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A Systematic Literature Review on Hospitality Analytics

机译:招待性分析的系统文献综述

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With the growth of data generated by all systems involved in a hotel, terms like big data and business analytics (BA) gain strength within the hotel industry. Business analytics can be used in hospitality management to increase business knowledge and to improve the decision-making process. This study's main questions are: RQ1 – Which are the main research attributes studied in the past two decades related to analytics in the hospitality sector? RQ2 – What are the main differences between business intelligence and business analytics? RQ3 – What are the main trends in business analytics? RQ4 – Which are the main business intelligence perceptions and beliefs? To answer these research questions, this article provides a literature review to systematize the research made in business analytics information systems in the hospitality industry. The results can help identify different research attributes and the most relevant theories developed in the past two decades related to business analytics tools.
机译:随着涉及酒店所涉及的所有系统生成的数据,术语如大数据和商业分析(BA)在酒店业中获得实力。商业分析可用于热情好客管理,以提高业务知识,并提高决策过程。本研究的主要问题是:RQ1 - 这是过去二十年来研究的主要研究属性,与酒店部门的分析有关吗? RQ2 - 商业智能和业务分析之间的主要差异是什么? RQ3 - 业务分析的主要趋势是什么? RQ4 - 这是主要的商业智力看法和信仰?为了回答这些研究问题,本文提供了一个文献综述,以系统化了招待所业务分析信息系统中的研究。结果可以帮助识别不同的研究属性以及过去二十年的最相关理论与业务分析工具相关。

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