Evolusi dan Arah Masa Depan Penelitian Model SCOR: Analisis Bibliometric pada Bidang Manajemen Rantai Pasok
DOI:
https://doi.org/10.55123/mamen.v4i4.6581Keywords:
SCOR, Bibliographic Coupling, Co-Word Analysis, Supply Chain, RetailAbstract
This research aims to find out current and future research trends regarding supply chain performance measurement methods. Supply chain management is a vital component in the modern retail industry. In the face of fierce competition, retail companies are required to manage their supply chains efficiently in order to meet consumer demand quickly, maintain stock balance, and optimize distribution costs. SCOR is one of the methods commonly used to measure and evaluate supply chain performance. Bibliometric is an analytical approach that uses bibliographic data as an indicator to measure productivity, impact, and relationships between research entities. The two approaches used in this study are Bibliographic coupling and Co-Word Analysis. During June 2025, a search was carried out on the Scopus database and 202 documents were found according to predetermined criteria. Document processing uses the Vosviewer application which shows the visualization of a mesh diagram dividing the document into 4 clusters (red, yellow, green and blue) for analysis with the Bibliographic Coupling method which shows that the research trend on SCOR in the last two decades has focused on the use of SCOR for performance measurement and evaluation, integration of SCOR with other methods for strategy determination. As for the Co-Word Analysis method, VosViewer groups documents into 3 clusters (red, green, blue) which shows the results that in the future SCOR research can be combined with technology and digitalization to map supply chain processes in order to achieve sustainability goals.
Downloads
References
Anand, N., & Grover, N. (2015). Measuring retail supply chain performance: Theoretical model using key performance indicators (KPIs). Benchmarking, 22(1), 135–166. https://doi.org/10.1108/BIJ-05-2012-0034
Antony, R., Khanapuri, V. B., & Jain, K. (2021). A framework for enhancing the fresh food retail supply chain performance: evidence from India. International Journal of Services and Operations Management, 40(3), 372–406. https://doi.org/10.1504/IJSOM.2021.119804
APICS. (2017). Supply Chain OpeAPICS. (2017). Supply Chain Operations Reference Model SCOR -Intro to V12. Supply Chain Operations Management, 1–23.rations Reference Model SCOR -Intro to V12. Supply Chain Operations Management, 1–23.
Behnert, A.-K., Antons, O., & Arlinghaus, J. (2024). Exploring the Challenges of Circular Economy Adoption: A Supply Chain Perspective. IFAC-PapersOnLine, 58(19), 211–216. https://doi.org/10.1016/j.ifacol.2024.09.168
Cagliano, A. C., De Marco, A., Grimaldi, S., & Rafele, C. (2012). An integrated approach to supply chain risk analysis. Journal of Risk Research, 15(7), 817–840. https://doi.org/10.1080/13669877.2012.666757
Chehbi-Gamoura, S., Derrouiche, R., Damand, D., & Barth, M. (2020). Insights from big Data Analytics in supply chain management: an all-inclusive literature review using the SCOR model. Production Planning and Control, 31(5), 355–382. https://doi.org/10.1080/09537287.2019.1639839
De Souza, R., Goh, M., Sundarakani, B., Wai, W. T., Toh, K., & Yong, W. (2011). Return on investment calculator for RFID ecosystem of high tech company. Computers in Industry, 62(8–9), 820–829. https://doi.org/10.1016/j.compind.2011.08.002
Ding, C., Liu, L., Zheng, Y., Liao, J., & Huang, W. (2022). Role of Distribution Centers Disruptions in New Retail Supply Chain: An Analysis Experiment. Sustainability (Switzerland), 14(11). https://doi.org/10.3390/su14116529
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133(April), 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Francia-Arias, G., Marín-Vílchez, J., Macassi-Jauregui, I., Raymundo-Ibañez, C., & Dominguez, F. (2020). SCOR Model for a Dual-Channel Supply Chain using Drop Shipping to Reduce Overstock in Small- and Medium-Sized Retail Enterprises. IOP Conference Series: Materials Science and Engineering, 796(1). https://doi.org/10.1088/1757-899X/796/1/012010
