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A bibliometric analysis of pricing models in supply chain
Journal of Revenue and Pricing Management ( IF 1.1 ) Pub Date : 2021-06-11 , DOI: 10.1057/s41272-021-00329-8
Syed Asif Raza

Supply Chain and distribution management has gained prominence in a global economy. The pricing decisions are widely seen at the heart of a supply chain with an augmented growth of interest. This paper presents a systematic literature review of pricing models in supply chain focusing on quantitative models. Using contemporary bibliometric analysis tools, we have systematically analyzed over 639 peer-reviewed articles from leading journals. An exploratory analysis of the articles is presented to uncover the fundamental features such as: influential authors, productive countries, publication growth, yearly publication growth, among others. A visualization of these articles is performed using a network analysis. Two co-citation network analyses are performed to reveal the clusters (topics) based on modularity and centrality performance measures. Later, this analysis is supported with the dynamic co-citation analysis to elaborate the evolution of the research clusters over time. A keyword co-occurrence network is also presented to determine the emerging trends. A cluster-based content analysis is conducted on to find out the significance of the current themes and emerging trends along with the influential groups. Findings from the proposed systematic analysis aid illustrating how research has evolved over time and point to the potential future themes.



中文翻译:

供应链定价模型的文献计量分析

供应链和分销管理在全球经济中越来越突出。定价决策被广泛视为供应链的核心,其兴趣日益增长。本文对供应链中的定价模型进行了系统的文献综述,重点是定量模型。使用当代文献计量分析工具,我们系统地分析了超过 639 篇来自领先期刊的同行评审文章。对文章进行了探索性分析,以揭示基本特征,例如:有影响力的作者、多产国家、出版物增长、年度出版物增长等。这些文章的可视化是使用网络分析进行的。执行两个共被引网络分析以基于模块化和中心性性能度量来揭示集群(主题)。后来,这种分析得到了动态共引分析的支持,以阐述研究集群随时间的演变。还提出了关键字共现网络来确定新兴趋势。进行基于集群的内容分析,以找出当前主题和新兴趋势以及有影响力的群体的重要性。拟议系统分析的结果有助于说明研究如何随着时间的推移而发展,并指出未来的潜在主题。进行基于集群的内容分析,以找出当前主题和新兴趋势以及有影响力的群体的重要性。拟议系统分析的结果有助于说明研究如何随着时间的推移而发展,并指出未来的潜在主题。进行基于集群的内容分析,以找出当前主题和新兴趋势以及有影响力的群体的重要性。拟议系统分析的结果有助于说明研究如何随着时间的推移而发展,并指出未来的潜在主题。

更新日期:2021-06-11
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