Addressing productivity paradox with big data: implications to policy making

Informations projet

BIGPROD

N° de convention de subvention: 870822

DOI

10.3030/870822

Projet clôturé

Date de signature de la CE 8 Novembre 2019

Date de début 1 Decembre 2019

Date de fin 30 Avril 2022

Financé au titre de

• SOCIETAL CHALLENGES - Europe In A Changing World - Inclusive, Innovative And Reflective Societies

Coût total

€ 993 726,25

Contribution de l’UE

€ 993 726,25

Coordonné par

TEKNOLOGIAN TUTKIMUSKESKUS VTT OY
Finland

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (11)

Dissemination of workshop results, scientific paper and policy brief

Dissemination of workshop results scientific paper and policy brief

Final platform operation report

Final platform operation report the deliverable reports on the data sources mining algorithms and numbers relative to the operation of the platform PPMI

Interim platform operation report:

Interim platform operation report the deliverable reports on the data sources mining algorithms and numbers relative to the operation of the platform PPMI

Interim Reports D2.1 and D3.2

Interim Reports D21 and D32 dissemination on social media

Policy Brief_1

Policy brief aiming to introduce project objectives and spark discussions

Final report on the including updated literature

Final report on the including updated literature the estimations of the econometric model and a discussion of the policy implications

Work in progress scientific publication

Work in progress publication addressing each pilot with a concrete list of variables data needed and measures created

Interim report including the literature review

Interim report including the literature review, an outline of the econometric model plus data description to be used.

Scientific publication

Scientific publication submitted on published in the repository evaluating the productivity in each pilot

Policy Brief_2

Policy brief aiming to introduce project objectives and spark discussions also introducing the preliminary achievements and ongoing actions

Scientific paper

Scientific paper on the extended CDM model

Websites, patent fillings, videos etc. (4)

Interim Report D3.3

Interim Report D33 and Update on Pilots dissemination on social media

Social Media launch

Social Media launch including website and other media presence Twitter Facebook etc

Final reports D2.2, D3.4, D3.5 and D4.4 dissemination (on social media)

Final reports D22 D34 D35 and D44 dissemination on social media

Policy Brief_3

Policy brief encompassing all three pilots describing in detail the potential of Big data approached in all three pilots

Demonstrators, pilots, prototypes (3)

3rd consultation_Experts on D3.3

3rd consultation with experts (data science focus) on Interim Report “Platform Operation” D3.3

Validation Workshop
Interactive learning workshop

Other (2)

Programme code

Dashboard-like visualization of the measures and a GitHub repository of programme code (Jupyter Notebooks)

Personal Data Protection Strategy and Measures - Final report

Open Research Data Pilot (1)

Personal Data Protection Strategy and Measures - Interim report

Personal Data Protection Strategy and Measures Interim report

Publications

Other (9)

Addressing the productivity paradox with big data: A literature review and adaptation of the CDM econometric model

Auteurs: Torben Schubert, Angela Jäger, Serdar Turkeli & Fabiana Visentin
Publié dans: MERIT Working Papers, Numéro 2020-050, 2020
Éditeur: United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT)

BIGPROD: Write-up of three pilot cases

Auteurs: Suominen Arho, Hajikani Arash, Ashouri Sajad, Cunningham Scott
Publié dans: dataverse, 2022
Éditeur: dataverse
DOI: 10.34894/r99trk

Indicators on firm level innovation activities from web scraped data

Auteurs: Sajad Ashouri, Arho Suominen, Arash Hajikhani, Lukas Pukelis, Torben Schubert, Serdar Türkeli, Cees Van Beers, Scott Cunninghum
Publié dans: 2021
Éditeur: Elsevier
DOI: 10.2139/ssrn.3938767

Addressing the productivity paradox with big data: A literature review and adaptation of the CDM econometric model

Auteurs: Torben Schubert, Angela Jäger, Serdar Türkeli, Fabiana Visentin
Publié dans: UNU-MERIT Working Paper Series, 2020
Éditeur: Maastricht Economic and social Research institute on Innovation and Technology (UNU‐MERIT)

BIGPROD Data & Information

Auteurs: Ashouri Sajad, Suominen Arho, Hajikhani Arash, Cunningham Scott, Schubert Torben, Türkeli Serdar, Jäger Angela, Van Beers Cees, Pukelis Lukas, Deschryvere Mathias
Publié dans: dataverse, 2022
Éditeur: dataverse

Connecting firm's web scraped textual content to body of science: Utilizing microsoft academic graph hierarchical topic modeling

Auteurs: Arash Hajikhani, Lukas Pukelis, Arho Suominen, Sajad Ashouri, Torben Schubert, Ad Nottend, Scott W.Cunninghame
Publié dans: MethodsX, Numéro 22150161, 2022, ISSN 2215-0161
Éditeur: Elsevier
DOI: 10.1016/j.mex.2022.101650

Return of the Solow-paradox in AI? AI-adoption and firm productivity

Auteurs: Asta Bäck, Arash Hajikhani, Angela Jäger, Torben Schubert, Arho Suominen
Publié dans: Papers in Innovation Studies, Lund University, CIRCLE - Centre for Innovation Research, 2022
Éditeur: Scandinavian Working Papers in Economics

Policy Brief: Introducing BIGPROD

Auteurs: Arho Suominen, Ad Notten
Publié dans: 2020
Éditeur: United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT)

Policy Brief: Data Analytics in Policy-Making: The BIGPROD approach

Auteurs: Arho Suominen, Arash Hajikhani
Publié dans: 2020
Éditeur: United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT)

Peer reviewed articles (1)

Research themes in big data analytics for policymaking: Insights from a mixed‐methods systematic literature review

Auteurs: Arho Suominen, Arash Hajikhani
Publié dans: Policy & Internet, 2021, ISSN 1944-2866
Éditeur: Wiley
DOI: 10.1002/poi3.258