IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i6p5539-d1103482.html
   My bibliography  Save this article

Critical Success Factors for 5G Technology Adaptation in Supply Chains

Author

Listed:
  • Sanjib Biswas

    (Decision Science & Operations Management Area, Calcutta Business School, Diamond Harbour Road, Bishnupur 743503, West Bengal, India)

  • Aparajita Sanyal

    (Marketing Area, Calcutta Business School, Diamond Harbour Road, Bishnupur 743503, West Bengal, India)

  • Darko Božanić

    (Military Academy, University of Defence in Belgrade, Veljka Lukica Kurjaka 33, 11042 Belgrade, Serbia)

  • Adis Puška

    (Department of Public Safety, Government of Brčko District of Bosnia and Herzegovina, Bulevara Mira 1, 76100 Brčko, Bosnia and Herzegovina)

  • Dragan Marinković

    (Department of Structural Analysis, Technical University of Berlin, 10623 Berlin, Germany)

Abstract

The present age is moving through Industry 4.0 with massive technological developments. Supply chains have become digital, keeping sync with consumer demands and preferences. The recent pandemic has reinforced the need of embracing digital technologies in managing supply chains effectively. Therefore, it is necessary that supply chains adopt 5G mobile technologies. In this regard, the present study aims to discern the critical issues for the successful adaptation of 5G technologies for supply chain management (SCM) in developing countries such as India. The success factors for the adaptation of 5G in Indian supply chains are derived from the discussions made in the related past work regarding the challenges of implementing 5G technology. Then, the listed factors are finalised through initial rounds of face-to-face discussions with a focus group of five experts. Then, a q-rung-orthopair-fuzzy (qROFS)-based rating scale is used to rate the success factors. A new qROF-weighted-neutrality-average (q-ROFWNA)-based full-consistency method (FUCOM) approach for multicriteria decision-making (MCDM) problems involving group decision making is utilised to find out the critical success factors. Based on the comparative analysis of 17 success factors (grouped into four main factors), the spectrum availability, awareness of technology and usage, the development of supporting technologies and smart cities, and skill development are found to be the top five critical factors for the successful adaptation and implementation of 5G technologies in SCM. We further carry out a sensitivity analysis and validation test and observe that our model provides a reliable and stable solution.

Suggested Citation

  • Sanjib Biswas & Aparajita Sanyal & Darko Božanić & Adis Puška & Dragan Marinković, 2023. "Critical Success Factors for 5G Technology Adaptation in Supply Chains," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5539-:d:1103482
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/6/5539/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/6/5539/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dragisa STANUJKIC & Darjan KARABASEVIC & Gabrijela POPOVIC & Cipriana SAVA, 2021. "Simplified Pivot Pairwise Relative Criteria Importance Assessment (Piprecia-S) Method," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 141-154, December.
    2. Hutajulu, Sahat & Dhewanto, Wawan & Prasetio, Eko Agus, 2020. "Two scenarios for 5G deployment in Indonesia," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    3. Sanjib Biswas & Dragan Pamucar & Jayanta Nath Mukhopadhyaya, 2022. "A multi-criteria-based analytical study of the impact of COVID-19 on ELSS fund performance," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 21(4), pages 339-378.
    4. Alexandre Dolgui & Dmitry Ivanov, 2022. "5G in digital supply chain and operations management: fostering flexibility, end-to-end connectivity and real-time visibility through internet-of-everything," International Journal of Production Research, Taylor & Francis Journals, vol. 60(2), pages 442-451, January.
    5. Abhijit Saha & Arunodaya Raj Mishra & Pratibha Rani & Ibrahim M. Hezam & Fausto Cavallaro, 2022. "A q -Rung Orthopair Fuzzy FUCOM Double Normalization-Based Multi-Aggregation Method for Healthcare Waste Treatment Method Selection," Sustainability, MDPI, vol. 14(7), pages 1-28, March.
    6. Gülay Demir & Milanko Damjanović & Boško Matović & Radoje Vujadinović, 2022. "Toward Sustainable Urban Mobility by Using Fuzzy-FUCOM and Fuzzy-CoCoSo Methods: The Case of the SUMP Podgorica," Sustainability, MDPI, vol. 14(9), pages 1-27, April.
    7. 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)

    Citations

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


    Cited by:

    1. Alexandru Ionescu & Ana Maria Mihaela Iordache & Alexandra Andreea Mironescu & Vlad Gabriel Cârstea, 2023. "Streamlined Resilient Post-COVID-19 Supply Chain in Industry 4.0: A Case Study on Romania," Sustainability, MDPI, vol. 15(24), pages 1-26, December.

