The Flow and Use of Knowledge in Networks of Electric Mobility: A Theoretical Development

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Abstract

The paper discusses the main drivers of the flow and use of knowledge in
decision networks of sustainable electric mobility. Electric mobility can have a
significant impact in a transition to a more sustainable mobility system. There
are reasons to believe that this transition can be knowledge–dependent.
Examples suggest that the use of bits and concealed tacit knowledge in
decision networks are significantly relevant to this transition. Literature
shows that transfers of tacit knowledge occur in networks with developed
individual social capital and are conditioned by earlier personal interactions.
Social capital can provide centrality and power to actors in networks. It can
be enhanced by developing trust and displaying and/or implying possession
of knowledge relevant for present or future action. Tacit knowledge in
technology innovation decisions, in particular, is thought to be significantly
valued, because innovation is permeated by strong elements of uncertainty
and complexity that drive actors to seek for non–explicit forms of knowledge
in networks of near–peers. The paper concludes that the urge for knowledge
in situations where not much can be found may drive decision–makers to over
rely on partial and partisan knowledge during decision–making. The paper
ends with a discussion about the need for more research concerning
knowledge in emergent decision networks of electric mobility.
Original languageEnglish
Title of host publicationSociotechnical Environments:
Subtitle of host publicationProceedings of the 6th STS ITALIA CONFERENCE
EditorsStefano Crabu, Paolo Giardullo, Francesco Miele, Mauro Turrini
Place of PublicationMilão
Publisher Sts Italia Publishing
Pages607-616
Number of pages10
ISBN (Print)978–88–940625–1–9
Publication statusPublished - 2017
Event6th STS Italia Conference | Sociotechnical Environments - Trento
Duration: 24 Nov 201626 Nov 2016

Conference

Conference6th STS Italia Conference | Sociotechnical Environments
CityTrento
Period24/11/1626/11/16

Keywords

  • Electric vehicles
  • knowledge management
  • sustainable mobility
  • decision networks
  • technology assessment

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