PreprintCited by 3Public Procurement and PolicyE-Government and Public ServicesLegal and Labor Studies

Digital Technologies, Public Procurement and Sustainability: Some Exploratory Thoughts

Open access
Sanchez-Graells, Albert·2019·SSRN Electronic Journal

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OpenAlex · 10.2139/ssrn.3482341

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  • The vast demand for AI-related jobs clashes with a shortage of highly qualified professionals.

    “The problem is that the vast demand for AI-related jobs clashes with a shortage of highly qualified professionals.”

    From Artificial Intelligence and Sustainable Decisions (2023) · cites this paper as [126]

  • According to McKinsey, big tech companies such as Alibaba, Amazon and Google are securing qualified talent to develop their AI strategy by buying startups and hiring many of the available experts in the market.

    “According to McKinsey, big tech companies-such as Alibaba, Amazon and Google-are securing qualified talent to develop their AI strategy by buying startups and hiring many of the available experts in the market.126”

    From Artificial Intelligence and Sustainable Decisions (2023) · cites this paper as [126]

Cited by

Sorted by citations

Authors
Sanchez-Graells, A.
Venue
SSRN Electronic Journal
Publisher
Elsevier BV
Published
2019
ISSN
1556-5068 (ISSN-L)
OpenAlex
W3102544889
Cited by
3
References
0
Citations by year
2023: 1 · 2022: 2
Type
posted content
Language
en
Open access
Locations
SSRN Electronic Journal (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Public Procurement and Policy
  • Social Sciences › Political Science and International Relations › E-Government and Public Services
  • Social Sciences › Business, Management and Accounting › Industrial relations › Legal and Labor Studies
Keywords
digitalization, public procurement, sustainable procurement, data architecture, sustainability

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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