Logistics Capability, Inventory Efficiency, and Retail Performance: Evidence from Indonesian Listed Retail Companies
DOI:
https://doi.org/10.61978/logistica.v3i4.1727Keywords:
logistics capability, inventory turnover, inventory efficiency, retail performance, distribution network, Indonesian retail industry, secondary financial dataAbstract
This study examines the relationship between logistics capability, inventory efficiency, and retail performance among five major Indonesian publicly listed retail companies — AMRT, MIDI, ERAA, ACES, and MAPI — using audited secondary financial data from 2020 to 2024. A quantitative, comparative, and longitudinal design was employed, analyzing net sales, inventory, cost of goods sold, inventory turnover, and store-network scale. All sampled companies recorded positive sales growth, though with varying trajectories. AMRT grew net revenue from Rp75.83 trillion to Rp118.23 trillion while maintaining stable inventory turnover. MIDI expanded revenue, inventory, and store networks concurrently. ERAA nearly doubled its sales, with ACES and MAPI also recording growth. Inventory investment generally increased alongside sales, reflecting greater operational capacity. AMRT's slight inventory turnover decline in 2024 is interpreted as a potential strategic response to network expansion rather than inefficiency. The findings suggest that logistics capability, inventory efficiency, and distribution-network scale serve as complementary indicators of retail operational performance. This study contributes comparative evidence to the logistics and retail management literature using audited data. However, inventory-based metrics should not be treated as direct measures of customer satisfaction. Future research should integrate customer-based indicators and apply advanced longitudinal methods with larger balanced datasets.
References
Aguedo, C., Espinoza, J., & Pacheco, A. (2024). Improving Inventory Control Through a Web-Based System in a Retail Company. F1000research, 13, 252. https://doi.org/10.12688/f1000research.145178.1 DOI: https://doi.org/10.12688/f1000research.145178.1
Akbar, T., & Lanjarsih, L. (2023). Determination of Share Prices of Retail Companies Listed on the Indonesian Stock Exchange for the Period 2015 to 2021. Journal of Economics Finance and Management Studies, 06(05). https://doi.org/10.47191/jefms/v6-i5-03 DOI: https://doi.org/10.47191/jefms/v6-i5-03
Ali, S. S., & Kaur, R. (2022). Exploring the Impact of Technology 4.0 Driven Practice on Warehousing Performance: A Hybrid Approach. Mathematics, 10(8), 1252. https://doi.org/10.3390/math10081252 DOI: https://doi.org/10.3390/math10081252
Bakir, B., & Sadersah, L. (2023). Effect of Total Assets, Receivables and Inventories Turnover on Roa in Retail Trading Companies Indonesia Stock Exchange (Idx). Bima Journal (Business Management & Accounting Journal), 4(1), 37–52. https://doi.org/10.37638/bima.4.1.37-52 DOI: https://doi.org/10.37638/bima.4.1.37-52
Chen, K., Su, H., Linderman, K., & Li, W. (2024). Last‐minute Coordination: Adapting to Demand to Support Last‐mile Operations. Journal of Operations Management, 71(2), 176–194. https://doi.org/10.1002/joom.1297 DOI: https://doi.org/10.1002/joom.1297
Djaja, M. E., & Yuan, X.-M. (2023). Impact of Digital Marketing on Supply Chain Collaboration Through S and OP Framework:A Retail Industry Case Study. https://doi.org/10.46254/an13.20230422 DOI: https://doi.org/10.46254/AN13.20230422
Ebong, J., & Babu, G. S. (2020). Demand for Credit in High-Density Markets in Kampala: Application of Digital Lending and Implication for Product Innovation. Journal of International Studies, 13(4), 295–313. https://doi.org/10.14254/2071-8330.2020/13-4/21 DOI: https://doi.org/10.14254/2071-8330.2020/13-4/21
Forehand, K., Román, J. B., & Schaefer, T. (2021). Supply Chain Efficiency in the Discount Store Industry Post COVID-19: Applying the Supply Chain Efficiency Ratio. Operations and Supply Chain Management an International Journal, 423–430. https://doi.org/10.31387/oscm0470313 DOI: https://doi.org/10.31387/oscm0470313
Fu, X., Adejoke, A. B., Salaripour, A., Zali, N., & Reihani, Z. S. (2024). Does Urban Livability Lead to Place Attachment and Behavioural Intentions? Case Study: Isfahan City. Environment and Urbanization Asia, 15(1), 156–174. https://doi.org/10.1177/09754253241233781 DOI: https://doi.org/10.1177/09754253241233781
Gajjar, T. (2024). Revolutionizing Retail: The Synergy of AI and AR. International Journal of Science and Research Archive, 13(2), 3944–3966. https://doi.org/10.30574/ijsra.2024.13.2.2656 DOI: https://doi.org/10.30574/ijsra.2024.13.2.2656
Hamdani, D., & Prastiyanti, T. (2022). The Impact of Return on Asset, Debt to Equity Ratio and Inventory Turnover on Effective Tax Rate. Journal of Accounting Inaba, 1(1), 10–22. https://doi.org/10.56956/jai.v1i1.12 DOI: https://doi.org/10.56956/jai.v1i1.12
