Operations capability, productivity and business performance: the moderating effect of environmental dynamism

2.50
Hdl Handle:
http://hdl.handle.net/10547/622134
Title:
Operations capability, productivity and business performance: the moderating effect of environmental dynamism
Authors:
Yu, Wantao; Ramanathan, Ramakrishnan ( 0000-0002-8861-2209 ) ; Wang, Xingyu; Yang, Jeihui
Abstract:
Purpose – The purpose of this study is to investigate the relationships between operations capability, productivity and business performance in the context of environmental dynamism. Design/methodology/approach – A proposed conceptual framework grounded in the resourcebased view (RBV) and dynamic capability view (DCV) is analysed using archival data from 193 automakers in the UK. Findings – The results show that operations capability, as an important dynamic capability, has a significant positive effect on productivity, which in turn leads to improved business performance. The results also suggest that productivity fully mediates the relationship between operations capability and business performance, and that environmental dynamism significantly moderates the relationship between operations capability and productivity. Practical implications – The research findings provide practical insights that will help managers develop operations capability to gain greater productivity and business performance in a dynamic environment.
Citation:
Yu W, Ramanathan R, Wang X, Yang J (2017) 'Operations capability, productivity and business performance: the moderating effect of environmental dynamism', Industrial Management and Data Systems.
Publisher:
Emerald
Journal:
Industrial Management and Data Systems
Issue Date:
27-Jun-2017
URI:
http://hdl.handle.net/10547/622134
DOI:
10.1108/IMDS-02-2017-0064
Type:
Article
Language:
en
ISSN:
0263-5577
Appears in Collections:
Business and management

Full metadata record

DC FieldValue Language
dc.contributor.authorYu, Wantaoen
dc.contributor.authorRamanathan, Ramakrishnanen
dc.contributor.authorWang, Xingyuen
dc.contributor.authorYang, Jeihuien
dc.date.accessioned2017-06-27T09:55:21Z-
dc.date.available2017-06-27T09:55:21Z-
dc.date.issued2017-06-27-
dc.identifier.citationYu W, Ramanathan R, Wang X, Yang J (2017) 'Operations capability, productivity and business performance: the moderating effect of environmental dynamism', Industrial Management and Data Systems.en
dc.identifier.issn0263-5577-
dc.identifier.doi10.1108/IMDS-02-2017-0064-
dc.identifier.urihttp://hdl.handle.net/10547/622134-
dc.description.abstractPurpose – The purpose of this study is to investigate the relationships between operations capability, productivity and business performance in the context of environmental dynamism. Design/methodology/approach – A proposed conceptual framework grounded in the resourcebased view (RBV) and dynamic capability view (DCV) is analysed using archival data from 193 automakers in the UK. Findings – The results show that operations capability, as an important dynamic capability, has a significant positive effect on productivity, which in turn leads to improved business performance. The results also suggest that productivity fully mediates the relationship between operations capability and business performance, and that environmental dynamism significantly moderates the relationship between operations capability and productivity. Practical implications – The research findings provide practical insights that will help managers develop operations capability to gain greater productivity and business performance in a dynamic environment.en
dc.language.isoenen
dc.publisherEmeralden
dc.rightsGreen - can archive pre-print and post-print or publisher's version/PDF-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectoperations capabilityen
dc.subjectproductivityen
dc.subjectenvironmental dynamismen
dc.subjectdynamic capabilityen
dc.subjectdata envelopment analysisen
dc.subjectG200 Operational Researchen
dc.titleOperations capability, productivity and business performance: the moderating effect of environmental dynamismen
dc.typeArticleen
dc.identifier.journalIndustrial Management and Data Systemsen
dc.date.updated2017-06-27T09:49:04Z-
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