Abteilung Umweltsozialwissenschaften

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      originalId => protected24134 (integer)
      authors => protected'Duygan, M.; Fischer, M.; Pärli, R.; Ingold, K.' (67 chars)
      title => protected'Where do smart cities grow? The spatial and socio-economic configurations of
          smart city development' (99 chars)
      journal => protected'Sustainable Cities and Society' (30 chars)
      year => protected2022 (integer)
      volume => protected77 (integer)
      issue => protected'' (0 chars)
      startpage => protected'103578 (12 pp.)' (15 chars)
      otherpage => protected'' (0 chars)
      categories => protected'smart cities; geographies of innovation; Switzerland; QCA; knowledge economy
         ; urban density' (91 chars)
      description => protected'In the last decade, a number of smart city initiatives have flourished aroun
         d the world. While the literature is ripe with descriptions of those project
         s and pioneering cities, there is far less systematic research on why some c
         ities are more advanced than others. As single locating entities, cities are
          posited to have strong geographic rootedness. Hence, spatial and socio-econ
         omic context, considered as the main stimulant of organizational innovation,
          can be particularly important for cities. We investigate 22 Swiss cities wi
         th smart city projects and use fuzzy-set Qualitative Comparative Analysis to
          determine the configuration of conditions that make some cities more advanc
         ed than others in their smart city development. Results indicate that a conf
         iguration of high share of service sector, presence of research institutions
          and high urban density is sufficient for the outcome, whereas population si
         ze, new residential development and participation to international networks 
         appear as less important. By providing insights into the spatial and socio-e
         conomic underpinnings of smart city development, the study contributes to th
         e understanding of the geographies of smart cities.' (1191 chars)
      serialnumber => protected'2210-6707' (9 chars)
      doi => protected'10.1016/j.scs.2021.103578' (25 chars)
      uid => protected24134 (integer)
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