Evaluasi Kelayakan Kemitraan Logistik pada Industri E-Commerce: Sebuah Systematic Literature Review
DOI:
https://doi.org/10.32493/drb.v8i6.54756Keywords:
E-commerce; Evaluasi Kinerja; Kemitraan Logistik; 3PL; MCDM; SLRAbstract
Pertumbuhan pesat e-commerce telah meningkatkan kebutuhan akan penyedia layanan logistik pihak ketiga (3PL) yang andal dan berbasis teknologi, yang mampu mendukung pengiriman cepat, pemenuhan pesanan yang akurat, serta pertukaran informasi secara real-time. Seiring semakin kompleksnya operasi e-commerce, evaluasi kemitraan logistik menjadi area pengambilan keputusan strategis yang berdampak pada kinerja layanan, efisiensi operasional, dan kepuasan pelanggan. Penelitian ini melakukan Systematic Literature Review (SLR) terhadap 35 artikel terindeks yang dipublikasikan pada periode 2016 hingga 2025 dan diperoleh melalui Scopus, ScienceDirect, dan Emerald Insight. Proses SLR mengikuti pedoman PRISMA yang mencakup tahapan identifikasi, penyaringan, penilaian kelayakan, dan seleksi akhir. Hasil sintesis menunjukkan enam tema utama kriteria evaluasi kemitraan logistik, yaitu: (1) kinerja operasional dan service level agreement (SLA), (2) kapasitas dan kapabilitas logistik, (3) integrasi teknologi dan kualitas informasi, (4) biaya dan efisiensi ekonomi, (5) risiko dan resiliensi rantai pasok, serta (6) keberlanjutan. Secara metodologis, studi yang diulas menggunakan pendekatan yang beragam, antara lain multi-criteria decision making (MCDM), optimalisasi matematis, analitik data, machine learning, dan analisis konseptual. Temuan menunjukkan bahwa SLA dan integrasi teknologi menjadi dimensi evaluasi yang paling dominan dalam ekosistem e-commerce modern, diikuti oleh biaya, risiko, dan logistik berkelanjutan. Kajian ini berkontribusi dengan memberikan pemetaan komprehensif mengenai kriteria evaluasi serta pola metodologi, sekaligus mengidentifikasi gap penelitian seperti perlunya model evaluasi berbasis data real-time dan peningkatan studi empiris di kawasan Asia Tenggara.
References
Aggarwal, R., Gupta, S., Singh, M., & Kaur, T. (2024). Performance Evaluation of Sustainable Downstream Logistics: A Hybrid Multi Criteria Decision Making Framework. Modern Supply Chain Research and Applications, 6(1), 45–63. https://doi.org/10.1108/MSCRA-08-2023-0058
Akyüz, M. H., Muter, İ., Erdoğan, G., & Laporte, G. (2022). Minimum cost delivery of multi-item orders in e-commerce logistics. Computers and Operations Research, 138. https://doi.org/10.1016/j.cor.2021.105613
Bag, S., Wood, L. C., Xu, L., & Dhamija, P. (2021). Leveraging big data analytics capabilities in making reverse logistics decisions and improving remanufacturing performance. Transportation Research Part E: Logistics and Transportation Review, 149, 102289. https://doi.org/10.1016/j.tre.2021.102289
Cao, C., & Huang, S. (2022). How can SMEs boost trust through third-party means? Tracing the multi-dimensional institutional basis of online trust. IEEE Access, 10, 127149–127167. https://doi.org/10.1109/ACCESS.2022.3226889
Cao, K., Su, Y., Xu, Y., & Wang, J. (2022). Optimal channel selection of remanufacturing firms with asymmetric information in platform economy. RAIRO – Operations Research, 56(3), 1259–1281. https://doi.org/10.1051/ro/2022041
Chai, Y., Hsu, Y., Li, X., & Liang, J. (2019). MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction. IEEE Robotics and Automation Letters, 4(2), 1524–1531. https://doi.org/10.1109/LRA.2019.2897960
Chen, T., Zhang, X., & Jia, F. (2025). Platform or third-party service provider? An analysis of logistics mode selection strategy for manufacturers in e-commerce supply chains. Managerial and Decision Economics, 46(2), 1040–1061. https://doi.org/10.1002/mde.4419
De, A., & Singh, S. P. (2023). A resilient pricing and service quality level decision for fresh agri-product supply chain in post-COVID-19 era. International Journal of Logistics Management, 34(4), 1101–1140. https://doi.org/10.1108/IJLM-02-2021-0117
Doele, M., Ellerbroek, J., & Hoekstra, J. (2020). Reducing retail supply chain costs of product returns using digital product fitting. Foresight, 26(3), 393–404. https://doi.org/10.1108/FS-09-2023-0175
Feng, L., Kou, Q., Dai, Y., & Wu, X. (2025). Joint channel and logistics selection strategies in an e-commerce supply chain with a capital-constrained supplier. Asia-Pacific Journal of Operational Research, 42(1). https://doi.org/10.1142/S0217595924400104
