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Green supply chain and green logistics: a bibliometric identification of key research areas

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The aim of the research is to identify the most frequently undertaken research areas in scientific publications addressing the issues of green supply chain and green logistics simultaneously. Design/methodology/approach: The study was planned and carried out in the period from April to August 2024. The analyzed research areas were expressed through author keywords, which were assigned to individual scientific publications through their authors. The multi-stage research process used two methods for bibliometric research (systematic literature review and classical literature review). Author keywords assigned to 111 precisely selected scientific publications were analyzed. Findings: Nine of the most frequently addressed research areas in scientific publications that simultaneously addressed green supply chain and green logistics were identified. In terms of as many as three identified research areas, there was a direct reference to the supply chain (green supply chain, green supply chain management, supply chain management). In turn, in two areas there was a reference to sustainability issues (environmental sustainability, sustainability). In addition, the issue of reverse logistics was identified as a key research area and at the same time corresponding to the issue of green logistics. Research limitations/implications: An important factor limiting the study was the choice of database for bibliometric analyses (Scopus database). In addition, the scope of the analyses undertaken was limited to the constructed bibliometric query (Q1). However, both aspects indicated simultaneously made it possible to obtain precise and consistent results of the analyses. Moreover, it becomes possible to repeat the study in the future and compare it with other constructed studies aimed at literature review. Originality/value: The study, compared to other such bibliometric analyses, is distinguished by the syntax of the constructed query. In addition, it was noted that research should be undertaken in learning more about the role and importance of logistics and supply chain greening for emerging green business ecosystems. Other relevant areas are the question of green job creation due to the greening of supply chains, or how the green skills gap affects the process of green supply chain and green logistics. The article is addressed to anyone interested in issues related to green supply chain and green logistics.
Rocznik
Tom
Strony
189--207
Opis fizyczny
Bibliogr. 69 poz.
Twórcy
  • University of Lodz, Faculty of Economics and Sociology
  • University of Lodz, Faculty of Economics and Sociology
  • Student of Logistics in the economy, University of Lodz, Faculty of Economics and Sociology
  • Student of Logistics in the economy, University of Lodz, Faculty of Economics and Sociology
  • Student of Logistics in the economy, University of Lodz, Faculty of Economics and Sociology
Bibliografia
  • 1. Abdallah, A.B., Al-Ghwayeen, W.S. (2020). Green supply chain management and business performance: The mediating roles of environmental and operational performances. Business Process Management Journal, 26(2), 489-512. https://doi.org/10.1108/BPMJ-03-2018-0091
  • 2. Abdullah, R., Mat Daud, M.S., Ahmad, F., Shukti, A.A., Shah, M.Z. (2016). Green logistics adoption among 3PL companies. International Journal of Supply Chain Management, 5(3), 82-85.
