IDEAS home Printed from https://ideas.repec.org/a/sae/vision/v30y2026i2p139-158.html

Big Data Analytics in Logistics and Supply Chain Management: A Review of Literature

Author

Listed:
  • Prathmesh Vasant Pawar
  • Ratna Achuta Paluri

Abstract

The amount of data produced by different sectors in past few years has seen an exponentially increase. As a result, professionals are struggling to process vital data in this new competitive environment. The main purpose of this research study is to understand, explore and provide important insights in the big data analytics (BDA) implementation in different functions of logistics and supply chain management (L&SCM) by conducting a bibliometric analysis and future review of relevant articles to write a literature review on trends and implementation of BDA. The study performs a literature review based on the understanding of bibliometric analysis to further state the review on application and opportunity BDA in logistics management and supply chain management (SCM). The motive of this research study aims to find the advantages of adopting BDA, study the inadequate research findings which was not mentioned in previous research papers in this field. Further the literature review categorizes the trends and implementation of research topic in nine main functions of logistics as well as SCM. This research study will help the practitioners and academia with insightful observation on research finding, applying and incorporating BDA for managers and supply chain (SC) professional to take decision whether use of analytics will help to improve SC and is in vesting in BDA a good decision. Also, the article indicates the scope of future study by highlighting the trends in use of analytics and how this implementation in various functions of SC can be further studied based upon the research gap and future direction. This article is unique in terms on conducting bibliometric study since the evolution of big data concept, analyze the trends, interpret and further with the process of literature review showcase a theory regarding the use of the analytics technology in logistics and SC domain.

