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Do virtuality and complexity affect supply chain visibility?

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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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    1. van der Vaart, Taco & van Donk, Dirk Pieter, 2008. "A critical review of survey-based research in supply chain integration," International Journal of Production Economics, Elsevier, vol. 111(1), pages 42-55, January.
    2. William W. Cooper & Kingshuk K. Sinha & Robert S. Sullivan, 1992. "Measuring Complexity in High-Technology Manufacturing: Indexes for Evaluation," Interfaces, INFORMS, vol. 22(4), pages 38-48, August.
    3. Hau L. Lee & Kut C. So & Christopher S. Tang, 2000. "The Value of Information Sharing in a Two-Level Supply Chain," Management Science, INFORMS, vol. 46(5), pages 626-643, May.
    4. Bourland, Karla E. & Powell, Stephen G. & Pyke, David F., 1996. "Exploiting timely demand information to reduce inventories," European Journal of Operational Research, Elsevier, vol. 92(2), pages 239-253, July.
    5. Jayashankar M. Swaminathan & Sridhar R. Tayur, 2003. "Models for Supply Chains in E-Business," Management Science, INFORMS, vol. 49(10), pages 1387-1406, October.
    6. Wong, Chee Yew & Boon-itt, Sakun, 2008. "The influence of institutional norms and environmental uncertainty on supply chain integration in the Thai automotive industry," International Journal of Production Economics, Elsevier, vol. 115(2), pages 400-410, October.
    7. Ryu, Seung-Jin & Tsukishima, Takahiro & Onari, Hisashi, 2009. "A study on evaluation of demand information-sharing methods in supply chain," International Journal of Production Economics, Elsevier, vol. 120(1), pages 162-175, July.
    8. Al-Mudimigh, Abdullah S. & Zairi, Mohamed & Ahmed, Abdel Moneim M., 2004. "Extending the concept of supply chain:: The effective management of value chains," International Journal of Production Economics, Elsevier, vol. 87(3), pages 309-320, February.
    9. Kim, Soo Wook, 2009. "An investigation on the direct and indirect effect of supply chain integration on firm performance," International Journal of Production Economics, Elsevier, vol. 119(2), pages 328-346, June.
    10. Srinagesh Gavirneni, 2002. "Information Flows in Capacitated Supply Chains with Fixed Ordering Costs," Management Science, INFORMS, vol. 48(5), pages 644-651, May.
    11. Disney, S. M. & Towill, D. R., 2003. "The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains," International Journal of Production Economics, Elsevier, vol. 85(2), pages 199-215, August.
    12. James E. Bailey & Sammy W. Pearson, 1983. "Development of a Tool for Measuring and Analyzing Computer User Satisfaction," Management Science, INFORMS, vol. 29(5), pages 530-545, May.
    13. Fangruo Chen, 1998. "Echelon Reorder Points, Installation Reorder Points, and the Value of Centralized Demand Information," Management Science, INFORMS, vol. 44(12-Part-2), pages 221-234, December.
    14. Gérard P. Cachon & Marshall Fisher, 2000. "Supply Chain Inventory Management and the Value of Shared Information," Management Science, INFORMS, vol. 46(8), pages 1032-1048, August.
    15. Hau L. Lee & V. Padmanabhan & Seungjin Whang, 1997. "Information Distortion in a Supply Chain: The Bullwhip Effect," Management Science, INFORMS, vol. 43(4), pages 546-558, April.
    16. Suresh Kotha & Daniel Orne, 1989. "Generic manufacturing strategies: A conceptual synthesis," Strategic Management Journal, Wiley Blackwell, vol. 10(3), pages 211-231, May.
    17. Bailey, Kate & Francis, Mark, 2008. "Managing information flows for improved value chain performance," International Journal of Production Economics, Elsevier, vol. 111(1), pages 2-12, January.
    18. Frank Chen & Zvi Drezner & Jennifer K. Ryan & David Simchi-Levi, 2000. "Quantifying the Bullwhip Effect in a Simple Supply Chain: The Impact of Forecasting, Lead Times, and Information," Management Science, INFORMS, vol. 46(3), pages 436-443, March.
    19. Theodore H. Clark & Janice H. Hammond, 1997. "Reengineering Channel Reordering Processes To Improve Total Supply‐Chain Performance," Production and Operations Management, Production and Operations Management Society, vol. 6(3), pages 248-265, September.
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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. 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.
    4. 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.
    5. Benjamin Nitsche, 2018. "Unravelling the Complexity of Supply Chain Volatility Management," Logistics, MDPI, vol. 2(3), pages 1-26, August.
    6. 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.
    7. 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.
    8. 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).
    9. 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).
    10. 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.
    11. 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).
    12. 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).
    13. Satyendra Kumar Sharma & Praveen Ranjan Srivastava & Ajay Kumar & Anil Jindal & Shivam Gupta, 2023. "Supply chain vulnerability assessment for manufacturing industry," Annals of Operations Research, Springer, vol. 326(2), pages 653-683, July.
    14. 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.
    15. 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.
    16. 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.
    17. 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.
    18. 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.
    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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