Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104383
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.contributorSchool of Fashion and Textilesen_US
dc.creatorWen, Xen_US
dc.creatorXu, Xen_US
dc.creatorChoi, TMen_US
dc.creatorChung, SHen_US
dc.date.accessioned2024-02-05T08:49:19Z-
dc.date.available2024-02-05T08:49:19Z-
dc.identifier.issn2168-2216en_US
dc.identifier.urihttp://hdl.handle.net/10397/104383-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication Wen, X., Xu, X., Choi, T.-M., & Chung, S.-H. (2020). Optimal Pricing Decisions of Competing Air-Cargo-Carrier Systems—Impacts of Risk Aversion, Demand, and Cost Uncertainties. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(12), 4933–4947 is available at https://doi.org/10.1109/TSMC.2019.2930725.en_US
dc.subjectAir-cargo carrier systemsen_US
dc.subjectMean-variance (MV) theoryen_US
dc.subjectOptimizationen_US
dc.subjectRisk analysisen_US
dc.subjectStochastic supply chain systemsen_US
dc.titleOptimal pricing decisions of competing air-cargo-carrier systems - impacts of risk aversion, demand, and cost uncertaintiesen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage4933en_US
dc.identifier.epage4947en_US
dc.identifier.volume50en_US
dc.identifier.issue12en_US
dc.identifier.doi10.1109/TSMC.2019.2930725en_US
dcterms.abstractAir-cargo transportation has become increasingly important for global logistics systems nowadays. However, due to the intensive market competition and diverse uncertainties arising from demand and operating costs, the pricing decisions for air-cargo carriers are extremely challenging but underexplored. Besides, many airlines are holding risk-averse attitudes in decision making in order to survive in the highly volatile and competitive market. Therefore, in this paper, we apply the mean-variance theory to characterize the risk-averse behaviors of decision makers, and analytically derive the equilibrium prices for two competing risk-averse air-cargo carriers under demand and cost uncertainties. Then, we uncover how the crucial factors, like risk sensitivity coefficients, market competition, market share, demand uncertainty, and cost uncertainty, affect the carriers’ optimal prices. In addition, important cost thresholds and relative risk-averse attitude thresholds are identified. Our analytical results demonstrate the symmetry in the optimal prices and critical thresholds for the two carriers. Besides, we reveal the importance to consider both carrier’s own and the competitor’s risk attitudes and operating characteristics in decision making when market competition exists. Moreover, we reveal the direct and indirect impacts of risk attitudes on the optimal prices, thus highlighting the importance to integrate risk considerations into the optimal pricing decision framework. Finally, we show that market situations play a critical role in characterizing the effects of diverse parameters on the equilibrium prices, which should be carefully evaluated by decision makers in air-cargo carriers.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on systems, man, and cybernetics. Systems, Dec. 2020, v. 50, no. 12, p. 4933-4947en_US
dcterms.isPartOfIEEE transactions on systems, man, and cybernetics. Systemsen_US
dcterms.issued2020-12-
dc.identifier.scopus2-s2.0-85096640770-
dc.identifier.eissn2168-2232en_US
dc.description.validate202402 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberISE-0225-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThe Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS53099437-
dc.description.oaCategoryGreen (AAM)en_US
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