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Analytical foundations for development of real-time supply chain capabilities

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  • Marcos Paulo Valadares de Oliveira
  • Robert Handfield

Abstract

The emergence of real-time supply chain visibility technologies has raised challenges for organisations in developing the required management capabilities required to exploit enhanced visibility. The convergence of cloud computing, mobile technology, distributed computing, and data integration technologies has enabled managers for the first time to have real-time visibility of material flows in end to end supply chains, enhancing their ability to identify bottlenecks and disruptions of material flows anywhere in their network. To effectively harness these technologies, a new set of managerial decision-making capabilities as well as enhanced data governance disciplines will be required. In this research, we employ organisational information processing theory to explore the relationship of analytical capabilities, data quality, reporting quality, and real-time data capabilities on supply chain performance. Our research model suggests that the benefits of real-time information technologies are dependent on quality reporting and managerial analytical strengths to derive supply chain benefits. The implications for managerial applications and research are further described based on these findings.

Suggested Citation

  • Marcos Paulo Valadares de Oliveira & Robert Handfield, 2019. "Analytical foundations for development of real-time supply chain capabilities," International Journal of Production Research, Taylor & Francis Journals, vol. 57(5), pages 1571-1589, March.
    • Handle: RePEc:taf:tprsxx:v:57:y:2019:i:5:p:1571-1589
    DOI: 10.1080/00207543.2018.1493240
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    Citations

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    Cited by:

    1. Mujahid Ghouri, Arsalan & Mani, Venkatesh & Jiao, Zhilun & Venkatesh, V.G. & Shi, Yangyan & Kamble, Sachin S., 2021. "An empirical study of real-time information-receiving using industry 4.0 technologies in downstream operations," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    2. Yang, Jie & Xie, Hongming & Yu, Guangsheng & Liu, Mingyu, 2021. "Achieving a just–in–time supply chain: The role of supply chain intelligence," International Journal of Production Economics, Elsevier, vol. 231(C).
    3. Sarker, Moniruzzaman & Mohd-Any, Amrul Asraf & Kamarulzaman, Yusniza, 2021. "Validating a consumer-based service brand equity (CBSBE) model in the airline industry," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    4. K. Katsaliaki & P. Galetsi & S. Kumar, 2022. "Supply chain disruptions and resilience: a major review and future research agenda," Annals of Operations Research, Springer, vol. 319(1), pages 965-1002, December.
    5. Sharfuddin Ahmed Khan & Muhammad Shujaat Mubarik & Simonov Kusi‐Sarpong & Himanshu Gupta & Syed Imran Zaman & Mobashar Mubarik, 2022. "Blockchain technologies as enablers of supply chain mapping for sustainable supply chains," Business Strategy and the Environment, Wiley Blackwell, vol. 31(8), pages 3742-3756, December.
    6. Murilo Zamboni Alvarenga & Larissa Alves Sincorá & Marcos Paulo Valadares de Oliveira & Letícia Dias Fantinel & Mauri Leodir Löbler, 2023. "What Can Managers Learn From Professional Poker Players About Decision-Making?," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 15(1), pages 1-21, January.
    7. Kouhizadeh, Mahtab & Saberi, Sara & Sarkis, Joseph, 2021. "Blockchain technology and the sustainable supply chain: Theoretically exploring adoption barriers," International Journal of Production Economics, Elsevier, vol. 231(C).
    8. 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).
    9. Tsolakis, Naoum & Niedenzu, Denis & Simonetto, Melissa & Dora, Manoj & Kumar, Mukesh, 2021. "Supply network design to address United Nations Sustainable Development Goals: A case study of blockchain implementation in Thai fish industry," Journal of Business Research, Elsevier, vol. 131(C), pages 495-519.

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