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Understanding the intention to use mobile shopping applications and its influence on price sensitivity
This study employs an extended technology acceptance model (TAM) and the theory of diffusion of innovations (DOI) to understand the intention to use mobile commerce applications for shoppingExpand
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The moderating role of device type and age of users on the intention to use mobile shopping applications
Abstract This work was performed to understand the characteristics of the antecedents of m-shopping adoption using mobile applications, with respect to the age of the consumer and the type of deviceExpand
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Exploring the Growth of COVID‐19 Cases using Exponential Modelling Across 42 Countries and Predicting Signs of Early Containment using Machine Learning
TLDR
This research uses exponential growth modelling studies to understand the spreading patterns of the COVID‐19 virus and identifies countries that have shown early signs of containment until 26th March 2020. Expand
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Systematic literature review on novel corona virus SARS-CoV-2: a threat to human era
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the seventh-generation coronavirus family causing viral pandemic coronavirus disease (COVID-19) across globe affecting millions ofExpand
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Understanding the attitude and intention to use smartphone chatbots for shopping
Abstract Using the technology acceptance model and diffusion of innovations theory, this study evaluated the intention of consumers to use chatbots on smartphones for shopping. Chatbot is aExpand
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The moderating role of social themes in cause-related marketing advertisements
Cause-related Marketing (CrM) has become a necessity for organizations as a strategy not only to improve sales but also to give back to the society. Past studies have proven that CrM advertisementsExpand
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The influence of audience characteristics on the effectiveness of brand placement memory
Abstract The purpose of this paper is to explore the influence of audience characteristics (who engage with the media content and characters) on brand placement memory. A theoretical framework wasExpand
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Understanding the intention to use self service technologies in the airline industry
Self service technologies (SST) in the airline industry are becoming more common nowadays in the developing countries. This research seeks to understand the factors that affect the travellers'Expand
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Exploring the Growth of COVID-19 Cases using Exponential Modelling Across 42 Countries and Predicting Signs of Initial Containment using Machine learning
TLDR
This research seeks to understand the spreading patterns of the COVID-19 virus through exponential growth modelling and identifies countries that have showed an initial sign of containment until 26th March 2020. Expand