How Tourist Group Books Hotels Meeting the Majority Affective Expectations: A Group Selection Frame with Kansei Text Mining and Consensus Coordinating-Reference-Cited by-同舟云学术

How Tourist Group Books Hotels Meeting the Majority Affective Expectations: A Group Selection Frame with Kansei Text Mining and Consensus Coordinating

Published:2022-12-24 Issue: Volume: Page:
ISSN:0926-2644
Container-title:Group Decision and Negotiation
language:en
Short-container-title:Group Decis Negot

Author:

Chang Jia-Li,Li Hui,Wu Jian

Funder

the National Natural Science Foundation of China

the Liberal Arts Development Fund of Nankai University

the One Hundred Talents Program of Nankai University

Publisher

Springer Science and Business Media LLC

Subject

Management of Technology and Innovation,Strategy and Management,General Social Sciences,Arts and Humanities (miscellaneous),General Decision Sciences

Link

https://link.springer.com/content/pdf/10.1007/s10726-022-09810-0.pdf

Reference47 articles.

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3. Cao M, Wu J, Chiclana F, Ureña R, Herrera-Viedma E (2020) A personalized consensus feedback mechanism based on maximum harmony degree. IEEE Trans Syst Man Cybern A 51(10):6134–6146

4. Casaló L, Flavián C, Guinalíu M, Ekinci Y (2015) Do online hotel rating schemes influence booking behaviors? Int J Hosp Manage 49:28–36

5. Chang J, Li H, Bi J (2021) Personalized travel recommendation: a hybrid method with collaborative filtering and social network analysis. Curr Issues Tour 25(14):2338–2356

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