Addressing productivity paradox with big data: implications to policy making

Información del proyecto

BIGPROD

Identificador del acuerdo de subvención: 870822

DOI

10.3030/870822

Proyecto cerrado

Fecha de la firma de la CE 8 Noviembre 2019

Fecha de inicio 1 Diciembre 2019

Fecha de finalización 30 Abril 2022

Financiado con arreglo a

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

Coste total

€ 993 726,25

Aportación de la UE

€ 993 726,25

Coordinado por

TEKNOLOGIAN TUTKIMUSKESKUS VTT OY
Finland

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

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

Publicaciones

Other (9)

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

Autores: Torben Schubert, Angela Jäger, Serdar Turkeli & Fabiana Visentin
Publicado en: MERIT Working Papers, Edición 2020-050, 2020
Editor: United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT)

BIGPROD: Write-up of three pilot cases

Autores: Suominen Arho, Hajikani Arash, Ashouri Sajad, Cunningham Scott
Publicado en: dataverse, 2022
Editor: dataverse
DOI: 10.34894/r99trk

Indicators on firm level innovation activities from web scraped data

Autores: Sajad Ashouri, Arho Suominen, Arash Hajikhani, Lukas Pukelis, Torben Schubert, Serdar Türkeli, Cees Van Beers, Scott Cunninghum
Publicado en: 2021
Editor: Elsevier
DOI: 10.2139/ssrn.3938767

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

Autores: Torben Schubert, Angela Jäger, Serdar Türkeli, Fabiana Visentin
Publicado en: UNU-MERIT Working Paper Series, 2020
Editor: Maastricht Economic and social Research institute on Innovation and Technology (UNU‐MERIT)

BIGPROD Data & Information

Autores: Ashouri Sajad, Suominen Arho, Hajikhani Arash, Cunningham Scott, Schubert Torben, Türkeli Serdar, Jäger Angela, Van Beers Cees, Pukelis Lukas, Deschryvere Mathias
Publicado en: dataverse, 2022
Editor: dataverse

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

Autores: Arash Hajikhani, Lukas Pukelis, Arho Suominen, Sajad Ashouri, Torben Schubert, Ad Nottend, Scott W.Cunninghame
Publicado en: MethodsX, Edición 22150161, 2022, ISSN 2215-0161
Editor: Elsevier
DOI: 10.1016/j.mex.2022.101650

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

Autores: Asta Bäck, Arash Hajikhani, Angela Jäger, Torben Schubert, Arho Suominen
Publicado en: Papers in Innovation Studies, Lund University, CIRCLE - Centre for Innovation Research, 2022
Editor: Scandinavian Working Papers in Economics

Policy Brief: Introducing BIGPROD

Autores: Arho Suominen, Ad Notten
Publicado en: 2020
Editor: United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT)

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

Autores: Arho Suominen, Arash Hajikhani
Publicado en: 2020
Editor: 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

Autores: Arho Suominen, Arash Hajikhani
Publicado en: Policy & Internet, 2021, ISSN 1944-2866
Editor: Wiley
DOI: 10.1002/poi3.258