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Supply chain network, information sharing and SME credit quality

Hua Song (School of Business, Renmin University of China, Beijing, China)
Kangkang Yu (School of Agricultural Economics and Rural Development, Renmin University of China, Beijing, China)
Anirban Ganguly (Jindal Global Business School, Jindal Global University, Haryana, India)
Rabia Turson (School of Business Administration, Xinjiang University of Finance & Economics, Urumqi, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 9 May 2016

3118

Abstract

Purpose

The purpose of this paper is to examine the effect of small and medium enterprises (SMEs)’ supply chain network on influencing credit quality, or more specifically, whether bridging tie (structural network) or strong tie (relational network) of SMEs in the supply chain can improve the availability of equity and debt capital through information sharing.

Design/methodology/approach

A survey was conducted in manufacturing industry in China and 208 valid questionnaires were used to test all the hypotheses. The data were then analyzed by employing partial least squares path modeling.

Findings

The results suggest that both strong tie and bridging tie of SMEs can lead to a positive effect on information sharing in supply chain, which can further enhance the credit quality for SMEs. However, without information sharing, the strong tie has not significant influence on SMEs’ credit quality, while bridging tie can directly impact on credit quality.

Originality/value

Despite their crucial role in sustaining national economies, SMEs are beset by the critical constraint of risk-free financing. Based on a survey, this research finds that the credit quality of SMEs is affected by two important factors: one concerns information sharing in supply chain and the other relates to the attributes of SMEs’ supply chain network. This study implies that a SME may have a financing advantage for better embedding in the supply chain network, but different effects will be experienced according to constraints associated with information asymmetry in the supply chain.

Keywords

Acknowledgements

The research underlying this paper was presented at the 9th International Conference of Operations and Supply Chain Management, Ningbo, China, 12-15 July, 2015, and was also supported in part by the National Natural Science Foundation of China (No. 71272155; 71232011; 71302159) and the Research Funds of Renmin University of China (10XNK088; 11XNI002).

Citation

Song, H., Yu, K., Ganguly, A. and Turson, R. (2016), "Supply chain network, information sharing and SME credit quality", Industrial Management & Data Systems, Vol. 116 No. 4, pp. 740-758. https://doi.org/10.1108/IMDS-09-2015-0375

Publisher

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Emerald Group Publishing Limited

Copyright © 2016, Emerald Group Publishing Limited

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