旅游业的多利益相关者公平:算法可以从旅游管理中学到什么?
Peter Müllner1,2, Anna Schreuer2, Simone Kopeinik1
1Know Center Research GmbH, Graz, Austria.
Frontiers in big data
|October 6, 2025
概括
旅游业的算法推系统缺乏对利益相关者的需求的深入理解,导致公平性问题. 计算机科学和旅游管理之间的跨学科合作对于开发真正公平的系统至关重要.
科学领域:
- 计算机科学 计算机科学
- 旅游管理 旅游管理
- 人与计算机的交互
背景情况:
- 与推系统一样,算法决策支持系统在旅游业中被广泛使用.
- 这些系统可能无意中对环境,当地社区和其他利益相关者造成负面影响.
- 这部分是由于计算机科学界对复杂的现实世界利益相关者关系的理解有限.
研究的目的:
- 通过整合旅游管理的见解,在算法决策支持中为多利益相关者公平性提供研究信息.
- 为了比较计算机科学和旅游管理文学中的公平性方法.
- 突出跨学科合作的必要性,以提高旅游业的算法公平性.
主要方法:
- 进行了一次半系统的文献综述.
- 综合了旅游管理和计算机科学领域的文献.
- 分析了与利益相关者公平性相关的关键发现和方法.
主要成果:
- 旅游管理采用了定性,包容性和参与性的方法,以了解不同的利益相关者需求和规范性的公平性.
- 计算机科学往往侧重于描述因素和有限的数学标准,缺乏对利益相关者的需求的整体观点.
- 计算机科学中现有的算法公平性标准未能捕捉到旅游业中公平性的多维性质.
结论:
- 纯粹的算法研究在解决旅游业中多方利益相关者的公平性方面存在缺陷.
- 旅游管理为理解规范和整体公平提供了有价值的观点和方法.
- 未来的跨学科合作对于开发决策支持系统至关重要,这些决策支持系统真正支持旅游业的多利益相关者公平.
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