美容服务便利性和价值消费对满意度和回访率的影响

Sun-Young Yang, Yong-mi Jin
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摘要

通过SPSS 24.0软件对314份问卷进行频率分析、因子分析、信度分析和多元回归分析,找出便利性和价值消费对满意度和重访的影响。结果如下:美容服务的便利性是两个因素:方便和使用方便,价值消费是三个因素:社会价值、情感价值和实用价值,满意度和回访是在一个维度上推导出来的。美容服务便利性对满意度和重访的影响均为正,价值消费对满意度和重访的影响为正。所得结论如下:首先,必须寻求强化持续能力,例如在美容服务的整个人力和物质构成中投入资金,并提供线上和线下的美容服务。其次,要培养专业的美容技术,稳步培训员工,加强服务,识别和落实客户的各种价值消费方向。第三,通过顾客的年龄、职业、光顾模式等优秀的顾客数据,提高顾客的满意度和回访率,提高发廊的美容服务质量,促进美容行业的发展和竞争力。今后,预计将继续进行收集调查结果,计算统计数据并进行比较分析,优先考虑性别和年龄的均匀分布等多种变量的研究。
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The Effect of Convenience and Value Consumption of Beauty Service on Satisfaction and Revisit
Frequency analysis, factor analysis, reliability analysis, and multiple regression analysis were conducted using a total of 314 questionnaires through SPSS 24.0 to find out the effect of convenience and value consumption on satisfaction and revisit. The results are as follows. Beauty service convenience is two factors: convenience and convenience of use, and value consumption is three factors: social value, emotional value, and practical value, and satisfaction and revisit were derived in a single dimension. The effect of beauty service convenience on satisfaction and revisit was all positive, and value consumption was found to have a positive effect on satisfaction and revisit. The resulting conclusions are as follows. First, it is necessary to seek to strengthen continuous capabilities, such as investing capital throughout the human and material composition of beauty services and providing beauty services online and offline. Second, it is necessary to cultivate professional beauty technology and steadily train employees to strengthen services to identify and implement various direction of value consumption of customers. Third, customer management is needed to increase satisfaction and revisit through excellent customer data such as age, occupation, and visit pattern, and the quality of hair shops' beauty services is expected to help the development and competitiveness of the beauty industry. In the future, it is expected that research applying various variables will continue, such as collecting survey results and calculating statistics and comparing and analyzing them, prioritizing even distribution by gender and age.
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