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Luca Tangi

Personal Details

First Name:Luca
Middle Name:
Last Name:Tangi
Suffix:
RePEc Short-ID:pta893

Affiliation

Joint Research Centre
European Commission

Sevilla, Spain
https://ec.europa.eu/jrc/en/about/jrc-site/seville
RePEc:edi:ipjrces (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. TANGI Luca & VAN NOORDT Colin & COMBETTO Marco & GATTWINKEL Dietmar & PIGNATELLI Francesco, 2022. "AI Watch. European landscape on the use of Artificial Intelligence by the Public Sector," JRC Research Reports JRC129301, Joint Research Centre.
  2. JORGE RICART Raquel & VAN ROY Vincent & ROSSETTI Fiammetta & TANGI Luca, 2022. "AI Watch. National strategies on Artificial Intelligence: A European perspective. 2022 edition," JRC Research Reports JRC129123, Joint Research Centre.
  3. MANZONI Marina & MEDAGLIA Rony & TANGI Luca & VAN NOORDT Colin & VACCARI Lorenzino & GATTWINKEL Dietmar, 2022. "AI Watch Road to the adoption of Artificial Intelligence by the Public Sector: A Handbook for Policymakers, Public Administrations and Relevant Stakeholders," JRC Research Reports JRC129100, Joint Research Centre.

Articles

  1. Tangi, Luca & Janssen, Marijn & Benedetti, Michele & Noci, Giuliano, 2021. "Digital government transformation: A structural equation modelling analysis of driving and impeding factors," International Journal of Information Management, Elsevier, vol. 60(C).

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. JORGE RICART Raquel & VAN ROY Vincent & ROSSETTI Fiammetta & TANGI Luca, 2022. "AI Watch. National strategies on Artificial Intelligence: A European perspective. 2022 edition," JRC Research Reports JRC129123, Joint Research Centre.

    Cited by:

    1. Óscar Andrés Molina & Miriam Jiménez Bernal & Daniel López Wolf & Benjamín Herreros, 2024. "What is Spanish regulation on the application of artificial intelligence to medicine like?," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-7, December.

Articles

  1. Tangi, Luca & Janssen, Marijn & Benedetti, Michele & Noci, Giuliano, 2021. "Digital government transformation: A structural equation modelling analysis of driving and impeding factors," International Journal of Information Management, Elsevier, vol. 60(C).

    Cited by:

    1. Guo, Chuanyin & Song, Qiwei & Yu, Ming-Miin & Zhang, Jian, 2024. "A digital economy development index based on an improved hierarchical data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 316(3), pages 1146-1157.
    2. Di Wang & Xuefeng Shao & Yang Song & Hualu Shao & Longqi Wang, 2023. "The Effect of Digital Transformation on Manufacturing Enterprise Performance," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(63), pages 593-593, April.
    3. Mishra, Deepa Bhatt & Haider, Imran & Gunasekaran, Angappa & Sakib, Md. Nazmus & Malik, Nishtha & Rana, Nripendra P., 2023. "“Better together”: Right blend of business strategy and digital transformation strategies," International Journal of Production Economics, Elsevier, vol. 266(C).
    4. David, Sofia & Zinica, Daniel & Bărbuță-Mișu, Nicoleta & Savga, Larisa & Virlanuta, Florina-Oana, 2024. "Public administration managers' and employees' perceptions of adaptability to change under “the future of work” paradigm," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    5. Gillani, Fatima & Chatha, Kamran Ali & Jajja, Shakeel Sadiq & Cao, Dongmei & Ma, Xiao, 2024. "Unpacking Digital Transformation: Identifying key enablers, transition stages and digital archetypes," Technological Forecasting and Social Change, Elsevier, vol. 203(C).

More information

Research fields, statistics, top rankings, if available.

Statistics

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NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 3 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-BIG: Big Data (3) 2022-08-15 2022-08-15 2022-09-12. Author is listed

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