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Effect of relationship marketing on hospital loyalty: the mediating role of patient satisfaction

忠诚 营销 关系营销 忠诚商业模式 顾客满意度 比例(比率) 患者满意度 非概率抽样 人口 心理学 描述性统计 医学 业务 护理部 市场营销管理 服务质量 服务(商务) 环境卫生 统计 地理 地图学 数学
作者
Yonca Yıldırım,Mustafa Amarat,Mahmut Akbolat
出处
期刊:International Journal of Pharmaceutical and Healthcare Marketing [Emerald Publishing Limited]
卷期号:16 (3): 337-353 被引量:15
标识
DOI:10.1108/ijphm-01-2021-0010
摘要

Purpose This study aims to reveal the mediating role of patient satisfaction on the impact of relationship marketing on hospital loyalty. Design/methodology/approach The scale questionnaires used in the study was the Relationship Marketing, Hospital Loyalty and the Patient Satisfaction Scale. The population of the study is made up of the patients who received in-hospital services in private hospitals operating in Kocaeli province. The field study was conducted between August 1 and October 31, 2019. After determining the sample size, the study was conducted on 401 patients in private hospitals primarily using the purposive sampling method. Descriptive statistics, correlation analysis and statistical package for the social sciences Process Macro were used to analyze the data. Findings According to the findings of this study, patient satisfaction has an effect on hospital loyalty. Relationship marketing has an impact on hospital loyalty, and this effect is further enhanced by patient satisfaction. In other words, patient satisfaction has a mediating role in the impact of relationship marketing on hospital loyalty. Relationship marketing plays an important role in creating hospital loyalty and patient satisfaction. For this reason, it is recommended that health institutions adopt relationship marketing practices. Hospital loyalty and patient satisfaction will be ensured through relationship marketing. This will allow the health-care institution to continue to exist and to be more advantageous than other institutions. Originality/value The uniqueness of the paper lies not only in the only regression findings but also in the methodology used to capture the impact of the lagged effect of marketing relationships on hospital loyalty. Specifically, a regression model is based on both direct and indirect effects.

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