利用员工在线评价提高酒店竞争力在伟大的辞职
Haiyang Xia1, Birgit Muskat1, Huy Quan Vu2
1Research School of Management, Australian National University, Australia.
概括
"伟大的辞职"影响了酒店业,原因是员工经验不佳. 本研究引入了一个数据挖掘框架 (HENEX),以识别和解决影响酒店业工作者的负面因素.
科学领域:
- 商业和管理的管理.
- 数据科学数据科学数据科学
- 旅游和酒店业旅游和酒店业
背景情况:
- 大辞职给酒店业在COVID-19后的复苏带来了挑战.
- 负面的员工经验被认为是大辞职的主要驱动因素.
- 有限的实证研究存在于酒店员工的负面经验,阻碍有效的管理策略.
研究的目的:
- 提出和验证一个新的框架 (HENEX) 来识别导致酒店员工负面体验的因素.
- 分析COVID-19大流行影响这些负面因素的变化.
- 为酒店经理提供可操作的见解,以解决劳动力问题并保持竞争力.
主要方法:
- 利用数据挖掘技术来分析员工在线评论.
- 开发并应用了酒店业员工负面经验 (HENEX) 框架.
- 进行了一项涉及澳大利亚主要酒店的案例研究.
主要成果:
- 确定了导致澳大利亚酒店业负面员工体验的关键因素.
- 揭示了这些因素的转变,这些因素归因于COVID-19大流行.
- 证明了HENEX框架在分析员工情绪方面的有效性.
结论:
- HENEX框架提供了一种数据驱动的方法,以了解和减轻员工负面体验.
- 调查结果可以指导酒店经理制定有针对性的策略,以提高员工留守和运营弹性.
- 解决负面员工经历对于应对"大辞职"和确保行业竞争力至关重要.
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