Supply chain resilience: Conceptualization and scale development using dynamic capability theory

Chowdhury, MMH; Quaddus, M

Supply chain resilience: Conceptualization and scale development using dynamic capability theory

Chowdhury, MMH

Quaddus, M

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Publication Type:: Journal Article
Citation:: International Journal of Production Economics, 2017, 188 pp. 185 - 204
Issue Date:: 2017-06-01

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Field	Value	Language
dc.contributor.author	Chowdhury, MMH https://orcid.org/0000-0001-7735-9642	en_US
dc.contributor.author	Quaddus, M	en_US
dc.date.issued	2017-06-01	en_US
dc.identifier.citation	International Journal of Production Economics, 2017, 188 pp. 185 - 204	en_US
dc.identifier.issn	0925-5273	en_US
dc.identifier.uri	http://hdl.handle.net/10453/124474
dc.description.abstract	© 2017 Elsevier B.V. A growing number of researchers and practitioners have placed supply chain resilience (SCRE) at the forefront of their research agendas due to an increased susceptibility to disruptive events in global supply chains. However, empirical research in this area has been affected by the lack of a validated measurement model. In this context, drawing on dynamic capability theory, this research develops a measurement instrument for SCRE. This research conducts a qualitative field study, followed by a quantitative survey. Content analysis is used to explain various dimensions in the qualitative field study, and partial least squares (PLS)-based structural equation modelling (SEM) is used to analyse the data collected in the quantitative survey. The research is conducted with three rounds of data collection and analyses. The results show that SCRE is a multidimensional and hierarchical construct, which consists of three primary dimensions: proactive capability, reactive capability and supply chain design quality. These three primary dimensions are further operationalized through twelve sub-dimensions. The findings also affirm that the SCRE scale potentially better predicts supply chain operational vulnerability (OV) and supply chain performance (SCP) and conforms to the “technical” and “evolutionary” fitness criteria of dynamic capability theory. The implications of these findings are discussed in the context of theory and practice. Limitations and future avenues of research are also discussed.	en_US
dc.relation.ispartof	International Journal of Production Economics	en_US
dc.relation.isbasedon	10.1016/j.ijpe.2017.03.020	en_US
dc.subject.classification	Operations Research	en_US
dc.title	Supply chain resilience: Conceptualization and scale development using dynamic capability theory	en_US
dc.type	Journal Article
utslib.citation.volume	188	en_US
utslib.for	150309 Logistics and Supply Chain Management	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Management Discipline
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	188	en_US

Abstract:

© 2017 Elsevier B.V. A growing number of researchers and practitioners have placed supply chain resilience (SCRE) at the forefront of their research agendas due to an increased susceptibility to disruptive events in global supply chains. However, empirical research in this area has been affected by the lack of a validated measurement model. In this context, drawing on dynamic capability theory, this research develops a measurement instrument for SCRE. This research conducts a qualitative field study, followed by a quantitative survey. Content analysis is used to explain various dimensions in the qualitative field study, and partial least squares (PLS)-based structural equation modelling (SEM) is used to analyse the data collected in the quantitative survey. The research is conducted with three rounds of data collection and analyses. The results show that SCRE is a multidimensional and hierarchical construct, which consists of three primary dimensions: proactive capability, reactive capability and supply chain design quality. These three primary dimensions are further operationalized through twelve sub-dimensions. The findings also affirm that the SCRE scale potentially better predicts supply chain operational vulnerability (OV) and supply chain performance (SCP) and conforms to the “technical” and “evolutionary” fitness criteria of dynamic capability theory. The implications of these findings are discussed in the context of theory and practice. Limitations and future avenues of research are also discussed.

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http://hdl.handle.net/10453/124474