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

Malcolm Beynon, Paul Jones, David Pickernell

Research output: Contribution to journalArticle

6 Citations (Scopus)
22 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

Fingerprint

Qualitative comparative analysis
Innovation
Fuzzy sets
Manufacturing
Business research
Control mechanism
Manufacturing firms
Attribution
Editing
Economic growth
Peer review
License
Preparation
Quality control

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

Cite this

Country-level investigation of innovation investment in manufacturing : Paired fsQCA of two models. / Beynon, Malcolm; Jones, Paul; Pickernell, David.

In: Journal of Business Research, Vol. 69, No. 11, 11.2016, p. 5401-5407.

Research output: Contribution to journalArticle

Beynon, Malcolm ; Jones, Paul ; Pickernell, David. / Country-level investigation of innovation investment in manufacturing : Paired fsQCA of two models. In: Journal of Business Research. 2016 ; Vol. 69, No. 11. pp. 5401-5407.
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