NDLI: The study of a dual-channel automotive supply chain based on Internet of Things

Content Provider	IEEE Xplore Digital Library
Author	Zhang Han-jiang Guo Fang
Copyright Year	2013
Description	Author affiliation: Sch. of Econ. & Trade, Hunan Univ., Changsha, China (Zhang Han-jiang; Guo Fang)
Abstract	In this article, we summarized the effects incurred by IOT (Internet of Things) in automotive supply chain as follows: stimulating car demand and improving the ability of forecasting the market demand. We constructed a dual-channel automotive supply chain model composed of a car manufacturer and two car dealers from different sales channels, then under the hypothesis that the IOT is already available in the supply chain, with the theory of Stackelberg Model we studied the interaction scheme of the two completing car dealers when they invest to apply IOT, and the characteristics of supply chain information sharing cooperation scheme when IOT has been applied in the automotive supply chain. We found that the interaction scheme between the two car dealers manifests different characteristics under different degree of channel completion, we conclude that the greater the degree of channel competition between the two car dealers, the more incentive they will have to apply IOT, the greater the possibility for the supply chain to enter into a demand forecast information sharing collaboration.
Starting Page	650
Ending Page	658
File Size	437250
Page Count	9
File Format	PDF
ISBN	9781479904730
ISSN	21551855
e-ISBN	9781479904747
DOI	10.1109/ICMSE.2013.6586349
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-17
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Industries Analytical models information sharing internet of things Supply chains Information management automotive supply chain Forecasting Stackelberg model Automotive engineering Vehicles dual-channel
Content Type	Text
Resource Type	Article

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