Exploring the Risks of International Supply Chain Financial Warehouse Receipts Pledge Model: A Structural Equation Approach

ABSTRACT

The COVID-19 pandemic had severely hit the global economy. Many enterprises have come to the critical moment of survival. The international supply chain finance, assuming a significant positive role, can alleviate an enterprise facing a financial dilemma. Due to the current turbulent environment, international supply chain finance also confronts a lot of risks. The paper aims to focus on the risk of the warehouse receipt pledge financing model, which is widely used in international supply chain finance. We propose a new risk evaluation index system for the risk of international supply chain financial warehouse receipt pledge model, using the Structural Equation Modelling. The paper explains the influencing factors of the financial warehouse receipt pledge model on the international supply chain during this pandemic. This study provides valuable insights for managers to mitigate the risks in international supply chain financial warehouse receipts pledge and offers future research opportunities to international supply chain scholars.

KEYWORDS:

• China
• supply chain finance
• structural equation model
• warehouse receipt pledge

Acknowledgments

This study is supported by the following research funds.

1. Ningbo Soft Science Project in 2022, Research on countermeasures of promoting the synchronous development of standards and R&D to promote the high-quality development of Ningbo manufacturing Industry – Research on the standards-driven Innovation R&D mechanism and the high-quality development path of Ningbo manufacturing industry (2021R028).

2. Zhejiang Soft Science Research Plan of 2021, Research on the mechanism and Path of “intelligent +” transformation and Upgrading of Zhejiang Manufacturing Industry based on data ecological advantages (2021C35029).

3. Zhejiang Wanli University College of Logistics and E-commerce Teaching reform, An innovative Research on the Teaching mode of interdisciplinary Integration based on DEA Method – Take Logistics Finance as an example.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Correction Statement

This article has been republished with minor changes. These changes do not impact the academic content of the article.

Additional information

Notes on contributors

Xiaoxin Huo

Xiaoxin Huo is a graduate student at Zhejiang Wanli University, majoring in engineering management. She obtained a bachelor’s degree from Shanxi Institute of Engineering and Technology. Her research direction is global procurement and supply chain management, more specifically, supply chain financial risk.

Sajjad M Jasimuddin

Sajjad M. Jasimuddin is Professor (Professeur senior) at the Kedge Business School, France. He has previously held faculty position at at Aberystwyth University (UK), Southampton University (UK), King Abdulaziz University (Saudi Arabia), and University of Dhaka (Bangladesh). He is visiting professor at University of Dubai and University of Renmin (IFC- Suzhou). He received BCom, MCom from Dhaka University, MPhil from Judge Business School at Cambridge University (Trinity College), and PhD from Southampton University. Sajjad has authored a text book, fifteen chapters, and 100 articles- appeared in International Business Review, Technological Forecasting & Social Change, European Journal of Operational Research, Journal of Operational Research Society, Production Planning & Control, Journal of Business & Industrial Marketing. Annals of Regional Science, Thunderbird International Business Review, and Information Systems Journal.

Kangning Zheng

Kangning Zheng is a Professor at Zhejiang Wanli University. She was a postdoctoral fellow in Applied Economics at Beijing Jiaotong University and obtained a Ph.D. in management at Harbin Institute of Technology. Her research interests include decision optimization and supply chain management. The corresponding author can be contacted at [email protected]

Zuopeng Zhang

Zuopeng Zhang is a faculty member in the Coggin College of Business at University of North Florida. He was previously an Associate Professor of Management, Information Systems, and Analytics at State University of New York at Plattsburgh. He received his Ph.D. in Business Administration with a concentration on Management Science and Information Systems from Pennsylvania State University, University Park. His research interests include economics of information systems, knowledge management, electronic business, business process management, information security, and social networking. He is the editor-in-chief of the Journal of Global Information Management, an ABET program evaluator, and an IEEE senior member. He has published articles in such journals as, in Industrial Marketing Management, Annals of Operations Research, and International Journal of Logistics: Research and Applications, Journal of Global Information Management, Technological Forecasting & Social Change, and Journal of Operational Research Society, Production Planning & Control, and Information Systems Management.