生活方式、品牌形象和服务质量对顾客满意度的影响 金边理发店 den bagoes tanggul jember

Bagus Yurico, Feti Fatimah, Jekti Rahayu
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引用次数: 0

摘要

理发是人们每个月的必修课,男士也不例外。为了满足这些需求,理发服务业如雨后春笋般出现,提供理发服务,为男士提供特殊的头发护理。男士理发服务的经营形式是理发店。本研究旨在分析和测试生活方式、品牌形象和服务质量对 Den Bagoes Barbershop Tanggul 顾客满意度的影响。本研究的数据类型采用在线问卷形式的定量数据。本研究采用非概率抽样技术,样本人群为 140 名受访者。数据收集技术包括一手数据和二手数据。数据收集技术采用李克特量表。本研究的分析工具采用多元线性回归分析,并辅以工具测试、经典假设检验和假设检验。研究结果证明,生活方式对顾客满意度有显著影响。品牌形象对顾客满意度有显著影响。服务质量对顾客满意度有显著影响。变量模型的决定系数为 0.631。从这些数值中可以得出结论,生活方式、品牌形象和服务质量对顾客满意度值变化的形成有 63.1%的贡献,其余 36.9%由模型外的其他因素解释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PENGARUH GAYA HIDUP, CITRA MEREK DAN KUALITAS PELAYANAN TERHADAP KEPUASAN PELANGGAN BARBERSHOP DEN BAGOES TANGGUL JEMBER
Haircut is a necessity for people every month, men are no exception. To fulfill these needs, haircut services have sprung up that offer haircuts to special men's hair care. The form of business for men's haircut services is a barbershop. This study aims to analyze and test the role of lifestyle, brand image and service quality on customer satisfaction at Den Bagoes Barbershop Tanggul. The type of data in this study uses quantitative data in the form of online questionnaires. The sample population used in this study was 140 respondents with a non-probability sampling technique. Data collection techniques include primary data and secondary data. Data collection techniques using a Likert scale. The analytical tool in this study uses multiple linear regression analysis supported by instrument testing, classical assumption testing and hypothesis testing. The results of this study prove that lifestyle has a significant effect on customer satisfaction. Brand image has a significant effect on customer satisfaction. Service quality has a significant effect on customer satisfaction. The coefficient of determination in the variable model is 0.631. From these values ​​it can be concluded that lifestyle, brand image and service quality have a contribution of 63.1% to the formation of variations in customer satisfaction values, while the remaining 36.9% is explained by other factors outside the model.
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