基于大数据的旅游业人力资源信息服务研究

Study on Information Services for Tourism Service Personnel Based on Big Data

大数据时代,旅游业大数据呈现了爆炸式增长的趋势。研究如何利用大数据为旅游业从业人员提供信息服务,提升他们的综合服务技能和工作满意度。首先,提炼了旅游服务业大数据资源的类型及分布,分析了旅游业大数据资源的特性;其次,借鉴马斯洛需求理论分析了旅游业从业人员的信息需求内容及其层次;然后,提炼了在大数据支撑下为旅游服务业从业人员提供的信息服务内容,并提出了相应的信息服务模式;最后,构建了基于Hadoop的旅游服务业从业人信息集成服务平台系统架构。通过研究,为旅游行业整合和分析面向从业人员的信息资源提供基本的思路和框架。

Data Explosion in tourism is irreversiblein the context of big data times. The paper studies how big data can help tourism industry personnel to improvetheir comprehensive service quality and job satisfaction.Firstly, types their distributions of big data resources in tourism are extracted. Then their features of these data are analyzed. Next,the content and hierarchy of information that tourism service personnel need are analyzed based on Maslow＇s Hierarchy of Needs. And then, types of information services are extracted with the assist of big data, as well as information service mode. Lastlya framework of information services for tourism personnel is built based on Hadoop. Research in this paper is referential for analysis and integration of big data useful for tourism services personnel.