eCite Digital Repository

Exploring innovation success recipes in low-technology firms using fuzzy-set QCA


Reichert, FR and Torugsa, N(A) and Zawislak, PA and Arundel, A, Exploring innovation success recipes in low-technology firms using fuzzy-set QCA, Journal of Business Research, 69, (11) pp. 5437-5441. ISSN 0148-2963 (2016) [Refereed Article]

Copyright Statement

2016 Elsevier Inc. All rights reserved.

DOI: doi:10.1016/j.jbusres.2016.04.151


This study explores the configurations of innovation capabilities ("recipes") that enable firms in low-technology industries ("low-tech firms") to achieve high innovative performance. Using a sample of 614 Brazilian low-tech firms, the study employs fuzzy-set qualitative comparative analysis (QCA) to identify how the four capabilities - development, operations,management and transaction - combine to produce high innovative performance. The analyses identify two recipes for innovation success, both of which include high levels of development and transaction capabilities. However, these two capabilities (while necessary) are not sufficient for achieving high innovative performance: they are meaningful only when combined with either a management or an operations capability. The study contributes to a comprehensive understanding of innovation in low-tech industries by showing that low-tech firms, even with limited research and development capacities, can successfully innovate when they develop and use an appropriate set of capabilities. The study results should help managers uncover potential ways of combining capabilities for innovation success and suggest that low-tech firms could benefit from policy support and training to develop such capabilities.

Item Details

Item Type:Refereed Article
Keywords:low-tech firms, innovative performance, innovation capabilities, fuzzy-set QCA
Research Division:Commerce, Management, Tourism and Services
Research Group:Strategy, management and organisational behaviour
Research Field:Innovation management
Objective Division:Economic Framework
Objective Group:Management and productivity
Objective Field:Technological and organisational innovation
UTAS Author:Torugsa, N(A) (Dr Ann Torugsa)
UTAS Author:Arundel, A (Professor Anthony Arundel)
ID Code:109027
Year Published:2016
Web of Science® Times Cited:9
Deposited By:Australian Innovation Research Centre
Deposited On:2016-05-18
Last Modified:2017-11-28
Downloads:2 View Download Statistics

Repository Staff Only: item control page