智能手机购买意愿的人口统计学特征研究

Bharat Rai, R. K. Dahal, B. Ghimire
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引用次数: 0

摘要

目的:本研究的主要目的是找出智能手机购买在性别、年龄组、收入和教育水平之间的显著差异。本研究还考察了人口统计数据如何影响尼泊尔用户购买智能手机的意愿,包括性别、年龄组、教育程度和收入水平。设计/方法论/方法:本研究采用演绎研究方法。本研究采用描述性研究设计。这项研究利用了原始数据。396名加德满都的智能手机用户使用方便的抽样技术,通过五点李克特量表进行问卷调查。为了做出诊断并得出可靠的结果,使用了描述性统计分析、独立样本t检验和单因素方差分析。为了检验这些特征与购买意愿之间的关系,性别、年龄组、受教育程度和收入水平被认为是独立变量。因此,可以说人口统计参数影响了消费者对智能手机的购买意愿。独立样本t检验和单因素方差分析结果显示,智能手机的购买意愿在性别、年龄、受教育程度和收入水平之间没有显著差异。原创性/价值:先前的研究研究了影响购买意愿的各种因素,如广告、原产国、品牌形象、价格、质量、参考群体、价格、收入、个人特征等。据作者所知,他们的研究首次研究了年龄、性别、教育水平和收入对智能手机购买意愿的影响。限制/启示:影响购买意愿的因素多种多样;其中,仅采用年龄、性别、教育程度、收入水平等人口因素进行研究。只有智能手机产品被纳入研究,其他产品被排除在研究之外。研究结果将有助于智能手机企业制定营销策略和计划,以提高消费者的购买意愿和产品的销售。
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A Study on Demographics Characteristics on Purchase Intention of Smartphone
Purpose: The primary goal of the study is to find out significant differences in the purchase of smartphones by gender, between age groups, and between income and education levels. This study also examines how demographics affect Nepalese users’ intentions to purchase smartphones, including gender, age groups, educational attainment, and income levels. Design/Methodology/Approach: Deductive research approach has been used in the study. The study used a descriptive research design. This study made use of primary data. 396 Smartphone users in Kathmandu were polled using a convenient sample technique through a Five-point Likert scale questionnaire. To make a diagnosis and come to reliable results, descriptive statistical analysis, independent sample t-tests, and one-way ANOVA have been used. To examine the association between these characteristics and purchase intention, gender, age groups, educational attainment, and income levels are considered independent variables. Findings: Therefore, it can be said that demographic parameters influence consumers’ purchase intention for Smartphones. Independent sample t-test and one-way ANOVA test results reveal that there is no significant difference in purchase intention for Smartphone buying between gender, age groups, levels of education, and levels of income. Originality/Value: Prior research studied the various factors influencing purchase intention, such as advertisement, country of origin, brand image, price, quality, reference groups, price, income, and personal characteristics. To the best of the authors’ knowledge, their research is the first to study the impact of age, gender, level of education, and income on the purchase intention of smartphones buying. Limitations/Implications: There are various factors influencing the purchase intention; among them, only demographic factors such as age, gender, level of education, and level of income are undertaken for the study. Only Smartphone products are taken in the study, and other products are excluded from the study. The study findings will be useful to Smartphone businesses to formulate marketing strategies and plans to increase consumers’ purchase intention and sales of the products.
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