Addressing productivity paradox with big data: implications to policy making

Rezultaty

Dissemination of workshop results, scientific paper and policy brief

Dissemination of workshop results scientific paper and policy brief

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

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

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

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

Personal Data Protection Strategy and Measures - Interim report

Personal Data Protection Strategy and Measures Interim report

Publikacje

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

Autorzy: Torben Schubert, Angela Jäger, Serdar Turkeli & Fabiana Visentin
Opublikowane w: MERIT Working Papers, Numer 2020-050, 2020
Wydawca: United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT)

BIGPROD: Write-up of three pilot cases

Autorzy: Suominen Arho, Hajikani Arash, Ashouri Sajad, Cunningham Scott
Opublikowane w: dataverse, 2022
Wydawca: dataverse
DOI: 10.34894/r99trk

Indicators on firm level innovation activities from web scraped data

Autorzy: Sajad Ashouri, Arho Suominen, Arash Hajikhani, Lukas Pukelis, Torben Schubert, Serdar Türkeli, Cees Van Beers, Scott Cunninghum
Opublikowane w: 2021
Wydawca: Elsevier
DOI: 10.2139/ssrn.3938767

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

Autorzy: Torben Schubert, Angela Jäger, Serdar Türkeli, Fabiana Visentin
Opublikowane w: UNU-MERIT Working Paper Series, 2020
Wydawca: Maastricht Economic and social Research institute on Innovation and Technology (UNU‐MERIT)

BIGPROD Data & Information

Autorzy: Ashouri Sajad, Suominen Arho, Hajikhani Arash, Cunningham Scott, Schubert Torben, Türkeli Serdar, Jäger Angela, Van Beers Cees, Pukelis Lukas, Deschryvere Mathias
Opublikowane w: dataverse, 2022
Wydawca: dataverse

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

Autorzy: Arash Hajikhani, Lukas Pukelis, Arho Suominen, Sajad Ashouri, Torben Schubert, Ad Nottend, Scott W.Cunninghame
Opublikowane w: MethodsX, Numer 22150161, 2022, ISSN 2215-0161
Wydawca: Elsevier
DOI: 10.1016/j.mex.2022.101650

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

Autorzy: Asta Bäck, Arash Hajikhani, Angela Jäger, Torben Schubert, Arho Suominen
Opublikowane w: Papers in Innovation Studies, Lund University, CIRCLE - Centre for Innovation Research, 2022
Wydawca: Scandinavian Working Papers in Economics

Policy Brief: Introducing BIGPROD

Autorzy: Arho Suominen, Ad Notten
Opublikowane w: 2020
Wydawca: United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT)

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

Autorzy: Arho Suominen, Arash Hajikhani
Opublikowane w: 2020
Wydawca: United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT)

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

Autorzy: Arho Suominen, Arash Hajikhani
Opublikowane w: Policy & Internet, Numer 19442866, 2021, ISSN 1944-2866
Wydawca: Wiley
DOI: 10.1002/poi3.258

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