Main Article Content

Prin Weerapong
Kittinun Makprang


The purpose of this research is 1) to investigate the state and level of internal and external risk factors. Context and operating conditions, 2) to prioritize risks and related factors influencing the development of risk management operations. The data was gathered via a questionnaire. The samples used in this investigation were from members of Thailand's Northeastern Freight Forwarders Association (340 company). Data analysis provided consciousness and structural models of causal factors.
The results of the study showed that. 1) Customer bargaining power and threats from new competitors, threats from replacements, or interruptible services are the most essential aspects of the Five Force Model analysis measurement models. Competition between rivals in the same industry, and supplier bargaining power, respectively. 2) As a result of measuring the impact of risk factors, the most important are the threat impact of customer bargaining power and the threat impact of new competitors, the impact of responding to company opportunities, the impact of substitutes or interchangeable services as a threat impact of supplier bargaining power, and competitive impact between competitors in the same industry of company weaknesses, impact on company strengths, impact of company obstacles. according to the analysis showed that business continuity management did not influence impact of risk management. Risk Assessment, high level with 5 factors: threats from new competitors, bargaining power of suppliers, company strengths, responding to company opportunities and obstacles of the company the level of risk is medium, there are 3 factors: the bargaining power of the customer, threats from substitute products or services and weaknesses of the company.

Article Details

Research Article


Chanyeam, T. & Laptaned, U. (2020). kān yut changak khō̜ng sō ʻuppasong læ sō ʻuppathānthī mī phon tō̜ samatthana sō khunkhā læ radap kān bō̜rikān lūkkhā [Demand chain and supply chain disruption affected to value chain performance and customer service level]. Journal of Graduate Studies Valaya Alongkorn Rajabhat University under Royal Patronage. 14(1), 71-90.

Comrey, A. L. (1973). A first course in factor analysis. New York: Academic.

Dimić, S., Pamučar, D., Ljubojević, S., & Đorović, B. (2016). Strategic transport management models—the case study of an oil industry. Sustainability. 8(9), 954.

Islam, D. M. Z. (2014). Barriers to and enablers for European rail freight transport for integrated door-to-door logistics service. Part 1: Barriers to multimodal rail freight transport. Transport problems. 9(3), 43-56.

Jović, M., Tijan, E., Žgaljić, D., & Karanikić, P. (2020). SWOT analysis of selected digital technologies in transport economics. In 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) (pp. 1361-1366). IEEE.

Kasikorn Research Center. (2017). E - commerce rǣng mai tok dan lōčhittik tō [E - commerce no pressure to grow logistics]. Retrieved from https://www.kasikornbank.com/th/business/sme/KSMEKnowledge/article/KSMEAnalysis/Documents/E-Commerce%Logistics.pdf.

Kline, R. B. (2010). Promise and pitfalls of structural equation modeling in gifted research.

National Economic and Social Development Council. (2017). phǣn yutthasāt kānphatthanā rabop lōčhittik khō̜ng prathēt Thai [The twelfth national economic and social development plan]. Retrieved from http://www.nesdb.go.th/download/document/logistic/plan3.pdf

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. 15(2), 9-20.