Work

Analyzing Traceability Models in E-Commerce Logistics: A Multi- Channel Approach

Year: 2023

Type: article

Abstract: This investigation explores the dynamics of logistics information traceability within the realm of ecommerce, emphasizing the simultaneous existence of diverse sales channels in the digital landscape.It adopts Stackelberg game theory to dissect multi-channel pricing strategies, underscoring the significance of consumer preferences pertaining to logistics information traceability and pricing structures.The study meticulously constructs a supply chain framework, predominantly supplier-driven, integrating both platform-based retail and direct sales channels.This framework serves as the basis for examining fluctuations in retail pricing and the aggregate profit margins under varying decision-making scenarios.It is revealed that platforms operating independently and opting for third-party logistics services for information traceability tend to achieve elevated traceability levels.In contrast, direct sales models managed by suppliers and utilizing e-commerce platform logistics services are associated with enhanced traceability.These insights contribute to a nuanced understanding of the strategic choices in e-commerce logistics, especially in the context of information traceability.This study's findings have broad implications for designing efficient logistics systems in the e-commerce sector, catering to the evolving demands of the digital economy.

Source: Journal of Industrial Intelligence

DOI: 10.56578/jii010402

Authors: Fan Jiang, Shaoqing Tian, Siniša Sremac, Eldina Huskanović

Institutions: Hainan University, University of Novi Sad, University of East Sarajevo

Language: English

Topic: Supply Chain and Inventory Management

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Funder: Hainan University