Fontaine, P., & Minner, S. (2023). A branch-and-repair method for three-dimensional bin selection and packing in e-commerce. Operations Research, 71(1), 273–288. https://doi.org/10.1287/opre.2022.2369
Giuffrida, M., Jiang, H., & Mangiaracina, R. (2021). Investigating uncertainty types and risk management strategies in cross-border e-commerce logistics. International Journal of Logistics Management, 32(4), 1406–1433. https://doi.org/10.1108/IJLM-04-2020-0158
Golinska-Dawson, P., Werner-Lewandowska, K., Kolinska, K., & Kolinski, A. (2023). Impact of market drivers on the digital maturity of logistics processes in a supply chain. Sustainability, 15(4). https://doi.org/10.3390/su15043120
Han, Y-Z. (2023). The selection and evaluation of the third-party logistics service provider of Tianjin agricultural products. [Jurnal tidak tercantum]
Hübner, A., Wollenburg, J., & Holzapfel, A. (2016). Retail logistics in the transition from multi-channel to omni-channel. International Journal of Physical Distribution & Logistics Management, 46(6/7), 562–583. https://doi.org/10.1108/IJPDLM-08-2015-0179
Jat, M. N., & Jajja, M. S. S. (2020). TCS: “Hazir SubKuch”—making everything present. Asian Journal of Management Cases, 17(1), 17–35. https://doi.org/10.1177/0972820119892738
Jin, Z. (2019). Research and optimization of cold chain transportation process based on network planning technology. [Jurnal tidak tercantum]
Kembro, J., & Norrman, A. (2018). Exploring trends, implications, and challenges for logistics information systems in omni-channels. International Journal of Logistics Management, 29(4).
Kmiecik, M. (2025). Optimizing orders grouping for picking in a 3PL e-commerce warehouse: A comparative study of machine learning, LLM and heuristic approaches. Logforum, 21(3), 493–503. https://doi.org/10.17270/J.LOG.001264
Kotzab, H., Palmqvist, L., & Heikkilä, J. (2018). Key competences of logistics and SCM professionals – The lifelong learning perspective. The International Journal of Logistics Management, 29(1), 9–35. https://doi.org/10.1108/IJLM-04-2016-0085
Leung, K. H., Lee, C. K. M., & Choy, K. L. (2020). An integrated online pick-to-sort order batching approach for managing frequent arrivals of B2B e-commerce orders. Advanced Engineering Informatics, 45, 101125. https://doi.org/10.1016/j.aei.2020.101125
Li, J., & Ding, Y. (2016). A service quality evaluation system of third-party logistics by college students under the Chinese e-commerce environment. ICSSSM, 7538588. https://doi.org/10.1109/ICSSSM.2016.7538588
Li, L. (2021). Research on the evaluation system of fresh food logistics based on AHP-entropy weight method. ACM International Conference Proceedings, 347–351. https://doi.org/10.1145/3516529.3516599
Li, M., Shao, S., Ye, Q., Xu, G., & Huang, G. Q. (2020). Blockchain-enabled logistics finance execution platform. Robotics and Computer-Integrated Manufacturing, 65, 101962. https://doi.org/10.1016/j.rcim.2020.101962
Li, X., Wu, C., Lin, X. (2024). Sales model and logistics selections for a manufacturer considering carbon emissions. RAIRO – Operations Research, 58(3), 2123–2142. https://doi.org/10.1051/ro/2024070
Liu, D., Xie, L., & Wu, L. (2020). Sustainability risk management in a smart logistics ecological chain: An evaluation framework based on social network analysis. Journal of Cleaner Production, 277, 123302. https://doi.org/10.1016/j.jclepro.2020.123302
Liu, M., Li, G., Wu, H., & Li, X. (2023). Does free brand spillover benefit online retailers? Transportation Research Part E, 178. https://doi.org/10.1016/j.tre.2023.103270
Liu, Y., & Zhang, Y. (2025). Evaluation of digital service quality for third-party logistics in cross-border e-commerce. [Jurnal tidak tercantum] https://doi.org/10.52202/078960-0044
Mismar, H., Shamayleh, A., & Qazi, A. (2022). Prioritizing risks in last-mile delivery: A Bayesian belief network approach. IEEE Access, 10, 118551–118562. https://doi.org/10.1109/ACCESS.2022.3220626
Mubarik, M. S., Govindan, K., & Malik, M. (2021). Resilience and cleaner production in industry 4.0: Role of supply chain mapping and visibility. Journal of Cleaner Production, 292, 126064. https://doi.org/10.1016/j.jclepro.2021.126064
Nuengphasuk, M., & Samanchuen, T. (2019). Selection of logistics service provider for e-commerce using AHP & TOPSIS. TIMES-iCON, 9024406.
