratives. The authors also use a taxonomy of data collaborative forms from a previous empirical study to discuss how different forms of data collaboratives may require different coordination mechanisms.Findings: The study analyzed data collaboratives from the perspective of organizational and task levels. At the organizational level, the authors argue that data collaboratives present an example of the bazaar form of coordination. At the task level, the authors identified five coordination problems and discussed potential coordination mechanisms to address them, such as coordination by negotiation, by third party, by standardization, to name a few.Research limitations/implications: This study is one of the first few to systematically analyze the phenomenon of “data collaboratives”.Practical implications: This study can help practitioners better understand the coordination challenges they may face when initiating a data collaborative and to develop successful data collaboratives by using coordination mechanisms to mitigate these challenges.Originality/value: Data collaboratives are a novel form of data-driven initiatives which have seen rapid experimentation lately. This study draws attention to this concept in the academic literature and highlights some of the complexities of organizing data collaboratives in practice.
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24.
  • Susha, Iryna, 1986-, et al. (author)
  • Driving factors of service innovation using open government data : An exploratory study of entrepreneurs in two countries
  • 2015
  • In: Information Polity. - : IOS Press. - 1570-1255 .- 1875-8754. ; 20:1, s. 19-34
  • Journal article (peer-reviewed)abstract
    • Open government data offers great potential for innovation and growth in various sectors of societal life. The use of open data is expected to power the development of new or enhanced services and products. However, in practice service innovation on the basis of open data is in its infancy; furthermore, there is limited knowledge about the adoption of open data by businesses. This study investigates: What are the driving factors of open data adoption by businesses for service innovation? To get insights into this issue we conduct a survey of businesses in Sweden and the Netherlands who have experimented with open data. Our study is explorative since open data innovation is an emerging research direction. We find that the driving factors motivating businesses to innovate with open data differ widely, however on average innovativeness of the company and its expertise and skills play an important role. We also conclude that facilitating conditions are viewed by businesses as an influential driver, but they are not given enough attention by data providers.
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25.
  • Susha, Iryna, 1986-, et al. (author)
  • Open and Big Data Partnerships for Public Good : Interactive Live Polling of Influential Factors
  • 2016
  • In: Electronic Government and Electronic Participation. - Amsterdam : IOS Press. - 9781614996705 - 9781614996699 ; , s. 405-406
  • Conference paper (peer-reviewed)abstract
    • There is much potential for open and big data to be used for addressing societal challenges of today. This drives a new kind of partnership called "data collaborative" emphasizing the value of data for public good. Data collaboratives stand for cross-sector partnerships, whereby organizations in the private or public sector disclose their data, as an act of good will, in order to contribute to a societal cause (such as e.g. healthcare, humanitarian, or other policy issues). In this workshop we focus on this emerging topic which so far has deserved little attention in research. In our previous research an initial framework of influential factors for data collaboratives was introduced. The workshop objective is to validate and refine this initial framework by inviting participants to take part in an interactive live polling exercise and assess a number of propositions about influential factors.
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26.
  • Susha, Iryna, 1986-, et al. (author)
  • Organizational measures to stimulate user engagement with open data
  • 2015
  • In: Transforming Government. - : Emerald Group Publishing Limited. - 1750-6166 .- 1750-6174. ; 9:2, s. 181-206
  • Journal article (peer-reviewed)abstract
    • Purpose: This paper aims to investigate which organizational measures can facilitate the use of open data. Implementation of open government data initiatives is commonly supply-driven, as it is difficult to predict the possible uses and users of data. Nonetheless, the value of open data materializes only upon its use – either to achieve societal benefits or economic value.Design/methodology/approach: First, a list of organizational measures to facilitate open data use from the literature is collated. Then, four case studies to examine the challenges faced in practice when implementing them are carried out. The case sample includes two types of organizations (statistical agency and municipality) in two country settings (Sweden and The Netherlands).Findings: Public organizations find it challenging to set up support for open data users having various requirements and skills. Most public organizations have no or limited interaction with data users and are often selective with regards to with whom and how to communicate.Research limitations/implications: Given the fragmented and emerging state of research on open data use and engagement, to date no systematic framework existed which would be dedicated to user engagement strategies. The authors systematized the literature and identified the themes pertaining to this issue. Their contribution is a list of measures for public organizations to improve open data use.Practical implications: An important deliverable of this research is the list of possible organizational measures, which can be used by public managers to plan their open data engagement strategies. The authors suggest that data publishers adopt a problem-oriented approach for selecting which data to publish and put more efforts into stimulating stakeholder participation.Originality/value: The novelty of this study lies in the fact that it addresses a previously overlooked area of open data research, namely, the use of open data and ways to stimulate it.
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28.
