Case study of a Templestay and temple visit in Korea using customer generated content to evaluate customer satisfaction

Angellie Williady, Hak-Seon Kim
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Abstract

Temple visit and Templestay is a unique cultural experience that allows individuals to take a break from their busy daily lives and immerse themselves in a peaceful and calming environment. Temple visit and stay are often associated with Buddhist practices, but temple stays are not necessarily religious in nature. Through meditation, mindfulness, and other practices, it provides individuals with an opportunity to disconnect from the stresses of modern life. Using big data analysis, this study aims to measure the satisfaction levels of Templestay participants in Korea. Specifically, this study will examine seven temples in Seoul that offer Templestay programs. Through Google Travel’s online review derived from Outscraper. This study utilized R program and UCINET 6.0 in order to refine, process and visualize data in order to examine the attributes that influence customer satisfaction. The top 60 words are divided into four different clusters which are “Unique Experience”, “Facility”, “Value” and “Relaxing”. The following step was the use of SPSS to carry out an exploratory factor analysis and linear regression analysis. The linear regression analysis indicated “relaxing” and “value” variables are positively affecting customer satisfaction.
利用客户生成的内容评估客户满意度的韩国寺庙住宿和寺庙参观案例研究
寺庙参访和寺庙寄宿是一种独特的文化体验,可以让人们从繁忙的日常生活中抽身出来,沉浸在宁静祥和的环境中。寺庙参访和寺庙寄宿通常与佛教修行有关,但寺庙寄宿并不一定是宗教性质的。通过冥想、正念和其他练习,寺庙为人们提供了一个摆脱现代生活压力的机会。通过大数据分析,本研究旨在衡量韩国寺庙寄宿参与者的满意度。具体来说,本研究将考察首尔七座提供 "庙宇寄宿 "项目的寺庙。通过谷歌旅游的在线评论,得出 Outscraper。本研究利用 R 程序和 UCINET 6.0 对数据进行提炼、处理和可视化,以研究影响客户满意度的属性。排名前 60 位的词语被分为四个不同的群组,分别是 "独特体验"、"设施"、"价值 "和 "放松"。下一步是使用 SPSS 进行探索性因素分析和线性回归分析。线性回归分析表明,"放松 "和 "价值 "变量对顾客满意度有积极影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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