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2018
DOI: 10.1007/s10479-018-3095-5
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The impacts of dual overconfidence behavior and demand updating on the decisions of port service supply chain: a real case study from China

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Cited by 15 publications
(7 citation statements)
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“…Han et al constructed the revenue sharing model of port and shipping service supply chain based on system optimization and studied the revenue sharing decision-making problem of port and shipping service supply chain with government subsidy mechanism [17]. Liu et al constructed a decision model of dual overconfidence behavior and studied the effects of dual overconfidence behavior and demand renewal on supply chain decision-making by using the method of empirical research [18].…”
Section: Service Supply Chainmentioning
confidence: 99%
“…Han et al constructed the revenue sharing model of port and shipping service supply chain based on system optimization and studied the revenue sharing decision-making problem of port and shipping service supply chain with government subsidy mechanism [17]. Liu et al constructed a decision model of dual overconfidence behavior and studied the effects of dual overconfidence behavior and demand renewal on supply chain decision-making by using the method of empirical research [18].…”
Section: Service Supply Chainmentioning
confidence: 99%
“…However, one of the major drawbacks of these methods is that the weight ranking and decision rules of the location criteria are assessed according to human perception and experience, which are more or less biased, subjective, and difficult to quantify accurately (Canh and Notteboom, 2016). Another common concern is that the locations derived from the multi-attribute decision making are typically optimal at the macro level only, while from a microeconomic and operational perspective, there is no guarantee they would be able to attract sufficient demand from shippers to stay economically viable (Chang et al, 2015;Liu et al, 2018).…”
Section: Review Of Dry Port Location Studiesmentioning
confidence: 99%
“…Li et al [15] demonstrated that overconfidence is one of the most consistent, powerful and widespread cognitive biases that influence decision making in the context of random outcomes. Liu et al [16] studied the impact of dual overconfidence behaviour and demand updating on port service supply chain decision making. Xu et al [17] explored the impact of the logistics service provider' overconfidence behaviour on the decision making for a supply chain with demand surge.…”
Section: Introductionmentioning
confidence: 99%