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Analyses of Aspects of Knowledge Diffusion Based on the Example of the Green Supply Chain

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Intelligent Information and Database Systems (ACIIDS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10191))

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Abstract

The diffusion of knowledge in the area of green supply chain (GSC) is connected with the outcomes obtained as a result. This article concentrates on the issues of knowledge diffusion and is based on own research of manufacturing companies on the example of the GSC. As a result of the research, it was established that exchanging knowledge between a supplier and a manufacturer has a higher measurement than between a manufacturer and a receiver, while, generally speaking, a low level of knowledge exchange is observed within the area of GSC. Companies need a wider access to sources of knowledge in the field of GSC and need the development of the culture of measurement of the executed undertakings. The knowledge diffusion in the area of GSC is connected with outcomes obtained as a result.

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Notes

  1. 1.

    Owing to the volume of this article we resigned from a detailed presentation of data.

  2. 2.

    Statistical inference will be applied with a view to analyzing the data in a more in-depth manner. Especially data mining and machine learning methods.

  3. 3.

    This research was conducted among 103 Polish manufacturing companies. The research was conducted on the basis of a questionnaire.

  4. 4.

    Transferring announcement/ reports connected with GSCM concerns non-formalized information (placed on the company websites in various documents), as well as formalized information (preparing reports based on the Global Reporting Initiative guidelines, ISO 26000, International Integrated Reporting Council reports and all other type reports about the influence on environment, both voluntary and required by the law as well).

  5. 5.

    Level of diffusion in this study is measured by the condition of reporting and acquiring information from the outside. However, it is important to highlight that in the future matrices allowing for different measures can be successfully applied.

  6. 6.

    Every answer in the questionnaire could adopt the following value: 1- undoubtedly yes, 2 – yes, 3 difficult to say, 4 no, 5 absolutely no. In case when the companies answered 1 or 2, it was assumed that the effect of implementing GSCM included in the question was achieved. The results presented in Table 1 were rescaled to match the count of the group.

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Authors and Affiliations

  1. Poznań University of Economics and Business, Al. Niepodległości 109, 61-875, Poznań, Poland

    Anna Maryniak

  2. University of Silesia, Będzińska 39, 41-205, Sosnowiec, Poland

    Łukasz Strąk

Authors
  1. Anna Maryniak
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  2. Łukasz Strąk
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Correspondence to Łukasz Strąk .

Editor information

Editors and Affiliations

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

    Ngoc Thanh Nguyen

  2. Japan Advanced Institute of Science and Technology , Nomi, Japan

    Satoshi Tojo

  3. Japan Advanced Institute of Science and Technology , Nomi, Japan

    Le Minh Nguyen

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

    Bogdan Trawiński

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Maryniak, A., Strąk, Ł. (2017). Analyses of Aspects of Knowledge Diffusion Based on the Example of the Green Supply Chain. In: Nguyen, N., Tojo, S., Nguyen, L., Trawiński, B. (eds) Intelligent Information and Database Systems. ACIIDS 2017. Lecture Notes in Computer Science(), vol 10191. Springer, Cham. https://doi.org/10.1007/978-3-319-54472-4_32

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  • DOI: https://doi.org/10.1007/978-3-319-54472-4_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-54471-7

  • Online ISBN: 978-3-319-54472-4

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