Are hospitality/tourism curricula ready for big data?

Abstract

Purpose

The purpose of this paper is to establish a conceptual framework on how hospitality and tourism educators could incorporate new technology and big data analytics into program curriculum.

Design/methodology/approach

The research developed a logic model to visualize the benefits/impact of hospitality and tourism data analyst via a literature review approach.

Findings

The incorporation of statistics, research and the knowledge of data exploration, analysis and insight into hospitality programs would enhance students’ data analysis competencies.

Research limitations/implications

This is a literature review paper, based on philosophical perspectives from literature review. It would be nice to conduct an empirical study with regard to data analytics in the hospitality and tourism industry.

Practical implications

The hospitality and tourism program coordinators and/or directors are urged to inspire more students who are interested in adding statistics and accounting studies to the hospitality and tourism field. Also, the hospitality and tourism data analyst would secure attractive job offers as well as enhance the average salary of hospitality and tourism graduates.

Social implications

Hospitality and tourism data analytics would secure attractive job offers as well as enhance the average salary of hospitality and tourism graduates.

Originality/value

The paper explored the impact of big data analytics in the hospitality and tourism industry and made recommendations for hospitality and tourism data analytics curricula.

酒店/旅游课程设置是否做好了迎接大数据时代的准备？

研究目的

本论文旨在建立一个概念模型, 以指导酒店旅游教育者们如何引进新科技和大数据分析到现有的课程设置里.

研究设计/方法/途径

本论文通过文献综述的方式, 提出一个logic模型以描画酒店旅游数据分析的好处/影响。

研究结果

酒店课程里加入统计、研究方法和数据勘探的内容对于帮助学生提高数据分析能力有帮助。

研究理论限制

本论文采用概述的形式, 以文献综述的角度, 建立理论模型。如果可以加入实际模型测试, 比如针对酒店旅游业做实际的数据分析, 那么结果将更加丰富。

研究现实/社会意义

酒店旅游项目协调员和/或负责人应该鼓励更多对统计和会计有兴趣的学生从事酒店旅游业。此外, 酒店旅游数据分析员将获得令人羡慕的工作机会和优越的薪资以提高酒店旅游毕业生的平均薪资水平。

研究原创性/价值

本论文探索了大数据分析在酒店旅游业中的影响, 以及对酒店旅游数据分析课程设置做出建议。

关键词

大数据分析, 酒店旅游数据分析员, 数据科学家, 统计学和研究能力, 酒店旅游教育家, 运动学分析

纸张类型

文献评论

Citation

Ogbeide, G.-C., Fu, Y.-Y. and Cecil, A.K. (2021), "Are hospitality/tourism curricula ready for big data?", Journal of Hospitality and Tourism Technology, Vol. 12 No. 1, pp. 112-123. https://doi.org/10.1108/JHTT-09-2017-0081