Industry does matter: Analysing innovation, firm performance and organisational learning heterogeneities on Brazilian manufacturing sectors

被引：10

作者：

Gomes, Giancarlo ^{[1
]}

Seman, Laio Oriel ^{[2
]}

Carmona, Linda Jessica De Montreuil ^{[1
]}

机构：

[1] Univ Blumenau, Dept Management, FURB, Blumenau, Brazil

[2] Univ Vale do Itajai UNIVAL, Grad Program Appl Comp Sci, Itajai, Brazil

来源：

STRUCTURAL CHANGE AND ECONOMIC DYNAMICS | 2022年 / 63卷

关键词：

Organisational Learning Capability; Firm Performance; Innovation Performance; Manufacturing Industry; Innovation Management; BUSINESS PERFORMANCE; PRODUCT DEVELOPMENT; ENTREPRENEURIAL ORIENTATION; SMALL ENTERPRISES; EXPORT INTENSITY; CAPABILITY; MANAGEMENT; BEHAVIOR;

D O I：

10.1016/j.strueco.2022.08.001

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper analyses the influence of organisational learning capability (OLC) on the innovation and firm performance of 318 organisations - exporters and non-exporters -belonging to four industrial sectors: furniture & wood, chemicals & plastics, textile & clothing and metal-mechanical & metallurgy. For data analysis, partial least squares (PLS) path modelling was used, in addition to compositional invariance analysis. Results show that OLC influences innovation performance, which in turn impacts firm performance. The heterogeneities analysis found significant differences based on the industry type. However, the results remained unaltered for exporters and non-exporters. The study contributes to the literature when testing the mentioned relationships focusing on the differences across industries, a subject understudied in the innovation literature. Through compositional invariance analysis, results reveal that the studied industries perceive some learning dimensions - participative decision and dialogue - in a different way.

引用

页码：544 / 555

页数：12

共 74 条

[31] A review of innovation research in economics, sociology and technology management [J].

Gopalakrishnan, S ;

Damanpour, F .

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 1997, 25 (01) :15-28

[32] Effects of innovation types on firm performance [J].

Gunday, Gurhan ;

Ulusoy, Gunduz ;

Kilic, Kemal ;

Alpkan, Lutfihak .

INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2011, 133 (02) :662-676

[33]

Hair J.F., 2022, A primer on partial least squares structural equation modeling (PLS-SEM), V3rd ed.

[34] Multivariate data analysis in pharmaceutics: A tutorial review [J].

Rajalahti, Tarja ;

Kvalheim, Olav M. .

INTERNATIONAL JOURNAL OF PHARMACEUTICS, 2011, 417 (1-2) :280-290

[35]

Hedberg Brian., 1981, Handbook of Organizational Design

[36] The influence of institutional factors on the technology acquisition performance of high-tech firms: survey results from Germany and Japan [J].

Hemmert, M .

RESEARCH POLICY, 2004, 33 (6-7) :1019-1039

[37] Testing measurement invariance of composites using partial least squares [J].

Henseler, Jorg ;

Ringle, Christian M. ;

Sarstedt, Marko .

INTERNATIONAL MARKETING REVIEW, 2016, 33 (03) :405-431

[38] A new criterion for assessing discriminant validity in variance-based structural equation modeling [J].

Henseler, Jorg ;

Ringle, Christian M. ;

Sarstedt, Marko .

JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2015, 43 (01) :115-135

[39] Entrepreneurial orientation, learning orientation, and innovation in small and medium enterprises [J].

Huang, Shihping Kevin ;

Wang, Yu-Lin .

PROCEEDINGS OF 7TH INTERNATIONAL STRATEGIC MANAGEMENT CONFERENCE, 2011, 24

[40] Organizational learning and compensation strategies:: Evidence from the Spanish Chemical Industry [J].

Jerez-Gómez, P ;

Céspedes-Lorente, J ;

Valle-Cabrera, R .

HUMAN RESOURCE MANAGEMENT, 2005, 44 (03) :279-299

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