  • 3. Al-Minhas, U., Ndubisi, N.O., Barrane, F. Z. (2020). Corporate environmental management. Management of Environmental Quality: An International Journal, 31(2), 431-450. https://doi.org/10.1108/MEQ-07-2019-0161
  • 4. Baas, J., Schotten, M., Plume, A., Côté, G., Karimi, R. (2020). Scopus as a curated, high-quality bibliometric data source for academic research in quantitative science studies. Quantitative Science Studies, 1(1), 377-386. https://doi.org/10.1162/qss_a_00019
  • 5. Banasik, A., Bloemhof-Ruwaard, J.M., Kanellopoulos, A., Claassen, G.D.H., van der Vorst, J.G.A.J. (2018). Multi-criteria decision making approaches for green supply chains: a review. Flexible Services and Manufacturing Journal, 30(3), 366-396. https://doi.org/10.1007/s10696-016-9263-5
  • 6. Chen, S.-L., Lee, Y.-H., Diep, G.L., Tran, T.K., Pham, T.H.A., Nguyen, T.T.H. (2023). Developing green logistic services management to achieve sustainable development in Vietnam: the role of green construction practices, green social awareness and green innovation. Environmental Science and Pollution Research, 30(43), 97267-97280. https://doi.org/10.1007/s11356-023-29021-7
  • 7. Chhabra, D., Garg, S.K., Singh, R.K. (2017). Analyzing alternatives for green logistics in an Indian automotive organization: A case study. Journal of Cleaner Production, 167, 962-969. https://doi.org/10.1016/j.jclepro.2017.02.158
  • 8. Cvirik, M., Daneshjo, N. (2022). The Construction of the Green Distribution Model and its Application on Consumers Perception. Management and Production Engineering Review, 13(2), 71-80. https://doi.org/10.24425/mper.2022.142056
  • 9. de Assis Silva, W., Seleme, R., Zattar, I.C., Marques, M.A.M., Drozda, F.O., Kleina, M. (2021). Barriers regarding environmental sustainability in civil construction logistics in Curitiba/PR. Revista de Gestao Ambiental e Sustentabilidade, 10(1), e16148. https://doi.org/10.5585/geas.v10i1.16148
  • 10. de Oliveira, U.R., Espindola, L.S., da Silva, I.R., da Silva, I.N., Rocha, H.M. (2018). A systematic literature review on green supply chain management: Research implications and future perspectives. Journal of Cleaner Production, 187, 537-561. https://doi.org/10.1016/j.jclepro.2018.03.083
  • 11. de Souza, E.D., Kerber, J.C., Bouzon, M., Rodriguez, C.M.T. (2022). Performance evaluation of green logistics: Paving the way towards circular economy. Cleaner Logistics and Supply Chain, 3, 100019. https://doi.org/10.1016/j.clscn.2021.100019
  • 12. Derse, O. (2024). Prioritizing solutions of green Reverse logistics barriers with Fuzzy DEMATEL - FUCOM - SWARA methods. Ecological Indicators, 165, 112198. https://doi.org/10.1016/j.ecolind.2024.112198
  • 13. Dudin, M.N., Frolova, Y.Y., Artemyeva, Y.A., Bezbakh, V.V., Shakirov, S.S. (2016). Business entities within the agro-industrial sector and present-day trends in "green" logistics in a climate of transformation of the world economy. International Journal of Economic Research, 13(6), 2379-2390.
  • 14. Dzwigol, H., Trushkina, N., Kwilinski, A. (2021). The Organizational and Economic Mechanism of Implementing the Concept of Green Logistics. Virtual Economics, 4(2), 41-75. https://doi.org/10.34021/ve.2021.04.02(3)
  • 15. Evangelista, P., Santoro, L., Thomas, A. (2018). Environmental Sustainability in Third-Party Logistics Service Providers: A Systematic Literature Review from 2000-2016. Sustainability, 10(5), 1627. https://doi.org/10.3390/su10051627
  • 16. Fahimnia, B., Bell, M.G.H., Hensher, D.A., Sarkis, J. (2015a). The Future of Green Logistics and Transportation. Greening of Industry Networks Studies, Vol. 4. Springer, pp. 193-197. https://doi.org/10.1007/978-3-319-17181-4_12
