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

Wantao Yu (School of Business, Henan University, Kaifeng, China) (Kent Business School, University of Kent, Chatham, UK)
Ramakrishnan Ramanathan (Department of Business Systems, University of Bedfordshire Business School, Luton, UK)
Xingyu Wang (School of Business, Henan University, Kaifeng, China)
Jiehui Yang (School of Business, Henan University, Kaifeng, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 5 February 2018

2153

Abstract

Purpose

The purpose of this paper 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 resource-based view (RBV) and dynamic capability view (DCV) is analyzed 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.

Originality/value

Addressing the two important issues of moderation (i.e. environmental dynamism) and mediation (i.e. productivity), this study makes important contributions to the field of operations management by applying the RBV and DCV.

Keywords

Citation

Yu, W., Ramanathan, R., Wang, X. and Yang, J. (2018), "Operations capability, productivity and business performance: The moderating effect of environmental dynamism", Industrial Management & Data Systems, Vol. 118 No. 1, pp. 126-143. https://doi.org/10.1108/IMDS-02-2017-0064

Publisher

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Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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