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The importance of digital transformation (5.0) in supply chain optimization: an empirical study

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The topic of digital transformation in supply chain optimization has garnered considerable attention in recent years due to its importance. The purpose of the study was to offer empirical evidence and insights into the advantages and obstacles linked with digital transformation in supply chain manage-ment. To investigate the effects of digital transformation on supply chain optimization, the research employs a hybrid methodology and comprehensive approach that includes a thorough literature re-view, the creation of a theoretical framework, and the presentation of empirical finings through various case studies using the predefined selection criteria. The case analyses highlight crucial elements that support effective digital transformations, including real-time data analytics, teamwork, blockchain technology, digital twin augmented and virtual reality and collaborative robots. The practical implica-tions from the findings of this study, proffers insights that can be extremely helpful for professionals in various industrial sectors and businesses planning similar digital transformation journeys. This em-pirical study with regards to the implication of Digital transformation 5.0 on supply chain management is novel to the body of literature. It is however necessary to conduct more study to confirm the results, apply them to a wider range of businesses, and investigate different aspects of digital transformation in supply chain optimization.
Rocznik
Strony
127--135
Opis fizyczny
Bibliogr. 43 poz., rys., tab.
Twórcy
  • GOVCOPP, DEGEIT, University of Aveiro, 3810-193 Aveiro, Portugal
  • GOVCOPP, DEGEIT, University of Aveiro, 3810-193 Aveiro, Portugal
autor
  • GOVCOPP, DEGEIT, University of Aveiro, 3810-193 Aveiro, Portugal
  • GOVCOPP, DEGEIT, University of Aveiro, 3810-193 Aveiro, Portugal
  • ISEP, Polytechnic of Porto, R. Dr. António Bernardino de Almeida, 4249-015 Porto, Portugal. INEGI - Associate Laboratory for Energy, Transports and Aerospace, R. Dr. Roberto Frias 400, 4200-465 Porto, Portugal
Bibliografia
  • 1. Ahmed, T., Karmaker, C. L., Nasir, S. B., Moktadir, M. A., Paul, S. K., 2023. Modeling the artificial intelligence-based imperatives of industry 5.0 towards resilient supply chains: A post-COVID-19 pandemic perspec-tive. Computers & Industrial Engineering, 177, 109055.
  • 2. Akbari, M., Ha, N., Kok, S., 2022. A systematic review of AR/VR in operations and supply chain management: maturity, current trends and future directions. Journal of Global Operations and Strategic Sourcing, 15(4), 534-565.
  • 3. Alojaiman, B., 2023. Technological Modernizations in the Industry 5.0 Era: A Descriptive Analysis and Future Research Directions. Processes, 11(5), 1318.
  • 4. Angelopoulos, J., Mourtzis, D., 2022. An intelligent product service system for adaptive maintenance of Engineered-to-Order manufacturing equipment assisted by augmented reality. Applied Sciences, 12(11), 5349.
  • 5. Arunmozhi, M., Venkatesh, V. G., Arisian, S., Shi, Y., Sreedharan, V. R., 2022. Application of blockchain and smart contracts in autonomous vehicle supply chains: An experimental design. Transportation Research Part E: Logistics and Transportation Review, 165, 102864.
  • 6. Aslam, F., Aimin, W., Li, M., Ur Rehman, K., 2020. Innovation in the era of IoT and industry 5.0: Absolute innovation management (AIM) framework. Information, 11(2), 124.
  • 7. Belhadi, A., Kamble, S., Gunasekaran, A., Mani, V., 2022. Analyzing the me-diating role of organizational ambidexterity and digital business transfor-mation on industry 4.0 capabilities and sustainable supply chain performance. Supply Chain Management: An International Journal, 27(6), 696-711.
  • 8. Buń, P., Grajewski, D., Górski, F., 2021. Using augmented reality devices for remote support in manufacturing: A case study and analysis. Advances in Production Engineering & Management, 16(4).
