five

Loyalty in Coffee Shop, Indonesia

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Mendeley Data2024-01-31 更新2024-06-26 收录
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The purpose of this study is to identify the drivers of loyalty model in the coffee shop industry in Indonesia based on service quality, store atmosphere and price fairness mediated by customer satisfaction. This is the first study integrating service quality, store atmosphere, price fairness and customer satisfaction to study the customer loyalty model in the coffee shop industry in Jakarta. The hypotheses are: Does service quality influence customer satisfaction? Does store atmosphere influence customer satisfaction? Does price fairness influence customer satisfaction? Does customer satisfaction influence customer loyalty? To collect the data, the instrument used in this study as the primary data was a survey divided into three sections: the introduction of research, respondent demographic (including gender, age, education, occupation and monthly expenditure) and the item statements to measure five constructs with 37 item statements. A 7-point Likert scale (1–strongly disagree to 7–strongly agree) was used to measure the constructs. Item statements for service quality were adjusted from Keshavarz et al. (2016) and Alhkami and Alarussi (2016), divided into 5 dimensions which are tangible with 5 item statements, reliability with 4 item statements, responsiveness with 3 item statements and both assurance and empathy with 3 item statements each. For store atmosphere, it was adjusted from Lee et al. (2018) and Hanaysha (2016), while price fairness, it was adjusted from Hanaysha (2016) and Jin et al. (2016) both consist of 4 item statements each. Furthermore, for satisfaction, item statements were adjusted from Lee et al. (2018) and Hanaysha (2016), and loyalty was adjusted from the questionnaire of Keshavarz et al. (2016) and Lee et al. (2018). The sample size used for this study was 384 customers from 16 most comfortable coffee shops in Jakarta based on Nibble’s survey in 2019. Confirmatory factor analysis was employed to confirm the attributes of each factor and to assess the validity and reliability, average variance extracted and composite reliability was applied. Further hypothesis testing was performed using structural equation modeling. The result shows that customer loyalty is affected by service quality – comprising 5 subdimensions: tangible, reliability, responsiveness, assurance and empathy – and price fairness mediated by customer satisfaction. It was found that service quality plays a significant role in the coffee shop industry in Indonesia. However, the store atmosphere was found rejected. This study was only conducted at 16 coffee shops out of 1,500 existing coffee shops in Jakarta area. Therefore, it is difficult to generalize the study in predicting customer loyalty to all types of coffee shop in Jakarta. Future study is suggested to compare with RSQS by Dabholkar et al. (1996) and DINESERV by Stevens et al. (1995). Cultural differences need to be added for further analysis.

本研究旨在以顾客满意度为中介变量,探究印度尼西亚咖啡店行业顾客忠诚模型的驱动因素,涵盖服务质量、门店氛围与价格公平性三大维度。本研究为首个整合服务质量、门店氛围、价格公平性及顾客满意度,针对雅加达咖啡店行业顾客忠诚模型展开的学术研究。本研究提出如下研究假设:服务质量是否会对顾客满意度产生影响?门店氛围是否会对顾客满意度产生影响?价格公平性是否会对顾客满意度产生影响?顾客满意度是否会对顾客忠诚产生影响?本研究的原始数据采集工具为调查问卷,问卷共分为三个模块:研究背景介绍、受访者人口统计学信息(包含性别、年龄、学历、职业与月均消费情况),以及用于测量5个构念的37项测评题项。本研究采用7点李克特量表(7-point Likert scale,1分代表完全不同意,7分代表完全同意)对各构念进行量化测评。服务质量测评题项改编自Keshavarz等人(2016)与Alhkami、Alarussi(2016)的研究成果,划分为5个子维度:有形性(含5项题项)、可靠性(含4项题项)、响应性(含3项题项)、保证性与移情性各含3项题项。门店氛围测评题项改编自Lee等人(2018)与Hanaysha(2016)的研究;价格公平性测评题项改编自Hanaysha(2016)与Jin等人(2016)的研究,二者均各包含4项题项。顾客满意度测评题项改编自Lee等人(2018)与Hanaysha(2016)的研究,顾客忠诚测评题项则改编自Keshavarz等人(2016)与Lee等人(2018)的问卷。本研究的有效样本量为384名顾客,受访者均来自2019年Nibble调研评选出的雅加达16家体验最佳的咖啡店。本研究采用验证性因子分析(Confirmatory factor analysis)验证各因子的属性,并评估其效度与信度,同时计算平均方差提取值与组合信度。后续假设检验采用结构方程模型(structural equation modeling)完成。研究结果显示,顾客忠诚受到服务质量(包含有形性、可靠性、响应性、保证性与移情性5个子维度)与价格公平性的影响,且该影响以顾客满意度为中介变量。本研究证实服务质量在印尼咖啡店行业中发挥着显著作用,但门店氛围的研究假设未获得实证支持。本研究仅针对雅加达现有1500家咖啡店中的16家展开调研,因此难以将研究结论推广至雅加达所有类型的咖啡店。未来研究建议采用Dabholkar等人(1996)提出的RSQS量表与Stevens等人(1995)提出的DINESERV量表进行对比研究,并可加入文化差异维度开展进一步分析。
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2024-01-31
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