Factors of logistics service providers evaluation and selection

Tóm tắt

This study aims to identify and analyze the key factors influencing the decision-making process for the selection of logistics service providers (LSPs) via  multiple-criteria decision analysis (MCDA). From a comprehensive literature review and empirical data gathered through surveys and interviews with supply chain managers across various factories in the Bien Hoa industrial zone, this research categorizes the evaluation criteria into five main factors: cost efficiency, service quality, capability, reliability, and sustainability and ethics. This paper also contributes to the logistics field by providing a structured framework for LSP evaluation that can be helful for LSPs in optimizing their supply chain decisions. The study’s implications extend to enhancing logistical collaborations and promoting sustainable business practices within the global supply chain landscape.

Tài liệu tham khảo

Balmer, J. M., Lin, Z., Chen, W., & He, X. (2020). The role of corporate brand image for B2B relationships of logistics service providers in China. Journal of Business Research, 117, 850-861.

Chen, I. S., Fung, P. K., & Yuen, S. S. (2019). Dynamic capabilities of logistics service providers: Antecedents and performance implications. Asia Pacific Journal of Marketing and Logistics, 31(4), 1058-1075.

Cichosz, M., Wallenburg, C. M., & Knemeyer, A. M. (2020). Digital transformation at logistics service providers: barriers, success factors and leading practices. The International Journal of Logistics Management, 31(2), 209-238.

Dovbischuk, I. (2022). Innovation-oriented dynamic capabilities of logistics service providers, dynamic resilience and firm performance during the COVID-19 pandemic. The International Journal of Logistics Management, 33(2), 499-519.

Gultekin, B., Demir, S., Gunduz, M. A., Cura, F., & Ozer, L. (2022). The logistics service providers during the COVID-19 pandemic: The prominence and the cause-effect structure of uncertainties and risks. Computers & Industrial Engineering, 165, 107950.

Gupta, A., Singh, R. K., Mathiyazhagan, K., Suri, P. K., & Dwivedi, Y. K. (2023). Exploring relationships between service quality dimensions and customers satisfaction: empirical study in context to Indian logistics service providers. The International Journal of Logistics Management, 34(6), 1858-1889.

Hohenstein, N.-O. (2022). Supply chain risk management in the COVID-19 pandemic: strategies and empirical lessons for improving global logistics service providers’ performance. The International Journal of Logistics Management, 33(4), 1336-1365.

Jazairy, A., & von Haartman, R. (2020). Analysing the institutional pressures on shippers and logistics service providers to implement green supply chain management practices. International Journal of Logistics Research and Applications, 23(1), 44-84.

Laari, S., Töyli, J., & Ojala, L. (2018). The effect of a competitive strategy and green supply chain management on the financial and environmental performance of logistics service providers. Business Strategy and the Environment, 27(7), 872-883.

Liu, X., Zhang, K., Chen, B., Zhou, J., & Miao, L. (2018). Analysis of logistics service supply chain for the One Belt and One Road initiative of China. Transportation Research Part E: Logistics and Transportation Review, 117, 23-39.

Mathauer, M., & Hofmann, E. (2019). Technology adoption by logistics service providers. International Journal of Physical Distribution & Logistics Management, 49(4), 416-434.

Oláh, J., Karmazin, G., Pető, K., & Popp, J. (2018). Information technology developments of logistics service providers in Hungary. International Journal of Logistics Research and Applications, 21(3), 332-344.

Prataviera, L. B., Creazza, A., Dallari, F., & Melacini, M. (2023). How can logistics service providers foster supply chain collaboration in logistics triads? Insights from the Italian grocery industry. Supply Chain Management: An International Journal, 28(2), 242-261.

Qin, X., Liu, Z., & Tian, L. (2020). The strategic analysis of logistics service sharing in an e-commerce platform. Omega, 92, 102153.

Sarabi, E. P., & Darestani, S. A. (2021). Developing a decision support system for logistics service provider selection employing fuzzy MULTIMOORA & BWM in mining equipment manufacturing. Applied Soft Computing, 98, 106849.

Singh, S. P., Adhikari, A., Majumdar, A., & Bisi, A. (2022). Does service quality influence operational and financial performance of third party logistics service providers? A mixed multi criteria decision making-text mining-based investigation. Transportation Research Part E: Logistics and Transportation Review, 157, 102558.

Sureeyatanapas, P., Poophiukhok, P., & Pathumnakul, S. (2018). Green initiatives for logistics service providers: An investigation of antecedent factors and the contributions to corporate goals. Journal of cleaner production, 191, 1-14.

Świtała, M., Gamrot, W., Reformat, B., & Bilińska-Reformat, K. (2018). The influence of brand awareness and brand image on brand equity–an empirical study of logistics service providers. Journal of Economics and Management(33), 96-119.

Vu, T. P., Grant, D. B., & Menachof, D. A. (2020). Exploring logistics service quality in Hai Phong, Vietnam. The Asian Journal of Shipping and Logistics, 36(2), 54-64.

Wang, Z.-J., & Lin, J. (2017). Acceptability measurement and priority weight elicitation of triangular fuzzy multiplicative preference relations based on geometric consistency and uncertainty indices. Information Sciences, 402, 105-123.

Wen, Z., Liao, H., Kazimieras Zavadskas, E., & Al-Barakati, A. (2019). Selection third-party logistics service providers in supply chain finance by a hesitant fuzzy linguistic combined compromise solution method. Economic research-Ekonomska istraživanja, 32(1), 4033-4058.

Zailani, S., Jafarzadeh, S., Iranmanesh, M., Nikbin, D., & Selim, N. I. I. (2018). Halal logistics service quality: conceptual model and empirical evidence. British Food Journal, 120(11), 2599-2614