The Effect of Blockchain Technology on Supply Chain Collaboration: A Case Study of Lenovo

Author:

Xia Jianting1,Li Haohua1ORCID,He Zhou234ORCID

Affiliation:

1. School of Management and Engineering, Nanjing University, Nanjing 210093, China

2. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190, China

3. Key Laboratory of Big Data Mining and Knowledge Management, Chinese Academy of Sciences, Beijing 100190, China

4. MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation, University of Chinese Academy of Sciences, Beijing 100190, China

Abstract

Blockchain technology, as a revolutionary technology that has emerged in recent years, holds significant potential for application in supply chain operations. This paper provides a systematic review of blockchain-based supply chain case studies. The existing literature primarily focuses on the food, agriculture, and pharmaceutical sectors, highlighting the advantages of blockchain technology in terms of traceability and transparency. However, there is a limited number of studies addressing the improvement of collaboration efficiency in supply chains, particularly within the realm of information technology enterprises. By conducting semi-structured interviews, we present a case study of Lenovo, a leading enterprise utilizing blockchain technology, to elucidate the advantages of using blockchain technology. Subsequently, it proposes a conceptual model for a blockchain-based information collaboration system and discusses the potential applications of blockchain technology in supply chain collaboration. Our study contributes to the existing work on blockchain applications to enhance supply chain collaboration.

Funder

the National Natural Science Foundation of China

the Social Science Foundation of Jiangsu Province

the Excellent Project in Social Science Applied Research of Jiangsu Province

the Fundamental Research Funds for the Central Universities

the Youth Innovation Promotion Association CAS

the MOE Social Science Laboratory of Digital Economic Forecasts and Policy Simulation at UCAS

the Weiqiao Guoke Joint Laboratory at UCAS

Publisher

MDPI AG

Subject

Information Systems and Management,Computer Networks and Communications,Modeling and Simulation,Control and Systems Engineering,Software

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