朱镇 Recommendation networks of homogeneous products on an E-commerce platform: Measurement and competition effects

发布人:陈永佳 发布时间:2023-06-29 点击次数:

我校新葡萄8883官网amg朱镇老师在T2级别期刊——《Expert Systems With Applications》上发表题为“Recommendation networks of homogeneous products on an E-commerce platform: Measurement and competition effects”。论文第一作者朱镇为新葡萄8883官网amg教授,博士生导师

Abstract / 摘要

Extant studies have focused on the sales benefits of product recommendation networks; however, the competition effects of such networks have been overlooked. Understanding the competition effects of product recommendation networks is important within an e-commerce platform because maintaining a proper level of competition is critical to the platform ecosystems. This research adopts a data-driven approach and social network analysis, elaborating upon three structural properties of recommendation networks – centrality, connection, and scale – and operationalizes them as evenness of distribution, clustering of structure, and network size at the global-network level. The competition effects of the three proposed network variables were tested based on a daily panel dataset of 320,981 package tour products from Tuniu.com, a top travel service platform in China featuring homogeneous products. Empirical results confirmed that the three proposed structural network properties increase market competition in recommendation networks of homogeneous products. This research contributes to our understanding of the impact of recommendation networks on market competition in the context of homogeneous product markets and offers practical implications of substition recommendation for platform governance. Platform operators can leverage product recommendation networks to alleviate market competition and encourage the entry of sellers with new, innovative products that contribute to the e-commerce platform ecosystems.

论文信息;

Title/题目:

Recommendation networks of homogeneous products on an E-commerce platform: Measurement and competition effects

Authors/作者:

Zhu Zhen;Wang Shan;Wang Fei;Tu Zihang

Keywords /关键词

Recommendation networks;Global-network;Network structural properties;

Competition effects;Evenness of distribution;Clustering of structure;

Substition recommendation

Indexed by / 核心评价

SCI;EI;Scopus;WAJCI;INSPEC

DOI: 10.1016/J.ESWA.2022.117128

全文链接:

https://www.sciencedirect.com/science/article/pii/S0957417422005267?via%3Dihub