![]() Global Journal of Flexible Systems Management, 19(1), 95–107.Ĭhatterjee, S., Rana, N. Alignment of IT authority and citizens of proposed smart cities in India: System security and privacy perspective. Commentary: Mind your text in marketing practice. 2016 IEEE international conference on acoustics, speech and signal processing (ICASSP), 4960–4964.Ĭhapman, C. Listen, attend and spell: A neural network for large vocabulary conversational speech recognition. Journal of the Academy of Marketing Science, 39(4), 609–628.Ĭhan, W., Jaitly, N., Le, Q., & Vinyals, O. The trade-off of servicing empowerment on employees’ service performance: Examining the underlying motivation and workload mechanisms. Me, my self, and I(T): Conceptualizing information technology identity and its implications. Springer International Publishing.Ĭarter, M., & Grover, V. Online behavioral advertising: A literature review and research agenda. Beam-ACO-hybridizing ant colony optimization with beam search: An application to open shop scheduling. Journal of the Academy of Marketing Science, 23(4), 236–245.īlum, C. Relationship marketing of services-growing interest, emerging perspectives. Journal of Machine Learning Research, 3, 1137–1155.īerry, L. The resource-based view of the firm: Ten years after 1991. Service with a smile and encounter satisfaction: Emotional contagion and appraisal mechanisms. Journal of the Academy of Marketing Science, 30(4), 348–361.īarger, P. Exploring the implications of M-commerce for markets and marketing. International Conference on Machine Learning, ICML.īalasubraman, S., Peterson, R. Neural machine translation by jointly learning to align and translate. ![]() Journal of Marketing Research, 57(1), 20–34.īahdanau, D., Cho, K. Native advertising in online news: Trade-offs among clicks, brand recognition, and website trustworthiness. Information Systems Frontiers.Īribarg, A., & Schwartz, E. Self-building artificial intelligence and machine learning to empower big data analytics in smart cities. Springer International Publishing.Īlahakoon, D., Nawaratne, R., Xu, Y., De Silva, D., Sivarajah, U., & Gupta, B. Pimenidis (Eds.), Artificial intelligence applications and innovations (pp. 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.Īdamopoulou, E., & Moussiades, L. 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. We empirically prove using user-generated content on social media platforms like Twitter in responses and queries to digital campaigns on the same product. The proposed framework reduces the lead time for the firms to adopt MarkBot. We use a long short-term memory recurrent neural network (LSTM) to predict the user’s responses through a chatbot in the current work. Neural network (NN) architectures are known to achieve remarkable performances in synthetic text predictions. The framework uses an Artificial Intelligence application to respond to a website visitor’s browse through the product catalog. This motivated us to study empirically and develop the MarkBot framework, a chatter robot on the management design principles. 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. Hosting conversational responses on the official websites of products and services companies is an essential marketing aspect.
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