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Digitalization in the Reverse Supply Chain: A Bibliometric Analysis

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Background: This article analyzes scientific sources on the process of digitalization in the reverse supply chain. Its aim is to comprehensively investigate and analyze the transformative potential of digitalization in the context of the reverse supply chain. By exploring the utilization of digital technologies such as the Internet of Things (IoT), data analytics, artificial intelligence (AI), and blockchain, the study aims to uncover opportunities for enhancing the efficiency, sustainability, and environmental responsibility of reverse supply chain processes. A significant number of studies on this topic have been published in scientific journals such as Sustainability, Business Strategy and the Environment and the International Journal Of Production Economics. The most cited authors were identified, including Gupta and Yu. Among the main countries where such research has been conducted are China, the United States, the United Kingdom, India and Pakistan. Methods: The study included a literature review, evaluation, analysis and mapping, which allowed the authors to identify certain trends. The Scopus database was used for this purpose, and the selected articles were analyzed using MS Excel and VOSviewer. Initially, 297 documents were identified, and 82 articles remained after exclusions. Results: The findings of the study emphasize the growing interest in this topic, the increasing number of related scientific publications, and the importance of the sustainable use of resources in the reverse supply chain.
Czasopismo
Rocznik
Strony
683--702
Opis fizyczny
Bibliogr. 61 poz., rys., tab., wykr.
Twórcy
  • Department of International Economics, Faculty of Management and Marketing, National Technical University of Ukraine, “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine
  • Department of Management of Enterprises, Faculty of Management and Marketing, National Technical University of Ukraine, “Igor Sikorsky Kyiv Polytechnic Institute”, Ukraine
Bibliografia
  • 1. Alcayaga, A., Wiener, M., & Hansen, E. G. (2019). Towards a framework of smart-circular systems: An integrative literature review. Journal of Cleaner Production, 221, 622-634. https://www.doi.org/10.1016/j.jclepro.2019.02.085
  • 2. Alqahtani, A. Y., Gupta, S. M., & Nakashima, K. (2019). Warranty and maintenance analysis of sensor embedded products using the Internet of Things in Industry 4.0. International Journal of Production Economics, 208, 483-499. https://www.doi.org/10.1016/j.ijpe.2018.12.022
  • 3. Bag, S., Dhamija, P., Gupta, S., & Sivarajah, U. (2021). Examining the role of procurement 4.0 towards remanufacturing operations and circular economy. Production Planning and Control, 32(16), 1368-1383. https://www.doi.org/10.1080/09537287.2020.1817602
  • 4. Bajar, K., Kamat, A., Shanker, S., & Barve, A. (2022). Blockchain technology: A catalyst for reverse logistics of the automobile industry. Smart and Sustainable Built Environment, https://www.doi.org/10.1108/SASBE-11-2021-0203
  • 5. Bekrar, A., Cadi, A. A. E., Todosijevic, R., & Sarkis, J. (2021). Digitalizing the closing-of-the-loop for supply chains: A transportation and blockchain perspective. Sustainability (Switzerland), 13(5), 1-25. https://www.doi.org/10.3390/su13052895
  • 6. Camacho-Otero, J., Boks, C., & Pettersen, I. N. (2018). Consumption in the circular economy: A literature review. Sustainability (Switzerland), 10(8) https://www.doi.org/10.3390/su10082758
  • 7. Centobelli, P., Cerchione, R., Vecchio, P. D., Oropallo, E., & Secundo, G. (2022). Blockchain technology for bridging trust, traceability and transparency in the circular supply chain. Information and Management, 59(7) https://www.doi.org/10.1016/j.im.2021.103508
  • 8. Charnley, F., Tiwari, D., Hutabarat, W., Moreno, M., Okorie, O., & Tiwari, A. (2019). Simulation to enable a data-driven circular economy. Sustainability (Switzerland), 11(12) https://www.doi.org/10.3390/su10023379
  • 9. Cheshmberah, M., & Beheshtikia, S. (2020). Supply chain management maturity: An all-encompassing literature review on models, dimensions and approaches. [Dojrzałość zarządzania łańcuchem dostaw: Przegląd literatury w kontekście modeli, wymiarów oraz ujęcia tematyki] Logforum, 16(1), 103-116. https://www.doi.org/10.17270/J.LOG.2020.377
  • 10. De Giovanni, P. (2022). Leveraging the circular economy with a closed-loop supply chain and a reverse omnichannel using blockchain technology and incentives. International Journal of Operations and Production Management, 42(7), 959-994. https://www.doi.org/10.1108/IJOPM-07-2021-0445
