Discovering themes and trends in electricity supply chain area research

被引:0
|
作者
Sumeet Sahay
Hemant Kumar Kaushik
Shikha Singh
机构
[1] Indian Institute of Technology (ISM),Department of Electrical Engineering
[2] IIFT,Department of Operations and Supply Chain Management
[3] Indian Institute of Technology (ISM),Department of Management Studies and Industrial Engineering
来源
OPSEARCH | 2023年 / 60卷
关键词
Electricity supply chain; Research trends; Bibliometric analysis; Thematic analysis; Structure topic modelling; Text mining;
D O I
暂无
中图分类号
学科分类号
摘要
Electricity Supply Chain Management has become one of the foremost vital areas of research, as energy firms are extensively concerned about their supply chains in order to maximize profitability, reduce expenses, and gain market share. Thus, numerous research evaluations and implementation methodologies are observed in this area. However, only a few exceptional attempts have been undertaken in the past to summarize sporadic elements of knowledge obtained from these scientific endeavors. As a result, aiming to present a particular viewpoint of this topic, the paper utilizes three analyses—bibliometric analysis through Bibliomatrix R and VOSviewer, thematic analysis through Biblioshiny and text mining technique—topic modelling to give a summary of ESCM scientific investigation accomplished from 1975 to 2021. This study analyzes trends in publication, authorship patterns, and keyword usage. The study utilizes a probabilistic procreative model through structural topic modeling to decipher and extricate esoteric themes from ESCM-related research papers. According to this research, the most popular topics in the ESCM area are carbon emission, energy saving, risk and uncertainties, price regulations, smart grid, IoT, and game theory analysis. Other significant components include life cycle assessment, ICT system, static and dynamic transportation network equilibrium, and network modelling for evaluation and selection of suppliers. The article also identifies knowledge gaps that may guide future research.
引用
收藏
页码:1525 / 1560
页数:35
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