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Article
Publication date: 20 July 2021

Qiang Lu, Yang Deng, Miao Yu, Hua Song and Beini Liu

This paper examines how weak ties and strong ties in the supply chain network influence the financing performance of small and medium enterprises (SMEs) through the mediation of…

Abstract

Purpose

This paper examines how weak ties and strong ties in the supply chain network influence the financing performance of small and medium enterprises (SMEs) through the mediation of information sharing and innovation capability.

Design/methodology/approach

Questionnaires were administered to 208 financial managers responsible for supply chain finance in SMEs in China. Data analysis techniques used included multiple regression analysis and fuzzy-set qualitative comparative analysis.

Findings

The authors found that weak ties had a more substantial impact on the financing performance of SMEs than strong ties did. Information sharing and innovation capability played a mediating role between weak and strong ties and the financing performance of SMEs. In addition, information sharing and innovation capability complement each other and jointly influence the financing performance of SMEs.

Practical implications

SMEs are suggested to actively embed themselves in the supply chain network to increase financing opportunities and reduce financing costs. The authors also recommend SMEs to enhance the level of their information sharing in the supply chain network and take advantage of their network ties to access and adopt new technology from other organisations and conduct collaborative innovation with partner institutions.

Originality/value

The paper extends the authors’ understanding of supply chain finance by exploring the intrinsic mechanism of how various constructs (weak ties, strong ties, information sharing and innovation capability) in the supply chain network have an impact on the financing performance of SMEs. In particular, the authors explore the under-researched mediating effect of information sharing and innovation capability on the relationship between network ties and the financing performance of SMEs.

Article
Publication date: 15 November 2022

Qiang Lu, Yang Deng, Beini Liu and Jinliang Chen

As an effective mode to help small and medium enterprises (SMEs) raise working capital, supply chain finance has recently gained extensive attention. The purpose of this paper is…

Abstract

Purpose

As an effective mode to help small and medium enterprises (SMEs) raise working capital, supply chain finance has recently gained extensive attention. The purpose of this paper is to explore the intrinsic mechanism of how both weak and strong ties in the supply chain network impact the supply chain financing performance (SCFP) of SMEs from the perspective of the supply chain network.

Design/methodology/approach

Based on the extended resource-based perspective, this paper proposes a theoretical model to explain the mode in which strong ties and weak ties of SMEs in the supply chain network influence SCFP through both physical distribution flexibility and demand management flexibility. Based on data from 182 manufacturing firms in China, this paper uses multiple regression analysis to test hypotheses.

Findings

The results of this paper indicate that weak ties improve SCFP more effectively than strong ties. Furthermore, both physical distribution flexibility and demand management flexibility exert different mediating roles either between strong ties and SCFP or between weak ties and SCFP. Moreover, the effect of physical distribution flexibility and demand management flexibility on SCFP of SMEs is not reinforced.

Originality/value

This paper highlights the importance to expand supply chain finance research from the perspective of the supply chain network. In particular, this paper explores the poorly understood mediating effect both physical distribution flexibility and demand management flexibility exert on the relationship between network ties and the SCFP of SMEs.

Details

Journal of Business & Industrial Marketing, vol. 38 no. 9
Type: Research Article
ISSN: 0885-8624

Keywords

Article
Publication date: 21 February 2020

Qiang Lu, Beini Liu and Hua Song

This paper aims to explore how innovation capability and market response capability of small and medium-size enterprises (SMEs) affect their supply chain financing performance…

1577

Abstract

Purpose

This paper aims to explore how innovation capability and market response capability of small and medium-size enterprises (SMEs) affect their supply chain financing performance (SCFP) through supply chain financing solutions (SCFS) adoption. At the same time, the mechanism by which supply chain financing reduces information asymmetry before (ex-ante) and after (ex-post) SCFS adoption to promote SCFP is also inquired.

Design/methodology/approach

Drawing on enterprise competence theory, this paper proposes a theoretical model and tests it using survey data from a sample of 218 SMEs in China. Multiple regression analysis is employed to test the hypothesis.

Findings

The study finds that: (1) SMEs' innovation capability and market response capability positively affect SCFP. (2) SMEs' innovation capability and market response capability exert significantly positive effects on SCFS adoption. (3) SCFS adoption plays a mediating role between SME capabilities and SCFP. (4) Supply chain integration (SCI) and information technology application have no moderating effects on the relationship between SME capabilities and SCFS adoption. Finally, (5) SCI and information technology application have positive moderating effects on the relationship between SCFS adoption and SCFP.

Originality/value

Based on enterprise competence theory, this study sheds light on the internal mechanism through which SMEs' capabilities affect SCFP by introducing SCFS adoption and explores the role of situational factors in SCF in reducing ex-ante and ex-post information asymmetry. This study provides an innovative theoretical perspective on supply chain financing and enriches the existing research.

Details

Industrial Management & Data Systems, vol. 120 no. 4
Type: Research Article
ISSN: 0263-5577

Keywords

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