已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

A sustainable development benchmarking framework for energy companies based on topic mining and knowledge graph: The case of oil and gas industry

标杆管理 水准点(测量) 可持续发展 过程管理 业务 可视化 知识管理 工程类 管理科学 计算机科学 营销 数据挖掘 政治学 地理 大地测量学 法学
作者
Xiaofeng Xu,Zhiting Liu,Wenzhi Liu,Chuantao Pei,Xiangfan Wu,Zhengya Nie
出处
期刊:Renewable & Sustainable Energy Reviews [Elsevier]
卷期号:196: 114350-114350 被引量:3
标识
DOI:10.1016/j.rser.2024.114350
摘要

Benchmarking is one of the key management approaches to support companies to continuously improve and gain competitive advantage. However, previous benchmarking management suffered from subjectivity and one-sidedness, and the benchmarking evaluation was only to identify the benchmark and its own deficiencies, with a high degree of independence between the sub-processes. The framework is the first to jointly apply topic mining and relation extraction techniques to establish an objective index system and mine the mechanistic relations among the indexes, and finally provides a concise and interactive display of the results based on knowledge graph visualization. In this study, 50 oil and gas companies are taken as examples to carry out the case study of sustainable development benchmarking management, and a sustainable development program with strong logic and systematicity is proposed at both macro and micro levels. This study results verify that the framework can effectively improve the scientific, comprehensive and systematic nature of sustainable development benchmarking management. At the same time, the framework extends the role of the index system so that it can provide the necessary mechanistic guidance for subsequent sustainable development programmatic to achieve programmatic with a high degree of synergy. In addition, the framework has a high degree of coherence with the United Nations Sustainable Development Goals (SDGs), and the proposals put forward can not only be used to improve the sustainable development capability of companies themselves, but also contribute to the realization of the SDGs.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
研友_ndDGVn完成签到 ,获得积分10
刚刚
2秒前
彭于晏应助cnspower采纳,获得30
4秒前
lili发布了新的文献求助10
5秒前
Dr_Stars完成签到,获得积分10
6秒前
6秒前
6秒前
8秒前
殇春秋发布了新的文献求助10
9秒前
健忘泽洋发布了新的文献求助10
9秒前
Menand完成签到,获得积分10
9秒前
mt发布了新的文献求助30
10秒前
默默冬瓜完成签到,获得积分10
11秒前
lankeren发布了新的文献求助10
11秒前
草拟大坝完成签到 ,获得积分0
13秒前
屠夫9441完成签到 ,获得积分10
14秒前
懒羊羊大王完成签到 ,获得积分10
14秒前
14秒前
16秒前
19秒前
ren发布了新的文献求助10
19秒前
dara997完成签到,获得积分10
19秒前
殇春秋完成签到,获得积分10
19秒前
20秒前
科小白发布了新的文献求助100
20秒前
21秒前
科研王完成签到 ,获得积分10
22秒前
爆爆发布了新的文献求助10
28秒前
马良完成签到,获得积分10
29秒前
30秒前
深情安青应助甜蜜的水壶采纳,获得10
30秒前
Eternitymaria完成签到,获得积分10
32秒前
32秒前
我是老大应助悠悠采纳,获得10
33秒前
lili完成签到,获得积分20
34秒前
66发布了新的文献求助10
35秒前
38秒前
占忆霜发布了新的文献求助10
38秒前
sunny完成签到 ,获得积分10
38秒前
38秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 800
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3555546
求助须知:如何正确求助?哪些是违规求助? 3131279
关于积分的说明 9390339
捐赠科研通 2830883
什么是DOI,文献DOI怎么找? 1556168
邀请新用户注册赠送积分活动 726475
科研通“疑难数据库(出版商)”最低求助积分说明 715803