Country-level investigation of innovation investment in manufacturing: Paired fsQCA of two models

Malcolm Beynon, Paul Jones, David Pickernell

    Research output: Contribution to journalArticle

    9 Citations (Scopus)
    26 Downloads (Pure)

    Abstract

    Innovation plays a critical role in economic growth. This study analyzes the association between actually implementing innovation and its antecedents, considering a country-level dataset covering innovation-active manufacturing firms in 47 countries. The relationship this article considers is between different drivers of innovation and market preparation for innovation. The study investigates this relationship through fuzzy-set Qualitative Comparative Analysis (fsQCA). The study examines the consideration of different sets of condition variables, identifies the importance of individual variables across causal recipes, and provides understanding of variations in the drivers towards market introduction of innovation between sets of countries. This study also provides an example of the effect on causal recipes in fsQCA when including/excluding a condition variable.

    Publisher Statement: NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Business Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Business Research, [69, 11, (2016)] DOI: 10.1016/j.avb.2014.12.004

    © 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
    Original languageEnglish
    Pages (from-to)5401-5407
    Number of pages7
    JournalJournal of Business Research
    Volume69
    Issue number11
    Early online date1 Jun 2016
    DOIs
    Publication statusPublished - Nov 2016

    Bibliographical note

    NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Business Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Business Research, [69, 11, (2016)] DOI: 10.1016/j.avb.2014.12.004

    © 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

    Keywords

    • FsQCA
    • Innovation
    • Manufacturing
    • Condition variables

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