Measuring broad-based innovation

Mika Nieminen (Editor), Olavi Lehtoranta (Editor)

    Research output: Book/ReportReport

    Abstract

    The book contributes to the discussion of monitoring and measuring broadbased innovation. The major questions are: are available indicators working properly, and can we find new perspectives on or indicators for innovation processes? The study discusses and investigates many aspects of measurement, logic of measurement, challenges encountered in measurement, possible solutions, and complementary measurement frameworks. While the study provides critical perspectives on extending innovation measurement and is sceptical whether current statistics serve in best possible way policy-making, it suggests also new, improved measurements and indicators. For instance, public-sector innovation and other organisations and service innovations should be more widely included in innovation surveys. Also the measurement of user and consumer innovation should be further developed. We should also find new methodologies to better catch the networked and systemic character of innovation like ones that utilize internet-based sources and 'big data'. Some of the conclusions of the study are that innovation statistics should make a clearer distinction between an invention, the innovation process and the diffusion process, the different character of innovations should be better taken into account, and the factors promoting and hampering innovations should be included more clearly in the measurements than at present.
    Original languageEnglish
    Place of PublicationEspoo
    PublisherVTT Technical Research Centre of Finland
    Number of pages195
    ISBN (Electronic)978-951-38-8386-7
    ISBN (Print)978-951-38-8385-0
    Publication statusPublished - 2015
    MoE publication typeNot Eligible

    Publication series

    SeriesVTT Technology
    Number242
    ISSN2242-1211

    Fingerprint

    Innovation
    Innovation process
    Statistics
    Service innovation
    Policy making
    Innovation measurement
    Factors
    Methodology
    Public sector
    Logic
    Invention
    Innovation surveys
    Critical perspective
    Diffusion process
    Monitoring
    World Wide Web

    Keywords

    • innovation statistics
    • broad-based innovation
    • innovation measurement
    • innovation indicators

    Cite this

    Nieminen, M., & Lehtoranta, O. (Eds.) (2015). Measuring broad-based innovation. Espoo: VTT Technical Research Centre of Finland. VTT Technology, No. 242
    Nieminen, Mika (Editor) ; Lehtoranta, Olavi (Editor). / Measuring broad-based innovation. Espoo : VTT Technical Research Centre of Finland, 2015. 195 p. (VTT Technology; No. 242).
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    Nieminen, M & Lehtoranta, O (eds) 2015, Measuring broad-based innovation. VTT Technology, no. 242, VTT Technical Research Centre of Finland, Espoo.

    Measuring broad-based innovation. / Nieminen, Mika (Editor); Lehtoranta, Olavi (Editor).

    Espoo : VTT Technical Research Centre of Finland, 2015. 195 p. (VTT Technology; No. 242).

    Research output: Book/ReportReport

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    AB - The book contributes to the discussion of monitoring and measuring broadbased innovation. The major questions are: are available indicators working properly, and can we find new perspectives on or indicators for innovation processes? The study discusses and investigates many aspects of measurement, logic of measurement, challenges encountered in measurement, possible solutions, and complementary measurement frameworks. While the study provides critical perspectives on extending innovation measurement and is sceptical whether current statistics serve in best possible way policy-making, it suggests also new, improved measurements and indicators. For instance, public-sector innovation and other organisations and service innovations should be more widely included in innovation surveys. Also the measurement of user and consumer innovation should be further developed. We should also find new methodologies to better catch the networked and systemic character of innovation like ones that utilize internet-based sources and 'big data'. Some of the conclusions of the study are that innovation statistics should make a clearer distinction between an invention, the innovation process and the diffusion process, the different character of innovations should be better taken into account, and the factors promoting and hampering innovations should be included more clearly in the measurements than at present.

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    Nieminen M, (ed.), Lehtoranta O, (ed.). Measuring broad-based innovation. Espoo: VTT Technical Research Centre of Finland, 2015. 195 p. (VTT Technology; No. 242).