  • 9. Chin, H., Marasini, D. P., Lee, D., 2023. Digital transformation trends in ser-vice industries. Service Business, 17(1), 11-36.
  • 10. Danuso, A., Giones, F., da Silva, E. R., 2022. The digital transformation of industrial players. Business Horizons, 65(3), 341-349.
  • 11. Das, S., Barve, A., Sahu, N. C., Muduli, K., 2023. Enabling artificial intelligence for sustainable food grain supply chains: an agri 5.0 and circular economy perspective. Operations Management Research, 1-21.
  • 12. de Assis Dornelles, J., Ayala, N. F., Frank, A. G., 2022. Smart Working in Industry 4.0: How digital technologies enhance manufacturing workers' activities. Computers & Industrial Engineering, 163, 107804.
  • 13. De Giovanni, P., 2023. Sustainability of the Metaverse: A transition to Industry 5.0. Sustainability, 15(7), 6079.
  • 14. Dwivedi, A., Agrawal, D., Jha, A., Mathiyazhagan, K., 2023. Studying the interactions among Industry 5.0 and circular supply chain: Towards at-taining sustainable development. Computers & Industrial Engineering, 176, 108927.
  • 15. Ebert, C., Duarte, C. H. C., 2018. Digital transformation. IEEE Softw., 35(4), 16-21.
  • 16. Feliciano-Cestero, M. M., Ameen, N., Kotabe, M., Paul, J., Signoret, M., 2023. Is digital transformation threatened? A systematic literature review of the factors influencing firms’ digital transformation and internationalization. Journal of Business Research, 157, 113546.
  • 17. Ghobakhloo, M., Iranmanesh, M., Morales, M. E., Nilashi, M., Amran, A., 2023. Actions and approaches for enabling Industry 5.0‐driven sustaina-ble industrial transformation: A strategy roadmap. Corporate Social Responsibility and Environmental Management, 30(3), 1473-1494.
  • 18. Hamidu, Z., Boachie-Mensah, F. O., Issau, K., 2023. Supply chain resilience and performance of manufacturing firms: role of supply chain disruption. Journal of Manufacturing Technology Management, 34(3), 361-382.
  • 19. Ivanov, D., 2023. Conceptualisation of a 7-element digital twin framework in supply chain and operations management. International Journal of Production Research, 1-13.
  • 20. Ivanov, D., 2023. Intelligent digital twin (iDT) for supply chain stresstesting, resilience, and viability. International Journal of Production Economics, 108938.
  • 21. Ivanov, D., 2023. The Industry 5.0 framework: Viability-based integration of the resilience, sustainability, and human-centricity perspectives. International Journal of Production Research, 61(5), 1683-1695.
  • 22. Karmaker, C. L., Bari, A. M., Anam, M. Z., Ahmed, T., Ali, S. M., de Jesus Pacheco, D. A., Moktadir, M. A., 2023. Industry 5.0 challenges for postpandemic supply chain sustainability in an emerging economy. International Journal of Production Economics, 258, 108806.
  • 23. Kraus, S., Jones, P., Kailer, N., Weinmann, A., Chaparro-Banegas, N., Roig-Tierno, N., 2021. Digital transformation: An overview of the current state of the art of research. Sage Open, 11(3), 21582440211047576.
  • 24. Lee, K., Azmi, N., Hanaysha, J., Alzoubi, H., Alshurideh, M: The effect of digital supply chain on organizational performance: An empirical study in Malaysia manufacturing industry. Uncertain Supply Chain Manage-ment, 10(2), 495-510 (2022).
  • 25. Lee, K., Azmi, N., Hanaysha, J., Alzoubi, H., Alshurideh, M: The effect of digital supply chain on organizational performance: An empirical study in Malaysia manufacturing industry. Uncertain Supply Chain Management, 10(2), 495-510 (2022).
