IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v184y2022ics0040162522004978.html
   My bibliography  Save this article

Digital supply chain blueprint via a systematic literature review

Author

Listed:
  • Farajpour, Farnoush
  • Hassanzadeh, Alireza
  • Elahi, Shaban
  • Ghazanfari, Mehdi

Abstract

During recent years have both practitioners and academic people tried to focus on Digital Supply Chain (DSC) as a phenomenon which has its own constructs, structure, limitations and possibilities, mostly in order to magnify the indispensable need for transformation due to the growing dominance of digital technologies. Despite all valuable efforts, DSC has still a long way ahead to be known, understood and implemented all over a supply chain. Therefore, this study presents a literature review of 107 papers on DSC to clarify its definition in addition to provide insight on the most prominent components of a DSC framework. It is done by updating previous literature reviews and conducting a classification and thematic analysis on the reviewed papers. Moreover, in order to have more specific look on building blocks of DSC, a framework for digital supply chain is designed considering the value stream in DSC. The framework consists of several layers, including DSC strategies, enablers, processes, data management and analytics, DSC flows and DSC features. These components work seamlessly to provide virtual values for customers and other stakeholders. Finally, managerial implications and future research directions are remarked.

Suggested Citation

  • Farajpour, Farnoush & Hassanzadeh, Alireza & Elahi, Shaban & Ghazanfari, Mehdi, 2022. "Digital supply chain blueprint via a systematic literature review," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    • Handle: RePEc:eee:tefoso:v:184:y:2022:i:c:s0040162522004978
    DOI: 10.1016/j.techfore.2022.121976
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162522004978
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2022.121976?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. R. Sathish Kumar & C. Rani & P. Ganesh Kumar, 2018. "Design of smart logistics transportation system using MapReduce intelligent water drops algorithm in Hadoop environment," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 31(2), pages 249-266.
    2. Ho‐Yin Mak & Zuo‐Jun Max Shen, 2021. "When Triple‐A Supply Chains Meet Digitalization: The Case of JD.com's C2M Model," Production and Operations Management, Production and Operations Management Society, vol. 30(3), pages 656-665, March.
    3. Meindl, Benjamin & Ayala, Néstor Fabián & Mendonça, Joana & Frank, Alejandro G., 2021. "The four smarts of Industry 4.0: Evolution of ten years of research and future perspectives," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    4. Beaulieu, Martin & Bentahar, Omar, 2021. "Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    5. Pietro De Giovanni, 2019. "Digital Supply Chain through Dynamic Inventory and Smart Contracts," Mathematics, MDPI, vol. 7(12), pages 1-25, December.
    6. Guilherme Francisco Frederico & Jose Arturo Garza-Reyes & Anil Kumar & Vikas Kumar, 2020. "Performance measurement for supply chains in the Industry 4.0 era: a balanced scorecard approach," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 70(4), pages 789-807, May.
    7. Hao Luo & Siyu Tian & Xiang T. R. Kong, 2021. "Physical Internet-enabled customised furniture delivery in the metropolitan areas: digitalisation, optimisation and case study," International Journal of Production Research, Taylor & Francis Journals, vol. 59(7), pages 2193-2217, April.
    8. José M. González-Varona & David Poza & Fernando Acebes & Félix Villafáñez & Javier Pajares & Adolfo López-Paredes, 2020. "New Business Models for Sustainable Spare Parts Logistics: A Case Study," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    9. Kamble, Sachin S. & Gunasekaran, Angappa & Gawankar, Shradha A., 2020. "Achieving sustainable performance in a data-driven agriculture supply chain: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 219(C), pages 179-194.
    10. Sven Winkelhaus & Eric H. Grosse, 2020. "Logistics 4.0: a systematic review towards a new logistics system," International Journal of Production Research, Taylor & Francis Journals, vol. 58(1), pages 18-43, January.
    11. Héctor Cañas & Josefa Mula & Francisco Campuzano-Bolarín, 2020. "A General Outline of a Sustainable Supply Chain 4.0," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
    12. Emil Jatib Khatib & Raquel Barco, 2021. "Optimization of 5G Networks for Smart Logistics," Energies, MDPI, vol. 14(6), pages 1-19, March.
    13. C.K.M. Lee & Yaqiong Lv & K.K.H. Ng & William Ho & K.L. Choy, 2018. "Design and application of Internet of things-based warehouse management system for smart logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2753-2768, April.
    14. Mohammad Agung Saryatmo & Vatcharapol Sukhotu, 2021. "The Influence of the Digital Supply Chain on Operational Performance: A Study of the Food and Beverage Industry in Indonesia," Sustainability, MDPI, vol. 13(9), pages 1-18, May.
    15. Frank, Alejandro Germán & Dalenogare, Lucas Santos & Ayala, Néstor Fabián, 2019. "Industry 4.0 technologies: Implementation patterns in manufacturing companies," International Journal of Production Economics, Elsevier, vol. 210(C), pages 15-26.
    16. Winkelhaus, S. & Grosse, E. H., 2020. "Logistics 4.0: a systematic review towards a new logistics system," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 118539, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    17. 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.
    18. Shao, Xue-Feng & Liu, Wei & Li, Yi & Chaudhry, Hassan Rauf & Yue, Xiao-Guang, 2021. "Multistage implementation framework for smart supply chain management under industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    19. Luigi Ranieri & Salvatore Digiesi & Bartolomeo Silvestri & Michele Roccotelli, 2018. "A Review of Last Mile Logistics Innovations in an Externalities Cost Reduction Vision," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    20. Zhu, Zhen & Zhao, Jing & Bush, Ashley A., 2020. "The effects of e-business processes in supply chain operations: Process component and value creation mechanisms," International Journal of Information Management, Elsevier, vol. 50(C), pages 273-285.
    21. Shubham Tripathi & Manish Gupta, 2020. "Transforming towards a smarter supply chain," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 36(3), pages 319-342.
    22. Nasiri, Mina & Ukko, Juhani & Saunila, Minna & Rantala, Tero, 2020. "Managing the digital supply chain: The role of smart technologies," Technovation, Elsevier, vol. 96.
    23. Manuel Woschank & Erwin Rauch & Helmut Zsifkovits, 2020. "A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    24. Yang, Miying & Fu, Mingtao & Zhang, Zihan, 2021. "The adoption of digital technologies in supply chains: Drivers, process and impact," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    25. Yevhen Krykavskyy & Olena Pokhylchenko & Nataliya Hayvanovych, 2019. "Supply chain development drivers in industry 4.0 in Ukrainian enterprises," Oeconomia Copernicana, Institute of Economic Research, vol. 10(2), pages 273-290, June.
    26. Martin Beaulieu & Omar Bentahar, 2021. "Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery," Post-Print hal-03208957, HAL.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Maheshwari, Pratik & Kamble, Sachin & Belhadi, Amine & Venkatesh, Mani & Abedin, Mohammad Zoynul, 2023. "Digital twin-driven real-time planning, monitoring, and controlling in food supply chains," Technological Forecasting and Social Change, Elsevier, vol. 195(C).

