产品质量、价格和口碑对购买兴趣的影响——以滨江Tretes粥为例

Selfira Yap, M. U. M. Putra, Syafrida Damanik
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引用次数: 0

摘要

中小企业是一个地区经济增长的支柱之一。中小企业可以通过提高周围人的购买兴趣来发展。购买兴趣是消费者通过观察产品而产生的对产品的欲望。本研究为定量研究,样本为109人。本研究主要研究产品质量、价格和口碑对兴趣购买的影响:以Bubur Tretes bingai为例。这项研究是在滨海进行的。本研究的人群是位于滨海的Bubur Tretes的顾客。研究人员得出结论,对109名受访者进行抽样调查。主要数据采用问卷调查的方式收集。采用结构方程建模-偏最小二乘(SEM-PLS)方法对数据进行分析。本研究结果表明,产品质量变量(X1)对购买兴趣有部分显著影响,价格变量(X2)对购买兴趣有部分不显著影响,口碑变量(X3)对购买兴趣有部分显著影响。同时,产品质量、价格、口碑等因素影响着人们对滨江传统产品槟榔的购买兴趣。从数据处理的结果来看,决定系数为69.2%,说明X1、X2、X3三者共同对Y的影响程度为69.2%,属于中等范畴,其余30.8%受其他因素影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Effect of Product Quality, Price, and Word of Mouth on Buying Interest : A case of Tretes Porridge in Binjai
Small and medium enterprises (SMEs) is one of the supporting economic growths of a region. Small and medium size business can be developed by increasing the buying interest of the people around.  Buying interest is the desire that arises from consumers to a product as a result of the consumer's observation of a product.   This research is quantitative research with a sample of 109 respondents. This study focuses on the effect of product quality, price, and word of mouth on interest buying : a case of Bubur Tretes Binjai. This research was conducted in Binjai . The population  of this study is the customer of Bubur Tretes that is located in Binjai. The researcher concluded that taking a sample of 109 respondents. Primary data were gathered by using questionnaires. The data were analyzed by using structural equation modeling-partial least squares (SEM-PLS) with SmartPLS software. The result of this study indicated  that the variable product quality (X1) partially had a  significant effect on buying interest, the price variable (X2) partially had not significant effect on buying interest, and word of mouth variable (X3) partially had a significant effect on buying interest. Simultaneously, product quality, price , and word of mouth influence buying interest on the traditional product of Bubur Tretes in Binjai. From the results of data processing, it was found that the coefficient of determination was 69.2% which indicates that X1, X2, and X3 together were able to influence Y by 69.2% with a moderate category, the remaining 30.8% was influenced by other factors.
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