  • 17. Fahimnia, B., Bell, M.G.H., Hensher, D.A., Sarkis, J. (2015b). The Role of Green Logistics and Transportation in Sustainable Supply Chains. Greening of Industry Networks Studies, Vol. 4. Springer: pp. 1-12). https://doi.org/10.1007/978-3-319-17181-4_1
  • 18. Grzesiak, S.S., Sulich, A. (2023). Electromobility: Logistics and Business Ecosystem Perspectives Review. Energies, Vol. 16, Iss. 21. Multidisciplinary Digital Publishing Institute, p. 7249. https://doi.org/10.3390/en16217249
  • 19. Guo, M., Peng, F. (2023). A Survey of Green Development Level for Logistics Enterprises based on Likert Scale using the R Language. Proceedings of 2023 IEEE 3rd International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2023, 1156-1159. https://doi.org/10.1109/ICIBA56860.2023.10164958
  • 20. Gupta, H., Shreshth, K., Kharub, M., Kumar, A. (2023). Strategies to overcome challenges to smart sustainable logistics: a Bayesian-based group decision-making approach. Environment, Development and Sustainability, 26(5), 11743-11770. https://doi.org/10.1007/s10668-023-03477-6
  • 21. Hazen, B.T., Cegielski, C., Hanna, J.B. (2011). Diffusion of green supply chain management. The International Journal of Logistics Management, 22(3), 373-389. https://doi.org/10.1108/09574091111181372
  • 22. Hu, W., Dong, J., Hwang, B., Ren, R., Chen, Z. (2019). A Scientometrics Review on City Logistics Literature: Research Trends, Advanced Theory and Practice. Sustainability, 11(10), 2724. https://doi.org/10.3390/su11102724
  • 23. Jayarathna, C.P., Agdas, D., Dawes, L. (2024). Perceived relationship between green logistics practices and sustainability performance: a multi-methodology approach. The International Journal of Logistics Management, 35(5), 1522-1548. https://doi.org/10.1108/IJLM-09-2022-0367
  • 24. Jazairy, A. (2020). Aligning the purchase of green logistics practices between shippers and logistics service providers. Transportation Research Part D: Transport and Environment, 82, 102305. https://doi.org/10.1016/j.trd.2020.102305
  • 25. Jazairy, A., von Haartman, R. (2020). Analysing the institutional pressures on shippers and logistics service providers to implement green supply chain management practices. International Journal of Logistics Research and Applications, 23(1), 44-84. https://doi.org/10.1080/13675567.2019.1584163
  • 26. Jazairy, A., von Haartman, R., Björklund, M. (2021). Unravelling collaboration mechanisms for green logistics: the perspectives of shippers and logistics service providers. International Journal of Physical Distribution & Logistics Management, 51(4), 423-448. https://doi.org/10.1108/IJPDLM-09-2019-0274
  • 27. Karunakaran, S.K., Narayanan, R., Anand, M.D., Santhi, N. (2023). Determination of Sustainable Factors in Green Supply Chain Management With the Adoption of Green Logistics in the Manufacturing Industry. Environmental Claims Journal, 35(4), 367-387. https://doi.org/10.1080/10406026.2024.2347650
  • 28. Khan, S.A.R., Dong, Q., Zhang, Y., Khan, S.S. (2017). The Impact of Green Supply Chain on Enterprise Performance: In the Perspective of China. Journal of Advanced Manufacturing Systems, 16(03), 263-273. https://doi.org/10.1142/S0219686717500160
  • 29. Khan, S.A.R., Jian, C., Zhang, Y., Golpîra, H., Kumar, A., Sharif, A. (2019). Environmental, social and economic growth indicators spur logistics performance: From the perspective of South Asian Association for Regional Cooperation countries. Journal of Cleaner Production, 214, 1011-1023. https://doi.org/10.1016/ j.jclepro.2018.12.322
  • 30. Khan, S.A.R., Zhang, Y., Nathaniel, S. (2020). Green supply chain performance and environmental sustainability: A panel study. Logforum, 16(1), 141-159. https://doi.org/10.17270/J.LOG.2020.394
  • 31. Khayyat, M., Balfaqih, M., Balfaqih, H., Ismail, M. (2024). Challenges and Factors Influencing the Implementation of Green Logistics: A Case Study of Saudi Arabia. Sustainability, 16(13), 5617. https://doi.org/10.3390/su16135617
