{"title":"拉蒙根地区银行实施关系营销对客户满意度和忠诚度的影响","authors":"Mahrus Dwi Fariandono, Yuhronur Efendi, Dhita Dhora Damayanti, Sugeng Dwi Hartantyo","doi":"10.24034/icobuss.v3i1.389","DOIUrl":null,"url":null,"abstract":"The purpose of study This is for know How influence Relationship Marketing to satisfaction customers and loyalty customers at the Lamongan Regional Bank, with use questionnaire as a research instrument sample in study This as many as 100 people. In research This researcher use technique quantitative statistics process use the application on the computer is PLS ( Partial Least Square) . Data analysis _ used that is analysis Structural Equation Modeling (SEM), Partial Least Square (PLS), Evaluation of Measurement Models ( Outer Model ), Evaluation of Strutural Models ( inner model ) and Hypothesis Testing ( Bootstrapping ). The results of the PLS output show that the Strutural Model ( inner R-Square model variable X1 (Relationship Marketing towards variable Y 1 ( Satisfaction Customer ) is of 0.888 with Adjusted R-Square value is 0.883. So, you can explained that all construct exogenous variable X1 (Relationship Marketing) . simultaneously influence variable Y1 ( Satisfaction Customers ) amounted to 0.888 or 88.8%. Therefore _ That The R-Square value is 0.888 said strong . The R-Square value of the variable X1 ( Relationship Marketing ) towards variable Y2 ( Loyalty Customer ) is of 0.789, with Adjusted R-Square value is 0.785. So, you can explained that all construct exogenous variable X1 (Relationship Marketing simultaneously influence variable Y2 ( Loyalty Customer ) 0.789 or 78.9.3%.","PeriodicalId":511596,"journal":{"name":"International Conference of Business and Social Sciences","volume":"57 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"THE INFLUENCE OF RELATIONSHIP MARKETING IMPLEMENTATION ON CUSTOMER SATISFACTION AND LOYALTY IN LAMONGAN REGIONAL BANK\",\"authors\":\"Mahrus Dwi Fariandono, Yuhronur Efendi, Dhita Dhora Damayanti, Sugeng Dwi Hartantyo\",\"doi\":\"10.24034/icobuss.v3i1.389\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of study This is for know How influence Relationship Marketing to satisfaction customers and loyalty customers at the Lamongan Regional Bank, with use questionnaire as a research instrument sample in study This as many as 100 people. In research This researcher use technique quantitative statistics process use the application on the computer is PLS ( Partial Least Square) . Data analysis _ used that is analysis Structural Equation Modeling (SEM), Partial Least Square (PLS), Evaluation of Measurement Models ( Outer Model ), Evaluation of Strutural Models ( inner model ) and Hypothesis Testing ( Bootstrapping ). The results of the PLS output show that the Strutural Model ( inner R-Square model variable X1 (Relationship Marketing towards variable Y 1 ( Satisfaction Customer ) is of 0.888 with Adjusted R-Square value is 0.883. So, you can explained that all construct exogenous variable X1 (Relationship Marketing) . simultaneously influence variable Y1 ( Satisfaction Customers ) amounted to 0.888 or 88.8%. Therefore _ That The R-Square value is 0.888 said strong . The R-Square value of the variable X1 ( Relationship Marketing ) towards variable Y2 ( Loyalty Customer ) is of 0.789, with Adjusted R-Square value is 0.785. So, you can explained that all construct exogenous variable X1 (Relationship Marketing simultaneously influence variable Y2 ( Loyalty Customer ) 0.789 or 78.9.3%.\",\"PeriodicalId\":511596,\"journal\":{\"name\":\"International Conference of Business and Social Sciences\",\"volume\":\"57 6\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference of Business and Social Sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.24034/icobuss.v3i1.389\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference of Business and Social Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24034/icobuss.v3i1.389","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
研究目的是了解关系营销如何影响拉蒙甘地区银行的满意度客户和忠诚度客户,研究使用问卷作为研究工具,研究样本多达 100 人。在研究过程中,研究人员使用了定量统计技术,在计算机上使用的应用程序是 PLS(部分最小平方)。数据分析_使用的是结构方程建模(SEM)、偏最小二乘法(PLS)、测量模型评估(外模型)、结构模型评估(内模型)和假设检验(Bootstrapping)。PLS 输出结果显示,结构模型(内部模型)变量 X1(关系营销对变量 Y1(客户满意度))的 R 方值为 0.888,调整 R 方值为 0.883。因此,可以说明所有构造外生变量 X1(关系营销)同时对变量 Y1(满意度客户)的影响达到了 0.888 或 88.8%。因此,R 方值为 0.888 说明变量 Y1(客户满意度)具有很强的影响力。变量 X1(关系营销)对变量 Y2(忠诚客户)的 R 平方值为 0.789,调整后的 R 平方值为 0.785。因此,可以说明所有构造外生变量 X1(关系营销)同时影响变量 Y2(忠诚客户)0.789 或 78.9.3%。
THE INFLUENCE OF RELATIONSHIP MARKETING IMPLEMENTATION ON CUSTOMER SATISFACTION AND LOYALTY IN LAMONGAN REGIONAL BANK
The purpose of study This is for know How influence Relationship Marketing to satisfaction customers and loyalty customers at the Lamongan Regional Bank, with use questionnaire as a research instrument sample in study This as many as 100 people. In research This researcher use technique quantitative statistics process use the application on the computer is PLS ( Partial Least Square) . Data analysis _ used that is analysis Structural Equation Modeling (SEM), Partial Least Square (PLS), Evaluation of Measurement Models ( Outer Model ), Evaluation of Strutural Models ( inner model ) and Hypothesis Testing ( Bootstrapping ). The results of the PLS output show that the Strutural Model ( inner R-Square model variable X1 (Relationship Marketing towards variable Y 1 ( Satisfaction Customer ) is of 0.888 with Adjusted R-Square value is 0.883. So, you can explained that all construct exogenous variable X1 (Relationship Marketing) . simultaneously influence variable Y1 ( Satisfaction Customers ) amounted to 0.888 or 88.8%. Therefore _ That The R-Square value is 0.888 said strong . The R-Square value of the variable X1 ( Relationship Marketing ) towards variable Y2 ( Loyalty Customer ) is of 0.789, with Adjusted R-Square value is 0.785. So, you can explained that all construct exogenous variable X1 (Relationship Marketing simultaneously influence variable Y2 ( Loyalty Customer ) 0.789 or 78.9.3%.