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

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10673))

Abstract

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.

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Notes

  1. 1.

    XBRL (https://www.xbrl.org/) is a global standard for business reporting that allows the digitization of financial statements.

  2. 2.

    http://wikirate.org/.

  3. 3.

    A 10-K is a comprehensive summary report of a company’s performance that must be submitted annually to the SEC.

  4. 4.

    Newsweek, an American news magazine, publishes yearly rankings for the 500 largest publicly-traded US companies based on their overall environmental performance. For 2016, those are available on http://www.newsweek.com/green-2016.

  5. 5.

    https://www.sec.gov/edgar/searchedgar/cik.htm.

  6. 6.

    The Document Object Model (DOM) is a programming interface for HTML and XML documents.

  7. 7.

    http://jsoup.org/.

  8. 8.

    http://easie.iti.gr/sec_dataset/companies.

  9. 9.

    http://easie.iti.gr/sec_dataset/metrics.

  10. 10.

    https://blogs.wsj.com/cfo/2015/04/24/companies-leaving-trillions-in-cash-overseas/.

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Acknowledgements

This work has been supported by the WikiRate and ChainReact projects, partially funded by the European Commission under contract numbers FP7-609897 and H2020-687967 respectively.

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Correspondence to Vasiliki Gkatziaki .

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Gkatziaki, V., Papadopoulos, S., Diplaris, S., Kompatsiaris, I. (2017). Large-Scale Open Corporate Data Collection and Analysis as an Enabler of Corporate Social Responsibility Research. In: Kompatsiaris, I., et al. Internet Science. INSCI 2017. Lecture Notes in Computer Science(), vol 10673. Springer, Cham. https://doi.org/10.1007/978-3-319-70284-1_21

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  • DOI: https://doi.org/10.1007/978-3-319-70284-1_21

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