  • Susha, Iryna, 1986-, et al. (author)
  • Workshop on context-specific critical success factors for open data publication and use
  • 2015
  • In: Proceedings of the International Conference for E-Democracy and Open Government 2015. - Krems, Austria : Donau-Universität. - 9783902505699 ; , s. 395-397
  • Conference paper (peer-reviewed)abstract
    • Governmental organizations around the globe step up their efforts to implement open data initiatives as part of their open government commitments. Thereis, however, little systematic evidence, in research and practice, as to what constitutes a “successful” open data initiative. In this workshop, we follow up on our previous work on Critical Success Factors (CSF) for open data. In particular, we aim to establish which of the CSFs that we previously identified apply in which contexts -thus allowing for a more fine-grained and targeted advice to open data practitioners. The workshop participants will be provided with the results from our previous research on factors that influence the success of open data initiatives and can benefit from the structured group discussions on factors that are critical to open data initiatives in a particular context
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29.
  • Susha, Iryna, 1986-, et al. (author)
  • Workshop on critical success factors for open data : from policy to participation and innovation
  • 2014
  • In: Electronic Government and Electronic Participation. - Amsterdam : IOS Press. - 9781614994299 - 9781614994282 ; , s. 305-306
  • Conference paper (peer-reviewed)abstract
    • Open data offer tremendous potential for participation and innovation. Yet open data providers and users are puzzled about what to do and what are key issues they should concentrate on. In this workshop, we provide insight in and discuss critical success factors for open data participation and innovation from various perspectives. The workshop contains various interactive elements, including a discussion about a research agenda for open data innovation and a brainstorming session about critical success factors for open data provision and use.
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31.
  • Zuiderwijk, Anneke, et al. (author)
  • Improving the speed and ease of open data use through metadata, interaction mechanisms, and quality indicators
  • 2016
  • In: Journal of Organizational Computing and Electronic Commerce. - : Taylor & Francis. - 1091-9392 .- 1532-7744. ; 26:1-2, s. 116-146
  • Journal article (peer-reviewed)abstract
    • The usage of Open Government Data (OGD) has not kept pace with the expectations as existing OGD infrastructures mainly serve as data repositories. Many OGD infrastructures do not stimulate or support OGD use processes, and there is a lack of research regarding which functionalities can stimulate such processes. The objective of this study is to use a design science approach to evaluate whether metadata, interaction mechanisms and data quality indicators can improve OGD use. OGD use comprises five main activities, namely searching for and finding OGD, OGD analysis, visualizing OGD, interacting about OGD, and OGD quality analysis. We expect that three OGD key infrastructure elements—metadata, interaction mechanisms, and data quality indicators—allow for improving these five OGD use activities. A prototype of an advanced OGD infrastructure was created which implements the three OGD infrastructure elements. Three quasi-experiments with a pre-test post-test control group design were conducted. The quasi-experiments showed that the prototype facilitated the usability of the novel OGD use functionalities. Our quasi-experiments supported our propositions that metadata, interaction mechanisms, and data quality indicators contribute to making OGD use easier and faster, and enhance the user experience. The infrastructure elements improved OGD use by better enabling searching, analysing, visualizing, discussing, giving feedback on and assessing the quality of open data. Hence, we plea for integrating metadata, interaction mechanisms, and data quality indicators in open data infrastructures to advance open data usage.
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32.
  • Zuiderwijk, Anneke, et al. (author)
  • Open data disclosure and use : critical factors from a case study
  • 2015
  • In: CeDEM 2015. - Krems : Edition Donau-Universität Krems. - 9783902505699 ; , s. 197-208
  • Conference paper (peer-reviewed)abstract
    • Little is known about the factors which influence the success or failure of open data initiatives. Based on the results of a workshop, we provide a list of success factors for open data publication and use (64 in total) and discuss their criticality in a particular setting using a case study (the ENGAGE project). The most critical success factors for open data publication and use, in the context of this case study, related to legislation, regulation and licenses. However,the criticality of factors depends considerably on the context of the open data initiative. Our key conclusions are that further work is needed to detail the success factors for open data publication and use in particular contexts, and that a number of success factors, such as those related to sustainability of publication process and user feedback, appear to be more universally applicable than others.
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Lindgren, Ida, 1980- (8)
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Grönlund, Åke, 1954- (4)
Verhulst, Stefaan (4)
Csáki, Csaba (4)
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Melin, Ulf, 1968- (3)
Virkar, Shefali (3)
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Loukis, Euripidis (3)
Meijer, Sebastiaan (2)
Andersson, Annika (2)
Bharosa, Nitesh (2)
Brave, Fritjof (2)
Ubacht, Jolien (2)
Lee, Habin (2)
Ofe, Hosea, 1984- (1)
de Reuver, Mark (1)
Adam, Frederic (1)
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