Chatbot in business
DOI:
https://doi.org/10.46793/ICEMIT23.219PKeywords:
modern business, chatbot, information and communication technology, digitizationAbstract
The cost of today's employee education is extensive, but also dynamic due to the global challenges of business that encompasses each activity. The special expression of the aforementioned is outlined in the elements of customer support provided to visitors or potential clients through the websites of companies or other institutions. In order to somewhat bridge the gap of new training and training of customer support, companies are forced to seek new models of communication with users and resolve their inquiries as soon as possible. As a solution, the implementation of chatbots in websites is imposed as the first phase of communication with users and the resolution of simple queries by users. Full business automation is a constant focus of corporations precisely because of the global market and increasingly demanding clients. The last year has been marked by the increasing availability of artificial intelligence, advanced computing, or big data processing. The orientation of this technology towards customer satisfaction, and through the use of advantages of chatbot as a "first line" of conversation with visitors enables unprecedented functionality. Through research of available literature and publicly available examples of good practice, the advantages, and disadvantages of implementing chatbots as a substitute for customer support will be observed.
References
Adamopoulou, E. M. & Moussiades, L. (2020). An Overview of Chatbot Technology. In I. Maglogiannis, L. Iliadis, & E. Pimenidis (Eds.), IFIP Advances in Information and Communication Technology IFIPAICT: vol. 584 (pp. 373-383). Springer. https://doi.org/10.1007/978-3-030-49186-4_31
Adams, F. (2023, July 15). Unleashing the Power of Large Language Models: Building an AI Chatbot for Private Knowledge Base Queries. Medium. https://medium.com/@FrankAdams7/unleashing-the-power-of-large-language-models-building-an-ai-chatbot-for-private-knowledge-base-eb8cf31c7fcc
Capacity. (2023, June 15). Evolution of Chatbots. Capacity. https://capacity.com/chatbots/evolution-of-chatbots/
Croatian Chamber of Commerce. (2023, August 5). Home. Croatian Chamber of Commerce. https://digitalnakomora.hr/home
Dashly Ltd. (2023, June 15). Dashly blog. Chatbot statistics crucial to know in 2023. Dashly Ltd. https://www.dashly.io/blog/chatbot-statistics/
FlowiseAI, Inc. (2023, July 28). Build LLMs Apps Easily. FlowiseAI. https://flowiseai.com/
Github (2023, June 23). GitHub - deep-diver/LLM-As-Chatbot: LLM as a Chatbot Service. Github. https://github.com/deep-diver/LLM-As-Chatbot
Google Inc. (2023, July 17). Google trends. Google Inc. https://trends.google.com/trends/
Heo Miri, L. K. (2018). Chatbot as a New Business Communication Tool: The Case of Naver TalkTalk. Business Communication Research and Practice. 1(1), 41-45. https://doi.org/10.22682/bcrp.2018.1.1.41
Io, H.N., & Lee, C.B. (2019). Understanding the Adoption of Chatbot. In K. Arai, S. Kapoor, & R. Bhatia (Eds.), Advances in Information and Communication Networks Proceedings of the 2018 Future of Information and Communication Conference (FICC), Vol. 1 (pp 632–643). Springer. https://doi.org/10.1007/978-3-030-03402-3_44
Lee, M. (2023, July 25). Considerations for your chatbot design. UX Magazine. https://uxmag.com/articles/considerations-for-your-chatbot-design-banner
Li, J. e. (2023, June 22). ChatGPT: Large-Scale Language Models for Conversational Agents. CDN Openai. https://cdn.openai.com/better-language-models/chatgpt.pdf
Nguyen, T. (2019). Potential effects of chatbot technology on customer support: A case study [Master´s Thesis]. Aalto University School of Science.
OpenAI, L.L.C. (2023, July 22). ChatGPT. ChatGPT. https://chat.openai.com/
Ornes, S. (2023, May 20). Quanta Magazine. The Unpredictable Abilities Emerging from Large AI Models. Quantamagazine. https://www.quantamagazine.org/the-unpredictable-abilities-emerging-from-large-ai-models-20230316/#
Park, S.H., Choi, J., Lee, S., Oh, C., Kim, C., La, S., Lee, J., Bongwon Suh, B. (2019). Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study. Journal of Medical Internet Research, 21(4), 1-19. doi:10.2196/12231
Ricciardelli, E., & Biswas, D. (2019). Self-improving chatbots based on reinforcement learning. In S. Singh (Ed.), 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (pp. 1-4). McGill University.
Sudan, P.U., & Jeong, S.R. (2022). The Impact of Semi-Supervised Learning on the Performance of Intelligent Chatbot System. Computers, Materials & Continua, 71(2), 3937–3952.
Thorat, S. A. (2020). A Review on Implementation Issues of Rule-based Chatbot Systems. In Proceedings of the International Conference on Innovative Computing & Communications (ICICC) 2020. SSRN. https://dx.doi.org/10.2139/ssrn.3567047
Wang, X., Lin, X., & Shao, B. (2023). Artificial intelligence changes the way we work: A close look at innovating with chatbots. Journal of the Association for Information Science and Technology, 74(3), 339–353.
Zumstein, D., & Hundertmark, S. (2018.). Chatbots: an interactive technology for personalized communication and transaction. IADIS International Journal on WWW/Internet, 15(1), 96–109.
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