服务质量、关系质量对港口绩效的影响及其对港口顾客满意度的影响Priok雅加达印度尼西亚

Abdul Rachman, Ahmad Wahid
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The model consists of sub-structures including Service Quality and Relationship Quality as exogenous variables, Port Performance as an intervening variable, and Customer Satisfaction as the endogenous variable. The primary components of the model consist of two indirect structures: the first examines the effect of Service Quality and Relationship Quality on Port Performance, while the second considers the direct effect of Service Quality and Relationship Quality on Customer Satisfaction. The R Square test on the inner model is one way to measure how much an endogenous variable can be explained by the related exogenous variables. In the following explanation, we will explain in more detail about the R Square concept in the inner model and how its use can help to understand the interrelationships between variables in a model. 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引用次数: 0

摘要

本研究旨在检验与分析服务品质、关系品质对港口绩效的影响,进而对港口顾客满意度产生影响。印尼的Priok Jakarta。该组织对雅加达港口绩效的影响。对Priok的有机员工进行了部分或间接的研究。使用斯洛文公式从100人中选出70人作为样本。本研究采用描述性和联想解释相结合的调查方法。数据通过结构方程建模(SEM- SMART PLS)使用描述性和推断性统计收集。该模型由服务质量和关系质量作为外生变量、港口绩效作为中介变量、客户满意度作为内生变量的子结构组成。该模型的主要组成部分由两个间接结构组成:第一个结构检查服务质量和关系质量对港口绩效的影响,而第二个结构考虑服务质量和关系质量对客户满意度的直接影响。内部模型的R方检验是衡量内源性变量可以被相关外源性变量解释多少的一种方法。在下面的解释中,我们将更详细地解释内部模型中的R平方概念,以及如何使用它来帮助理解模型中变量之间的相互关系。以下是本研究模型的回归分析结果:结果显示:R平方R平方调整后的顾客满意度0.493 - 0.471端口绩效0.251 - 0.230有正显著的影响。以下是对模型中两个内生变量Customer Satisfaction和Port Performance进行R Square和R Square Adjusted检验的结果。客户满意度的R平方为0.493,这意味着大约49.3%的客户满意度变化可以通过与这些变量相关的外生变量来解释。同时,调整后的R平方为0.471,这表明在考虑模型的复杂性后,约有47.1%的顾客满意度变化可以被模型中的外生变量解释。Port Performance的R平方为0.251,这意味着大约25.1%的Port Performance变化可以通过与这些变量相关的外生变量来解释。同时,调整后的R平方为0.230,这表明在考虑模型的复杂性后,模型中约有23.0%的Port Performance变化可以由外生变量解释。
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The Influence of Service Quality, Relationship Quality on Port Performance Which has Implications For Customer Satisfaction at The Port Tg. Priok Jakarta Indonesia
This study aims to examine and analyze the effect The Influence of Service Quality, Relationship Quality On Port Performance Which Has Implications For Customer Satisfaction At The Port Tg. Priok Jakarta Indonesia. The influence of the organization on the performance of Jakarta's Port tg.priok was studied with regard to its organic employees, either partially or indirectly. A sample of 70 people was selected from a population of 100 people using the Slovin formula. This research employs a survey method with descriptive and associative explanation techniques. Data was collected using both descriptive and inferential statistics through Structural Equation Modeling (SEM- SMART PLS). The model consists of sub-structures including Service Quality and Relationship Quality as exogenous variables, Port Performance as an intervening variable, and Customer Satisfaction as the endogenous variable. The primary components of the model consist of two indirect structures: the first examines the effect of Service Quality and Relationship Quality on Port Performance, while the second considers the direct effect of Service Quality and Relationship Quality on Customer Satisfaction. The R Square test on the inner model is one way to measure how much an endogenous variable can be explained by the related exogenous variables. In the following explanation, we will explain in more detail about the R Square concept in the inner model and how its use can help to understand the interrelationships between variables in a model. Following are the results of the regression analysis in this research model: The results showed that there was a positive and significant effect R Square R Square Adjusted Customer Satisfaction 0.493 - 0.471 Port Performance 0.251 - 0.230 . The following are the results of the R Square and R Square Adjusted tests on two endogenous variables in a model, namely Customer Satisfaction and Port Performance. Customer Satisfaction has an R Square of 0.493, which means that around 49.3% of the variation in Cust Satisfaction can be explained by exogenous variables associated with these variables. Meanwhile, the R Square Adjusted is 0.471, which indicates that around 47.1% of the variation in customer satisfaction can be explained by exogenous variables in the model, after taking into account the complexity of the model. Port Performance has an R Square of 0.251, which means that about 25.1% of Port Performance variations can be explained by exogenous variables associated with these variables. Meanwhile, the R Square Adjusted is 0.230, which indicates that around 23.0% of the variation in Port Performance can be explained by exogenous variables in the model, after taking into account the complexity of the model.
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