Shopping value and mall attributes: Generational and gender differences among Russian customers

O. Yuldasheva, Irina O. Trushnikova, Veronika G. Shubaeva
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Abstract

The transition of the malls market to the maturity stage transforms consumer behaviour and requires a revision of traditional approaches to customer segmentation. The study aims to examine the purchasing behaviour of Russian consumers when doing mall shopping, their attitudes to the shopping value and the mall attributes based on generational and gender differences in order to justify the approach to customer segmentation at the market maturity stage. The research methodology is based on the theory of generations and customer value theory. Frequency, factor, regression, variance and cluster analyses were used as data processing methods. The evidence base includes the online survey data of 531 customers held in December 2023 – January 2024. The findings show that the fact of customers belonging to the generational cohort has a statistically significant impact on their behaviour and attitude to the mall attributes. The gender difference only partially explains consumer shopping behaviour. Generational cohorts and gender are important in relation to the hedonistic shopping value: the reaction of young and female shoppers was found to be statistically significant. The study reveals no correlation between consumer behaviour and the income level. Cluster analysis proves that psychographic variables, namely the attitude to the shopping value and the importance of mall attributes, are the basis for customer segmentation. Demographic segmentation factors are of a secondary nature in the context of the malls market transitioning to the maturity stage. It is the psychographic factors that come to the fore, i.e., the utilitarian and hedonistic shopping values, as well as the importance of hygienic and experienced attributes of shopping malls.
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购物价值与商场属性:俄罗斯顾客的代际和性别差异
商场市场向成熟阶段的过渡改变了消费者的行为,需要对传统的客户细分方法进行修正。本研究旨在研究俄罗斯消费者在商场购物时的购买行为、他们对购物价值的态度以及基于代际和性别差异的商场属性,从而为市场成熟阶段的客户细分方法提供依据。研究方法以代际理论和顾客价值理论为基础。数据处理方法包括频率分析、因子分析、回归分析、方差分析和聚类分析。证据基础包括 2023 年 12 月至 2024 年 1 月对 531 名客户进行的在线调查数据。研究结果表明,顾客所属代群对其购物行为和对商场属性的态度有显著影响。性别差异只能部分解释消费者的购物行为。代际群体和性别对享乐主义购物价值观有重要影响:年轻和女性购物者的反应在统计学上有显著影响。研究表明,消费者行为与收入水平之间没有关联。聚类分析证明,心理变量,即对购物价值的态度和商场属性的重要性,是客户细分的基础。在商场市场向成熟阶段过渡的背景下,人口统计细分因素是次要的。心理因素,即功利主义和享乐主义购物价值观,以及商场卫生和体验属性的重要性,才是最重要的。
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