The influence of demographic characteristics of consumers on decisions to purchase technical products

A. Puška, Ilija Stojanović, Sead Šadić, Haris Bečić
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引用次数: 11

Abstract

The term consumer behavior has become very popular in recent studies. It is characterized by various processes, with consumers purchasing decisions being one of them. This paper explores the way in which demographic characteristics influence purchasing decisions with focus on technical products including household appliances, computers, TV sets and similar technical products that cost more than 400 BAM. The empirical study was conducted in the region of northeast of Bosnia Herzegovina and 192 respondents were included in the study to express their allegations of purchasing decisions. Factor analysis was used to identify broader constructors as a basis for observation of the variables. In total, six variables were identified. Based on the calculation of Cronbach's Alpha indicators, it has been established that there was a low internal affiliation of claims in two variables, upon what they were discarded. Thus, four variables were used to study purchasing decision-making. The results of multivariate analysis of variance (MANOVA) showed that gender, income level and employment status of the respondents significantly influence purchasing decisions among consumers. The analysis of variance (ANOVA) has further shown that females Under the age of 25 and whose income is less than 400 BAM with less than 25 years are generally dedicating to purchasing decisions. The empirical findings showed that the most satisfied with their purchasing decisions are male respondents, whose income varies between 400 BAM and 800 BAM and who belong to the category of students under 25 years.
消费者人口统计特征对购买技术产品决策的影响
消费者行为这个术语在最近的研究中变得非常流行。它的特点是不同的过程,消费者的购买决策是其中之一。本文探讨了人口特征影响购买决策的方式,重点是技术产品,包括家用电器,电脑,电视机和类似的技术产品,成本超过400 BAM。实证研究在波黑东北部地区进行,192名受访者被纳入研究,以表达他们对购买决策的指控。因子分析用于确定更广泛的构造函数,作为观察变量的基础。总共确定了六个变量。基于Cronbach's Alpha指标的计算,已经确定在两个变量中存在较低的内部关联,基于它们被丢弃。因此,我们使用四个变量来研究采购决策。多元方差分析(MANOVA)结果显示,受访者的性别、收入水平和就业状况显著影响消费者的购买决策。方差分析(ANOVA)进一步表明,年龄在25岁以下,收入低于400 BAM且少于25年的女性普遍致力于购买决策。实证结果显示,对其购买决策最满意的是男性受访者,他们的收入在400 BAM到800 BAM之间,属于25岁以下的学生类别。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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