带有促销计划的电子市场库存模式

IF 1.8 Q3 MANAGEMENT Journal of Modelling in Management Pub Date : 2023-11-20 DOI:10.1108/jm2-01-2023-0011
Md Rakibul Hasan, Yosef Daryanto, Chefi Triki, Adel Elomri
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引用次数: 0

摘要

目的快速发展的电子商务行业以其特有的特点对供应链优化和库存管理提出了新的挑战。本研究旨在探讨电子市场官方商店在企业对客户系统中,当使用返现促销来吸引更多客户时,与库存相关的优化。提出了一种新的库存模型,通过优化返现金额和交货期实现电子商务利润最大化。设计/方法/方法提出的模型假设客户需求是价格和交货时间的函数,价格受现金返还金额的影响。电子商务运营商与便利支付的电子支付公司签订了利润分享合同。电子商务还在与供应商的成本分担合同下建立合作,以确保产品交付。建立了数学模型,并对相关理论进行了研究。数值算例说明了模型的有效性,并进行了灵敏度分析,给出了有用的见解。引入了一个新的电子市场系统库存模型,该模型显示了现金返还促销对电子商务业务的影响。研究表明,管理者可以通过优化现金返还金额及其交付时间来获得最大的利润。在某些情况下,经理可能会设定较高的现金返还金额(例如100%)来吸引客户下更多的订单。原创性/价值本研究为当今快速增长的电子商务业务提供了一个新的库存模型;因此,研究结果有助于理解促销计划实践和库存管理,并为制定有效的电子商务管理决策提供见解。图形抽象
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An inventory model of e-marketplace with a promotional program

Purpose

The rapidly growing e-commerce industry with its special characteristics brings new challenges to the optimization of the supply chain and inventory management. This study aims to investigate the inventory-related optimization of an e-marketplace official store that works on a business-to-customer system when cashback promotion is used to attract more customers. Also, it proposes a new inventory model to maximize the e-commerce profit by optimizing the cashback amount and delivery period.

Design/methodology/approach

The proposed model assumes that customer demand is a function of price and delivery time and that price is affected by the cashback amount. The e-commerce operator has a profit-sharing contract with an e-payment company that facilitates the payment. E-commerce also builds collaboration under a cost-sharing contract with a supplier to ensure product delivery. A mathematical model is developed and the related theories are investigated. A numerical example illustrates the validity of the model and a sensitivity analysis is carried out to give useful insights.

Findings

A new inventory model for an e-market system has been introduced which shows the impact of a cashback promotion on the e-commerce business. This study shows that managers can optimize the cashback amount and its delivery time to get the maximum profit. In certain cases, the manager may set a high cashback amount (e.g. 100%) to attract customers to place more orders.

Originality/value

This study presents a new inventory model for today’s fast-growing e-commerce business; therefore, the results contribute to the understanding of promotion program practices and inventory management and provide insights to develop efficient e-commerce managerial decisions.

Graphical abstract

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来源期刊
CiteScore
5.50
自引率
12.50%
发文量
52
期刊介绍: Journal of Modelling in Management (JM2) provides a forum for academics and researchers with a strong interest in business and management modelling. The journal analyses the conceptual antecedents and theoretical underpinnings leading to research modelling processes which derive useful consequences in terms of management science, business and management implementation and applications. JM2 is focused on the utilization of management data, which is amenable to research modelling processes, and welcomes academic papers that not only encompass the whole research process (from conceptualization to managerial implications) but also make explicit the individual links between ''antecedents and modelling'' (how to tackle certain problems) and ''modelling and consequences'' (how to apply the models and draw appropriate conclusions). The journal is particularly interested in innovative methodological and statistical modelling processes and those models that result in clear and justified managerial decisions. JM2 specifically promotes and supports research writing, that engages in an academically rigorous manner, in areas related to research modelling such as: A priori theorizing conceptual models, Artificial intelligence, machine learning, Association rule mining, clustering, feature selection, Business analytics: Descriptive, Predictive, and Prescriptive Analytics, Causal analytics: structural equation modeling, partial least squares modeling, Computable general equilibrium models, Computer-based models, Data mining, data analytics with big data, Decision support systems and business intelligence, Econometric models, Fuzzy logic modeling, Generalized linear models, Multi-attribute decision-making models, Non-linear models, Optimization, Simulation models, Statistical decision models, Statistical inference making and probabilistic modeling, Text mining, web mining, and visual analytics, Uncertainty-based reasoning models.
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