社交网络分析能否有助于供应链管理? 一个系统的文献综述和文献识别分析
Hesham Fouad1,2, Nazaré Rego3
1Arab Academy for Science, Technology and Maritime Transport, Aswan, Egypt.
Heliyon
|March 5, 2024
概括
本研究回顾了社会网络分析 (SNA) 在供应链管理 (SCM) 研究中如何使用. 它强调了网络结构和指标,为战略供应网络设计提供了见解.
科学领域:
- 供应链管理 供应链管理
- 社交网络分析 社交网络分析
- 运营研究 运营研究
背景情况:
- 社会网络分析 (SNA) 为了解供应网络中的结构性质和相互连接提供了一个强大的框架.
- 供应链管理 (SCM) 的现有研究越来越多地利用SNA来分析网络配置和成员关系.
研究的目的:
- 在SCM研究中对SNA的应用进行系统的审查和文献分析.
- 在SCM研究中识别常用的网络结构性质和指标.
- 发现研究缺口,并建议未来的研究方向在SCM的SNA.
主要方法:
- 一个由两部分组成的方法,结合了系统文献审查和文献计量分析.
- 分析了2008年至2023年间在62个期刊上发表的113篇文章.
- 对SNA技术的专题分析和报告的结构指标 (节点级和网络级).
主要成果:
- SCM研究人员使用SNA来检查网络配置,中心性措施,子组和结构形成模型.
- 文献数据的定量分析和可视化为SNA应用趋势提供了洞察力.
- 在SCM网络研究中使用的关键结构特性和指标的识别.
结论:
- 该研究提供了SNA在SCM研究中的作用的全面概述,详细介绍了其在分析供应网络结构中的应用.
- 这些发现有助于更好地理解关系配置在供应网络中的重要性.
- 这项研究为战略供应网络设计提供了宝贵的见解,特别是在最近的全球性破坏的情况下.
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