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Addressing productivity paradox with big data: implications to policy making

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Dissemination of workshop results, scientific paper and policy brief (opens in new window)

Dissemination of workshop results scientific paper and policy brief

Final platform operation report (opens in new window)

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: (opens in new window)

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 (opens in new window)

Interim Reports D21 and D32 dissemination on social media

Policy Brief_1 (opens in new window)

Policy brief aiming to introduce project objectives and spark discussions

Final report on the including updated literature (opens in new window)

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 (opens in new window)

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

Interim report including the literature review (opens in new window)

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

Scientific publication (opens in new window)

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

Policy Brief_2 (opens in new window)

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

Scientific paper (opens in new window)

Scientific paper on the extended CDM model

Interim Report D3.3 (opens in new window)

Interim Report D33 and Update on Pilots dissemination on social media

Social Media launch (opens in new window)

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) (opens in new window)

Final reports D22 D34 D35 and D44 dissemination on social media

Policy Brief_3 (opens in new window)

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

Programme code (opens in new window)

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

Personal Data Protection Strategy and Measures - Final report (opens in new window)

Publications

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

Author(s): Torben Schubert, Angela Jäger, Serdar Turkeli & Fabiana Visentin
Published in: MERIT Working Papers, Issue 2020-050, 2020
Publisher: United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT)

BIGPROD: Write-up of three pilot cases (opens in new window)

Author(s): Suominen Arho, Hajikani Arash, Ashouri Sajad, Cunningham Scott
Published in: dataverse, 2022
Publisher: dataverse
DOI: 10.34894/r99trk

Indicators on firm level innovation activities from web scraped data (opens in new window)

Author(s): Sajad Ashouri, Arho Suominen, Arash Hajikhani, Lukas Pukelis, Torben Schubert, Serdar Türkeli, Cees Van Beers, Scott Cunninghum
Published in: 2021
Publisher: Elsevier
DOI: 10.2139/ssrn.3938767

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

Author(s): Torben Schubert, Angela Jäger, Serdar Türkeli, Fabiana Visentin
Published in: UNU-MERIT Working Paper Series, 2020
Publisher: Maastricht Economic and social Research institute on Innovation and Technology (UNU‐MERIT)

BIGPROD Data & Information

Author(s): Ashouri Sajad, Suominen Arho, Hajikhani Arash, Cunningham Scott, Schubert Torben, Türkeli Serdar, Jäger Angela, Van Beers Cees, Pukelis Lukas, Deschryvere Mathias
Published in: dataverse, 2022
Publisher: dataverse

Connecting firm's web scraped textual content to body of science: Utilizing microsoft academic graph hierarchical topic modeling (opens in new window)

Author(s): Arash Hajikhani, Lukas Pukelis, Arho Suominen, Sajad Ashouri, Torben Schubert, Ad Nottend, Scott W.Cunninghame
Published in: MethodsX, Issue 22150161, 2022, ISSN 2215-0161
Publisher: Elsevier
DOI: 10.1016/j.mex.2022.101650

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

Author(s): Asta Bäck, Arash Hajikhani, Angela Jäger, Torben Schubert, Arho Suominen
Published in: Papers in Innovation Studies, Lund University, CIRCLE - Centre for Innovation Research, 2022
Publisher: Scandinavian Working Papers in Economics

Policy Brief: Introducing BIGPROD

Author(s): Arho Suominen, Ad Notten
Published in: 2020
Publisher: United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT)

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

Author(s): Arho Suominen, Arash Hajikhani
Published in: 2020
Publisher: 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 (opens in new window)

Author(s): Arho Suominen, Arash Hajikhani
Published in: Policy & Internet, Issue 19442866, 2021, ISSN 1944-2866
Publisher: Wiley
DOI: 10.1002/poi3.258

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