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Data Sources for Environmental Life Cycle Costing in Network Organizations

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Computational Collective Intelligence (ICCCI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11684))

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Abstract

Environmental Life Cycle Costing (ELCC) is a summary of all costs related to the product life cycle that are covered directly by one or more entities engaged in this life cycle (e.g. by the supplier, producer, user or consumer as well as all persons involved in the “end of life” phase), increased by the costs of environmental impact. Its correct implementation depends on the quality of data. In assessing the quality of the data, such characteristics as unambiguity, objectivity, timeliness, time stamping, granularity, the occurrence of duplicate data, completeness, availability, precision, interpretability, integrity, and coherence, are taken into account. Thus, the quality of data depends largely on the sources of their acquisition. Due to the extensive information scope of the ELCC, data sources located in network organizations may be relevant. Significant problems are: identifying business processes performed in network organizations and recognizing the features of network organizations in order to improve the ELCC calculations. The aim of this paper is to identify the data sources for ELCC in network organizations. The obtained results can be used, for example, to calculate ELCC automatically by means of artificial intelligence tools.

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Acknowledgment

“The project is financed by the Ministry of Science and Higher Education in Poland under the programme “Regional Initiative of Excellence” 2019–2022 project number 015/RID/2018/19 total funding amount 10 721 040,00 PLN”.

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Authors and Affiliations

  1. Wrocław University of Economics, ul. Komandorska 118/120, 53-345, Wrocław, Poland

    Michał Śnierzyński, Marcin Hernes, Andrzej Bytniewski & Małgorzata Krzywonos

  2. The Witelon State University of Applied Sciences in Legnica, ul. Sejmowa 5A, 59-220, Legnica, Poland

    Jadwiga Sobieska-Karpińska

Authors
  1. Michał Śnierzyński
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  2. Marcin Hernes
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  3. Andrzej Bytniewski
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  4. Małgorzata Krzywonos
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  5. Jadwiga Sobieska-Karpińska
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Corresponding author

Correspondence to Marcin Hernes .

Editor information

Editors and Affiliations

  1. Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. University of Pau and Pays de l'Adour, Pau, France

    Richard Chbeir

  3. University of Pau and Pays de l'Adour, Pau, France

    Ernesto Exposito

  4. University of Pau and Pays de l'Adour, Pau, France

    Philippe Aniorté

  5. Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Śnierzyński, M., Hernes, M., Bytniewski, A., Krzywonos, M., Sobieska-Karpińska, J. (2019). Data Sources for Environmental Life Cycle Costing in Network Organizations. In: Nguyen, N., Chbeir, R., Exposito, E., Aniorté, P., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2019. Lecture Notes in Computer Science(), vol 11684. Springer, Cham. https://doi.org/10.1007/978-3-030-28374-2_34

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  • DOI: https://doi.org/10.1007/978-3-030-28374-2_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-28373-5

  • Online ISBN: 978-3-030-28374-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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