Purpose

The purpose of this paper is to investigate the experience of visitors to UK markets by analysing their Tripadvisor reviews to identify perceived experiential dimensions with a view to informing actions by those responsible for market management to provide a better consumer experience.

Design/methodology/approach

This research analysed 41,071 Tripadvisor reviews of 61 UK markets. A latent Dirichlet allocation machine learning algorithm was conducted to identify the experience dimensions of visitors. A text analysis was performed to indicate salience and valence of commonly used words.

Findings

Five dimensions of experience are identified: atmosphere, merchandise, local variety, food and disappointment, together with the underlying factors that drive positive experience.

Practical implications

Place and market managers should assess and position their market informed by diverse experiential dimensions. They should also improve and enhance the experience of visitors according to the underlying factors of each dimension.

Originality/value

Retail markets have historically played an important role in the development of urban places. However, the ability to continue performing this role requires a greater understanding of how markets are perceived by those who use them. One way to achieve this is to use emergent technologies to inform decision-making by those responsible for their management. It demonstrates the potential of a new analytical technique using digital technologies to improve one of the oldest forms of retailing.

中文翻译：

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回应市场声音：Tripadvisor对英国零售市场的评论分析

目的

本文的目的是通过分析Tripadvisor的评论来调查访问英国市场的游客的经验，以识别感知的体验维度，以告知负责市场管理的人员采取的行动，以提供更好的消费者体验。

设计/方法/方法

这项研究分析了英国61个市场的41,071条Tripadvisor评论。进行了潜在的狄利克雷分配机器学习算法，以识别访问者的体验维度。进行文本分析以表明常用词的显着性和效价。

发现

确定了五个方面的经验：气氛，商品，当地品种，食物和失望以及推动积极经验的潜在因素。

实际影响

场所和市场经理应根据不同的体验维度来评估和定位其市场。他们还应根据各个维度的潜在因素来改善和增强访客的体验。

创意/价值

历史上，零售市场在城市发展中起着重要作用。但是，要继续发挥这种作用的能力，就需要对使用市场的人如何看待市场有更深入的了解。实现此目标的一种方法是使用新兴技术为负责其管理的人员提供决策依据。它展示了使用数字技术的新分析技术改善最古老的零售形式之一的潜力。