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A Virtual Supply Chain System for Improved Information Sharing and Decision Making

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  • Mohammad Daneshvar Kakhki

    (Department of Information Systems and Supply Chain Management, University of North Carolina at Greensboro, Greensboro, NC, USA)

  • Hamid Nemati

    (Department of Information Systems and Supply Chain Management, University of North Carolina at Greensboro, Greensboro, NC, USA)

  • Farhad Hassanzadeh

    (XPO Logistics, High Point, NC, USA)

Abstract

Integrated supply chain information systems (ISCIS) face various barriers including lack of alignment between IT and business model, security and privacy concerns, behavioral and cultural issues, and heterogeneous software applications. This paper develops an architecture for ISCIS and validate it by interviewing experts. The proposed architecture is an intermediary to integrate in-house information systems as well as cloud-based systems across distributed heterogeneous supply chain networks. The developed ISCIS architecture works in three layers of data, processes, and knowledge and facilitates the alignment of information systems and decision making with business.

Suggested Citation

  • Mohammad Daneshvar Kakhki & Hamid Nemati & Farhad Hassanzadeh, 2018. "A Virtual Supply Chain System for Improved Information Sharing and Decision Making," International Journal of Business Analytics (IJBAN), IGI Global, vol. 5(1), pages 1-17, January.
    • Handle: RePEc:igg:jban00:v:5:y:2018:i:1:p:1-17
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJBAN.2018010102
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    References listed on IDEAS

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    1. Humphreys, P. K. & Lai, M. K. & Sculli, D., 2001. "An inter-organizational information system for supply chain management," International Journal of Production Economics, Elsevier, vol. 70(3), pages 245-255, April.
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    Cited by:

    1. Krunal K. Punjani & Kala Mahadevan & Angappa Gunasekaran & V. V. Ravi Kumar & Sujata Joshi, 2023. "Cloud computing in agriculture: a bibliometric and network visualization analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3849-3883, August.

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