PropertyValue
?:abstract
  • In 2017–2018, Seattle-based Tech behemoth Amazon executed a highly publicised location-finding process for a $5 billion investment project, dubbed ‘HQ2’. Owing to the combination of high investment volume and the company’s unique public exposure, the HQ2 process is on course to becoming a basic yardstick for future foreign direct investment (FDI) projects all over the world. This article compiles the company’s previously unpublished site selection criteria and develops an evidence-based system of investment decision arguments which is employed to test the currently dominant approaches in location decision theory - behavioural, neoclassical, and institutional. Our results identify gaps vis-à-vis this emerging ‘Gold Standard’ and we propose the addition of a fourth, project-oriented approach to theory to fill the detected shortcomings. Furthermore, this system equips policymakers with a tool to evaluate their investment attraction strategies based on the decision criteria extracted from the HQ2 process. (xsd:string)
?:contributor
?:dateModified
  • 2020 (xsd:gyear)
?:datePublished
  • 2020 (xsd:gyear)
?:doi
  • 10.17645/up.v5i3.3207 ()
?:duplicate
?:hasFulltext
  • true (xsd:boolean)
is ?:hasPart of
?:inLanguage
  • en (xsd:string)
?:isPartOf
?:issn
  • 2183-7635 ()
?:issueNumber
  • 3 (xsd:string)
?:linksDOI
is ?:mainEntity of
?:name
  • Amazon’s HQ2 Site Selection Criteria: The New ‘Gold Standard’ in FDI Decision-Making (xsd:string)
?:provider
?:publicationType
  • Zeitschriftenartikel (xsd:string)
  • journal_article (en)
?:sourceInfo
  • GESIS-SSOAR (xsd:string)
  • In: Urban Planning, 5, 2020, 3, 403-417 (xsd:string)
rdf:type
?:url
?:volumeNumber
  • 5 (xsd:string)