  • 32. Korucuk, S., Aytekin, A., Ecer, F., Pamucar, D.S.S., Karamaşa, Ç. (2023). Assessment of ideal smart network strategies for logistics companies using an integrated picture fuzzy LBWA-CoCoSo framework. Management Decision, 61(5), 1434-1462. https://doi.org/10.1108/MD-12-2021-1621
  • 33. Kozar, Ł.J., Bolimowski, S. (2024). Exposing greenwashing: a catalyst for green economy development. Zeszyty Naukowe Politechniki Śląskiej. Organizacja i Zarządzanie, 197, 365-385. https://doi.org/http://dx.doi.org/10.29119/1641-3466.2024.197.21
  • 34. Kozar, Ł.J., Jankowski, Ł., Cwajda, R., Gradek, Ł., Goszczyńska, A.D. (2023). Opakowania w procesie zazielenienia łańcucha dostaw. Współczesne wyzwania transportu, spedycji oraz logistyki - wybrane aspekty. Wydawnictwo Uniwersytetu Łódzkiego. https://doi.org/10.18778/8331-350-4.2
  • 35. Lam, H.L., How, B.S., Hong, B.H. (2015). Green supply chain toward sustainable industry development. Assessing and Measuring Environmental Impact and Sustainability, 409-449. https://doi.org/10.1016/B978-0-12-799968-5.00012-9
  • 36. Liu, C., Hong, T., Guo, M. (2023). Optimization Method of Green Logistics Route Based on Computer Intelligent Technology. Wireless Personal Communications. https://doi.org/10.1007/s11277-023-10509-x
  • 37. Liu, J., Yuan, C., Hafeez, M., Yuan, Q. (2018). The relationship between environment and logistics performance: Evidence from Asian countries. Journal of Cleaner Production, 204, 282-291. https://doi.org/10.1016/j.jclepro.2018.08.310
  • 38. Lou, P., Zhou, Z., Zeng, Y., Fan, C. (2024). Vehicle routing problem with time windows and carbon emissions: a case study in logistics distribution. Environmental Science and Pollution Research, 31(29), 41600-41620. https://doi.org/10.1007/s11356-024-31927-9
  • 39. Lu, Y., Li, S. (2023). Green Transportation Model in Logistics Considering the Carbon Emissions Costs Based on Improved Grey Wolf Algorithm. Sustainability, 15(14), 11090. https://doi.org/10.3390/su151411090
  • 40. Ma, R., Kim, Y.J. (2023). Tracing the evolution of green logistics: A latent dirichlet allocation based topic modeling technology and roadmapping. PLoS ONE, 18(8 August). https://doi.org/10.1371/journal.pone.0290074
  • 41. Micheli, G.J.L., Cagno, E., Mustillo, G., Trianni, A. (2020). Green supply chain management drivers, practices and performance: A comprehensive study on the moderators. Journal of Cleaner Production, 259, 121024. https://doi.org/10.1016/j.jclepro.2020.121024
  • 42. Mousazadeh, M., Torabi, S.A., Pishvaee, M.S. (2014). Green and Reverse Logistics Management Under Fuzziness. Studies in Fuzziness and Soft Computing, Vol. 313. Springer Verlag, pp. 607-637. https://doi.org/10.1007/978-3-642-53939-8_26
  • 43. Nikoloski, D., Sulich, A., Sołoducho-Pelc, L., Mancheski, G., Angelski, M., Petkoska, M.M. (2024). Identifying green skills gaps through labor market intelligence. Journal of Infrastructure, Policy and Development, 8(6), 4868. https://doi.org/10.24294/ jipd.v8i6.4868
  • 44. Nikseresht, A., Golmohammadi, D., Zandieh, M. (2024). Sustainable green logistics and remanufacturing: a bibliometric analysis and future research directions. International Journal of Logistics Management, Vol. 35, Iss. 3. Emerald Publishing, pp. 755-803. https://doi.org/10.1108/IJLM-03-2023-0085
  • 45. Noiki, A.A., Salawu, E.Y., Afolalu, S.A., Kayode, J.F., Lawal, S.L. (2023). Green Supply Chain Management: Impacts, Challenges, Opportunities, and Future Perspectives. 2023 International Conference on Science, Engineering and Business for Sustainable Development Goals (SEB-SDG), 1-10. https://doi.org/10.1109/SEB-SDG57117.2023.10124618
