To read this content please select one of the options below:

Relationships between intra-organizational resources, supply chain integration and business performance : An extended resource-based view

Dehui Xu (School of Management, Xi’an Jiaotong University, Xi’an, China)
Baofeng Huo (School of Management, Zhejiang University, Hangzhou, China)
Linyan Sun (School of Management, Xi’an Jiaotong University, Xi’an, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 2 September 2014

3967

Abstract

Purpose

The purpose of this paper is to explore the effects of intra-organizational resources, including top management support (TMS) and information technology (IT), on inter-organizational capabilities including supply chain integration (SCI, with a focus on supplier integration (SI) and customer integration (CI)) and on business performance via a resource-based view (RBV), socio-technical systems theory and an extended resource-based view (ERBV).

Design/methodology/approach

Partial least squares is used to analyze a sample of 176 manufacturers in China.

Findings

TMS and IT are two vital enablers of SCI and have different roles in improving SCI. In addition, SI has a significant effect on business performance, and CI has a marginally significant effect.

Originality/value

Based on the RBV/ERBV, this study explores the enablers of SCI and their effects on business performance, ultimately contributing to both SCI theories and practices.

Keywords

Acknowledgements

This research was supported by National Natural Science Foundation of China (No. 71372058), Zhejiang Provincial Natural Science Foundation of China (No. LR13G020001), China National Science and Technology Infrastructure Program (No. 2012BAH08F06), and Program for Zhijiang Young Scholar of Social Sciences of Zhejiang Province (No. 13ZJQN032YB).

Citation

Xu, D., Huo, B. and Sun, L. (2014), "Relationships between intra-organizational resources, supply chain integration and business performance : An extended resource-based view", Industrial Management & Data Systems, Vol. 114 No. 8, pp. 1186-1206. https://doi.org/10.1108/IMDS-05-2014-0156

Publisher

:

Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

Related articles