Factors Affecting the Risk of Logistics Service Provider (Inland Transport Service) in Thailand: A Case Study of a Northeastern Transport Association
Article Sidebar
Main Article Content
Abstract
The objectives of this research were to study the condition and level of internal and external factors that affect the risk, context and operating conditions, threats to the risks affected to operations and provide risks management for Logistics service provider (Inland service). Using questionnaires to collect data report with descriptive, inference statistics and structural equations model. The sample was 341. The analysis of the five forces model by decreasing were buyer power (Force3) threat of new Entry (Force2) threat of substitution (Force5) competitive rivalry (Force1) supplier power (Force4). Measuring the impact of various risk factors 9 observable variables by decreasing were threat of buyer power (IM3) threat of new entry (IM2) impact corporate opportunity response (IM8) threat of substitution (IM5) threat of supplier power (IM4) threat of competitive rivalry (IM1) corporate weakness impact (IM7) corporate Strengths Impact (IM6) corporate Threats Impacts (IM9).
Article Details
References
Brown, T. A. (2015). Confirmatory factor analysis for applied research. Guilford publications.
Chen, Z., Dong, J., & Ren, R. (2017). Urban underground logistics system in China: opportunities or challenges?. Underground Space. 2(3): 195-208.
Đalić, I., Ateljević, J., Stević, Ž., & Terzić, S. (2020). An Integrated swot–fuzzy piprecia model for analysis of competitiveness in order to improve logistics performances. Facta Universitatis, Series: Mechanical Engineering. 18(3): 439-451.
Fan, Y., & Stevenson, M. (2018). A review of supply chain risk management: definition, theory, and research agenda. International Journal of Physical Distribution & Logistics Management. 205-230.
Giannakis, M., & Papadopoulos, T. (2016). Supply chain sustainability: A risk management approach. International Journal of Production Economics. 171: 455-470.
Govindan, K., and Chaudhuri, A. (2016). Interrelationships of risks faced by third party logistics service providers: A Dematel based approach. Transportation Research Part E: Logistics and Transportation Review. 90: 177-195.
Jacobucci, R., Grimm, K. J., & McArdle, J. J. (2016). Regularized structural equation modeling. Structural equation modeling. A multidisciplinary journal. 23(4) : 555-566.
Kasikorn Research Center. (2017). E-commerce support logistics. Retrieved October 1, 2019, from https://www. kasikornbank.com/th/business/sme/KSMEKnowledge/article/KSMEAnalysis/Documents/E-Commerce_ Logistic.pdf
Keith, T. Z., & Reynolds, M. R. (2018). Using confirmatory factor analysis to aid in understanding the constructs measured by intelligence tests. 853–900.
Kline, R. B. (2015). Principles and practice of structural equation modeling. Guilford publications.
Liu, Y. (2017). SWOT research on domestic third-party logistics providers (3PLPs) in China. In 2017 2nd International Conference on Education, Sports, Arts and Management Engineering (ICESAME 2017). Atlantis Press. 1721-1726.
Mueller, R. O., & Hancock, G. R. (2018). Structural equation modeling. In The reviewer’s guide to quantitative methods in the social sciences. 445-456.
Office of the National Economic and Social Development Council (Thailand). (2017). Thailand Logistics System Development Strategy no 3.
Oláh, J., Sadaf, R., Máté, D., & Popp, J. (2018). The influence of the management success factors of logistics service providers on firms’ competitiveness. Polish Journal of Management Studies. (17): 175 -193.
Ong, J. W., Ismail, H., and Yeap, P. F. (2018). Competitive advantage and firm performance: the moderating effect of industry forces. International Journal of Business Performance Management. 19(4) : 385-407.
Rauch, P., Wolfsmayr, U. J., Borz, S. A., Triplat, M., Krajnc, N., Kolck, M., & Mühlberg, C. (2015). SWOT analysis and strategy development for forest fuel supply chains in South East Europe. Forest Policy and Economics. 61: 87.
Safaei, A. S., Farsad, S., & Paydar, M. M. (2018). Emergency logistics planning under supply risk and demand uncertainty. Operational Research. 1-24.
Soušek, R., Rozová, D., Němec, V., & Šustr, M. (2017). Business continuity management system in the transport. In WMSCI 2017-21st World Multi-Conference on Systemics, Cybernetics and Informatics: proceedings. International Institute of Informatics and Systematic.
Wang, F., Yang, X., Zhuo, X., & Xiong, M. (2019). Joint logistics and financial services by a 3PL firm: Effects of risk preference and demand volatility. Transportation Research Part E: Logistics and Transportation Review. 130: 312-328.
Wang, M. (2018). Impacts of supply chain uncertainty and risk on the logistics performance. Asia Pacific Journal of Marketing and Logistics. 689-704.
Weerapong, P. (2021). Factors affecting the risk of logistics service provider (inland transport service) in Thailand: A Case Study of a Northeastern Transport Association. Journal of Humanities and Social Sciences Thonburi University.
Yao, J. M. (2017). Supply chain resources integration optimization in B2C online shopping. International Journal of Production Research. 55(17): 5079-5094.