Evidence map›Paper›PMID 33265778›Full record

ArticleEntropy (Basel, Switzerland)2018

Evaluation of Sustainability Information Disclosure Based on Entropy.

Ming Li, Jialin Wang, Ying Li, Yingcheng Xu

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ming LiSchool of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China.
Jialin WangSchool of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China.
Ying LiSchool of Business Administration, China University of Petroleum-Beijing, Beijing 102249, China.
Yingcheng XuChina National Institute of Standardization, Beijing 100191, China.

Funding

Humanity and Social Science Youth Foundation of Ministry of Education in China 15YJCZH081,13YJC790112National Natural Science Foundation of China 71571191, 91646122Science Foundation of China University of Petroleum, Beijing 2462015YQ0722
6 · The paper itself

Abstract

Disclosure of sustainability information is important for stockholders and governments. In order to evaluate the quality of sustainability information disclosure in heavily polluting industries, the quality of the disclosure is proposed to be evaluated from completeness, adequacy, relevance, reliability, normativeness and clarity aspects. The corresponding evaluation indicator system is constructed. Due to the ambiguity and complexity of the evaluation information, the intuitionistic fuzzy sets are applied to model the linguistic ratings. Entropy is used to derive the weight of experts, the object weight and the subject weight of the indicators. which are integrated when dealing with the evaluation information. The quality of sustainability information disclosure of seven representative companies in heavily polluting industries is evaluated. The importance of indicators and ranking of the companies are derived. Based on the evaluation results, the discussion and suggestions are also provided.

Indexed as

entropyentropy weightintuitionistic fuzzy setssustainability information disclosure

Identifiers

PMID33265778
PMCPMC7513212

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.