PENGARUH BERBAGI INFORMASI LOGISTIK, KAPABILITAS LOGISTIK, DAN KUALITAS INFORMASI TERHADAP KINERJA LOGISTIK
DOI:
10.54443/sibatik.v5i4.4469Published:
2026-03-31Downloads
Abstract
This study examines the direct effects of logistics information sharing, logistics capability, and information quality on logistics performance in manufacturing companies in Indonesia. A quantitative survey method was employed by distributing structured questionnaires to 168 respondents involved in logistics and supply chain activities. The data were analyzed using Structural Equation Modeling (SEM) with SPSS AMOS. The results show that logistics information sharing has a positive and significant effect on logistics performance, indicating that effective information exchange improves coordination and operational efficiency. Logistics capability also has a positive and significant effect on logistics performance, highlighting the importance of managing logistics resources and processes effectively. In addition, information quality positively and significantly affects logistics performance, emphasizing the role of accurate and timely information in logistics decision-making. The study concludes that logistics performance can be directly enhanced through effective information sharing, strong logistics capabilities, and high-quality information. These findings provide practical implications for manufacturing firms to improve logistics management and operational performance.
Keywords:
Logistic Information Sharing logistics capabilities logistics performance information qualityReferences
Elia, G., Margherita, A., & Passiante, G. (2020). Digital entrepreneurship ecosystem: How digital technologies and collective intelligence are reshaping the entrepreneurial process.
Technological Forecasting and Social Change, 150(January 2019), 119791. https://doi.org/10.1016/j.techfore.2019.119791
Gligor, D. M., & Holcomb, M. C. (2012). Understanding the role of logistics capabilities in achieving supply chain agility: A systematic literature review. Supply Chain Management, 17(4), 438–453. https://doi.org/10.1108/13598541211246594
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). MULTIVARIATE DATA ANALYSIS
EIGHTH EDITION. www.cengage.com/highered
Hair, J, F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). (2022). A Primer on particial least squaing res Structual Equation Modeling (PLS-SEM). In European Journal of Tourism Research (Vol. 6, Issue 2, pp. 211–213)
Hamid, A. A., Eshag, E. A. E., Karim, N. H., & Abdul Rahman, N. S. F. (2025). Investigating the mediating effect of logistics capabilities on the relationship between logistics information sharing and logistics performance. International Journal of Productivity and Performance Management, 74(5), 1564–1588. https://doi.org/10.1108/IJPPM-05-2024-0284
Hetami, A. A., & Mulawarman, U. (2023). Dan Kinerja Operasional Ukm Dalam Era Digital Dan Pasca Pandemi. 4(1), 53–61.
Kankam, G., Kyeremeh, E., Som, G. N. K., & Charnor, I. T. (2023). Information quality and supply chain performance: The mediating role of information sharing. Supply Chain Analytics, 2(March), 100005. https://doi.org/10.1016/j.sca.2023.100005
Marinagi, C., Trivellas, P., & Reklitis, P. (2015). Information Quality and Supply Chain Performance: The Mediating Role of Information Sharing. Procedia - Social and Behavioral Sciences, 175, 473–479. https://doi.org/10.1016/j.sbspro.2015.01.1225
Namagembe, S., & Mbago, M. (2023). Small and medium enterprise agro-processing firms supply chain performance: the role of owner-manager’s managerial competencies, information sharing and information quality. Modern Supply Chain Research and Applications, 5(4), 265–288. https://doi.org/10.1108/mscra-11-2022-0033
Roestenburg, W. J. (2021). Analysing technology acceptance by social workers in South Africa (Issue June).
Santosa. (2022). afif,+07.754-4674-1-LE (1).
Sekaran, B. (2013). Research Methods for Business: A Skill-Building Approach. Leadership & Organization Development Journal, 34(7), 700–701. https://doi.org/10.1108/lodj-06-2013-0079
Taherdoost, H. (2019). What Is the Best Response Scale for Survey and Questionnaire Design; Review of Different Lengths of Rating Scale / Attitude Scale / Likert Scale. International Journal of Academic Research in Management (IJARM), 8(1), 1–10.
Gligor, D. M., & Holcomb, M. C. (2012). Understanding the role of logistics capabilities in achieving supply chain agility: A systematic literature review. Supply Chain Management, 17(4), 438–453. https://doi.org/10.1108/13598541211246594
Santosa. (2022). afif,+07.754-4674-1-LE (1).
License
Copyright (c) 2026 Anya Sitaresmi Pribadi, Wahyuningsih Santosa, Gatri Lunarindiah, Dewi Kinanti Khasanah
This work is licensed under a Creative Commons Attribution 4.0 International License.
Downloads
How to Cite
