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Relational resources and performance of Chinese third-party logistics providers: The mediating role of innovation capability

Relational resources and performance of Chinese third-party logistics providers: The mediating role of innovation capability

Shou, Yongyi, Shao, Jinan and Chen, Anlan (2017) Relational resources and performance of Chinese third-party logistics providers: The mediating role of innovation capability. International Journal of Physical Distribution & Logistics Management, 47 (9). pp. 864-883. ISSN 0960-0035 (doi:https://doi.org/10.1108/IJPDLM-09-2016-0271)

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Abstract

Purpose:
Drawing upon the theory of the resource-based view, the purpose of this paper is to examine the relationships among relational resources, innovation capability and firm performance in the third-party logistics (3PL) industry.

Design/methodology/approach:
Based on data collected from 203 3PL providers in China, this study adopts the approach of structural equation modeling to examine the hypothesized relationships among relational resources, innovation capability and firm performance.

Findings:
The results of this research confirm that relational resources have a positive effect on firm performance. However, the effect is not direct, but realized through the mediation of innovation capability. This study indicates that relational resources are important for 3PL providers to achieve superior performance, and innovation capability plays a mediating role between relational resources and firm performance.

Originality/value:
The main contributions of this paper to the literature are twofold. First, it extends the extant research by highlighting the mediating mechanism of innovation capability in relational resources’ influence on firm performance. Second, it advances the existing perspectives on 3PL firms in the Chinese context and this sheds light on logistics research on emerging markets.

Item Type: Article
Uncontrolled Keywords: China, Resource-based view, Third-party logistics, Innovation capability, Relational resources
Faculty / Department / Research Group: Faculty of Business
Faculty of Business > Connected Cities Research Group
Faculty of Business > Department of Systems Management & Strategy
Last Modified: 13 Feb 2019 16:25
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/22934

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