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Do virtuality and complexity affect supply chain visibility?

Author

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  • Caridi, Maria
  • Crippa, Luca
  • Perego, Alessandro
  • Sianesi, Andrea
  • Tumino, Angela

Abstract

In recent years, scientific literature has devoted much attention to the topic of supply chain visibility. Nevertheless, further research is needed regarding the variables affecting the level of visibility that a company has within its supply chain. In accordance with Contingency Theory, this paper aims to study whether and to what extent the supply chain configuration, in terms of virtuality and complexity, affects supply chain visibility. It proposes a structured approach to quantitatively measure supply chain virtuality, complexity and visibility. This approach has been applied to six case studies to verify its usability and to gather preliminary empirical evidences.

Suggested Citation

  • Caridi, Maria & Crippa, Luca & Perego, Alessandro & Sianesi, Andrea & Tumino, Angela, 2010. "Do virtuality and complexity affect supply chain visibility?," International Journal of Production Economics, Elsevier, vol. 127(2), pages 372-383, October.
    • Handle: RePEc:eee:proeco:v:127:y:2010:i:2:p:372-383
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    Cited by:

    1. Kyu Kim, Kyung & Yul Ryoo, Sung & Dug Jung, Myung, 2011. "Inter-organizational information systems visibility in buyer-supplier relationships: The case of telecommunication equipment component manufacturing industry," Omega, Elsevier, vol. 39(6), pages 667-676, December.
    2. Kembro, Joakim & Näslund, Dag & Olhager, Jan, 2017. "Information sharing across multiple supply chain tiers: A Delphi study on antecedents," International Journal of Production Economics, Elsevier, vol. 193(C), pages 77-86.
    3. Benjamin Nitsche, 2018. "Unravelling the Complexity of Supply Chain Volatility Management," Logistics, MDPI, vol. 2(3), pages 1-26, August.
    4. Ng, S.C.H. & Ho, G.T.S. & Wu, C.H., 2023. "Blockchain-IIoT-big data aided process control and quality analytics," International Journal of Production Economics, Elsevier, vol. 261(C).
    5. Tobail Ayman & Crowe John & Arisha Amr, 2016. "Interactive learning: developing an eSimulation portal framework," The Irish Journal of Management, Sciendo, vol. 35(1), pages 17-33, April.
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    7. Marcus A. Bellamy & Rahul C. Basole, 2013. "Network analysis of supply chain systems: A systematic review and future research," Systems Engineering, John Wiley & Sons, vol. 16(2), pages 235-249, June.
    8. Sheshadri Chatterjee & Ranjan Chaudhuri & Demetris Vrontis, 2023. "Role of fake news and misinformation in supply chain disruption: impact of technology competency as moderator," Annals of Operations Research, Springer, vol. 327(2), pages 659-682, August.
    9. Rameshwar Dubey & David J. Bryde & Cyril Foropon & Gary Graham & Mihalis Giannakis & Deepa Bhatt Mishra, 2022. "Agility in humanitarian supply chain: an organizational information processing perspective and relational view," Annals of Operations Research, Springer, vol. 319(1), pages 559-579, December.
    10. Caridi, Maria & Moretto, Antonella & Perego, Alessandro & Tumino, Angela, 2014. "The benefits of supply chain visibility: A value assessment model," International Journal of Production Economics, Elsevier, vol. 151(C), pages 1-19.
    11. Chand, Pushpendu & Thakkar, Jitesh J. & Ghosh, Kunal Kanti, 2018. "Analysis of supply chain complexity drivers for Indian mining equipment manufacturing companies combining SAP-LAP and AHP," Resources Policy, Elsevier, vol. 59(C), pages 389-410.
    12. Melek Akın Ateş & Robert Suurmond & Davide Luzzini & Daniel Krause, 2022. "Order from chaos: A meta‐analysis of supply chain complexity and firm performance," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(1), pages 3-30, January.
    13. Rameshwar Dubey & Angappa Gunasekaran & Stephen J. Childe & Thanos Papadopoulos & Zongwei Luo & David Roubaud, 2020. "Upstream supply chain visibility and complexity effect on focal company’s sustainable performance: Indian manufacturers’ perspective," Annals of Operations Research, Springer, vol. 290(1), pages 343-367, July.
    14. Wamba, Samuel Fosso & Dubey, Rameshwar & Gunasekaran, Angappa & Akter, Shahriar, 2020. "The performance effects of big data analytics and supply chain ambidexterity: The moderating effect of environmental dynamism," International Journal of Production Economics, Elsevier, vol. 222(C).
    15. Doetzer, Mathias, 2020. "The role of national culture on supply chain visibility: Lessons from Germany, Japan, and the USA," International Journal of Production Economics, Elsevier, vol. 230(C).
    16. Kalaiarasan, Ravi & Olhager, Jan & Agrawal, Tarun Kumar & Wiktorsson, Magnus, 2022. "The ABCDE of supply chain visibility: A systematic literature review and framework," International Journal of Production Economics, Elsevier, vol. 248(C).
    17. Kavilal, E.G. & Prasanna Venkatesan, S. & Harsh Kumar, K.D., 2017. "An integrated fuzzy approach for prioritizing supply chain complexity drivers of an Indian mining equipment manufacturer," Resources Policy, Elsevier, vol. 51(C), pages 204-218.
    18. Slim Zidi & Nadia Hamani & Lyes Kermad, 2022. "New metrics for measuring supply chain reconfigurability," Journal of Intelligent Manufacturing, Springer, vol. 33(8), pages 2371-2392, December.
    19. Zhang, Allan N. & Goh, Mark & Meng, Fanwen, 2011. "Conceptual modelling for supply chain inventory visibility," International Journal of Production Economics, Elsevier, vol. 133(2), pages 578-585, October.

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