ANALISIS FAKTOR – FAKTOR YANG DIPERTIMBANGKAN KONSUMEN DALAM MENGGUNAKAN JASA LAYANAN EKSPEDISI POS INDONESIA

Fikri Muhammad Ali, Susanti Ety Dwi
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引用次数: 1

Abstract

Pos Indonesia is a company engaged in goods delivery services that already have about 24,000 service points that reach almost all sub-districts and villages/ villages, to remote locations in Indonesia. This study explains what factors consumers consider in using Pos Indonesia expedition services, which aims to know what factors influence consumers in using Pos Indonesia expedition services. Research method using quantitative research type, Factors - factors studied is marketing mix (7P). In this study, the population is Kebon Rojo Surabaya post office, while the sample is as many as 100 respondents who have used Pos Indonesia expedition services. The sample is obtained from unknown population formula with accidental sampling method that uses criteria to be considered as a sample (Purposive Sampling). The results of the calculation of factor analysis by including 18 variables obtained that KMO measure of sampling adequency (MSA) of 0.858 and barlett's test of 672,998 with a significance rate of 0.000. Based on the analysis of factors using rotation (varimax) it can be obtained manifest variables with a total of 4 new factors, namely consumer satisfaction factors, service factors, consumer perception factors, and Branding factors. Of the 4 new factors obtained, the four factors qualify as factors because they have an eign value of more than 1, and the most considered variable is a comfortable waiting room variable.
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因素分析——消费者在使用印尼邮政探险服务时考虑的因素
印度尼西亚邮政公司是一家从事货物递送服务的公司,已经拥有大约24,000个服务点,覆盖印度尼西亚几乎所有的街道和村庄,以及偏远地区。本研究解释了消费者在使用Pos印尼探险服务时会考虑哪些因素,旨在了解哪些因素会影响消费者使用Pos印尼探险服务。研究方法采用定量研究型,因素-因素研究的是营销组合(7P)。在本研究中,人口是Kebon Rojo泗水邮局,而样本是多达100名受访者谁使用过印尼邮政远征服务。样本是用随机抽样方法从未知总体公式中获得的,该方法使用标准作为样本(目的抽样)。纳入18个变量的因子分析计算结果得到KMO抽样充分性测度(MSA)为0.858,barlett检验为672,998,显著率为0.000。在对因素进行旋转法(variimax)分析的基础上,可以得到总共4个新因素的显变量,分别是消费者满意因素、服务因素、消费者感知因素和品牌因素。在得到的4个新因素中,这4个因素都有大于1的外因值,被考虑最多的变量是舒适候诊室变量。
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