    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. Núñez-Merino, Miguel & Maqueira-Marín, Juan Manuel & Moyano-Fuentes, José & Castaño-Moraga, Carlos Alberto, 2022. "Industry 4.0 and supply chain. A Systematic Science Mapping analysis," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    2. Gillani, Fatima & Chatha, Kamran Ali & Jajja, Shakeel Sadiq & Cao, Dongmei & Ma, Xiao, 2024. "Unpacking Digital Transformation: Identifying key enablers, transition stages and digital archetypes," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    3. Saoussane Srhir & Anicia Jaegler & Jairo R. Montoya‐Torres, 2023. "Uncovering Industry 4.0 technology attributes in sustainable supply chain 4.0: A systematic literature review," Business Strategy and the Environment, Wiley Blackwell, vol. 32(7), pages 4143-4166, November.
    4. Chung, Sai-Ho, 2021. "Applications of smart technologies in logistics and transport: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    5. Enrique, Daisy Valle & Lerman, Laura Visintainer & Sousa, Paulo Renato de & Benitez, Guilherme Brittes & Bigares Charrua Santos, Fernando M. & Frank, Alejandro G., 2022. "Being digital and flexible to navigate the storm: How digital transformation enhances supply chain flexibility in turbulent environments," International Journal of Production Economics, Elsevier, vol. 250(C).
    6. 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.
    7. Menti, Federica & Romero, David & Jacobsen, Peter, 2023. "A technology assessment and implementation model for evaluating socio-cultural and technical factors for the successful deployment of Logistics 4.0 technologies," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    8. Liu, Weihua & Yuan, Chaolun & Wang, Jingkun & Lim, Ming K & Hou, Jiahe, 2024. "Digital supply chain announcements and firm’s stock market value: An empirical study from China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 187(C).
    9. Kabadurmus, Ozgur & Kayikci, Yaşanur & Demir, Sercan & Koc, Basar, 2023. "A data-driven decision support system with smart packaging in grocery store supply chains during outbreaks," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    10. Zhao, Nanyang & Hong, Jiangtao & Lau, Kwok Hung, 2023. "Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model," International Journal of Production Economics, Elsevier, vol. 259(C).
    11. Ming-Lang Tseng & Tat-Dat Bui & Ming K. Lim & Stephen Lewi, 2021. "A Cause and Effect Model for Digital Sustainable Supply Chain Competitiveness under Uncertainties: Enhancing Digital Platform," Sustainability, MDPI, vol. 13(18), pages 1-19, September.
    12. Chen, Yi-Ting & Sun, Edward W. & Chang, Ming-Feng & Lin, Yi-Bing, 2021. "Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0," International Journal of Production Economics, Elsevier, vol. 238(C).
    13. Rodríguez-Espíndola, Oscar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel & Emrouznejad, Ali, 2022. "Analysis of the adoption of emergent technologies for risk management in the era of digital manufacturing," Technological Forecasting and Social Change, Elsevier, vol. 178(C).
    14. Abbas, Hasnain & Zhao, Lindu & Gong, Xi & Faiz, Narmeen, 2023. "The perishable products case to achieve sustainable food quality and safety goals implementing on-field sustainable supply chain model," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).
    15. Tadesse Kenea Amentae & Girma Gebresenbet, 2021. "Digitalization and Future Agro-Food Supply Chain Management: A Literature-Based Implications," Sustainability, MDPI, vol. 13(21), pages 1-24, November.
    16. 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).
    17. Alla Mostepaniuk & Turgay Akalin & Mohammad Reza Parish, 2023. "Practices Pursuing the Sustainability of A Healthcare Organization: A Systematic Review," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    18. Li, Ying & Dai, Jing & Cui, Li, 2020. "The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model," International Journal of Production Economics, Elsevier, vol. 229(C).
    19. Liu, Weihua & Long, Shangsong & Wei, Shuang, 2022. "Correlation mechanism between smart technology and smart supply chain innovation performance: A multi-case study from China's companies with Physical Internet," International Journal of Production Economics, Elsevier, vol. 245(C).
    20. Azadi, Majid & Yousefi, Saeed & Farzipoor Saen, Reza & Shabanpour, Hadi & Jabeen, Fauzia, 2023. "Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis," Journal of Business Research, Elsevier, vol. 154(C).

    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:eee:tefoso:v:184:y:2022:i:c:s0040162522004978. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.