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

Malcolm Beynon; Paul Jones; David Pickernell

doi:10.1016/j.jbusres.2016.04.145

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

Malcolm Beynon, Paul Jones, David Pickernell

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

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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 language	English
Pages (from-to)	5401-5407
Number of pages	7
Journal	Journal of Business Research
Volume	69
Issue number	11
Early online date	1 Jun 2016
DOIs	https://doi.org/10.1016/j.jbusres.2016.04.145
Publication status	Published - 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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@article{0080a02117b9485583a5e934aef814c1,

title = "Country-level investigation of innovation investment in manufacturing: Paired fsQCA of two models",

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{\textquoteright}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{\textcopyright} 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",

author = "Malcolm Beynon and Paul Jones and David Pickernell",

note = "NOTICE: this is the author{\textquoteright}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 {\textcopyright} 2016, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ ",

year = "2016",

month = nov,

doi = "10.1016/j.jbusres.2016.04.145",

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T1 - Country-level investigation of innovation investment in manufacturing

T2 - Paired fsQCA of two models

AU - Beynon, Malcolm

AU - Jones, Paul

AU - Pickernell, David

N1 - 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/

PY - 2016/11

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N2 - 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/

AB - 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/

KW - FsQCA

KW - Innovation

KW - Manufacturing

KW - Condition variables

U2 - 10.1016/j.jbusres.2016.04.145

DO - 10.1016/j.jbusres.2016.04.145

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VL - 69

SP - 5401

EP - 5407

JO - Journal of Business Research

JF - Journal of Business Research

SN - 0148-2963

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ER -