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Chen J, Wang H, Chao X. Cross-platform opinion dynamics in competitive travel advertising: A coupled networks’ insight. Front Psychol 2022; 13:1003242. [DOI: 10.3389/fpsyg.2022.1003242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 09/28/2022] [Indexed: 11/13/2022] Open
Abstract
Social media platforms have become an important tool for travel advertisement. This study constructs the bounded confidence model to build an improved cross-platform competitive travel advertising information dissemination model based on open and closed social media platforms. Moreover, this study examines the evolution process of group opinions in cross-platform information dissemination with simulation experiments. Results reveal that based on strong relationships, the closed social media platform opinion leaders better guide in competitive travel advertising and can bring more potential consumers to follow. However, being an opinion leader on an open social media platform will not result in more consumer following.
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Shi H, Liu Z, Liu HC. A new linguistic preference relation-based approach for failure mode and effect analysis with dynamic consensus reaching process. Inf Sci (N Y) 2022. [DOI: 10.1016/j.ins.2022.08.043] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
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3
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Liu Z, Bi Y, Liu P. An evidence theory-based large group FMEA framework incorporating bounded confidence and its application in supercritical water gasification system. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.109580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
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4
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From diversity to consensus: Impacts of opinion evolution and psychological behaviours in failure mode and effect analysis. Appl Soft Comput 2022. [DOI: 10.1016/j.asoc.2022.109399] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
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Wansasueb K, Panmanee S, Panagant N, Pholdee N, Bureerat S, Yildiz AR. Hybridised differential evolution and equilibrium optimiser with learning parameters for mechanical and aircraft wing design. Knowl Based Syst 2022. [DOI: 10.1016/j.knosys.2021.107955] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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6
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Tong S, Sun B, Chu X, Zhang X, Wang T, Jiang C. Trust recommendation mechanism-based consensus model for Pawlak conflict analysis decision making. Int J Approx Reason 2021. [DOI: 10.1016/j.ijar.2021.05.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
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Tian X, Xu Z, Gu J, Herrera F. A consensus process based on regret theory with probabilistic linguistic term sets and its application in venture capital. Inf Sci (N Y) 2021. [DOI: 10.1016/j.ins.2021.02.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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8
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Yuan Y, Cheng D, Zhou Z. A minimum adjustment consensus framework with compromise limits for social network group decision making under incomplete information. Inf Sci (N Y) 2021. [DOI: 10.1016/j.ins.2020.11.014] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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9
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Wang W, Zhou H, Guo L. Emergency water supply decision-making of transboundary river basin considering government–public perceived satisfaction. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2021. [DOI: 10.3233/jifs-191828] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
The emergency supply of transboundary water resources is a prominent problem affecting the social and economic development of basin countries. However, current water supply decisions on transboundary water resources may ignore the psychological perception of multi-stakeholders, and the evolution of emergencies increases the uncertainty of decision making. Both factors would lead to the low acceptance of water-related decisions. Utility satisfaction, perceived losses, and quantity satisfaction were selected in this paper to identify the perceived satisfaction of upstream governments, downstream governments, and the public, respectively, over multiple decision-making stages. A modeling framework combining prospect theory and the multi-stage multi-objective programming methodology was then developed to measure the perceived satisfaction of different stakeholders in a watershed under emergency. A two-stage NSGA-II and TOPSIS based approach was adopted to find the optimal compromise solution to solve the model. The framework was applied in the Lancang–Mekong River basin to provide suggestions to decision makers. Upstream decision makers must choose a moderate proportional fairness degree when making emergency decisions to maximize the perceived satisfaction of all stakeholders. Meanwhile, the perceived loss of downstream countries with low water demand should be considered first in the formulation of emergency water supply plans. Furthermore, although water supply from upstream countries can improve perceived water quantity satisfaction of downstream publics, additional actions must still be taken to change the traditional concepts of the public.
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Affiliation(s)
- Weiwei Wang
- Business School, Hohai University, Nanjing, China
| | - Haiwei Zhou
- Business School, Hohai University, Nanjing, China
- International River Research Centre, Hohai University, Nanjing, China
- Jiangsu Provincial Collaborative Innovation Center of World Water Valley and Water Ecological Civilization, NanJing, China
| | - Lidan Guo
- Business School, Hohai University, Nanjing, China
- International River Research Centre, Hohai University, Nanjing, China
- Jiangsu Provincial Collaborative Innovation Center of World Water Valley and Water Ecological Civilization, NanJing, China
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Consensus reaching for social network group decision making by considering leadership and bounded confidence. Knowl Based Syst 2020. [DOI: 10.1016/j.knosys.2020.106240] [Citation(s) in RCA: 130] [Impact Index Per Article: 32.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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