Open data;
Information retrieval;
Corporate Social Performance;
eXtensible Business Reporting Language (XBRL);
WEB;
CSR;
D O I:
10.1007/978-3-319-70284-1_21
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
During the last years, citizens and transparency initiatives put increasing pressure on governments, organizations, and companies to be more transparent and to publicize information pertaining to their operations. Although several organizations have started engaging in open data practices, data quality, structure and availability is still highly inconsistent across organizations, which makes it challenging and effort-intensive to obtain and analyze large-scale high-quality datasets. To this end, this paper examines how publicly available financial and corporate data can be leveraged to extract useful inferences regarding the financial and social performance of companies. Numerous reports have been collected from the Securities Exchange Commission (SEC) and analyzed to study hypotheses regarding the corporate practices and social responsibility of companies.
机构:
Univ Cent Chile, Fac Econ Gobierno & Comunicac, Santiago 8320000, Chile
Univ Lleida, Law & Business Adm Program, Lleida 25003, SpainUniv Cent Chile, Fac Econ Gobierno & Comunicac, Santiago 8320000, Chile
Morales-Parrague, Mario
Araya-Castillo, Luis
论文数: 0引用数: 0
h-index: 0
机构:
Univ Andres Bello, Fac Econ & Negocios, Santiago 7591538, ChileUniv Cent Chile, Fac Econ Gobierno & Comunicac, Santiago 8320000, Chile
Araya-Castillo, Luis
Molina-Luque, Fidel
论文数: 0引用数: 0
h-index: 0
机构:
Univ Lleida, Fac Educ Psicol & Trabajo Social GESEC INDEST, Lleida 25003, SpainUniv Cent Chile, Fac Econ Gobierno & Comunicac, Santiago 8320000, Chile
Molina-Luque, Fidel
Moraga-Flores, Hugo
论文数: 0引用数: 0
h-index: 0
机构:
Univ Concepcion, Dept Contabil & Auditoria, Concepcion 4070386, ChileUniv Cent Chile, Fac Econ Gobierno & Comunicac, Santiago 8320000, Chile