MarkBot – A Language Model-Driven Chatbot for Interactive Marketing in Post-Modern World
Amit Kumar Kushwaha and
Arpan Kumar Kar ()
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Amit Kumar Kushwaha: Data Science and Analytics CoE, Slingmedia, Dish Network
Arpan Kumar Kar: Department of Management Studies, Indian Institute of Technology Delhi
Information Systems Frontiers, 2024, vol. 26, issue 3, No 2, 857-874
Abstract:
Abstract Hosting conversational responses on the official websites of products and services companies is an essential marketing aspect. With Artificial Intelligence’s help to make conversational interactivity more intuitive to existing and potential customers visiting the websites, managers can notch up the return on marketing investments. This motivated us to study empirically and develop the MarkBot framework, a chatter robot on the management design principles. The framework uses an Artificial Intelligence application to respond to a website visitor’s browse through the product catalog. Neural network (NN) architectures are known to achieve remarkable performances in synthetic text predictions. We use a long short-term memory recurrent neural network (LSTM) to predict the user’s responses through a chatbot in the current work. The proposed framework reduces the lead time for the firms to adopt MarkBot. We empirically prove using user-generated content on social media platforms like Twitter in responses and queries to digital campaigns on the same product. With new businesses failing to venture into the space of hosting a chatbot owing to no historical data or existing firms yet to host a chatbot, the proposed MarkBot fuelled by user-generated content can have a substantial managerial implication. The management frameworks used to theorize the MarkBot also make it a theoretical contribution for future Information Systems scholars to conceptualize in the marketing field.
Keywords: Artificial intelligence; Machine learning; Chatbots; Marketing; LSTM; Neural networks (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10796-021-10184-y
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