IDEAS home Printed from https://ideas.repec.org/a/spr/opmare/v16y2023i4d10.1007_s12063-023-00408-6.html
   My bibliography  Save this article

Big data analytics in mitigating challenges of sustainable manufacturing supply chain

Author

Listed:
  • Rohit Raj

    (Chaoyang University of Technology)

  • Vimal Kumar

    (Chaoyang University of Technology)

  • Pratima Verma

    (Indian Institute of Management)

Abstract

Manufacturing Supply Chain (MSC) becomes more complex not only from the business viewpoint but also for environmental care and sustainability. Despite the current progress in realizing how Big Data Analytics (BDA) can considerably enhance the Sustainable Manufacturing Supply Chain (SMSC), there is a major research gap in the storyline relating to factors of Big Data-based operations in managing several forms of SMSC operations. This study attempts to fill this major research gap by studying the key challenges of using Big Data in SMSC operations obtained from IoT devices, group behavior parameters, social networks, and ecosystem frameworks. Big Data Analytics (BDA) is receiving more attention in management, yet there is relatively little empirical research available on the topic. The authors use the multi-criteria strategy employing analytic hierarchy process (AHP) and grey relational analysis (GRA) methodology due to the dearth of comparable information at the junction of BDA and MSC. The presented multi-criteria strategy findings add to the body of understanding by identifying eleven critical criteria and five associated challenges (Financial, Quality, Operation, Technical, and Logistics) related to the emergence of Big Data Analytics from a corporate and supply chain perspective. The findings reveal that product safety barriers (C4) and lack of information sharing (C8) are the critical factor immensely surge and affect the MSC in attaining sustainability. As no empirical study has yet been presented, it is important to examine the challenges at the organizational and MSC levels with a focus on the effects of BDA implementation to achieve sustainability with enhanced customer trust and improved SMSC performance.

