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Deriving Corporate Social Responsibility Patterns in the MSCI Data

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Business Information Systems (BIS 2019)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 353))

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Abstract

Empirical research effort over Corporate Social Responsibility (CSR) is typically concentrated on a limited number of aspects. We focus on the whole set of CSR activities to find out if there is a structure in those. We take data on the four major dimensions of CSR: environment, social & stakeholder, labor, and governance, from the MSCI database. To find out the structure hidden under almost constant average values, we apply a modification of K-means clustering with its complementary criterion. This method leads us to discover an impressive process of change in patterns that we predict will continue in the future.

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Author information

Authors and Affiliations

  1. Delta State University, 1003 W Sunflower Road, Cleveland, MS, 38733, USA

    Zina Taran

  2. Birkbeck University of London, Malet Street, London, WC1 7HX, UK

    Boris Mirkin

  3. National Research University Higher School of Economics, Moscow, Russian Federation

    Boris Mirkin

Authors
  1. Zina Taran
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  2. Boris Mirkin
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Corresponding author

Correspondence to Zina Taran .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznań, Poland

    Witold Abramowicz

  2. ETSI Informática, University of Seville, Seville, Spain

    Rafael Corchuelo

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Taran, Z., Mirkin, B. (2019). Deriving Corporate Social Responsibility Patterns in the MSCI Data. In: Abramowicz, W., Corchuelo, R. (eds) Business Information Systems. BIS 2019. Lecture Notes in Business Information Processing, vol 353. Springer, Cham. https://doi.org/10.1007/978-3-030-20485-3_9

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  • DOI: https://doi.org/10.1007/978-3-030-20485-3_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20484-6

  • Online ISBN: 978-3-030-20485-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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