Pahwa, A., & Jaller, M. (2023). Assessing last-mile distribution resilience under demand disruptions. Transportation Research Part E, 172. https://doi.org/10.1016/j.tre.2023.103066
Park, D.-J., & Choi, Y.-S. (2017). Implementation of real-time transport management system based on smartphone. Information, 20(1), 609–614.
Park, H., & Kim, S. (2020). A Study on the Priorities of Blockchain Adoption for Port Logistics in Korea Using AHP: Focused on Busan and Incheon Ports. Sustainability, 12(18), 7600. https://doi.org/10.3390/su12187600
Pingping, Z., & Yang, Y. (2020). Robust bi-level optimization of reverse logistics under e-commerce. LRP, 9(13). https://doi.org/10.1109/ISCEIC51027.2020.00010
Qian, J., Shen, J., & Shao, X. (2024). Selling mode choice with logistics. Electronic Commerce Research and Applications, 67. https://doi.org/10.1016/j.elerap.2024.101434
Queiroz, M. M., Telles, R., & Bonilla, S. H. (2020). The Role of Digital Connectivity in Supply Chain and Logistics Systems: A Proposed SIMPLE Framework. IEEE Transactions on Engineering Management, 68(6), 1826–1837. https://doi.org/10.1109/TEM.2019.2909366
Raj, R., Singh, A., Kumar, V., De, T., & Singh, S. (2024). Assessing last-mile logistics risk hurdles. Cleaner Logistics and Supply Chain, 10. https://doi.org/10.1016/j.clscn.2023.100131
Rashid, N., Dutta, A., Ali, J., & Soroshian, S. (2024). Reverse supply chain under impulse buying behaviour. [Jurnal tidak tercantum]
Ren, J., Li, H., Zhang, M., & Wu, C. (2021). Massive-scale graph mining for cold chain logistics. Future Generation Computer Systems, 125, 526–531. https://doi.org/10.1016/j.future.2021.06.057
Sadeghi Moghadam, M. R. S., et al. (2022). Modeling IoT enablers for humanitarian supply chains. ICEB Proceedings, 22, 315–322.
Shi, Y., Yang, Z., Yan, H., & Tian, X. (2017). Delivery efficiency & supplier performance evaluation in China’s e-retailing. Journal of Systems Science and Complexity, 30(2), 392–410. https://doi.org/10.1007/s11424-017-5007-6
Sun, G., Zhao, C., & Xue, K. (2025). Sales mode selection and logistics integration strategy for green supply chain. Sustainable Operations and Computers, 6, 278–288. https://doi.org/10.1016/j.susoc.2025.10.004
Tan, M., Li, H., Wang, H., & Yin, P. (2025). Research on dynamic collaborative strategies of online retail channels. Systems, 13(10). https://doi.org/10.3390/systems13100838
Wang, C.-N., Nguyen, N., Dang, T., & Lu, C.-M. (2021). Third-party logistics selection with fuzzy AHP–VIKOR. Mathematics, 9(8). https://doi.org/10.3390/math9080886
Wang, X., Wong, Y. D., Li, K. X., & Yuen, K. F. (2021). Co-creating self-collection services in last-mile logistics. International Journal of Logistics Management, 32(3), 846–871. https://doi.org/10.1108/IJLM-09-2020-0359
Wang, Z., & Zeng, X. (2021). Third-party logistics mode of cross-border e-commerce based on machine learning. ACM Proceedings, 395–399.
Wollenburg, J., Holzapfel, A., & Hübner, A. (2019). Omni-channel customer management processes in retail: An exploratory study on fulfilment-related options. Journal of Business Research, 106, 245–259. https://doi.org/10.1016/j.jbusres.2018.09.020
Xu, W., & Li, B. (2017). Third-party logistics partner selection of B2C e-commerce enterprise. MATEC Web of Conferences, 100, 2032.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Gultom Istanto
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Penulis yang menerbitkan jurnal ini menyetujui persyaratan berikut:
- Penulis memiliki hak cipta dan memberikan jurnal hak publikasi pertama dengan karya yang secara simultan dilisensikan di bawah Creative Commons Attribution License yang memungkinkan orang lain untuk berbagi karya dengan pengakuan kepengarangan karya dan publikasi awal dalam jurnal ini.
- Penulis dapat masuk ke dalam pengaturan kontrak tambahan yang terpisah untuk distribusi non-eksklusif versi jurnal yang diterbitkan dari karya tersebut (misalnya, mempostingnya ke repositori institusional atau menerbitkannya dalam sebuah buku), dengan pengakuan atas karya awalnya publikasi dalam jurnal ini.
- Penulis diizinkan dan didorong untuk memposting pekerjaan mereka secara online (misalnya, dalam repositori institusional atau di situs web mereka) sebelum dan selama proses pengajuan, karena dapat menyebabkan pertukaran yang produktif, serta kutipan yang lebih awal dan lebih besar dari karya yang diterbitkan ( Lihat The Effect of Open Access).
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
.png)
