东北大学学报(自然科学版) ›› 2023, Vol. 44 ›› Issue (10): 1506-1513.DOI: 10.12068/j.issn.1005-3026.2023.10.018

• 管理科学 • 上一篇    下一篇

考虑需求信息和电子口碑的酒店合作伙伴选择方法

尤天慧1, 张茜婷1, 曹兵兵2, 袁媛1   

  1. (1. 东北大学 工商管理学院, 辽宁 沈阳110169; 2. 广州大学 管理学院, 广东 广州510006)
  • 发布日期:2023-10-27
  • 通讯作者: 尤天慧
  • 作者简介:尤天慧(1967-),女,黑龙江宾县人,东北大学教授,博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(72002054); 广东省科技计划项目(2020A1414010084); 广东省基础与应用基础研究基金资助项目(2020A1515110618); 广州市教育局高校科研项目(202032853).

Method for Hotel Partner Selection Considering Demand Information and Electronic Word-of-Mouth

YOU Tian-hui1, ZHANG Xi-ting1, CAO Bing-bing2, YUAN Yuan1   

  1. 1. School of Business Administration, Northeastern University, Shenyang 110169, China; 2. School of Management, Guangzhou University, Guangzhou 510006, China.
  • Published:2023-10-27
  • Contact: CAO Bing-bing
  • About author:-
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摘要: 考虑旅行社在选择合作酒店时会关注备选酒店的需求信息和电子口碑的发展趋势,提出一种考虑这两类信息的酒店合作伙伴选择方法.首先基于备选酒店需求和电子口碑信息构建有向加权图,具体地,依据备选酒店的需求信息确定有向加权图节点权重,并给出一种考虑备选酒店电子口碑横向、纵向发展趋势的权重修正系数,用来计算时间权重,在此基础上,采用TOWGA算子计算备选酒店的电子口碑评价值,并依据评价值进行两两酒店比较来确定有向边及其权重;然后基于PageRank算法求解各备选酒店的排序值;最后通过一个实例分析说明本文提出方法的可行性和有效性.

关键词: 需求信息;电子口碑;时间权重;PageRank;酒店合作伙伴选择

Abstract: Considering that travel agencies will pay attention to the demand information and electronic word-of-mouth(e-WOM)development trend of each alternative hotel when choosing partners, a method for hotel partner selection is proposed based on both information. First, the directed and weighted graph is constructed, in which the weight of the node is determined based on the demand information. Further, a time weight correction coefficient that considers the horizontal and vertical development trends of the alternatives’ e-WOM information is proposed to calculate the weight of each stage, and the TOWGA operator is used to calculate the attribute performance of each alternative hotel. By comparing the e-WOM attribute performance, the directed edge and its weight are determined. Then, the algorithm for calculating the ranking value of the alternative hotels is given based on PageRank. Finally, an example is used to verify the feasibility and effectiveness of the proposed method.

Key words: demand information; electronic word-of-mouth(e-WOM); time weight; PageRank; hotel partner selection

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