I Wayan Tisyadana, Luh Komang Candra Dewi
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引用次数: 0

摘要

本研究旨在确定消费者在使用Go-Jek应用程序中的Go-Food外卖服务时考虑的因素和因素是最主要的。本研究设计采用SPSS version 24分析工具进行定量描述性分析。本研究采用目的抽样法抽取100名调查对象作为研究样本。本研究采用的研究方法以因子分析为基础,资料收集采用访谈、文献、问卷等方法。本研究结果表明,在总共20个自变量中,只有15个自变量可以进一步分析。在因子旋转过程后的15个变量中,有5个主要成分。新因子的命名是根据构成因子的变量来确定的。第一个因子是服务质量和应用因子,其特征值最高,为5.664,能够解释总方差的37.759%。第二个因子是个体因子,其特征值为2.504,方差百分比为16.692%。第三是价格因子,特征值为2.262,总方差为15.083%。第四教员是一个社会因素,其特征值为1.359,总方差为9.062%。第五个因素是生活方式因素,其特征值为1.091,能够解释总方差的7.273%。对公司始终保持服务质量及其应用程序质量的影响,以及对与个人因素和服务质量相比具有小特征值值的价格,社会和生活方式因素的评估。关键词:购买决策,消费者行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FAKTOR-FAKTOR YANG DIPERTIMBANGKAN KONSUMEN DALAM MENGGUNAKAN JASA DELIVERY GO-FOOD PADA APLIKASI GO-JEK DI KABUPATEN BADUNG
This study aims to determine what factors and which factors are the most dominant that consumers consider in using the Go-Food delivery service in the Go-Jek application in Badung Regency. The design of this study used quantitative descriptive analysis with SPSS version 24 analysis tool. This study used 100 respondents as the research sample drawn based on the purposive sampling method. The research method applied in this study is based on analysis of factor analysis with data collection techniques used are interviews, documentation, questionnaires. The results of this study show that only 15 independent variables can be analyzed further from a total of 20 independent variables. Of the 15 variables after the factor rotation process, there are five main components. The naming of new factors is determined according to the variables that make up the factor. The first factor is the service quality and application factors that have the highest eigenvalue value of 5.664 and are able to explain the total variance of 37.759%. The second factor is the individual factor with an eigenvalue value of 2.504 with a variance percentage of 16.692%. The third is the price factor with an eigenvalue value of 2.262 with a total variance of 15.083%. The fourth faculty is a social factor that has an eigenvalue of 1.359 with a total variance of 9.062%. The fifth factor is the lifestyle factor with an eigenvalue value of 1.091 which is able to explain the total variance of 7.273%. Implications for companies to always maintain service quality and also the quality of their applications, as well as to evaluate price, social and lifestyle factors that have small eigenvalue values compared to individual factors and service quality.Keywords: purchasing decisions, consumer behavior.
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