  • 26. Li, G., Hou, Y., Wu, A., 2017. Fourth Industrial Revolution: technological drivers, impacts and coping methods. Chinese Geographical Science, 27, 626-637.
  • 27. Lo, H. W., 2023. A data-driven decision support system for sustainable supplier evaluation in the industry 5.0 era: A case study for medical equipment manufacturing. Advanced Engineering Informatics, 56, 101998.
  • 28. Lv, Z., 2023. Digital Twins in Industry 5.0. Research, 6, 0071.
  • 29. Madzík, P., Falát, L., Copuš, L., Valeri, M., 2023. Digital transformation in tourism: bibliometric literature review based on machine learning approach. European Journal of Innovation Management, 26(7), 177-205.
  • 30. Matenga, A.E.; Mpofu, K. Blockchain-Based Cloud Manufacturing SCM System for Collaborative Enterprise Manufacturing: A Case Study of Transport Manufacturing. Appl. Sci. 2022, 12, 8664. DOI: 10.3390/app12178664
  • 31. Mihai, S., Yaqoob, M., Hung, D. V., Davis, W., Towakel, P., Raza, M., ... Nguyen, H. X., 2022. Digital twins: A survey on enabling technologies, challenges, trends and future prospects. IEEE Communications Surveys & Tutorials.
  • 32. Modgil, S., Singh, R. K., Agrawal, S., 2023. Developing human capabilities for supply chains: an industry 5.0 perspective. Annals of Operations Research, 1-31.
  • 33. Pasandideh, S., Pereira, P., Gomes, L., 2022. Cyber-physical-social systems: Taxonomy, challenges, and opportunities. IEEE Access, 10, 42404-42419.
  • 34. Romanov, D., Korostynska, O., Lekang, O. I., Mason, A., 2022. Towards hu-man-robot collaboration in meat processing: Challenges and possibilities. Journal of Food Engineering, 331, 111117.
  • 35. Shi, Y., Venkatesh, V. G., Venkatesh, M., Fosso Wamba, S., Wang, B., 2023. Guest editorial: Digital transformation in supply chains: challenges, strategies and implementations. International Journal of Physical Distribution & Logistics Management, 53(4), 381-386.
  • 36. Skobelev, P. O., Borovik, S. Y., 2017. On the way from Industry 4.0 to Indus-try 5.0: From digital manufacturing to digital society. Industry 4.0, 2(6), 307-311.
  • 37. Stewart, M., Ivanov, D., 2022. Design redundancy in agile and resilient humanitarian supply chains. Annals of Operations Research, 319(1), 633-65
  • 38. Tiwari, S., Bahuguna, P. C., Walker, J., 2022. Industry 5.0: A macroperspective approach. In Handbook of Research on Innovative Management Using AI in Industry 5.0 (pp. 59-73. IGI Global.
  • 39. Xian, W., Yu, K., Han, F., Fang, L., He, D., Han, Q. L., 2023. Advanced Manufacturing in Industry 5.0: A Survey of Key Enabling Technologies and Future Trends. IEEE Transactions on Industrial Informatics.
  • 40. Yang, M., Fu, M., Zhang, Z., 2021. The adoption of digital technologies in supply chains: Drivers, process and impact. Technological Forecasting and Social Change, 169, 120795.
  • 41. Zhang, G., Yang, Y., Yang, G., 2023. Smart supply chain management in In-dustry 4.0: the review, research agenda and strategies in North America. Annals of Operations Research, 322(2), 1075-1117.
  • 42. Zhang, X., Li, Z., Li, G., 2023. Impacts of blockchain-based digital transition on cold supply chains with a thirdparty logistics service provider. Transportation Research Part E: Logistics and Transportation Review, 170, 103014.
  • 43. Zouari, D., Ruel, S., Viale, L., 2021. Does digitalising the supply chain con-tribute to its resilience?. International Journal of Physical Distribution & Logistics Management, 51(2), 149-180.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-2f451cde-7818-4c98-bd4e-3fff0ed2f57f
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