  • 46. Osintsev, N.A. (2022). Multi-Criteria Decision-Making Methods in Green Logistics. World of Transport and Transportation, 19(5), 105-114. https://doi.org/10.30932/1992-3252-2021-19-5-13
  • 47. Ouni, M., Ben Abdallah, K. (2024). Environmental sustainability and green logistics: Evidence from BRICS and Gulf countries by cross-sectionally augmented autoregressive distributed lag (CS-ARDL) approach. Sustainable Development, 32(4), 3753-3770. https://doi.org/10.1002/sd.2856
  • 48. Panghal, A.P.A., Vern, P., Mor, R.S. (2024). Adoption barriers to green logistics in the Indian food industry: A circular economy perspective. International Social Science Journal, 74(252), 519-538. https://doi.org/10.1111/issj.12466
  • 49. Pavlova, M. (2018). Fostering inclusive, sustainable economic growth and "green" skills development in learning cities through partnerships. International Review of Education, 64(3), 339-354. https://doi.org/10.1007/s11159-018-9718-x
  • 50. Perboli, G., Rosano, M. (2019). Parcel delivery in urban areas: Opportunities and threats for the mix of traditional and green business models. Transportation Research Part C: Emerging Technologies, 99, 19-36. https://doi.org/10.1016/j.trc.2019.01.006
  • 51. Prataviera, L.B., Creazza, A., Perotti, S. (2024). A call to action: a stakeholder analysis of green logistics practices. The International Journal of Logistics Management, 35(3), 979-1008. https://doi.org/10.1108/IJLM-09-2022-0381
  • 52. Qu, Q., Tang, M., Liu, Q., Song, W., Zhang, F., Wang, W. (2017). Empirical research on the core factors of green logistics development. Academy of Strategic Management Journal, 16(2).
  • 53. Ramli, E., Zainudin, D., Islam, R. (2022). Explore the Research Trends of Green Supply Chain in the Manufacturing Industry: A Bibliometric Analysis. Operations and Supply Chain Management: An International Journal, 15(3), 345-358. https://doi.org/10.31387/ oscm0500351
  • 54. Rapp, A., Simonovic, A.L., Large, R.O. (2024). A case study-based analysis of environmental strategies among German Logistics Service Providers. Supply Chain Forum: An International Journal, 25(2), 148-164. https://doi.org/10.1080/16258312.2023.2253137
  • 55. Rehman Khan, S.A., Zhang, Y., Anees, M., Golpîra, H., Lahmar, A., Qianli, D. (2018). Green supply chain management, economic growth and environment: A GMM based evidence. Journal of Cleaner Production, 185, 588-599. https://doi.org/10.1016/j.jclepro. 2018.02.226
  • 56. Roy, S., Mohanty, R.P. (2024). Green logistics operations and its impact on supply chain sustainability: An empirical study. Business Strategy and the Environment, 33(2), 1447-1476. https://doi.org/10.1002/bse.3531
  • 57. Saengsathien, A., Namchimplee, K. (2022). Green point-to-point logistics at Kalasin: A case study of rice transportation. Engineering and Applied Science Research, 49(6), 772-779. https://doi.org/10.14456/easr.2022.75
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  • 60. Setyadi, A., Akbar, Y.K., Ariana, S., Pawirosumarto, S. (2023). Examining the Effect of Green Logistics and Green Human Resource Management on Sustainable Development Organizations: The Mediating Role of Sustainable Production. Sustainability, 15(13), 10667. https://doi.org/10.3390/su151310667
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  • 63. Sun, X., Yu, H., Solvang, W.D., Wang, Y., Wang, K. (2022). The application of Industry 4.0 technologies in sustainable logistics: a systematic literature review (2012-2020) to explore future research opportunities. Environmental Science and Pollution Research, 29(7), 9560-9591. https://doi.org/10.1007/s11356-021-17693-y
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Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c96125c1-41dd-4920-a342-b8d295289cb9
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