2019
DOI: 10.1007/s00521-019-04125-9
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Study on supply chain strategy based on cost income model and multi-access edge computing under the background of the Internet of Things

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Cited by 35 publications
(17 citation statements)
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“…In the dual-channel supply chain system, channel optimization is influenced by channel attitude toward risk, in which risk is classified as general risk and interruption risk [10]. For individuals, P2P platform provides convenience for its financing or capital problems but also produces a series of risk problems, such as imperfect credit system, high moral hazard, and serious adverse selection [11]. At present, credit risk is the key content of risk research, and the research direction includes default characteristics analysis and platform reputation [12].…”
Section: Introductionmentioning
confidence: 99%
“…In the dual-channel supply chain system, channel optimization is influenced by channel attitude toward risk, in which risk is classified as general risk and interruption risk [10]. For individuals, P2P platform provides convenience for its financing or capital problems but also produces a series of risk problems, such as imperfect credit system, high moral hazard, and serious adverse selection [11]. At present, credit risk is the key content of risk research, and the research direction includes default characteristics analysis and platform reputation [12].…”
Section: Introductionmentioning
confidence: 99%
“…The closest adjacent link network is a network in which each node in the network can only be connected to the closest adjacent node K/2 on both sides of the network, where K is an even number less than or equal to IV, and the value of K is directly related to the dilution of the network. Obviously, the nearest neighbor link network model is a network model with a ring structure and periodic boundary conditions [19,20]. If the value K is large, the grouping factor C of the adjacent link network model is:…”
Section: Classification Of Complex Networkmentioning
confidence: 99%
“…In order to use the least square method (ordinary least square) for estimation, it is usually assumed that the random perturbation term and independent variable are independent of each other, and the random perturbation term is independent and identically distributed. However, the above model itself and the basic assumptions about the random perturbations have three problems: they ignore the lag effect of the independent variables, cannot handle the autocorrelation of the perturbations, and are misleadingly related [21].…”
Section: Model Setting and Identificationmentioning
confidence: 99%