An agent-based simulation model for analyzing and optimizing omni-channel retailing operation decisions

被引：0
|
作者：
Li, Jing [1 ]
Liu, XiaoWen [2 ]
机构：
[1] Hainan Normal Univ, Sch Econ & Management, Haikou 571158, Hainan, Peoples R China
[2] Hainan Normal Univ, Sch Informat Sci & Technol, Haikou 571158, Hainan, Peoples R China
来源：
JOURNAL OF RETAILING AND CONSUMER SERVICES | 2024年 / 79卷
基金：
中国国家自然科学基金; 海南省自然科学基金;
关键词：
Retailing; Omni -channel business model; Agent -based simulation; B2C E-COMMERCE; OMNICHANNEL; OFFLINE; INTEGRATION; BEHAVIOR; IMPACT;
D O I：
10.1016/j.jretconser.2024.103845
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
With the advent of digitalization, the retail industry has undergone significant transformations, ushering in the era of omni-channel. However, most retailers struggle with stagnant omni-channel transformation due to limited decision analysis tools and quantitative research. This study utilizes case study data and Agent-Based Modeling (ABM) to compare three retail models: brick & mortar, pure-play e-tailer, and omni-channel. Through a comprehensive evaluation of enterprise, social, and consumer utilities, the omni-channel model emerges as the optimal choice. The study also offers optimization suggestions and simulation tool for the omni-channel retailers.
引用
收藏
页数：12
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