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Sort articles by: Volume | Date | Most Rates | Most Views | Reviews | Alphabet
1.

The factors influencing on “made in Vietnam” electric cars demand Pages 1981-1996 Right click to download the paper Download PDF

Authors: Nguyen Thi Van Anh, Hoang Thanh Tung, Lam Tuan Hung, Truong Thi Tuyet

DOI: 10.5267/j.uscm.2024.2.007

Keywords: Factors affecting, Demand, Electric cars, Made in Vietnam

Abstract:
This article examines the factors affecting the demand for “Made in Vietnam” electric cars. The research results 6 main factors affecting the demand for “Made in Vietnam” electric cars including (1) Prices of “Made in Vietnam” electric cars; (2) Consumer income; (3) Consumer taste; (4) Price of related goods (including substitutes and complementary goods); (5) Market expectations for “Made in Vietnam” electric cars; (6) Policy institutions and consumers’ psychology towards environmentally friendly products. On that basis, the research team used Eviews8 software to test the impact of price factors and related commodity prices on the quantity and demand of electric cars. The results also indicate that when the price of “Made in Vietnam” electric cars increases by 1%, the quantity demanded for “Made in Vietnam” electric cars decreases by 1.39%; When income increases to 1%, consumers will be willing to save 0.26% to buy an electric car. If the price of substitute goods increases by 1%, the demand for “Made in Vietnam” electric cars will increase by 1.91%, and if the price of complementary goods increases by 1%, the demand for “Made in Vietnam” electric cars will decrease by 3.12%. From the results obtained, the research team has some recommendations to stimulate demand for “Made in Vietnam” electric cars, a product with many advantages in the green fuel era.
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Journal: USCM | Year: 2024 | Volume: 12 | Issue: 3 | Views: 2438 | Reviews: 0

 
2.

The effect of supply chain and storage management on demand for health services Pages 675-680 Right click to download the paper Download PDF

Authors: Nabil Mohemmed Al-Hazmi

DOI: 10.5267/j.uscm.2021.5.002

Keywords: Supply Chain Management, Storage, Demand, Health Service, Hospitals

Abstract:
This study aims at studying the effectiveness of supply and storage management in light of the determinants of demand for health services in Saudi hospitals in an analytical framework. The survey studies the impact of logistical management of medical materials and its vital role in securing the necessary medical resources and supplies for the health institution. The study adopts the descriptive and analytical approach in order to achieve its goals and test its hypotheses, as the study was applied in the hospitals of Al-Kharj Governorate. The study finds that there was a relationship between the methods of supply and storage applied in Saudi hospitals and the determinants of demand for the health services provided. The study recommends working on developing methods of requesting suppliers, developing methods of storing medicines and medical supplies, and distributing them inside the hospital in accordance with economic standards and making use of computer technologies.
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Journal: USCM | Year: 2021 | Volume: 9 | Issue: 3 | Views: 1140 | Reviews: 0

 
3.

Inventory model with Weibull time-dependent demand rate and completely backlogged permissible delay in payments Pages 321-332 Right click to download the paper Download PDF

Authors: R.P. Tripathi, H. S. Pandey

DOI: 10.5267/j.uscm.2015.6.003

Keywords: Demand, EOQ, Inventory, Shortage, Trade credit period, Weibull time-dependent

Abstract:
This paper considers the economic order quantity (EOQ) model over a finite horizon, in which demand rate follows a two-parameter Weibull time-dependent, shortages are allowed and completely backlogged. Mathematical formulations are derived under two different circumstances i.e. case I: The permissible delay is less than or equal time to finish positive inventory for settling the account, and case II: The permissible delay period is greater than time to finish positive inventory for settling the account. Based on the optimal solutions some important results are derived and numerical examples are provided to validate the proposed model. Finally, sensitivity analysis is provided to analyze the effect of changes with the variation in one parameter at a time on the optimal solution.
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Journal: USCM | Year: 2015 | Volume: 3 | Issue: 4 | Views: 1986 | Reviews: 0

 

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