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Green Supply Chain Management and Firm’s Performance: A Review

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Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020) (AICV 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1153))

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Abstract

As the world grows and develops, people become more aware of business operational processes that are extremely harmful to our environment. Recently, customers’ demands, and governmental legislations have forced domestic and global organizations to implement environmentally sustainable practices in order to cure what has been damaged in the previous decades. This study focuses on the impact of green supply chain management practices on firm’s performance. These practices are green purchasing, green packaging, green manufacturing, green design and green marketing.

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Author information

Authors and Affiliations

  1. Engineering Management and Systems Engineering Off-Campus Program, School of Engineering and Applied Science, The George Washington University, Washington, D.C., USA

    Sara Jasim & Muneer Al-Mubarak

  2. College of Business and Finance, Ahlia University, Manama, Bahrain

    Sara Jasim & Allam Hamdan

Authors
  1. Sara Jasim
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  2. Muneer Al-Mubarak
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  3. Allam Hamdan
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Corresponding author

Correspondence to Allam Hamdan .

Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Faculty of Computers and Information, Giza, Egypt

    Aboul-Ella Hassanien

  2. Faculty of Computers and Information, Benha University, Banha, Egypt

    Ahmad Taher Azar

  3. Faculty of Computers and Information, Suez Canal University, Ismailia, Egypt

    Tarek Gaber

  4. Departamento de Ciencias Computacionales, Universidad de Guadalajara, CUCEI, Guadajalara, Jalisco, Mexico

    Diego Oliva

  5. Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt

    Fahmy M. Tolba

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Jasim, S., Al-Mubarak, M., Hamdan, A. (2020). Green Supply Chain Management and Firm’s Performance: A Review. In: Hassanien, AE., Azar, A., Gaber, T., Oliva, D., Tolba, F. (eds) Proceedings of the International Conference on Artificial Intelligence and Computer Vision (AICV2020). AICV 2020. Advances in Intelligent Systems and Computing, vol 1153. Springer, Cham. https://doi.org/10.1007/978-3-030-44289-7_10

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