• Asia Marketing Journal
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• 제26권3호
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• pp.186-200
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• 2024

Phygital is an approach that integrates digital technology into physical retail spaces to provide innovative and interactive customer experiences. As this approach becomes more widespread, understanding its effects on consumer behavior is crucial. This study aims to bridge this gap by investigating the factors that influence cognitive, emotional, technological, sensory, and social experiences in phygital retail. It also seeks to understand how these factors influence customer engagement, ultimately impacting customers' patronage intentions and recommendation intentions. The study surveyed 380 customers in China who had experienced phygital retail. The results show that various dimensions of customer experience influence customer engagement, with sensory and social encounters having the greatest impact. Customer engagement, in turn, affects customers' patronage intention and recommendation intentions. Importantly, this study examines how specific sub-dimensions of customer experience impact recommendation intentions in a phygital retail environment. These insights provide valuable strategic guidance for service-oriented retailers.

• Asia pacific journal of information systems
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• 제33권3호
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• pp.541-572
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• 2023

Amazon Go is a cashierless convenience store concept, which is seen as a disruption in the grocery retail segment. Although Amazon Go has the ability to disrupt the retail segment, there are speculations on how Amazon Go will be perceived by users. Existing studies have not utilized user-generated content to understand the factors that affect customer behaviour in case of Amazon Go. Additionally, in case of phygital retail, studies have not attempted at understanding the effect of emotions and gratifications on user behaviour. To address the gap of exploring user perspectives based on their experience, we have examined the impact of gratifications and emotions on the acceptance of phygital retail using user-generated-content. A mixed-method approach has been utilized using only user-generated content. Utilizing topic-modelling based content analysis and emotion analysis on 30 articles related to Amazon Go, we found themes like, convenience, technology, experience, personalization, enjoyment and emotions like, bad, good, annoyance, success. In the empirical analysis, we have utilized 522 reviews about Amazon Go from the cognition and emotion theory stance, and found that hedonic gratifications have a positive impact on challenge emotions. We also found a significant impact of emotions on customer's favourite behaviour.