Evidence map›Paper›PMID 36405873›Full record

ArticleOcean & coastal management2023

Analysis of a maritime transport chain with information asymmetry and disruption risk.

Nenggui Zhao, Zhipeng Wang, Xiang Ji, Hong Fu, Qiang Wang

Abstract read
In one paragraph

Article in Ocean & coastal management, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nenggui ZhaoSchool of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, China.
Zhipeng WangSchool of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, China.
Xiang JiSchool of Management, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230026, China.
Hong FuSchool of Management, Hefei University of Technology, 193 Tunxi Road, Hefei, 230009, China.
Qiang WangSchool of Management, University of Science and Technology of China, 96 Jinzhai Road, Hefei, 230026, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Maritime transport chain is facing huge information asymmetry after the outbreak of major emergencies, such as COVID-19 epidemic. The previous literature has proved that information investing and information sharing are two effective tactics to relieve information asymmetry between supply chain nodes, and help them improve the performance of the supply chain. This paper assumes random demand disruption is the main cause of the information asymmetry in a maritime transportation chain. To explore how the random demand disruption and channel competition jointly impact operational decisions in a dual-channel maritime transport chain composed of one port, two carriers and shippers, we construct a game-theoretical basic model, and proposed two strategies, i.e., information investing and information sharing. Several significant managerial insights are derived. First, we find that inaccurate disruption information leads to inaccurate decisions and huge losses; Second, investing in precise information benefits the port only if the chain members are optimistic about the market, and improves the revenue of the carrier who invested in information if the investment cost is reasonable; Third, accepting information sharing benefits the port only when the precise disruption and the distortion of information are relatively large, as well as the misappropriate rate is relatively small; and only when the port is pessimistic about the market or the channel competition is weak, sharing information may hurt the carrier who invested in information. Finally, the strength of the channel competition will enhance the impact of information inaccuracy on the maritime transport chain.

Indexed as

COVID-19Game theoryInformation asymmetryMaritime transport chainRandom demand disruption

Identifiers

PMID36405873
PMCPMC9650628

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.