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  • 1.
    Juell-Skielse, Gustaf
    et al.
    Stockholm University.
    Lönn, Carl-Mikael
    Stockholm University.
    Päivärinta, Tero
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Modes of collaboration and expected benefits of inter-organizational E-government initiatives: A multi-case study2017In: Government Information Quarterly, ISSN 0740-624X, E-ISSN 1872-9517, Vol. 34, no 4, p. 578-590Article in journal (Refereed)
    Abstract [en]

    Collaboration among governmental organizations has been regarded as essential for realizing benefits of e-government investments. Inter-organizational collaboration on e-government can appear in several forms and can aim at varying types of benefits. However, few if any studies have delved deeper into analysis of how chosen forms of collaboration might relate to targeted e-government benefits. This article studies five cases of how contemporary acquisitions and implementations of digital archiving systems have been launched through five modes of collaboration (autonomous, standardization, framework agreement, consortium, and central service organization) among organizations in the Swedish public sector. Our analysis reveals that whereas the target system, digital archive in our case, stays similar, expected benefits vary. The article contributes by elaborating the concept of mode of collaboration that identifies typical benefits justifying a choice of a particular collaboration form on e-government development and describing the five modes in more detail based on a multi-case study. The article also outlines fourteen related propositions of the correlation between the collaboration modes and expected benefits to be verified by further research.

  • 2.
    Lassinantti, Josefin
    et al.
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Ståhlbröst, Anna
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Runardotter, Mari
    Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
    Relevant social groups for open data use and engagement2019In: Government Information Quarterly, ISSN 0740-624X, E-ISSN 1872-9517, Vol. 36, no 1, p. 98-111Article in journal (Refereed)
    Abstract [en]

    The opening up of public sector data has provided a new data resource for the citizens. However, the use of open data and its consequent societal value has proved not to be as extensive as initially hoped for, although multiple innovations have emerged; rather it is still considered problematic, and knowledge about open data use is scarce. Therefore, the aim of this paper is to clarify open data use and engagement by people outside the public sector, especially what motives exists and how different user types align to these motives. To achieve this, a document analysis has been carried out of reported use cases identified in EU topic reports between 2014 and 2016. By applying the theory of Relevant Social Groups (RSG), which focuses on the people's interpretation of the purpose with the technology, we identified five RSGs representing overall motives for open data use: 1) Exploring for creativity, 2) Creating business value, 3) Enabling local citizen value, 4) Addressing global societal challenges, and 5) Advocating the open data agenda. We also discuss differences between the relevant social groups and the included user types, issues and implications for understanding the evolvement of the open data field, and suggests research ahead.

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