Suggested Citation

  • Rohit Raj & Vimal Kumar & Pratima Verma, 2023. "Big data analytics in mitigating challenges of sustainable manufacturing supply chain," Operations Management Research, Springer, vol. 16(4), pages 1886-1900, December.
    • Handle: RePEc:spr:opmare:v:16:y:2023:i:4:d:10.1007_s12063-023-00408-6
    DOI: 10.1007/s12063-023-00408-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12063-023-00408-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12063-023-00408-6?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Jarrahi, Mohammad Hossein, 2018. "Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making," Business Horizons, Elsevier, vol. 61(4), pages 577-586.
    2. Krishna Kumar Dadsena & Pushpesh Pant, 2023. "Analyzing the barriers in supply chain digitization: sustainable development goals perspective," Operations Management Research, Springer, vol. 16(4), pages 1684-1697, December.
    3. Mangla, Sachin Kumar & Luthra, Sunil & Rich, Nick & Kumar, Divesh & Rana, Nripendra P. & Dwivedi, Yogesh K., 2018. "Enablers to implement sustainable initiatives in agri-food supply chains," International Journal of Production Economics, Elsevier, vol. 203(C), pages 379-393.
    4. Gandomi, Amir & Haider, Murtaza, 2015. "Beyond the hype: Big data concepts, methods, and analytics," International Journal of Information Management, Elsevier, vol. 35(2), pages 137-144.
    5. Mengdi Zhang & Saurabh Pratap & George Q. Huang & Zhiheng Zhao, 2017. "Optimal collaborative transportation service trading in B2B e-commerce logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 55(18), pages 5485-5501, September.
    6. Lotfi, Vahid, 1995. "Implementing flexible automation: A multiple criteria decision making approach," International Journal of Production Economics, Elsevier, vol. 38(2-3), pages 255-268, March.
    7. Alharthi, Abdulkhaliq & Krotov, Vlad & Bowman, Michael, 2017. "Addressing barriers to big data," Business Horizons, Elsevier, vol. 60(3), pages 285-292.
    8. Govindan, Kannan & Kaliyan, Mathiyazhagan & Kannan, Devika & Haq, A.N., 2014. "Barriers analysis for green supply chain management implementation in Indian industries using analytic hierarchy process," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 555-568.
    9. Janya Chanchaichujit & Sreejith Balasubramanian & Ng Si Min Charmaine, 2020. "A systematic literature review on the benefit-drivers of RFID implementation in supply chains and its impact on organizational competitive advantage," Cogent Business & Management, Taylor & Francis Journals, vol. 7(1), pages 1818408-181, January.
    10. Mahak Sharma & Ruchita Gupta & Padmanav Acharya, 2020. "Prioritizing the Critical Factors of Cloud Computing Adoption Using Multi-criteria Decision-making Techniques," Global Business Review, International Management Institute, vol. 21(1), pages 142-161, February.
    11. Ray Y. Zhong & Chen Xu & Chao Chen & George Q. Huang, 2017. "Big Data Analytics for Physical Internet-based intelligent manufacturing shop floors," International Journal of Production Research, Taylor & Francis Journals, vol. 55(9), pages 2610-2621, May.
    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. Acharya, Abhilash & Singh, Sanjay Kumar & Pereira, Vijay & Singh, Poonam, 2018. "Big data, knowledge co-creation and decision making in fashion industry," International Journal of Information Management, Elsevier, vol. 42(C), pages 90-101.
    2. Miao Su & Su‐Han Woo & Xiaochun Chen & Keun‐sik Park, 2023. "Identifying critical success factors for the agri‐food cold chain's sustainable development: When the strategy system comes into play," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 444-461, January.
    3. Zhen Wang & Chunhui Yuan & Xiaolong Li, 2024. "Unleashing the power of big data for platform firms: A configuration analysis," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(1), pages 300-314, January.
    4. Joash Mageto, 2021. "Big Data Analytics in Sustainable Supply Chain Management: A Focus on Manufacturing Supply Chains," Sustainability, MDPI, vol. 13(13), pages 1-22, June.
    5. Çağlar Kıvanç Kaymaz & Salih Birinci & Yusuf Kızılkan, 2022. "Sustainable development goals assessment of Erzurum province with SWOT-AHP analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 2986-3012, March.
    6. Colombari, Ruggero & Geuna, Aldo & Helper, Susan & Martins, Raphael & Paolucci, Emilio & Ricci, Riccardo & Seamans, Robert, 2023. "The interplay between data-driven decision-making and digitalization: A firm-level survey of the Italian and U.S. automotive industries," International Journal of Production Economics, Elsevier, vol. 255(C).
    7. Parmar, Rashik & Leiponen, Aija & Thomas, Llewellyn D.W., 2020. "Building an organizational digital twin," Business Horizons, Elsevier, vol. 63(6), pages 725-736.
    8. S. Vijayakumar Bharathi, 2017. "Prioritizing and Ranking the Big Data Information Security Risk Spectrum," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 18(3), pages 183-201, September.
    9. Krishna Kumar Dadsena & Pushpesh Pant, 2023. "Analyzing the barriers in supply chain digitization: sustainable development goals perspective," Operations Management Research, Springer, vol. 16(4), pages 1684-1697, December.
    10. Surajit Bag & Shivam Gupta & Lincoln Wood, 2022. "Big data analytics in sustainable humanitarian supply chain: barriers and their interactions," Annals of Operations Research, Springer, vol. 319(1), pages 721-760, December.
    11. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
    12. Tabesh, Pooya & Mousavidin, Elham & Hasani, Sona, 2019. "Implementing big data strategies: A managerial perspective," Business Horizons, Elsevier, vol. 62(3), pages 347-358.
    13. Robertson, Jeandri & Ferreira, Caitlin & Botha, Elsamari & Oosthuizen, Kim, 2024. "Game changers: A generative AI prompt protocol to enhance human-AI knowledge co-construction," Business Horizons, Elsevier, vol. 67(5), pages 499-510.
    14. Julia Eichholz & Thorsten Knauer & Sandra Winkelmann, 2023. "Digital Maturity of Forecasting and its Impact in Times of Crisis," Schmalenbach Journal of Business Research, Springer, vol. 75(4), pages 443-481, December.
    15. Monica Sharma & Akshay Patidar & Neha Anchliya & Neeraj Prabhu & Amal Asok & Anjesh Jhajhriya, 2023. "Blockchain adoption in food supply chain for new business opportunities: an integrated approach," Operations Management Research, Springer, vol. 16(4), pages 1949-1967, December.
    16. de Camargo Fiorini, Paula & Roman Pais Seles, Bruno Michel & Chiappetta Jabbour, Charbel Jose & Barberio Mariano, Enzo & de Sousa Jabbour, Ana Beatriz Lopes, 2018. "Management theory and big data literature: From a review to a research agenda," International Journal of Information Management, Elsevier, vol. 43(C), pages 112-129.
    17. Asif Khan & Chih-Cheng Chen & Kwanrat Suanpong & Athapol Ruangkanjanases & Santhaya Kittikowit & Shih-Chih Chen, 2021. "The Impact of CSR on Sustainable Innovation Ambidexterity: The Mediating Role of Sustainable Supply Chain Management and Second-Order Social Capital," Sustainability, MDPI, vol. 13(21), pages 1-25, November.
    18. Siliang Tong & Nan Jia & Xueming Luo & Zheng Fang, 2021. "The Janus face of artificial intelligence feedback: Deployment versus disclosure effects on employee performance," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1600-1631, September.
    19. Amiri, Babak & Karimianghadim, Ramin, 2024. "A novel text clustering model based on topic modelling and social network analysis," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).
    20. K. Mathiyazhagan & Udbhav Datta & Rishabh bhadauria & Aditya Singla & S. Krishnamoorthi, 2018. "Identification and prioritization of motivational factors for the green supply chain management adoption: case from Indian construction industries," OPSEARCH, Springer;Operational Research Society of India, vol. 55(1), pages 202-219, March.

    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:spr:opmare:v:16:y:2023:i:4:d:10.1007_s12063-023-00408-6. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.