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Collaborative SCM System for Sustainability in the Manufacturing Supply Chain

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Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2019)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 850))

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Abstract

Expansion of the global commercial environment is providing new opportunities and generating crisis for firms at the same time. In the modern dynamic management environment, with rapid changes in technology and diversity of customer needs, firms are facing more difficulties in securing a competitive advantage. Especially for small and medium-sized firms with insufficient resources and competence, it is more difficult to survive and grow due to low competitiveness. Today, small and medium manufacturing firms are required to establish collaborative and mutually beneficial relationships with partner firms in the supply chain to enable them respond quickly to dynamic market changes and gain a competitive advantage in the intensifying global competition. Firms need to overcome the new challenges by creating corporate values and improving performance through collaborative supply chain management (SCM). Therefore, this study has defined the success of export-based small and medium manufacturing firms as export performance, and verified the effects of the collaborative SCM activities of firms and the establishment of the supply chain on the supply chain performance and export performance. The purpose of this study is to identify the importance of collaborative SCM activities to enhance the competitiveness of export-based small and medium manufacturing firms and to suggest strategic directions of SCM.

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Authors and Affiliations

  1. Department of Business Administration, Soongsil University, Seoul, South Korea

    Donghyuk Jo

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  1. Donghyuk Jo
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Correspondence to Donghyuk Jo .

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  1. Software Engineering and Information Technology Institute, Central Michigan University, Mt. Pleasant, MI, USA

    Roger Lee

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Jo, D. (2020). Collaborative SCM System for Sustainability in the Manufacturing Supply Chain. In: Lee, R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. SNPD 2019. Studies in Computational Intelligence, vol 850. Springer, Cham. https://doi.org/10.1007/978-3-030-26428-4_14

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