Jain, V., Kumar, S., Mostofi, A., & Arab Momeni, M. (2022). Sustainability performance evaluation of the E-waste closed-loop supply chain with the SCOR model. Waste Management, 147(May), 36–47. https://doi.org/10.1016/j.wasman.2022.05.010
Lee, Y. M. (2007). Analyzing the Effectiveness of the Availability Management Process. In Springer Series in Advanced Manufacturing (pp. 411–436). Springer Nature. https://doi.org/10.1007/978-1-84628-607-0_18
Leung, Y. T., Cheng, F., Lee, Y. M., & Hennessy, J. J. (2007). A Tool Set for Exploring the Value of RFID in a Supply Chain. In Springer Series in Advanced Manufacturing (pp. 49–70). Springer Nature. https://doi.org/10.1007/978-1-84628-607-0_3
Li, H., & Wang, Y. (2021). Supply chain risk identification of fresh products e-commerce under the new retail mode based on the improved SCOR model process. In C. C. & Z. H. (Eds.), Conference Proceedings of the 9th International Symposium on Project Management, ISPM 2021 (pp. 733–740). Aussino Academic Publishing House. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117357098&partnerID=40&md5=8ec8ae33614ef3956318425d3ffd268a
Liu, Z., Cao, W., & Yuan, S. (2009). Modeling and simulation of SCSA performance under e-commerce environment. Journal of Software, 4(5), 405–412. https://doi.org/10.4304/jsw.4.5.405-412
Mahadevan, K., Elias, A., & Samaranayake, P. (2023). Supply chain performance measurement through collaborative effectiveness: an Asia–Pacific perspective. International Journal of Productivity and Performance Management, 72(6), 1667–1687. https://doi.org/10.1108/IJPPM-05-2021-0274
Mahajan, R., Garg, S., & Sharma, P. B. (2013). Frozen corn manufacturing and its supply chain: Case study using SAP-LAP approach. Global Journal of Flexible Systems Management, 14(3), 167–177. https://doi.org/10.1007/s40171-013-0040-y
Meena, P. L., Katiyar, R., & Kumar, G. (2023). Supplier performance and selection from sustainable supply chain performance perspective. International Journal of Productivity and Performance Management, 72(8), 2420–2445. https://doi.org/10.1108/IJPPM-01-2022-0024
Nawanir, G. M. A. F. (2024). Lean healthcare: a science mapping of current progress and future research avenues. Journal of Health Organization and Management.
Nur Sholeh, M., & Suwarto, F. (2020). Perfect order fulfillment in construction supply chain performance. E3S Web of Conferences, 202. https://doi.org/10.1051/e3sconf/202020213001
Persson, F., Bengtsson, J., & Gustad, Ö. (2010). Construction logistics improvements using the SCOR model - Tornet case. IFIP Advances in Information and Communication Technology, 338 AICT, 211–218. https://doi.org/10.1007/978-3-642-16358-6_27
Piotrowicz, W., & Cuthbertson, R. (2015). Performance measurement and metrics in supply chains: an exploratory study. International Journal of Productivity and Performance Management, 64(8), 1068–1091. https://doi.org/10.1108/IJPPM-04-2014-0064
Rajaratnam, D., & Sunmola, F. (2021). Adaptations in scor based performance metrics of airline catering supply chain during covid-19 pandemic. Journal of Industrial Engineering and Management, 14(4), 808–829. https://doi.org/10.3926/jiem.3592
Raman, S., Patwa, N., Niranjan, I., Ranjan, U., Moorthy, K., & Mehta, A. (2018). Impact of big data on supply chain management. International Journal of Logistics Research and Applications, 21(6), 579–596. https://doi.org/10.1080/13675567.2018.1459523
Risso, L. A., Ganga, G. M. D., Santa-Eulalia, L. A. D., Godinho Filho, M., Chikhi, T., Mosconi, E., & Zhang, K. (2024). A framework for modeling and simulating blockchain-based supply chain traceability systems. International Journal of Production Economics, 278. https://doi.org/10.1016/j.ijpe.2024.109408
Rumahorbo, E., Wahyuda, W., & Profita, A. (2021). Perancangan dan Pengukuran Kinerja Supply Chain dengan Menggunakan Metode SCOR. Matrik, 22(1), 1. https://doi.org/10.30587/matrik.v22i1.1177