Lu, B., Li, G., & Ge, J. (2025). Effects of streamer effort and popularity on livestream retailing performance: a mixed-method study. Electronic Commerce Research, 25(4), 2553–2583. https://doi.org/10.1007/s10660-023-09757-7 DOI: https://doi.org/10.1007/s10660-023-09757-7
Melo, I. C., Alves, P. N., Callefi, J. S., Silva, K. A. d., Nagano, M. S., Daisy Aparecida do Nascimento Rebelatto, & Rentizelas, A. (2023). Measuring the Performance of Retailers During the COVID-19 Pandemic: Embedding Optimal Control Theory Principles in a Dynamic Data Envelopment Analysis Approach. Operations Research Perspectives, 10, 100282. https://doi.org/10.1016/j.orp.2023.100282 DOI: https://doi.org/10.1016/j.orp.2023.100282
Mistry, S. K., Hossain, Md. B., & Arora, A. (2019). Maternal Nutrition Counselling Is Associated With Reduced Stunting Prevalence and Improved Feeding Practices in Early Childhood: A Post-Program Comparison Study. Nutrition Journal, 18(1). https://doi.org/10.1186/s12937-019-0473-z DOI: https://doi.org/10.1186/s12937-019-0473-z
Mubarak, M., Sadiq, N., & Abbas, S. F. (2021). Linking Inventory Efficiency, Productivity and Responsiveness to Firm Performance in Pakistan. Irasd Journal of Management, 3(3), 285–301. https://doi.org/10.52131/jom.2021.0303.0045 DOI: https://doi.org/10.52131/jom.2021.0303.0045
Muhajiroh, N. K. M. F. F. N. (2024). The Effect of Cash Turnover, Receivables and Inventory on the Liquidity of Manufacturing Companies on the Indonesian Stock Exchange for the 2018-2022 Period. Ilomata Internatinal Journal of Tax and Accounting, (Vol. 5 No. 2 (2024): April 2024) DOI: https://doi.org/10.61194/ijtc.v5i2.1273
Ngari, A. R., & Kamau, C. G. (2021). Working Capital Management Cycle and Profitability of Household Supermarkets in Kenya: A Literature Review. International Journal of Research and Innovation in Social Science, 05(08), 711–714. https://doi.org/10.47772/ijriss.2021.5841 DOI: https://doi.org/10.47772/IJRISS.2021.5841
Nicho, R. A. (2020). Utilización Del Modelo K en La Gestión De Una Cadena De Suministros Para Favorecer El Crecimiento en Los Puntos De Venta De Los Negocios Retail De Calzado. Industrial Data, 23(1), 189–206. https://doi.org/10.15381/idata.v23i1.17521 DOI: https://doi.org/10.15381/idata.v23i1.17521
Nuraini, A. I. (2021). The Effect of Cash Turnover and Inventory Turnover on Return on Assets (ROA). Almana Jurnal Manajemen Dan Bisnis, 5(2), 259–270. https://doi.org/10.36555/almana.v5i2.1659 DOI: https://doi.org/10.36555/almana.v5i2.1659
Putra, Z., & Muzakir, M. (2020). Competitive Environment Analysis in Global Retail Companies Operation Strategy: A Data Envelopment Analysis (DEA) Based Approach. Afebi Management and Business Review, 5(1), 16. https://doi.org/10.47312/ambr.v5i1.286 DOI: https://doi.org/10.47312/ambr.v5i1.286
Russo, I., Masorgo, N., & Gligor, D. (2022). Examining the Impact of Service Recovery Resilience in the Context of Product Replacement: The Roles Of perceived Procedural and Interactional Justice. International Journal of Physical Distribution & Logistics Management, 52(8), 638–672. https://doi.org/10.1108/ijpdlm-07-2021-0301 DOI: https://doi.org/10.1108/IJPDLM-07-2021-0301
Sweeney, E., Taschner, A., & Grünewald, H. (2020). Disruptive Digital Technology Adoption in Global Supply Chains. JSCM, 3(1), 77. https://doi.org/10.69554/nfbv5572 DOI: https://doi.org/10.69554/NFBV5572
Tian, X., Tang, J., & Zhou, Y. (2025). Impact of promotion design on retail operating performance: Evidence from Chinese Chain retailers. Electronic Commerce Research, 25(5), 3515–3557. https://doi.org/10.1007/s10660-024-09805-w DOI: https://doi.org/10.1007/s10660-024-09805-w
Wamuyu, M. W., Ratemo, B., & Mwai, L. K. (2024). Influence of Inventory Management Strategy on the Performance of Retail Chains in Nairobi Central Business District. International Journal of Social Science and Humanities Research (Ijsshr) Issn 2959-7056 (O) 2959-7048 (P), 2(1), 147–156. https://doi.org/10.61108/ijsshr.v2i1.75 DOI: https://doi.org/10.61108/ijsshr.v2i1.75
Yunus, E. N. (2021). Would Compensation Be Necessary? The Importance of Service Recovery Strategy in E-Retail Delivery Problems. International Journal of Productivity and Performance Management, 72(5), 1286–1303. https://doi.org/10.1108/ijppm-05-2021-0273 DOI: https://doi.org/10.1108/IJPPM-05-2021-0273
Zhi, C., Huang, S., & Cheng, Z. ‐Y. (2024). Navigating Economic Uncertainties: The Role of Technological Innovations in Enhancing Supply Chain Resilience. Advances in Economics Management and Political Sciences, 112(1), 126–131. https://doi.org/10.54254/2754-1169/112/20242290 DOI: https://doi.org/10.54254/2754-1169/112/20242290
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Logistica : Journal of Logistic and Transportation

This work is licensed under a Creative Commons Attribution 4.0 International License.


