Amazon’s HQ2 Site Selection Criteria
The New ‘Gold Standard’ in FDI Decision-Making
Bibliographic Data
| ID | 22018407 |
|---|---|
| Authors | Alfried Braumann (0000-0002-3361-395X, TU Wien, corresponding author) |
| Year | 2020 |
| Volume | 5 |
| Issue | 3 |
| Pages | 403-417 |
| Publication date | 2020-09-29 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Urban Planning (JOURNAL) |
| Journal identifiers | ISSN: 2183-7635 • E-ISSN: 2183-7635 |
| Publisher | Cogitatio (PUBLISHER • PT) |
| DOI | 10.17645/up.v5i3.3207 |
| OpenAlex | W3090397846 |
| Language | EN |
| Citations received | 3 |
| References cited | 17 |
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 This article compiles the company’s previously unpublished site selection criteria and develops an evidence-based system of investment decision arguments which is employed to test the currently dominant approaches in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
Business · Economics · Foreign direct investment · Operations research · Political science · Public economics · Public investment · Site selection · Yardstick · Auction Theory and Applications · Computer Science · Engineering · Law · Public Procurement and Policy · Public-Private Partnership Projects · Artificial Intelligence
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| Unique citing works | 3 |
|---|---|
| Citations per year | 0,5 |
| Citation span | 2020 - 2025 (6) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 3 |