Suggested Citation

  • Prathmesh Vasant Pawar & Ratna Achuta Paluri, 2026. "Big Data Analytics in Logistics and Supply Chain Management: A Review of Literature," Vision, , vol. 30(2), pages 139-158, April.
    • Handle: RePEc:sae:vision:v:30:y:2026:i:2:p:139-158
    DOI: 10.1177/09722629221091655
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/09722629221091655
    Download Restriction: no
    File URL: https://libkey.io/10.1177/09722629221091655?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Jian Jin & Ying Liu & Ping Ji & Hongguang Liu, 2016. "Understanding big consumer opinion data for market-driven product design," International Journal of Production Research, Taylor & Francis Journals, vol. 54(10), pages 3019-3041, May.
    3. Ashutosh Sheel & Vishnu Nath, 2019. "Effect of blockchain technology adoption on supply chain adaptability, agility, alignment and performance," Management Research Review, Emerald Group Publishing Limited, vol. 42(12), pages 1353-1374, August.
    4. Abderahman Rejeb & John G. Keogh & Horst Treiblmaier, 2019. "Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management," Future Internet, MDPI, vol. 11(7), pages 1-22, July.
    5. Mahtab Kouhizadeh & Joseph Sarkis, 2018. "Blockchain Practices, Potentials, and Perspectives in Greening Supply Chains," Sustainability, MDPI, vol. 10(10), pages 1-16, October.
    6. Ashrafi, Amir & Zare Ravasan, Ahad & Trkman, Peter & Afshari, Samira, 2019. "The role of business analytics capabilities in bolstering firms’ agility and performance," International Journal of Information Management, Elsevier, vol. 47(C), pages 1-15.
    7. Boehmke, Brad & Hazen, Benjamin & Boone, Christopher A. & Robinson, Jessica L., 2020. "A data science and open source software approach to analytics for strategic sourcing," International Journal of Information Management, Elsevier, vol. 54(C).
    8. Marco Galvagno, 2017. "Bibliometric literature review: An opportunity for marketing scholars," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2017(4), pages 7-15.
    9. Mihalis Giannakis & Michalis Louis, 2016. "A Multi-Agent Based System with Big Data Processing for Enhanced Supply Chain Agility," Post-Print hal-01353916, HAL.
    10. Arias, Mariz B. & Bae, Sungwoo, 2016. "Electric vehicle charging demand forecasting model based on big data technologies," Applied Energy, Elsevier, vol. 183(C), pages 327-339.
    11. Zhong, Ray Y. & Huang, George Q. & Lan, Shulin & Dai, Q.Y. & Chen, Xu & Zhang, T., 2015. "A big data approach for logistics trajectory discovery from RFID-enabled production data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 260-272.
    12. Howard D. White & Belver C. Griffith, 1981. "Author cocitation: A literature measure of intellectual structure," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 32(3), pages 163-171, May.
    13. Sameer Prasad & Rimi Zakaria & Nezih Altay, 2018. "Big data in humanitarian supply chain networks: a resource dependence perspective," Annals of Operations Research, Springer, vol. 270(1), pages 383-413, November.
    14. Ashutosh Sheel & Vishnu Nath, 2019. "Effect of blockchain technology adoption on supply chain adaptability, agility, alignment and performance," Management Research Review, Emerald Group Publishing Limited, vol. 42(12), pages 1353-1374, August.
    15. Mohamed Ben-Daya & Elkafi Hassini & Zied Bahroun, 2019. "Internet of things and supply chain management: a literature review," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 4719-4742, August.
    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. Kaustov Chakraborty & Arindam Ghosh & Saurabh Pratap, 2023. "Adoption of blockchain technology in supply chain operations: a comprehensive literature study analysis," Operations Management Research, Springer, vol. 16(4), pages 1989-2007, December.
    2. Kirti Nayal & Rakesh D. Raut & Balkrishna E. Narkhede & Pragati Priyadarshinee & Gajanan B. Panchal & Vidyadhar V. Gedam, 2023. "Antecedents for blockchain technology-enabled sustainable agriculture supply chain," Annals of Operations Research, Springer, vol. 327(1), pages 293-337, August.
    3. Viviana D’Angelo & Valeria Belvedere, 2023. "Green Supply Chains and Digital Supply Chains: Identifying Overlapping Areas," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    4. Tien Nguyen & Cat Vi Le & Minh Nguyen & Gam Nguyen & Tran Thi Hong Lien & Oanh Nguyen, 2025. "The organisational impact of agility: a systematic literature review," Management Review Quarterly, Springer, vol. 75(3), pages 2709-2757, September.
    5. Shafique Ur Rehman & Stefano Bresciani & Qingyu Zhang & Bernardo Bertoldi, 2024. "Tech and grow! Unraveling the interplay between industry 4.0 technologies and supply chain performance: marketing strategy alignment as a moderator," International Entrepreneurship and Management Journal, Springer, vol. 20(2), pages 1347-1376, June.
    6. Ulpan Tokkozhina & Ana Lucia Martins & Joao C. Ferreira, 2023. "Uncovering dimensions of the impact of blockchain technology in supply chain management," Operations Management Research, Springer, vol. 16(1), pages 99-125, March.
    7. Abderahman Rejeb & Karim Rejeb & Steve Simske & Horst Treiblmaier, 2021. "Blockchain Technologies in Logistics and Supply Chain Management: A Bibliometric Review," Logistics, MDPI, vol. 5(4), pages 1-28, October.
    8. Vincenzo Varriale & Antonello Cammarano & Francesca Michelino & Mauro Caputo, 2021. "Sustainable Supply Chains with Blockchain, IoT and RFID: A Simulation on Order Management," Sustainability, MDPI, vol. 13(11), pages 1-23, June.
    9. Syed Imran Zaman & Sharfuddin Ahmed Khan & Sahar Qabool & Himanshu Gupta, 2023. "How digitalization in banking improve service supply chain resilience of e-commerce sector? a technological adoption model approach," Operations Management Research, Springer, vol. 16(2), pages 904-930, June.
    10. Tanković Ana Čuić & Prodan Marina Perišić & Benazić Dragan, 2023. "Consumer Segments in Blockchain Technology Adoption," South East European Journal of Economics and Business, Sciendo, vol. 18(2), pages 162-172, December.
    11. Horobet, Alexandra & Boubaker, Sabri & Belascu, Lucian & Negreanu, Cristina Carmencita & Dinca, Zeno, 2024. "Technology-driven advancements: Mapping the landscape of algorithmic trading literature," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    12. Poonam Garg & Bhumika Gupta & Kanwal Nayan Kapil & Uthayasankar Sivarajah & Shivam Gupta, 2025. "Examining the relationship between blockchain capabilities and organizational performance in the Indian banking sector," Annals of Operations Research, Springer, vol. 348(3), pages 1513-1546, May.
    13. Gómez Pescador Irune & Agirre Aranburu Izaskun & Markuerkiaga Arritola Leire & Elorza Iturbe Maider, 2026. "The role of marketing analytics in shaping market orientation: a bibliometric review of emerging trends," Future Business Journal, Springer, vol. 12(1), pages 1-19, December.
    14. Ayman Abdalmajeed Alsmadi & Ahmed Shuhaiber & Manaf Al-Okaily & Anwar Al-Gasaymeh & Najed Alrawashdeh, 2024. "Big data analytics and innovation in e-commerce: current insights and future directions," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(4), pages 1635-1652, December.
    15. Ramakrishnan Raman & Pranav Vyas & Hardik Vachharajani, 2025. "Impact of industry 4.0 on supply chain in made to order industries," Annals of Operations Research, Springer, vol. 348(3), pages 1183-1194, May.
    16. Latan, Hengky & Lopes de Sousa Jabbour, Ana Beatriz & Sarkis, Joseph & Chiappetta Jabbour, Charbel Jose & Ali, Murad, 2024. "The nexus of supply chain performance and blockchain technology in the digitalization era: Insights from a fast-growing economy," Journal of Business Research, Elsevier, vol. 172(C).
    17. Han, Peng & Huo, Yanfang & Liu, Weihua & Qi, Ershi & Cai, Helen, 2026. "The development strategy of supply chain intelligent technology considering technology development uncertainty," European Journal of Operational Research, Elsevier, vol. 328(2), pages 496-510.
    18. Ciampi, Francesco & Faraoni, Monica & Ballerini, Jacopo & Meli, Francesco, 2022. "The co-evolutionary relationship between digitalization and organizational agility: Ongoing debates, theoretical developments and future research perspectives," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    19. Mishra, Rohan Kumar & Pattnaik, Debidutta & Hassan, M. Kabir & Chandra, Abhijeet, 2025. "Research on related party transactions (RPTs): a systematic review and bibliometric analysis," International Review of Economics & Finance, Elsevier, vol. 103(C).
    20. 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).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:sae:vision:v:30:y:2026:i:2:p:139-158. 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: SAGE Publications (email available below). General contact details of provider: .

    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.