IDEAS home Printed from https://ideas.repec.org/a/aes/infoec/v26y2022i1p16-24.html
   My bibliography  Save this article

Efficiency and Performance of Big Data Analytics for Supply Chain Management

Author

Listed:
  • Elena PUICA

Abstract

This paper aims to clarify the problem of Supply Chain Management (SCM) efficiency in the context of universal theoretical reflections relating to SCM and analyze the correlation be-tween Big Data Analytics and the efficiency and performance of the supply chain. An adequate SCM has to be cost-effective (economic efficiency), functional (reducing processes, minimizing the number of links in the SCM to the necessary ones), and ensuring high quality of services and products (customer-oriented logistics systems). The efficiency of SCM is not only an activity for which the logistics department is in charge, as it is a strategic decision taken by the man-agement regarding the method of future company operation. Correctly organized and fulfilled logistics tasks may advance the performance of an organization and the whole SCM. Essential enhancements in SCM efficiency may be ensured by analyzing theoretical models on the strate-gic level and implementing a selected concept.

Suggested Citation

  • Elena PUICA, 2022. "Efficiency and Performance of Big Data Analytics for Supply Chain Management," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 26(1), pages 16-24.
    • Handle: RePEc:aes:infoec:v:26:y:2022:i:1:p:16-24
    as

    Download full text from publisher

    File URL: http://revistaie.ase.ro/content/101/02%20-%20puica.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Yulan & Wallace, Stein W. & Shen, Bin & Choi, Tsan-Ming, 2015. "Service supply chain management: A review of operational models," European Journal of Operational Research, Elsevier, vol. 247(3), pages 685-698.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Okoroigwe, Edmund & Madhlopa, Amos, 2016. "An integrated combined cycle system driven by a solar tower: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 337-350.
    2. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    3. Santanu Mandal & Souvik Roy & G. Amar Raju, 2016. "Tourism supply chain agility: an empirical examination using resource-based view," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(2), pages 151-173.
    4. Mei, Qihuang & Li, Jianbin & Ursavas, Evrim & Zhu, Stuart X. & Luo, Xiaomeng, 2021. "Freight transportation planning in platform service supply chain considering carbon emissions," International Journal of Production Economics, Elsevier, vol. 240(C).
    5. Shen, Bin & Xu, Xiaoyan & Guo, Shu, 2019. "The impacts of logistics services on short life cycle products in a global supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 153-167.
    6. Wen, Xin & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Fashion retail supply chain management: A review of operational models," International Journal of Production Economics, Elsevier, vol. 207(C), pages 34-55.
    7. Ya-Jun Cai & Yingjia Wang & Juzhi Zhang, 2020. "Enhancing e-platform business by customer service systems: a multi-methodological case study on Ali Wangwang instant message’s impacts on TaoBao," Annals of Operations Research, Springer, vol. 291(1), pages 59-81, August.
    8. H. Neil Geismar & Yiwei Huang & Suresh D. Pillai & Chelliah Sriskandarajah & Seokjun Youn, 2020. "Location‐Routing with Conflicting Objectives: Coordinating eBeam Phytosanitary Treatment and Distribution of Mexican Import Commodities," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1506-1531, June.
    9. Qin, Xuwei & Jiang, Zhong-Zhong & Sun, Minghe & Tang, Liang & Liu, Xiaoran, 2021. "Repairable spare parts provisioning for multiregional expanding fleets of equipment under performance-based contracting," Omega, Elsevier, vol. 102(C).
    10. Xiaowei Zhu, 2017. "Outsourcing management under various demand Information Sharing scenarios," Annals of Operations Research, Springer, vol. 257(1), pages 449-467, October.
    11. Boon-itt, Sakun & Wong, Chee Yew & Wong, Christina W.Y., 2017. "Service supply chain management process capabilities: Measurement development," International Journal of Production Economics, Elsevier, vol. 193(C), pages 1-11.
    12. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    13. Jifeng Cao & Cheng Ma, 2022. "Procurement Strategies and Auction Mechanism for Heterogeneous Service Providers in a Service Supply Chain," Sustainability, MDPI, vol. 14(15), pages 1-36, July.
    14. Carayannis, Elias G. & Grigoroudis, Evangelos & Wurth, Bernd, 2022. "OR for entrepreneurial ecosystems: A problem-oriented review and agenda," European Journal of Operational Research, Elsevier, vol. 300(3), pages 791-808.
    15. Qin, Xuwei & Shao, Lusheng & Jiang, Zhong-Zhong, 2020. "Contract design for equipment after-sales service with business interruption insurance," European Journal of Operational Research, Elsevier, vol. 284(1), pages 176-187.
    16. Hamidi, Maryam & Liao, Haitao & Szidarovszky, Ferenc, 2016. "Non-cooperative and cooperative game-theoretic models for usage-based lease contracts," European Journal of Operational Research, Elsevier, vol. 255(1), pages 163-174.
    17. Mahadevan, B. & Hazra, Jishnu & Jain, Tarun, 2017. "Services outsourcing under asymmetric cost information," European Journal of Operational Research, Elsevier, vol. 257(2), pages 456-467.
    18. Deligiannis, Michalis & Liberopoulos, George & Benioudakis, Myron, 2023. "Dynamic supplier competition and cooperation for buyer loyalty on service," International Journal of Production Economics, Elsevier, vol. 255(C).
    19. Antonello Cammarano & Vincenzo Varriale & Francesca Michelino & Mauro Caputo, 2023. "Blockchain as enabling factor for implementing RFID and IoT technologies in VMI: a simulation on the Parmigiano Reggiano supply chain," Operations Management Research, Springer, vol. 16(2), pages 726-754, June.
    20. Robert Suurmond & Larry J. Menor & Finn Wynstra, 2022. "Examining service triad operations: Formation, functioning, and feedback exchanges," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3352-3370, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aes:infoec:v:26:y:2022:i:1:p:16-24. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Paul Pocatilu (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.