IDEAS home Printed from https://ideas.repec.org/a/cmj/networ/y2015i5p103-108.html
   My bibliography  Save this article

Big Data In Supply Chain Management: An Exploratory Study

Author

Listed:
  • Gheorghe MILITARU

    (Politehnica University of Bucharest, Romania)

  • Massimo POLLIFRONI

    (University of Turin, Italy)

  • Alexandra IOANID

    (Politehnica University of Bucharest, Romania)

Abstract

The objective of this paper is to set a framework for examining the conditions under which the big data can create long-term profitability through developing dynamic operations and digital supply networks in supply chain. We investigate the extent to which big data analytics has the power to change the competitive landscape of industries that could offer operational, strategic and competitive advantages. This paper is based upon a qualitative study of the convergence of predictive analytics and big data in the field of supply chain management. Our findings indicate a need for manufacturers to introduce analytics tools, real-time data, and more flexible production techniques to improve their productivity in line with the new business model. By gathering and analysing vast volumes of data, analytics tools help companies to resource allocation and capital spends more effectively based on risk assessment. Finally, implications and directions for future research are discussed.

Suggested Citation

  • Gheorghe MILITARU & Massimo POLLIFRONI & Alexandra IOANID, 2015. "Big Data In Supply Chain Management: An Exploratory Study," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 6, pages 103-108, December.
    • Handle: RePEc:cmj:networ:y:2015:i:5:p:103-108
    as

