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PurposeExisting studies examine the effect of mobile service quality (M-S-QUAL) on shoppers' intent to continue mobile shopping using various theoretical lenses to understand its underlying factors. However, there is limited research focusing on combining theories to integrate the understanding of the factors that contribute to continuance intention of customers towards mobile shopping. This study integrated M-S-QUAL, the technology adoption model (TAM) and technology continuance theory (TCT) to test our proposed conceptual model of mobile shopping useDesign/methodology/approachEmpirical data from a survey of 193 respondents who frequently make purchases using mobile and its applications were analysed using partial least squares based on structural equation modelling (PLS-SEM).FindingsThis study found that M-S-QUAL and perceived usefulness (PU) positively influence shopping satisfaction and CI. PU and innovativeness, positively affect shopping satisfaction and CI. The study also found support for the mediating effect of satisfaction between M-S-QUAL and PU with CI.Research limitations/implicationsThis study contributes to TCT by incorporating pre-purchase and post-purchase dimensions for mobile shopping through applications. Pre-purchase variables include technology-related and innovativeness-related features. In contrast, post-purchase variables include the service quality of forward and reverse logistics.Practical implicationsThe service providers should focus on technology and innovativeness to increase the continuing intent of shoppers through mobile applications.Originality/valueThis study validates fulfilment, responsiveness and contact as key determinants of service quality in mobile shopping. It also identifies the practical implications to the managers for improving service quality, innovativeness and the PU of mobile shopping to retain customers.

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In the past few years, Internet of Things (IoT) has led to multiple devices interacting with humans as well as other devices, helping create a huge network of these entities that share data on a regular basis. The use cases of IoT technology have become synonymous with devices used to enable "Smart Home", wherein various applications inside the house are usually controlled using smartphones or smart speakers.These Smart Speakers and Smart Phones are enabled using Voice Assistants developed by various Tech Giants from all over the world. Various Tech Companies have developed their own Voice Assistants that are integrated in multiple devices, ranging from Smart phones, Smart Speakers to Smart TVs. Using their ability to connect to the Internet and the eco-system formed by the Tech Giants, Voice Assistants are helping to improve the quality of life.Despite the extensive coverage in media, review of Literature showed that no such research about adoption of Voice Assistants by Indian Consumers has been conducted. There hasn't been any study that evaluates factors that influence the adoption of Voice Assistants by Indian Consumers. That is the gap which this research addresses and tries to fill. Through this study, we aim to build a model which finds out Indian consumers' acceptance of Voice Assistants for this technology to reach commercialisation.The purpose of this study is to explore the user attitudes, satisfaction, and other factors governing and encouraging or discouraging the intention of Indian Consumers to adopt Voice Assistants. Through analysis, we can find out the inconveniences of adoption and usage process and propose the direction of product improvement.