模拟使用用户生成内容遇到的服务体验:一个文本挖掘方法.
Arpan Kumar Kar1, Sunil Kumar1, P Vigneswara Ilavarasan1
1Department of Management Studies, Indian Institute of Technology, Delhi, New Delhi India.
概括
这项研究分析了791,804条推文,确定了影响印度旅游客户服务体验的关键因素. 调查结果显示,印度各地的服务预期和满意度存在显著的区域差异.
科学领域:
- 服务科学科学 服务科学
- 旅游管理 旅游管理
- 计算社会科学 计算社会科学
背景情况:
- 印度旅游业经历了显著的增长,各种利益相关者的兴趣越来越大.
- 客户服务遇到的情况对旅游服务消费有着深远的影响.
- 在接触点测量服务体验存在挑战.
研究的目的:
- 确定影响印度旅游业客户服务体验的因素.
- 用社交媒体数据分析这些因素.
- 模拟印度不同地区的服务体验.
主要方法:
- 挖掘和分析791,804条与印度旅游服务相关的推文.
- 使用主题建模,主题关联挖掘和情绪分析.
- 应用推论分析对印度五个区域 (北,南,东,西,东北) 的模型因素.
主要成果:
- 确定了关键因素:可访问性,住宿,保证性,文化吸引力,Jugaadu服务灵活性,清洁性,热情好客,价格,餐厅和安全性.
- 在这些因素的重要性和影响方面,区域间有显著的变化.
- 强调了影响印度旅游业客户服务体验的因素的高度位置特异性.
结论:
- 印度旅游业的客户服务体验是由一系列不同的因素决定的.
- 这些因素的影响和重要性在印度各地呈现出相当大的区域差异.
- 这些发现对学术理论和旅游服务管理的实际策略都有宝贵的意义.
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