Configurational conditions and Sustained Competitive Advantage: a fsQCA approach

Cao, D ORCID: https://orcid.org/0000-0002-2614-3726, Wang, Y, Berkeley, N and Tjahjono, B, 2022. Configurational conditions and Sustained Competitive Advantage: a fsQCA approach. Long Range Planning, 55 (4): 102131. ISSN 0024-6301

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Abstract

Traditional manufacturing firms in emerging markets such as China are increasingly facing the challenge of digital transformation for Sustained Competitive Advantage (SCA). Underpinned by the resource orchestration theory, this study posits that organisational resources (relational and technological), transformation capability, and organisational characteristics are configurational conditions for SCA. Using fuzzy-set Qualitative Comparative Analysis (fsQCA), this study reveals multiple pathways – configurational resources and capabilities in sets of necessary and sufficient conditions – leading to SCA in a sample of 206 Chinese clothing manufacturing firms. Results suggest that relational resources are a necessary condition that fundamentally drives SCA; small firms can achieve SCA by combining relational resources and transformation capability, while portfolio technological resources are sufficient for large firms. For organisations with higher levels of global market engagement, both relational and portfolio technological resources are essential for achieving SCA. This study enhances understanding of the interdependence of the causal conditions (e.g., organisational resources and capability) in set relations with the outcome of SCA in different firms considering their size and level of global market engagement.

Item Type:	Journal article
Publication Title:	Long Range Planning
Creators:	Cao, D., Wang, Y., Berkeley, N. and Tjahjono, B.
Publisher:	Elsevier BV
Date:	August 2022
Volume:	55
Number:	4
ISSN:	0024-6301
Identifiers:	Number Type 10.1016/j.lrp.2021.102131 DOI 1604330 Other
Divisions:	Schools > Nottingham Business School
Record created by:	Jeremy Silvester
Date Added:	27 Oct 2023 09:32
Last Modified:	22 Jul 2024 03:00
URI:	https://irep.ntu.ac.uk/id/eprint/50132

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