Digital technologies play an important role for the delivery of many public services. However, selecting and adopting the 'right' digital technologies is often challenging, especially for federally structured governments. Universal factors for successful adoption are hard to establish, and the particularities of federalism, such as the separation of competencies, complicate technology selection. Nevertheless, blockchain technology seems to flourish in these environments. Through a single-case study on the blockchain project of Germany's Federal Office for Migration and Refugees, we unpack one essential factor for this success: the fit between (cross-) organizational task structure and technological properties. This fit earns the Federal Office's project considerable credit and traction with stakeholders and partner authorities - not least because it supports the argument that the digitalization of federal systems is possible without 'digital centralization' and redistribution of competencies. Our task-technology fit analysis contributes to a better understanding of the adoption of blockchain in the public sector. It also provides the foundation for an extended task-technology fit theory for federally structured, cross-organizational contexts.
机构:
Virginia Tech, Bradley Dept Elect & Comp Engn, Adv Res Inst, Arlington, VA 22203 USAVirginia Tech, Bradley Dept Elect & Comp Engn, Adv Res Inst, Arlington, VA 22203 USA
Lin, Jason
Pipattanasomporn, Manisa
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Virginia Tech, Bradley Dept Elect & Comp Engn, Adv Res Inst, Arlington, VA 22203 USA
Chulalongkorn Univ, Dept Elect Engn, Smart Grid Res Unit, Bangkok 29208, ThailandVirginia Tech, Bradley Dept Elect & Comp Engn, Adv Res Inst, Arlington, VA 22203 USA
Pipattanasomporn, Manisa
Rahman, Saifur
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机构:
Virginia Tech, Bradley Dept Elect & Comp Engn, Adv Res Inst, Arlington, VA 22203 USAVirginia Tech, Bradley Dept Elect & Comp Engn, Adv Res Inst, Arlington, VA 22203 USA
机构:
Virginia Tech, Bradley Dept Elect & Comp Engn, Adv Res Inst, Arlington, VA 22203 USAVirginia Tech, Bradley Dept Elect & Comp Engn, Adv Res Inst, Arlington, VA 22203 USA
Lin, Jason
Pipattanasomporn, Manisa
论文数: 0引用数: 0
h-index: 0
机构:
Virginia Tech, Bradley Dept Elect & Comp Engn, Adv Res Inst, Arlington, VA 22203 USA
Chulalongkorn Univ, Dept Elect Engn, Smart Grid Res Unit, Bangkok 29208, ThailandVirginia Tech, Bradley Dept Elect & Comp Engn, Adv Res Inst, Arlington, VA 22203 USA
Pipattanasomporn, Manisa
Rahman, Saifur
论文数: 0引用数: 0
h-index: 0
机构:
Virginia Tech, Bradley Dept Elect & Comp Engn, Adv Res Inst, Arlington, VA 22203 USAVirginia Tech, Bradley Dept Elect & Comp Engn, Adv Res Inst, Arlington, VA 22203 USA