Decision making processes based on innovation indicators: which implications for technology assessment?

Based on the report for “Project IV” unit of the PhD programme on Technology Assessment. This thesis research has the supervision of António Moniz (FCT-UNL and ITAS-KIT) and Manuel Laranja (ISEG-UTL). Other members of the thesis committee are Stefan Kuhlmann (Twente University), Leonhard Hennen (Karlsruhe Institute of Technology-ITAS), Tiago Santos Pereira (Universidade de Coimbra/CES) and Cristina Sousa (FCT-UNL).The present work deals with the use of innovation indicators in the decision-making process. It intends to contribute to the discussion on the construction, use and analysis of indicator systems and also to evaluate its weight on decision-making in innovation. The goal is to help understand how innovation indicators can influence technology policy and through it, society at large. This work will start by analysing the use of indicators (their problems and consistency) and other sources of information that contribute to build the opinions of innovation decision makers. This will be followed by a survey and interviews with main innovation actors. The results will shed light on the impact of the use of indicators by the innovation community – both in terms of technology policy and in the social sphere. Proposals and implications for the future will be advanced, hopefully adding new contributions to the governance of the science, technology and innovation field

How composite indicators of innovation can influence technology policy decision?

Based on the report for Project III of the PhD programme on Technology Assessment and prepared for the Winter School that took place at Universidade Nova de Lisboa, Caparica Campus on the 6th and 7th of December 2010.This working paper is based on the development of the Thesis Plan presented for the Units Project II and Project III at the 1st Winter School of PhD programme on Technology Assessment at FCT/UNL. It focuses the methodology analysis and includes empirical information elements, in order to understand how composite indicators of innovation can influence technology policy decisions. In order to test the hypotheses raised in the Thesis Plan, two separate phases were designed. On the first part, the work tests hypotheses 1 and partially 2, identifying the quality, depth and limitations of three famous complex indicator-based systems, namely the Science, Technology and Industry Scoreboard, the European Innovation Scoreboard 2008 and Innovation Union Scoreboard 2010. On the second phase, the remaining hypotheses are tested adding media databases analysis, which will provide complementary information to a set of interviews to policy makers, in order to understand the role of the composite indicators on technology decisions.PhD programme on Technology Assessmen

the transition to teleworking and competing forms of trade unionism

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Innovation assessment in a local branch of a rail transport manufacture industry - A case study

Based on a poster submitted to CONCORD 2011 - Conference on Corporate R&D: The dynamics of Europe's industrial structure and the growth of innovative firms, Sevilla, IPTS, 6 Out. 2011, Seville, http://www.eventisimo.com/concord2011/recibido.htmlIn the context of the revitalization of the Portuguese railway sector with the construction of the high-speed railway network, the working paper proposes an analysis of the results found from the application of an innovation scoring to the Portuguese branch of a global multinational in the railway business. The aim of this exercise is to learn on the innovation management flow between the global corporation and the local branch in Portugal. It also aims to assess the degree of local innovation multinationals generate in view of such type of mega public investments. The working paper is structured in five chapters. In chapter one introduces the innovation scoring tool, instrument of work; chapter two covers the methodology used; the chapter tree presents the case study, subject of research; chapter four presents the findings; and chapter 5 closes with concluding remarks

The use of indicators and evidence in governance and policy development of science, technology and innovation

This paper was first presented at the 2012 – EU SPRI Conference “Towards Transformative Governance? - Responses to mission-oriented innovation policy paradigms”, Fraunhofer ISI, June 2012, KarlsruheIn this paper we reflect upon how policy-makers look for, interpret and use evidence for reflection and policy development. We propose an exploratory framework that sets out two of the elements necessary to a conceptualization of what may explain the way in which evidence and indicators are used in STI policy development: the type of evaluative approach and the styles of governance

Portugal

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Implications on industrial productivity and employment in automotive sector

UIDB/04647/2020 UIDP/04647/2020Recent developments in automation and artificial intelligence (AI) are leading to a wave of innovation in organizational design and changes in the workplace. Techno-optimists even named it the “second machine age,” arguing that it now involves the substitution of the human brain. Other authors see this as just a continuation of previous ICT developments. Potentially, automation and AI can have significant technical, economic, and social implications in firms. This paper will answer the following question: What are the implications on industrial productivity and employment in the automotive sector with the recent automation trends, including AI, in Portugal? Our approach used mixed methods to conduct statistical analyses of relevant databases and interviews with experts on R&D projects related to automation and AI implementation. Results suggest that automation can have widespread adoption in the short term in the automotive sector, but AI technologies will take more time to be adopted. The findings show that adoption of automation and AI increases productivity in firms and is dephased in time with employment implications. Investments in automation are not substituting operators but rather changing work organization. Thus, negative effects of technology and unemployment were not substantiated by our results.publishersversionpublishe

Research and development expenditure in the business sector as indicator of knowledge economy: the Portuguese experience

The objective of the paper is to help to understand recent changes in the structure of R&D activities, by analyzing data on the expenditure of the business sector in research and development (R&D). The results are framed in an international context, through comparison with indicators from the most developed countries, divided by technological intensity and economic activity. The study reveals that the indicators of Portuguese R&D expenditure in the business sector are closely linked both to fiscal policy and to high foreign direct investment in knowledge-intensive industries. It also links these indicators to phenomena such as the abundance of skilled labor in pharmaceutical industries and the government intervention in some sectors of the economy (namely health and rail transportation)

Indicators in Technology Assessment – Passive Choices or Reflected Options?

UID/SOC/04647/2013 SFRH/BD/76200/2011There is a lack of research on indicators in TA studies. But, there are several reasons supporting the need to address this omission: indicators are cornerstones of many TA studies, revealing the scope and quality of the problem addressed. They are not normatively neutral instruments for analysing problems, but they can frame problems and strategies for the solution of problems. They need to be transparent and thoughtfully selected to open alternatives and prevent unintended controversies; they require substantial refection because conditions for their use may change significantly, and finally they can provide valid insights for TA about the policy process. Furthermore, this paper offers a heuristic model for analyzing knowledge production within TA studies. This is done to improve the analysis of complex problems and structuring options for democratic decision-making. The model proposes a detailed explanation of the complete selection of indicators using transparent criteria and analysing the observables used or the ones which should be used or the ones not yet known. Finally, this paper provides insights into the discussion of the panel organized while addressing the question as to how we can acquire deeper and more comprehensive knowledge leading TA professionals to reflect on options in their studies.publishersversionpublishe

Mobilisation of a Portuguese trade union to organise and represent ride-hailing drivers in Portugal

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