考虑数据资源挖掘的线上线下双渠道供应链定价决策

IF 6.7 2区 管理学 Q1 MANAGEMENT Omega-international Journal of Management Science Pub Date : 2024-02-17 DOI:10.1016/j.omega.2024.103050
Zaoli Yang , Wen-Long Shang , Lin Miao , Shivam Gupta , Zhengli Wang
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引用次数: 0

摘要

数据资源是数字经济的基本组成部分,对于旨在建立持久竞争优势的企业来说,数据资源发挥着至关重要的作用。公司的数据资源可以独特地影响供应链中有关产品和服务的决策。集成的双渠道供应链(DCSC)包括制造服务提供商利用的直接在线渠道和销售服务集成商管理的实体零售店等离线渠道。DCSC 能够在产品销售完成后,根据已售产品和客户服务提供第二阶段数据挖掘服务。随后,可通过跨渠道方法实现数据资源挖掘。因此,考虑到对跨渠道数据资源的挖掘,本研究致力于制定双渠道闭环供应链的结构。此外,本研究还利用斯塔克尔伯格博弈论和纳什均衡博弈论的概念,深入分析了定价决策和利润分配。该研究涵盖了不同的闭环供应链配置,并从集中和分散决策方法的角度进行了分析。此外,还分析了跨渠道数据挖掘和渠道消费偏好对供应链决策的影响,并结合数字实例进行了分析。调查结果表明,跨渠道数据资源挖掘、消费者渠道偏好和数据挖掘价值转化率会对闭环供应链中定价策略的制定和利润分配产生突出影响。数据资源的潜在价值会导致数据资源挖掘策略产生 "外部激励"。此外,数据资源挖掘战略在刺激产品和服务市场增长方面大有可为。最后,随着数据资源转换效率的提高,供应链的整体利润也会增加。数据资源转换效率的提高会相应地提高供应链的整体利润。
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Pricing decisions of online and offline dual-channel supply chains considering data resource mining

Data resources, a fundamental component in the digital economy, play a vital role for businesses aiming to establish a lasting competitive edge. A company's data resources can uniquely influence the decisions surrounding products and services within the supply chain. The integrated dual-channel supply chain (DCSC) involves direct online channels utilized by manufacturing service providers alongside offline channels, such as physical retail stores, managed by sales service integrators. The DCSC is capable of performing second-stage data mining services in accordance with the sold products and customer services after the product sales are completed. Subsequently, data resource mining can be achieved through a cross-channel approach. As such, considering the exploration of cross-channel data resources, this study strives to formulate a structure for a dual-channel closed-loop supply chain. Furthermore, utilizing concepts from the Stackelberg and Nash equilibrium game theories, it delves into the analysis of pricing decisions and profit allocation. This examination encompasses distinct closed-loop supply chain configurations, viewed through the lenses of both centralized and decentralized decision-making approaches. In addition, the effects of cross-channel data mining and channel consumption preferences on supply chain decisions are analyzed, and the analysis is conducted in combination with numerical examples. As evidenced by the findings in this investigation, cross-channel data resource mining, consumer channel preference, and the data mining value conversion rate can prominently affect the formulation of pricing strategies and the distribution of profits in closed-loop supply chains. The potential value of data resources can lead to the generation of “external incentives” following the strategy of data resource mining. Furthermore, the data resource mining strategy is promising in stimulating the growth of the product and service markets. Finally, the overall profit of the supply chain is increased with the increase in the efficiency of data resource conversion. Enhancements in the efficacy of data resource conversion correspondingly lead to heightened overall profits within the supply chain.

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来源期刊
Omega-international Journal of Management Science
Omega-international Journal of Management Science 管理科学-运筹学与管理科学
CiteScore
13.80
自引率
11.60%
发文量
130
审稿时长
56 days
期刊介绍: Omega reports on developments in management, including the latest research results and applications. Original contributions and review articles describe the state of the art in specific fields or functions of management, while there are shorter critical assessments of particular management techniques. Other features of the journal are the "Memoranda" section for short communications and "Feedback", a correspondence column. Omega is both stimulating reading and an important source for practising managers, specialists in management services, operational research workers and management scientists, management consultants, academics, students and research personnel throughout the world. The material published is of high quality and relevance, written in a manner which makes it accessible to all of this wide-ranging readership. Preference will be given to papers with implications to the practice of management. Submissions of purely theoretical papers are discouraged. The review of material for publication in the journal reflects this aim.
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