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Large-Scale Open Corporate Data Collection and Analysis as an Enabler of Corporate Social Responsibility Research

机译:大型开放企业数据收集和分析作为企业社会责任研究的推动者

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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.
机译:在过去几年中,公民和透明度倡议对各国政府,组织和公司越来越迫切透明,并宣传与其业务有关的信息。虽然若干组织已经开始参与开放的数据实践,但跨组织的数据质量,结构和可用性仍然非常不一致,这使得获得和分析大型高质量数据集的挑战性和努力。为此,本文审查了如何利用公开的财务和企业数据,以提取有关公司的财务和社会绩效的有用推论。已从证券交易所委员会(SEC)收集了许多报告,并分析了研究假设关于公司的企业实践和社会责任。

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