  • 11. Dev, N. K., Shankar, R., Zacharia, Z. G., & Swami, S. (2021). Supply chain resilience for managing the ripple effect in industry 4.0 for green product diffusion. International Journal of Physical Distribution and Logistics Management, 51(8), 897-930. https://www.doi.org/10.1108/IJPDLM-04-2020-0120
  • 12. Difrancesco, R. M., Meena, P., & Kumar, G. (2022). How blockchain technology improves sustainable supply chain processes: A practical guide. Operations Management Research, https://www.doi.org/10.1007/s12063-022-00343-y
  • 13. Eldrandaly, K. A., El Saber, N., Mohamed, M., & Abdel-Basset, M. (2022). Sustainable manufacturing evaluation based on enterprise industry 4.0 technologies. Sustainability (Switzerland), 14(12) https://www.doi.org/10.3390/su14127376
  • 14. Fang, C., Liu, X., Pei, J., Fan, W., & Pardalos, P. M. (2016). Optimal production planning in a hybrid manufacturing and recovering system based on the Internet of things with closed loop supply chains. Operational Research, 16(3), 543-577. https://www.doi.org/10.1007/s12351-015-0213-x
  • 15. Feng, Y., Lai, K. -., & Zhu, Q. (2022). Green supply chain innovation: Emergence, adoption, and challenges. International Journal of Production Economics, 248 https://www.doi.org/10.1016/j.ijpe.2022.108497
  • 16. Fiorini, P. C., Chiappetta Jabbour, C. J., Latan, H., de Sousa Jabbour, A. B. L., & Mariano, E. B. (2022). Green emerging digital technologies, green supply chains, and the performance of environmentally friendly firms: The underpinning role of human resources. IEEE Transactions on Engineering Management, 1-15. https://www.doi.org/10.1109/TEM.2022.3210470
  • 17. Franchina, L., Calabrese, A., Inzerilli, G., Scatto, E., Brutti, G., & de los Ángeles Bonanni, M. V. (2021). Thinking green: The role of smart technologies in transforming cities’ waste and supply chain's flow. Cleaner Engineering and Technology, 2 https://www.doi.org/10.1016/j.clet.2021.100077
  • 18. Garrido-Hidalgo, C., Ramirez, F. J., Olivares, T., & Roda-Sanchez, L. (2020). The adoption of internet of things in a circular supply chain framework for the recovery of WEEE: The case of lithium-ion electric vehicle battery packs. Waste Management, 103, 32-44. https://www.doi.org/10.1016/j.wasman.2019.09.045
  • 19. Gayialis, S. P., Kechagias, E. P., Konstantakopoulos, G. D., & Papadopoulos, G. A. (2022). A predictive maintenance system for reverse supply chain operations. Logistics, 6(1) https://www.doi.org/10.3390/logistics6010004
  • 20. Gu, Y., & Liu, Q. (2013). Research on the application of the internet of things in reverse logistics information management. Journal of Industrial Engineering and Management, 6(4), 963-973. https://www.doi.org/10.3926/jiem.793
  • 21. Hrouga, M., Sbihi, A., & Chavallard, M. (2022). The potentials of combining blockchain technology and internet of things for digital reverse supply chain: A case study. Journal of Cleaner Production, 337 https://www.doi.org/10.1016/j.jclepro.2022.130609
  • 22. Ijuin, H., Kinoshita, Y., Yamada, T., & Ishigaki, A. (2021). Designing individual material recovery in reverse supply chain using linear physical programming at the digital transformation edge. Journal of Japan Industrial Management Association, 72(4 E), 259-271. https://www.doi.org/10.11221/jima.72.259
  • 23. Ingemarsdotter, E., Jamsin, E., Kortuem, G., & Balkenende, R. (2019). Circular strategies enabled by the internet of things-a framework and analysis of current practice. Sustainability (Switzerland), 11(20) https://www.doi.org/10.3390/su11205689
  • 24. Joshi, A. D., & Gupta, S. M. (2019). Evaluation of design alternatives of end-of-life products using internet of things. International Journal of Production Economics, 208, 281-293. https://www.doi.org/10.1016/j.ijpe.2018.12.010
  • 25. Kazancoglu, Y., Ozbiltekin-Pala, M., Sezer, M. D., Luthra, S., & Kumar, A. (2022). Resilient reverse logistics with blockchain technology in sustainable food supply chain management during COVID-19. Business Strategy and the Environment, https://www.doi.org/10.1002/bse.3251
  • 26. Khan, S. A. R., Godil, D. I., Jabbour, C. J. C., Shujaat, S., Razzaq, A., & Yu, Z. (2021a). Green data analytics, blockchain technology for sustainable development, and sustainable supply chain practices: Evidence from small and medium enterprises. Annals of Operations Research, https://www.doi.org/10.1007/s10479-021-04275-x
