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Few studies have examined technology-enhanced atmospheres for strengthening customer experience and brand engagement in physical store settings. This study builds on the social presence theory to test for the first time the moderating effects of virtual social presence on customer responses, through AR adoption in-store. Our study aims to understand the impact of technology-enhanced in-store atmospherics (TEISAs) with emphasis on AR elements and virtual social presence on customer experience and engagement behaviours (CEBs) in luxury settings.

Hypotheses are developed and a survey using 566 responses were collected using Qualtrics. T-tests, two-way ANOVA and structural equation modelling were used for analysis of CEBs. Moreover, using PLS-SEM, we test whether virtual social presence moderates this relationship in a cross-country context; Britain and China, two of the largest economies for luxury growth.

The findings demonstrate that TEISAs have a positive impact on emotion and perceived value, with virtual social presence moderating this relationship. The cross-cultural comparison results show that the impact of TEISAs on emotion and perceived value is stronger for British than for Chinese millennials.

Our model is the first to incorporate technology into various store atmospherics, to employ virtual social presence as a new moderator, and to provide empirical evidence on the effects of AR on customer experience and CEBs in the real-time luxury retail environment. This study is also the first to consider virtual social presence on social media as a moderating variable.

The purpose of this study is to draw from sustainable social innovation theory and the Consumer styles inventory (CSI) instrument to examine secondhand clothing consumption habits for Russia. The secondhand market is the logical outcome of efforts to adopt resale as a facet of sustainable social innovation, with which to drive sustainable decision-making and socially responsible marketing in the secondhand high-end clothing market. Resale represents the cornerstone of business model innovation (BMi) for the retail sector, offering substantial opportunities for retailers who understand changes in consumption behaviour. More cost-effective and arguably greener, the sale of secondhand clothing is expected to be double the volume of fast fashion by 2030 but it remains an understudied field of research in the literature relating to the fashion industry.

Hypotheses are developed from the existing literature. Survey methodology is used to collect data from 250 Russian consumers in the city of Petersburg. The objective is to test the veracity of CSI shopper orientations, focusing on nascent motivations for high-end branded secondhand clothing, to examine sustainable social innovation and resale in an emerging market.

Four new shopping orientations are identified. Based on the empirical data, the authors suggest that five (out of the original eight CSI shopping orientations) are of internal statistical relevance, and that our new orientations are relevant for not only this market, but for neighbouring Eastern European countries too. The findings reflect postmodern evolution in behavioural motivations for Russian consumers, that can inform retail strategy in terms of BMi consumer for harnessing opportunities offered by sustainable social innovation and resale.

Whilst the CSI has been widely used, research for Eastern Europe is limited. Understanding the shopping orientations for sustainable alternatives to newly produced clothing has theoretical and practical implications for improving circularity, post-war entry strategies and countries facing economic downturn. This study contributes novel insights by examining consumer decision-making and shopping orientations in an emerging market.

Body shape is a critical variable influencing consumers' garment choices (Zakaria, 2017), yet research investigating how UK females with varying body shapes evaluate and experience fit is limited. Moreover, while digital methods exist to classify female body shapes, application in a commercial setting is limited. To fill this gap within the literature, this study aims to understand the influence of body shape variation on garment fit evaluations of 30 UK females aged 18–34 years.

This study conducts a physical garment try-on session whereby 30 UK females aged 18–34 years were body-scanned and categorised into a body shape, using the Female Figure Identification Technique method. Participants verbalised their fit experiences during a physical try-on session through semi-structured interviews to gain a deeper understanding of individuals' fit appraisals.

The findings demonstrate that UK females who share the same body shape classification experience the same issues when appraising dress fit, challenging Makhanya and Mabuza (2020) who found that body shape does not influence apparel fit satisfaction. The results shed light on the importance of body shape during the fit appraisal process.

Despite the contribution, future research to improve the limitations should be addressed. First, although it was necessary to investigate a UK demographic to address research gaps, the finding of this study cannot be generalised to the entire UK female population nor to other areas of the world. Hence, future research should overcome this limitation by extending this study further to other countries, cultures and ethnicities.

The findings of the present study shed light on the role of body shape in determining satisfactory clothing fit and how females' fit experiences will differ depending on their body shape classification. Thus, fashion retailers should use this insight to better inform their promotional strategies, not only making them more inclusive but also to help assist this particular consumer segment with their clothing decisions based on their body shape.

The present study provides an in-depth understanding of how females with the same body shape experience garment fit, contributing novel findings to the literature through a mixed-method inquiry previously lacking in this area, with a UK demographic which has not previously been explored.

This case study investigates attitudes towards delicatessen and speciality food for consumers in the North West region. The speciality food sector has experienced above average industry growth over recent years. The UK market for speciality food and drink was £3.3 billion in 2001, according to market analyst Datamonitor, which predicts sales will grow by 5.5 per cent over the next five years. The heart of the category, the traditional speciality counter, shows clear signs of being seriously under threat. Market forces have put speciality food into a paradoxical situation – growing in response to demand while simultaneously losing traditional small outlets. The traditional speciality counter needs to adapt in order to survive

The purpose of the research was to extend on previous research by studying latent consumers’ attitude to farmers’ markets. Findings will be used to improve the marketing and publicity of farmers’ markets in order to attract other consumers groups. The people surveyed were not always aware of the term farmers’ market. Some think it is a place where farmers go to buy what they need. Around 94 per cent of people who have already been to a farmers’ market will return because they enjoy the food which is fresh, different, local, etc. and to support farmers. Latent consumers think that farmers’ markets sell fresh, quality, locally produced, tastier, healthier and seasonal food. However they do not expect the food to be cheaper. The most important criteria are quality, freshness and the fact that food is produced locally. Latent consumers would enjoy supporting local producers, information about the products and how to prepare them.

The purpose of this paper is threefold: first, to identify a list of fashion attributes preferred by young Bangladeshi consumers while buying casual clothes; second, to test the applicability of Kano’s quality theory in the apparel industry; and, finally, to explore the differences in fashion priorities between male and female consumers.

This study is based on primary data collected through a survey from 1,177 young consumers of urban Bangladesh. Structural equation modeling was used to develop the attribute index. Also, convergent and discriminant validity and construct reliability of the index were tested.

The study offers a four-dimensional 19-item index representing the desirable fashion attributes. This paper also confirms the applicability of Kano’s theory in the apparel industry. Results revealed that “well-designed casual attires” and “discount offers” are top-ranking attributes as perceived by both male and female consumers. However, there are differences in the preferences. Women prioritized irritation-free, durable and soft fabric, whereas men preferred attributes such as suitability of color and functionality in the workplace.

The findings of the study provide clothing suppliers of Bangladesh with information that may be utilized while preparing their options. For instance, as casual clothes are frequently worn and washed, a quality fabric that looks good even after several washes is highly recommended. Dress manufacturers need to offer colorful attires to women, whereas for men, more color options should be available. Casual clothes should be made in a way that they are acceptable in the community and workplace.

As research on exploring desirable fashion qualities in developing markets (especially in South Asian region) is rare, this study is contributing to the literature by offering validated apparel attribute index.