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Providing positive and memorable shopping experiences has become essential for retailers. As the retail industry strives to create multisensory experiences for consumers, it is equally important to understand the emotions and pleasure such experiences evoke. The current study aims to investigate how multisensory experiences induce hedonic emotions in retail shoppers. It explores the mediating role of hedonic emotions in between multisensory experiences and shopping mall patronage intention.

The study is descriptive; the data was collected using the mall intercept survey method. A total of 380 shoppers participated in and responded to the survey administered at the mall. The collected responses are analyzed using partial least squares structural equation modeling.

Our findings support the idea that hedonic emotions play a significant role in the retail environment by influencing retail patronage intentions. Also, the multisensory experiences have a positive effect on patronage intention as well as the hedonic emotions of shoppers.

The present study provides theoretical and managerial implications for academicians and retail marketing.

The present research contributes to the existing literature by introducing the concept of multisensory experiences in the retail context and its impact on hedonic emotions and adding to the concept of inference theory.

This study aims to explore the concept of collaborative consumption (CC) by identifying factors that drive and deter individual participation in CC. The concept of CC encompasses practices such as sharing, giving, renting, donating, swapping and trading pre-owned goods with another individual, all of which reduce new purchases and promote the reuse of goods, thereby protecting resource depletion and waste.

Using a qualitative research approach, a total of 23 semi-structured, in-depth interviews were conducted with the participants involved in various shared consumption activities. The thematic analysis was done on interview data to explore the themes and subthemes of CC in the form of drivers and deterrents.

The findings reveal economic, social connection, sustainability, ease of use, utilization of goods and surroundings as driving factors of CC. Moreover, security concerns, lack of awareness and lack of accessibility were explored as deterring factors. Based on the findings, the present study proposes a conceptual framework for future studies.

The study adds value to the understanding of CC, which is in a nascent stage. The unique drivers and deterrents of CC, as explored in the present study, have significant implications for marketers, business developers, researchers and practitioners.

The study’s objective is to measure the importance consumers attach to AI-based attributes, namely, chatbots, face recognition, virtual fitting room, smart parking and cashier-free station in retail stores. The study also examines the specific purpose of using these attributes for shopping.

A conjoint experiment was conducted using fractional factorial design. Consumers were given 14 profiles (AI attributes and its levels) to rank according to their visiting preferences.

The results revealed that the retail chatbot was considered the most important attribute, followed by face recognition, virtual fitting room, smart parking system and cashier-free station. Moreover, consumers prefer to use chatbots for in-store shopping assistance over alerts and updates, customer support and feedback. Similarly, consumers wish a face recognition facility for greetings while entering the store over other services. In addition, cluster analyses revealed that customer groups significantly differ in their preferences for AI-based attributes.

The study guides retail managers to invest in AI technologies to provide consumers with a technology-oriented shopping experience.

Our results provide an insight into the receptivity of AI technologies that consumers would like to experience in their favorite retail stores. The present study contributes to the literature by investigating consumer preferences for various AI technologies and their specific uses for shopping.

In a consumer-driven world, captivating experiences are increasingly vital and retailers prioritise them for consumers. This study aims to develop a comprehensive theoretical framework that explores the impact of a consumer's multi-sensory and atmospheric experiences on their intention and commitment to a mall, with perceived value acting as a mediating factor.

The study employed a descriptive quantitative research approach and utilised a self-administered mall-intercept survey. A total of 380 shoppers participated in and responded to the survey administered at the mall. The collected responses are analysed using partial least squares structural equation modelling (PLS-SEM).

Study findings show that experiences significantly influence consumers' intentions to patronise shopping malls, leading to their commitment. The study reveals a strong impact of atmospheric experience on multi-sensory experiences. Furthermore, perceived value mediates the relationship between consumers' experiences and their mall patronage intention.

The research sheds light on the significance of atmospheric elements in creating sensory experiences for consumers. Additionally, the study introduces the concept of “props” as essential components of the atmospheric experiences in retail stores and malls. Furthermore, the study advances inference theory by exploring the effects of these sensory and atmospheric experiences within the shopping mall environment.