  • 27. Khan, S. A. R., Razzaq, A., Yu, Z., & Miller, S. (2021b). Industry 4.0 and circular economy practices: A new era business strategies for environmental sustainability. Business Strategy and the Environment, 30(8), 4001-4014. https://www.doi.org/10.1002/bse.2853
  • 28. Kouhizadeh, M., & Sarkis, J. (2018). Blockchain practices, potentials, and perspectives in greening supply chains. Sustainability (Switzerland), 10(10) https://www.doi.org/10.3390/su10103652
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  • 30. Krstić, M., Agnusdei, G. P., Miglietta, P. P., & Tadić, S. (2022a). Evaluation of the smart reverse logistics development scenarios using a novel MCDM model. Cleaner Environmental Systems, 7 https://www.doi.org/10.1016/j.cesys.2022.100099
  • 31. Krstić, M., Agnusdei, G. P., Miglietta, P. P., & Tadić, S. (2022b). Logistics 4.0 toward circular economy in the agri-food sector. Sustainable Futures, 4 https://www.doi.org/10.1016/j.sftr.2022.100097
  • 32. Krstić, M., Agnusdei, G. P., Miglietta, P. P., Tadić, S., & Roso, V. (2022c). Applicability of industry 4.0 technologies in the reverse logistics: A circular economy approach based on COmprehensive distance based RAnking (COBRA) method. Sustainability (Switzerland), 14(9) https://www.doi.org/10.3390/su14095632
  • 33. Lerman, L. V., Benitez, G. B., Müller, J. M., de Sousa, P. R., & Frank, A. G. (2022). Smart green supply chain management: A configurational approach to enhance green performance through digital transformation. Supply Chain Management, 27(7), 147-176. https://www.doi.org/10.1108/SCM-02-2022-0059
  • 34. Long, Y., Feng, T., Fan, Y., & Liu, L. (2022). Adopting blockchain technology to enhance green supply chain integration: The moderating role of organizational culture. Business Strategy and the Environment, https://www.doi.org/10.1002/bse.3302
  • 35. Ma, D., & Hu, J. (2022). The optimal combination between blockchain and sales format in an internet platform-based closed-loop supply chain. International Journal of Production Economics, 254 https://www.doi.org/10.1016/j.ijpe.2022.108633
  • 36. Mubarik, M., Raja Mohd Rasi, R. Z., Mubarak, M. F., & Ashraf, R. (2021). Impact of blockchain technology on green supply chain practices: Evidence from emerging economy. Management of Environmental Quality: An International Journal, 32(5), 1023-1039. https://www.doi.org/10.1108/MEQ-11-2020-0277
  • 37. Munir, M. A., Habib, M. S., Hussain, A., Shahbaz, M. A., Qamar, A., Masood, T., . . . Salman, C. A. (2022). Blockchain adoption for sustainable supply chain management: Economic, environmental, and social perspectives. Frontiers in Energy Research, 10 https://www.doi.org/10.3389/fenrg.2022.899632
  • 38. Niu, B., Xu, H., & Chen, L. (2022). Creating all-win by blockchain in a remanufacturing supply chain with consumer risk-aversion and quality untrust. Transportation Research Part E: Logistics and Transportation Review, 163 https://www.doi.org/10.1016/j.tre.2022.102778
  • 39. Okorie, O., Charnley, F., Ehiagwina, A., Tiwari, D., & Salonitis, K. (2020). Towards a simulation-based understanding of smart remanufacturing operations: A comparative analysis. Journal of Remanufacturing, https://www.doi.org/10.1007/s13243-020-00086-8
  • 40. Papanagnou, C. I. (2022). Measuring and eliminating the bullwhip in closed loop supply chains using control theory and internet of things. Annals of Operations Research, 310(1), 153-170. https://www.doi.org/10.1007/s10479-021-04136-7
  • 41. Parry, G. C., Brax, S. A., Maull, R. S., & Ng, I. C. L. (2016). Operationalising IoT for reverse supply: The development of use-visibility measures. Supply Chain Management, 21(2), 228-244. https://www.doi.org/10.1108/SCM-10-2015-0386
  • 42. Pathak, U., Kant, R., & Shankar, R. (2022). Modelling closed-loop dual-channel supply chain: A game-theoretic approach to maximize the profit. Cleaner Logistics and Supply Chain, 4 https://www.doi.org/10.1016/j.clscn.2022.100064
  • 43. Pratapa, P., Subramoniam, R., & Gaur, J. (2022). Role of standards as an enabler in a digital remanufacturing industry. Sustainability (Switzerland), 14(3) https://www.doi.org/10.3390/su14031643
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  • 45. Rane, S. B., Thakker, S. V., & Kant, R. (2021). Stakeholders' involvement in green supply chain: A perspective of blockchain IoT-integrated architecture. Management of Environmental Quality: An International Journal, 32(6), 1166-1191. https://www.doi.org/10.1108/MEQ-11-2019-0248
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-fe7de5a6-f6af-4610-b627-a98e7b951732
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