Deliverables
DCE Plan - Web platform and communication assessment. We will build a functional website with the use of a series of existing, audience-specific communication channels. The website with all its add-ons (blogs, twitter, etc.) is one of the primary tools for external communication. Other means for external communication such as policy briefs, conference contributions, project events, statistics and indicator group meetings and social media activity will be in use.
Digitalization and platforms. This task will develop a framework for how the role of ICT in productivity can be measured and analysed. This includes the role of digitalization through platforms, innovation on ICTs, the complementarity for organisational competences and new ways of doing business in this context. [UPSud lead, STN]
Linking micro-level measures of intangibles with business statistics and LEED data building on the FP7 Innodrive methodology. Develop, validate and refine firm-level measures of related intangibles. For countries where LEED data is not available, we will develop and test methods to measure intangibles using occupation data at more aggregated levels. [AU, UVA, UL, STN]
Develop, validate and refine micro-level measures of intangibles related to owners’ business network participation, based on ownership data linking owner-managers of SMEs with data for business board chairmanship and board membership. Identify other participants in business board networks with frequent board participation and their characteristics. [STN]
All aspects relating to the financial management of the project will be the responsibility of the partner UVA, which will also be in charge of the reporting needs of the project.
Defining new concepts for intangibles and productivity. Building on state of the art reviewed in WP1, this task will explore and further develop concepts for intangible assets and measures of firm productivity. Work will consider different approaches to conceptualisation and measurement, taking into account differences in data infrastructure across EU countries. [UHAM lead, UL, UPSud]
Global perspective on innovation value chains and related industrial policy, intended as book chapter. [UHAM lead, NTUA, other partners]
The consortium will constantly screen for and harness dissemination and exploitation opportunities. This will be continuously updated in the DCE plan, including assembling, expanding and updating our list of stakeholders and interest from NSIs in EU countries (also non-participating countries) in joining workshops, policy briefs or data processing activities. A Dissemination and exploitation plan will be developed at the beginning of the project and discussed with the PO and other stakeholders in the kick off meeting. This also includes the planning of dissemination and exploitation activities. We will address stakeholder groups that could be users of our metrics, performance and impact assessment approaches (EC, funding agencies, etc.) in the form of policy briefs and back-to-back meetings with statistical gatherings. We will involve them at strategic points in the project: • Assessing users’ needs through stakeholder questionnaire survey (M5) and small workshop oriented to the statistical community (M7). • Workshop on scenarios for the implementation of new indicators and methods in the European Statistical System (M24) • Presentations and Policy brief D7.8 on policy designs in intangible assets and innovation policy (M24) as a back-to-back meeting (NTTS2019/21 series)
Literature review on the productivity puzzle, focusing on studying the productivity literature in detail, providing a micro-foundation to macro understanding of productivity patterns. Particular focus will be given to identifying the demand and supply-side factors that affect productivity as well as their contribution, including the role of the state and governance quality. [UL lead, all partners]
State of the art in policy frameworks. A structured and systematic literature review explores the state of the art when it comes to the role of policy, regulatory and fiscal framework conditions for the generation (supply) and in particular the adoption and use (demand) of intangible assets (ICT, R&D competences, organisational practices). The review will cover academic and evaluation practitioner.
Assessment of the IA-related statistical activities undertaken by NSIs at EU level. [AU, STN]
Framework for measuring intangible assets from register-based data. An overview of existing data will be prepared. Based on the new definition and approaches to capture a specific variable in the literature; a set of register-based variables will be suggested.
This task relates to the overall management and coordination of the GLOBALINTO project. This will primarily be the responsibility of the Project Manager (PM) and will ensure that the R&D tasks are being conducted 1) in accordance with the workplan, 2) in line with the H2020 scope (which includes monitoring the role of women at all levels within the project), and 3) in within the time period. Six partner meetings will be arranged in partner institutes during the project starting from the kick-off meeting (WP1). Six meetting via internet are meeting to ensure that the project proceeds according to the plan. In addition, two External Advisory Board (EAB) meetings will be organised back to back with the Project Management. Advisory board consists of • VP Federal Reserve Bank of Philadelphia Leonard Nakamura, the USA • Prof. Tsutomu Miyagawa, Gakushuin University, Japan • Svein Olav Nås The Research Council of Norway and Chairman of the OECD-NESTI working party • Member from European Union • Member from Eurostat • Member from OECD – Directorate for Science, Technology and Innovation
Outline existing methodologies and sources addressing growth. [UL lead, other partners]
This deliverable is updated regularly based on feedback by the REA. Macro level data at industry level over Europe is made public and accessible through our website. Micro-level data aggregated to industry level will complement this in the countries whenever firm-level data is used in excess to industry-level data to construct intangible assets.
Publications
Author(s): Hannu Piekkola, Jaana Rahko
Published in: Economics of Innovation and New Technology, 2019, Page(s) 1-22, ISSN 1043-8599
DOI: 10.1080/10438599.2019.1655878
Author(s): Hannu Piekkola
Published in: Journal of Intellectual Capital, Issue ahead-of-print/ahead-of-print, 2020, ISSN 1469-1930
DOI: 10.1108/jic-10-2019-0241
Author(s): Carita Mirjami Eklund
Published in: Journal of Intellectual Capital, Issue ahead-of-print/ahead-of-print, 2020, ISSN 1469-1930
DOI: 10.1108/jic-07-2019-0188
Author(s): Kristof Van Criekingen
Published in: Journal of Intellectual Capital, Issue ahead-of-print/ahead-of-print, 2020, ISSN 1469-1930
DOI: 10.1108/jic-07-2019-0187
Author(s): Lampel, Joseph; Edler, Jakob; Gadepalli, Sarada D.
Published in: Fraunhofer ISI, Issue 1, 2020