Sangari, M. S., & Mashatan, A. (2022). A data-driven, comparative review of the academic literature and news media on blockchain-enabled supply chain management: Trends, gaps, and research needs. Computers in Industry, 143. https://doi.org/10.1016/j.compind.2022.103769
Sharma, M., Luthra, S., Joshi, S., & Kumar, A. (2021). Accelerating retail supply chain performance against pandemic disruption: adopting resilient strategies to mitigate the long-term effects. Journal of Enterprise Information Management, 34(6), 1844–1873. https://doi.org/10.1108/JEIM-07-2020-0286
Singh, R., Sandhu, H. S., Metri, B. A., & Kaur, R. (2013). Modeling supply chain performance: A structural equation approach. International Journal of Information Systems and Supply Chain Management, 6(4), 18–41. https://doi.org/10.4018/ijisscm.2013100102
Taptajani, D. S., Ikhwana, A., Chandrahadinata, D., & Hakim, B. L. (2019). Implications on the total business approach to the press red brick supply chain. In A. A.G., N. A.B.D., W. I., D. A.A., & A. C.U. (Eds.), Journal of Physics: Conference Series (Vol. 1402, Issue 2). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/1402/2/022052
Thong, T. N. P., & Hang, D. T. T. (2023). Preliminary analysis of cross-shareholding in the green supply chain and recommendations for regulatory policy in the Philippines. Southeastern Philippines Journal of Research and Development, 28(2), 55–67. https://doi.org/10.53899/spjrd.v28i2.252
Tsang, Y. P., Fan, Y., Lee, C. K. M., & Lau, H. C. W. (2024). Blockchain sharding for e-commerce supply chain performance analytics towards Industry 5.0. Enterprise Information Systems, 18(4). https://doi.org/10.1080/17517575.2024.2311807
Wahyuniardi, R., Syarwani, Moh., & Anggani, R. (2017). Pengukuran Kinerja Supply Chain Dengan Pendekatan Supply Chain Operation References (SCOR). Jurnal Ilmiah Teknik Industri, 16(2), 123. https://doi.org/10.23917/jiti.v16i2.4118
Wulandari, I. P., & Setyaningsih, W. L. (2021). Implementasi Metode SCOR 11 . 0 dalam Pengukuran. Sistemasi: Jurnal Sistem Informasi, 10(1), 106–121.
Yadav, S., Garg, D., & Luthra, S. (2020). Development of IoT based data-driven agriculture supply chain performance measurement framework. Journal of Enterprise Information Management, 34(1), 292–327. https://doi.org/10.1108/JEIM-11-2019-0369
Yang, Y., Huisman, W., Hettinga, K. A., Liu, N., Heck, J., Schrijver, G. H., Gaiardoni, L., & van Ruth, S. M. (2019). Fraud vulnerability in the Dutch milk supply chain: Assessments of farmers, processors and retailers. Food Control, 95, 308–317. https://doi.org/10.1016/j.foodcont.2018.08.019
Zhang, X., & Lam, J. S. L. (2021). Measuring the Impact of E-Collaboration on Supply Chain Parties: A Value-Based Management Approach. IEEE Access, 9, 118181–118193. https://doi.org/10.1109/ACCESS.2021.3103738
Zheng, Y., Liu, Y., & Feng, Y. (2010). ABM based on the SCOR model. Proceedings of the International Conference on E-Business and E-Government, ICEE 2010, 3641–3644. https://doi.org/10.1109/ICEE.2010.914
Zhou, Z. (2022). Green Supply Chain Management Model of e-Commerce Enterprises Based on SCOR Model. Mobile Information Systems, 2022. https://doi.org/10.1155/2022/3191317
Zupic, I., & Čater, T. (2015). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Maya Permata Sari, Afifah Afifah, Mega Dwi Septivani, Willson Gustiawan
This work is licensed under a Creative Commons Attribution 4.0 International License.
Hak cipta pada setiap artikel adalah milik penulis.
Penulis mengakui bahwa MAMEN (Jurnal Manajemen) sebagai publisher yang mempublikasikan pertama kali dengan lisensi
Creative Commons Attribution 4.0 International License.
Penulis dapat memasukan tulisan secara terpisah, mengatur distribusi non-ekskulif dari naskah yang telah terbit di jurnal ini kedalam versi yang lain, seperti: dikirim ke respository institusi penulis, publikasi kedalam buku, dan lain-lain. Dengan mengakui bahwa naskah telah terbit pertama kali pada MAMEN (Jurnal Manajemen).