    Download full text from publisher

    File URL: http://seaopenresearch.eu/Journals/articles/NIS_6_3.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Da Silveira, Giovani & Borenstein, Denis & Fogliatto, Flavio S., 2001. "Mass customization: Literature review and research directions," International Journal of Production Economics, Elsevier, vol. 72(1), pages 1-13, June.
    2. Fernando Bernstein & Awi Federgruen, 2007. "Coordination Mechanisms for Supply Chains Under Price and Service Competition," Manufacturing & Service Operations Management, INFORMS, vol. 9(3), pages 242-262, January.
    3. Doug Howe & Maria Costanzo & Petra Fey & Takashi Gojobori & Linda Hannick & Winston Hide & David P. Hill & Renate Kania & Mary Schaeffer & Susan St Pierre & Simon Twigger & Owen White & Seung Yon Rhee, 2008. "The future of biocuration," Nature, Nature, vol. 455(7209), pages 47-50, September.
    4. Li, Suhong & Ragu-Nathan, Bhanu & Ragu-Nathan, T.S. & Subba Rao, S., 2006. "The impact of supply chain management practices on competitive advantage and organizational performance," Omega, Elsevier, vol. 34(2), pages 107-124, April.
    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. Rezapour, Shabnam & Hassani, Ashkan & Farahani, Reza Zanjirani, 2015. "Concurrent design of product family and supply chain network considering quality and price," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 18-35.
    2. Pietro Cunha Dolci & Antonio Carlos Gastaud Maçada, 2014. "Information technology investments and supply chain governance," RAC - Revista de Administração Contemporânea (Journal of Contemporary Administration), ANPAD - Associação Nacional de Pós-Graduação e Pesquisa em Administração, vol. 18(2), pages 217-235.
    3. Kertcher, Zack & Venkatraman, Rohan & Coslor, Erica, 2020. "Pleasingly parallel: Early cross-disciplinary work for innovation diffusion across boundaries in grid computing," Journal of Business Research, Elsevier, vol. 116(C), pages 581-594.
    4. Rosenbaum, Mark S. & Ramirez, Germán Contreras & Campbell, Jeffrey & Klaus, Philipp, 2021. "The product is me: Hyper-personalized consumer goods as unconventional luxury," Journal of Business Research, Elsevier, vol. 129(C), pages 446-454.
    5. Kumar, V.N.S.A. & Kumar, V. & Brady, M. & Garza-Reyes, Jose Arturo & Simpson, M., 2017. "Resolving forward-reverse logistics multi-period model using evolutionary algorithms," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 458-469.
    6. Gallear, David & Ghobadian, Abby & Chen, Weifeng, 2012. "Corporate responsibility, supply chain partnership and performance: An empirical examination," International Journal of Production Economics, Elsevier, vol. 140(1), pages 83-91.
    7. Prof Wang Jiuhe & Matari, Davis Festo & Kwabena Amanor Anim-Boateng & Lincoln G F Morris Jr, 2024. "“Assessing the Water Supply Chain Activities in Tanzania Water Authorities, a case of Arusha regionâ€," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(4), pages 1406-1435, April.
    8. Prajogo, Daniel & Toy, Jordan & Bhattacharya, Ananya & Oke, Adegoke & Cheng, T.C.E., 2018. "The relationships between information management, process management and operational performance: Internal and external contexts," International Journal of Production Economics, Elsevier, vol. 199(C), pages 95-103.
    9. Moh. Mukhsin & Tulus Suryanto, 2022. "The Effect of Sustainable Supply Chain Management on Company Performance Mediated by Competitive Advantage," Sustainability, MDPI, vol. 14(2), pages 1-18, January.
    10. Dzintra Atstāja & Kevin Wilclif Mukem, 2024. "Sustainable Supply Chain Management in the Oil and Gas Industry in Developing Countries as a Part of the Quadruple Helix Concept: A Systematic Literature Review," Sustainability, MDPI, vol. 16(5), pages 1-18, February.
    11. Ifrah Quais & Danish Ahmed Siddiqui, 2017. "Measuring the Performance of Logistics Industry in the Context of Karachi," Information Management and Business Review, AMH International, vol. 9(5), pages 24-34.
    12. Bronzo, Marcelo & de Resende, Paulo Tarso Vilela & de Oliveira, Marcos Paulo Valadares & McCormack, Kevin P. & de Sousa, Paulo Renato & Ferreira, Reinaldo Lopes, 2013. "Improving performance aligning business analytics with process orientation," International Journal of Information Management, Elsevier, vol. 33(2), pages 300-307.
    13. Rönnberg Sjödin, David & Parida, Vinit & Kohtamäki, Marko, 2016. "Capability configurations for advanced service offerings in manufacturing firms: Using fuzzy set qualitative comparative analysis," Journal of Business Research, Elsevier, vol. 69(11), pages 5330-5335.
    14. Laurent Lim, Lâm & Alpan, Gülgün & Penz, Bernard, 2014. "Reconciling sales and operations management with distant suppliers in the automotive industry: A simulation approach," International Journal of Production Economics, Elsevier, vol. 151(C), pages 20-36.
    15. Franck Brulhart & Uche Okongwu & Btissam Moncef, 2015. "Causal linkages between supply chain management practices and performance: a balanced scorecard strategy map perspective," Post-Print halshs-01239670, HAL.
    16. Wei, Jie & Chang, Meijing, 2023. "Are price matching and logistics service enhancement always effective strategies for improving profitability?," European Journal of Operational Research, Elsevier, vol. 307(1), pages 103-115.
    17. Zhou, Wei & Piramuthu, Selwyn, 2012. "Manufacturing with item-level RFID information: From macro to micro quality control," International Journal of Production Economics, Elsevier, vol. 135(2), pages 929-938.
    18. Natalia Szozda & Artur Świerczek, 2022. "Upstream and downstream dyad governance within the network structures: Creating supply chain governance for the customized products," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 873-898, June.
    19. Ra’ed Masa’deh & Ismail Muheisen & Bader Obeidat & Ashraf Bany Mohammad, 2022. "The Impact of Supply Chain Integration on Operational Performance: An Empirical Study," Sustainability, MDPI, vol. 14(24), pages 1-18, December.
    20. Amol Adkonkar & Anand Sharma & Pooja Arora, 2024. "Validation of Instrument Measuring the Impact of SCM Practices and SCM Agility on Competitive Advantage and Organization Performance in Indian Pharmaceutical Firms," Paradigm, , vol. 28(1), pages 65-83, June.

    More about this item

    Keywords

    big data; supply chain; competitive advantage;
    All these keywords.

    JEL classification:

    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
    • M19 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Other
    • O20 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - General

    Statistics

    Access and download statistics

    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:cmj:networ:y:2015:i:5:p:103-108. See general information about how to correct material in RePEc.

    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: Serghie Dan (email available below). General contact details of provider: https://seaopenresearch.eu/ .

    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.