Factorial Analysis Application to Organizational Public Data for Explaining the Disclosure Of Environmental Information

被引:0
|
作者
Velandia-Pacheco, Gabriel [1 ]
Escobar-Castillo, Adalberto [1 ]
Navarro-Manotas, Evaristo [1 ]
Hernandez-Burgos, Ruben [1 ]
Barrios-Miranda, David [1 ]
Barrientos-Perez, Enoc [2 ]
Archibold-Barrios, Wendell [3 ]
Ramirez Juvinao, Luisa [3 ]
机构
[1] Univ Costa CUC, Barranquilla 08003, Colombia
[2] Corp Univ Amer, Barranquilla 08003, Colombia
[3] Univ Atlantico, Barranquilla 86040, Colombia
关键词
Informacion medioambiental; Memorias de sostenibilidad; Desarrollo sostenible; GRI;
D O I
10.1016/j.procs.2023.09.064
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The article ' s objective is to analyze the dimensions of information disclosure related to corporate environmental sustainability. For this, public data from 100 Colombian companies were used, and an indicator was applied to assess environmental information disclosure. The study applied Principal Component Analysis (PCA), measures of central tendencies, and dispersion. It was designed as longitudinal research with a quantitative approach, explanatory scope, and non-experimental. The results prove the effectiveness of the PCA applied to public data, to address problems in the disclosure of environmental information at the organizational level. In parallel, it is evident that the dimension "Water" is most relevant followed by the dimensions " Materials", " Emissions" and "Energy". These results allow us to conclude that the interested parties assign relevance in the same order they appear, which largely explains the disclosure of information related to organizational environmental sustainability.
引用
收藏
页码:456 / 461
页数:6
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