The Influence of Technology Acceptance Model on Service Level Agreement Through Actual System Use in Last-Mile Logistics Operations
DOI:
https://doi.org/10.38035/sjtl.v4i2.989Keywords:
Technology Acceptance Model, Service Level Agreement, Actual System Use, Last-Mile Logistics, PLS-SEMAbstract
This study examines the influence of Technology Acceptance Model (TAM) on Service Level Agreement (SLA) achievement through Actual System Use in last-mile logistics operations at SiCepat Ekspres. Utilizing a quantitative approach and variance-based structural equation modeling (PLS-SEM), data were collected from 278 operational employees. Six TAM constructs Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Trust, Perceived Risk, Organizational Readiness, and Social Influence were examined as independent variables, with Actual System Use as mediating variable and SLA as the dependent variable. Results reveal that Social Influence is the strongest predictor of Actual System Use (β = 0.420), while Actual System Use significantly drives SLA achievement (β = 0.585). The model explains 75.5% of SLA variance, underscoring the central role of actual technology use as a strategic mediator in the TAM–SLA relationship within last-mile logistics operations.
References
Alverhed, E., Hellgren, S., Isaksson, H., Olsson, L., Palmqvist, H., & Flodén, J. (2024). Autonomous last-mile delivery robots: a literature review. European Transport Research Review, 16(1), 4. https://link.springer.com/article/10.1186/s12544-023-00629-7
Antonios, S., Verni, O., Moore, I., Sall, A., Arriaza, J., Jivani, S., Bennett, A., Li, S., Zheng, D., & Zervoudakis, S. (2022). Investigating End-User Acceptance of Last-Mile Delivery by Autonomous Vehicles in the United States. Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-18158-0
Boom-Cárcamo, E., Molina-Romero, S., Galindo-Angulo, C., & del Mar Restrepo, M. (2024). Barriers and Strategies for Digital Marketing and Smart Delivery in Urban Courier Companies in Developing Countries. Journal of the Knowledge Economy, 15, 19203–19232. https://doi.org/10.1007/s13132-024-01823-1
Boysen, N., Fedtke, S., & Schwerdfeger, S. (2021). Last-mile delivery concepts: A survey from an operational research perspective. OR Spectrum, 43, 1–58. https://doi.org/10.1007/s00291-020-00607-8
C. Bienstock, carol, & B. Royne, maria. (2010). Balancing exploration and exploitation capabilities in high technology firms: A study of the dynamics of ambidexterity. Industrial Marketing Management, 21(2), 271–292. https://doi.org/10.1108/09574091011042179
Correia, D., Teixeira, L., & Marques, J. L. (2021). Last-mile-as-a-service (LMaaS): An innovative concept for the disruption of the supply chain. Sustainable Cities and Society, 75, 103310. https://doi.org/10.1016/j.scs.2021.103310
Creswell, J. W. (2009). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. In SAGE Publications, Inc. (3rd Editio, Vol. 16, Issue 1).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
Ejdys, J., & Gulc, A. (2020). Trust in courier services and its antecedents as a determinant of perceived service quality and future intention to use courier service. Sustainability (Switzerland), 12(21), 1–19. https://doi.org/10.3390/su12219088
ElSemary, M., Eman, N., Deselnicu, D. C., & Haddad, S. S. G. (2025). An Empirical Study on the Determinants of Customers’ Intentions to Switch to Smart Lockers as a Trending Last-Mile Logistics Channel. Logistics, 9(4), 1–35. https://doi.org/10.3390/logistics9040177
Escudero-Santana, A., Muñuzuri, J., Lorenzo-Espejo, A., & Muñoz-Díaz, M. L. (2022). Improving E-Commerce Distribution through Last-Mile Logistics with Multiple Possibilities of Deliveries Based on Time and Location. Journal of Theoretical and Applied Electronic Commerce Research, 17(2), 507–521. https://doi.org/10.3390/jtaer17020027
Esmaili, A., Rejali, S., Aghabayk, K., Mohammadi, A., & De Gruyter, C. (2025). Autonomous delivery vehicle acceptance: The moderating role of perceived risk of theft. Transport Policy, 162(December 2024), 406–423. https://doi.org/10.1016/j.tranpol.2024.12.022
Ghozali, I. (2018). Aplikasi Analisis Multivariate dengan Program IBM SPSS 25 (9 Edition). Badan Penerbit Universitas Diponegoro.
Hair, J. F. J., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). In SAGE Publications, Inc (2nd Editio).
Ismail, R. E., & Jokonya, O. (2023). Factors affecting the adoption of emerging technologies in last-mile delivery in the retail industry. Procedia Computer Science, 219(2022), 2084–2092. https://doi.org/10.1016/j.procs.2023.01.511
Klein, P., & Popp, B. (2022). Last-Mile Delivery Methods in E-Commerce: Does Perceived Sustainability Matter for Consumer Acceptance and Usage? Sustainability (Switzerland), 14, 16437. https://doi.org/10.3390/su142416437
Mo, B., Wang, Q., Guo, X., Winkenbach, M., & Zhao, J. (2023). Predicting Drivers’ Route Trajectories in Last-Mile Delivery Using a Pair-wise Attention-based Pointer Neural Network. Transportation Research Part E: Logistics and Transportation Review, 175, 103168. https://doi.org/10.1016/j.tre.2023.103168
Ricardianto, P., Fonataba, Y., Veronica, Marzuki, S., Priyohadi, N. D., Wijonarko, G., Haryani, E. B. S., Kamsariaty, Sitorus, P. P., & Endri, E. (2023). Determinants of logistics effectiveness on port operational performance: Empirical evidence from Indonesia. Uncertain Supply Chain Management, 11(2), 799–810. https://doi.org/10.5267/j.uscm.2022.12.010
Sekaran, U., & Bougie, R. (2016). Research Methods for Business: A Skill-Building Approach. In Leadership & Organization Development Journal (7th Editio, Vol. 34, Issue 7). John Wiley & Sons Ltd.
Shuaibu, A. S., Mahmoud, A. S., & Sheltami, T. R. (2025). Last-Mile Delivery Optimization: Recent Approaches and Advances. Transportation Research Procedia, 84, 299–306. https://doi.org/10.1016/j.trpro.2025.03.076
Silva, V., Amaral, A., & Fontes, T. (2023). Sustainable Urban Last-Mile Logistics: A Systematic Literature Review. Sustainability (Switzerland), 15(3), 2285. https://doi.org/10.3390/su15032285
Sugiyono. (2013). Metode Penelitian Kuantitatif, Kualitatif, dan R&D. In Alfabeta (19th ed.).
Sultan, M. A., Kramberger, T., Barakat, M., & Ali, A. H. (2023). Barriers to Applying Last-Mile Logistics in the Egyptian Market: An Extension of the Technology Acceptance Model. Sustainability (Switzerland), 15(17), 12748. https://doi.org/10.3390/su151712748
World Economic Forum. (2021). Pandemic, Parcels and Public Vaccination: Envisioning the Next Normal for the Last-Mile Ecosystem (Issue April). https://www3.weforum.org/docs/WEF_Pandemic_Parcels_and_Public_Vaccination_report_2021.pdf
Yick, N. K., & Selamat, A. S. (2024). Perceived Ease of Use, Usefulness and Trust towards Consumer’s Intention to Adopt Automated Parcel Locker as Last Mile Delivery. International Journal of Academic Research in Business and Social Sciences, 14(10), 607–619. https://doi.org/10.6007/ijarbss/v14-i10/22688
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