    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. 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.
    2. Boyu Liu & Xiameng Si & Haiyan Kang, 2022. "A Literature Review of Blockchain-Based Applications in Supply Chain," Sustainability, MDPI, vol. 14(22), pages 1-24, November.
    3. Aziz Barhmi & Omar Hajaji, 2023. "Multidisciplinary Approach to Supply Chain Resilience: Conceptualization and Scale Development," Central European Business Review, Prague University of Economics and Business, vol. 2023(5), pages 43-69.
    4. Ghanei, Shima & Contreras, Ivan & Cordeau, Jean-François, 2023. "A two-stage stochastic collaborative intertwined supply network design problem under multiple disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    5. 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).
    6. 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).
    7. Özden Tozanlı & Elif Kongar & Surendra M. Gupta, 2020. "Evaluation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the Era of Blockchain," Sustainability, MDPI, vol. 12(13), pages 1-33, July.
    8. Livio Cricelli & Serena Strazzullo, 2021. "The Economic Aspect of Digital Sustainability: A Systematic Review," Sustainability, MDPI, vol. 13(15), pages 1-15, July.
    9. Gohari, Adel & Ahmad, Anuar Bin & Balasbaneh, Ali Tighnavard & Gohari, Ali & Hasan, Razi & Sholagberu, Abdulkadir Taofeeq, 2022. "Significance of intermodal freight modal choice criteria: MCDM-based decision support models and SP-based modal shift policies," Transport Policy, Elsevier, vol. 121(C), pages 46-60.
    10. Sudhanshu Joshi & Manu Sharma, 2022. "A Literature Survey on Vaccine Supply Chain Management Amidst COVID-19: Literature Developments, Future Directions and Open Challenges for Public Health," World, MDPI, vol. 3(4), pages 1-28, October.
    11. Eleonora Di Maria & Valentina De Marchi & Ambra Galeazzo, 2022. "Industry 4.0 technologies and circular economy: The mediating role of supply chain integration," Business Strategy and the Environment, Wiley Blackwell, vol. 31(2), pages 619-632, February.
    12. Eryarsoy, Enes & Kilic, Huseyin Selcuk & Zaim, Selim & Doszhanova, Marzhan, 2022. "Assessing IoT challenges in supply chain: A comparative study before and during- COVID-19 using interval valued neutrosophic analytical hierarchy process," Journal of Business Research, Elsevier, vol. 147(C), pages 108-123.
    13. Abderahman Rejeb & Karim Rejeb & Imen Zrelli, 2024. "Analyzing Barriers to Internet of Things (IoT) Adoption in Humanitarian Logistics: An ISM–DEMATEL Approach," Logistics, MDPI, vol. 8(2), pages 1-27, April.
    14. Pérez-Mesa, Juan Carlos & García Barranco, Mª Carmen & Ciagnocavo, Cynthia & Hernández Rubio, Jesús, 2023. "Seeking new strategic options for promotion of intermodal transport in perishables: the use of Short Sea Shipping," MPRA Paper 119464, University Library of Munich, Germany, revised 2023.
    15. 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).
    16. Saurabh Sharma & Vijay Kumar Gahlawat & Kumar Rahul & Rahul S Mor & Mohit Malik, 2021. "Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics," Logistics, MDPI, vol. 5(4), pages 1-16, September.
    17. 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.
    18. Gupta, Shivam & Modgil, Sachin & Choi, Tsan-Ming & Kumar, Ajay & Antony, Jiju, 2023. "Influences of artificial intelligence and blockchain technology on financial resilience of supply chains," International Journal of Production Economics, Elsevier, vol. 261(C).
    19. Pfaff, Yuko Melanie & Birkel, Hendrik & Hartmann, Evi, 2023. "Supply chain governance in the context of industry 4.0: Investigating implications of real-life implementations from a multi-tier perspective," International Journal of Production Economics, Elsevier, vol. 260(C).
    20. Li, Guo & Xue, Jing & Li, Na & Ivanov, Dmitry, 2022. "Blockchain-supported business model design, supply chain resilience, and firm performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(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:gam:jsusta:v:15:y:2023:i:6:p:5539-:d:1103482. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.