Prospects of business process management based on chatbots
-
DOIhttp://dx.doi.org/10.21511/ppm.22(2).2024.16
-
Article InfoVolume 22 2024, Issue #2, pp. 197-212
- Cited by
- 382 Views
-
158 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The relevance of the study is due to the growing need to use chatbots to optimize business processes. The purpose is to form a theoretical basis and practical tools for increasing the efficiency of using chatbots in business processes. The theoretical basis involves substantiating the theoretical foundations of forming a conditional chatbot profile for an optimization system. The practical toolkit includes chatbot components that depend on the complexity of tasks, the type of services, the specifics of customers, financial conditions, and other features of business processes. The result is the formation of a system profile of the chatbot, which would allow increasing the efficiency of its use in business processes. The key system components of the chatbot are substantiated: the technologies used, types of users, optimal areas of application, application algorithms, basic tools, and limitations in application. By varying the parameters of system components, one can choose their optimal values to increase the efficiency of using chatbots in business processes. It is advisable to use the specified system in business processes when determining the demand for products and their sales. The use of chatbots allows to reduce the time to complete business processes, personnel costs, and resources related to their implementation.
Acknowledgment
The paper was prepared in the framework of the research projects “Fundamental grounds for Ukraine’s transition to a digital economy based on the implementation of Industries 3.0; 4.0; 5.0” (No. 0124U000576) and “Digital transformations to ensure civil protection and post-war economic recovery in the face of environmental and social challenges” (No. 0124U000549).
- Keywords
-
JEL Classification (Paper profile tab)D83, L63, M21
-
References53
-
Tables5
-
Figures7
-
- Figure 1. System of the variability of chatbot components
- Figure 2. Implementation of chatbot technology by companies depending on their size
- Figure 3. Integration of chatbot functions in business areas
- Figure 4. Evaluation of the characteristics of chatbots by the level of complexity and functionality
- Figure 5. Algorithm for implementing a chatbot in business
- Figure 6. Customer service issues
- Figure 7. Global chatbot market size forecast 2024–2032
-
- Table 1. Evolutionary milestones for the use of chatbots
- Table 2. Optimal areas of application of chatbots
- Table 3. Key characteristics of chatbots by level of complexity
- Table 4. Discussion issues of chatbot use in business processes.
- Table 5. Evolution of chatbots based on artificial intelligence for 2023
-
- Acuvate. (n.d.). Unilever’s Baby Dove Brand Offers Filipino Moms A Community They Can Trust While Reducing Customer Acquisition Cost by 85% With Chatbot Built by Acuvate.
- Aivo. (n.d.). Best Enterprise Grade AI Conversational Stack.
- Amaresan, S. (2023, October 18). Customer service automation: how to save time and delight customers. HubSpot Blog.
- Anthropic. (2023, November 21). Introducing Claude 2.1.
- AWS. (n.d.). What is Amazon cloudwatch application insights?
- Belda-Medina, J., & Kokošková, V. (2023). Integrating chatbots in education: Insights from the Chatbot-Human Interaction Satisfaction Model (CHISM). International Journal of Educational Technology in Higher Education, 20(1), 1-20.
- Bengio, Y., Hinton, G., Yao, A., Song, D., Abbeel, P., Harari, Y. N., Zhang, Y-Q., Xue, L., Shalev-Schwarz, Sh., Hadfield, G., Clune, J., Maharaj, T., Hutter, F., Baydin, A. G., McIlraith, Sh., Gao, Q., Acharya, A., Krueger, D., Dragan, A., … Mindermann, S. (2023). Managing AI risks in an era of rapid progress. ArXiv.
- Bocian, Z. (2024, January 11). Key chatbot statistics you should follow in 2024. ChatBot Blog.
- Brown, I. (2020, December 14). Driving 337% ROI with Watson Assistant. IBM Business Analytics.
- Bump, P. (2022, March 15). The state of customer service [data]. HubSpot Blog.
- ChatGPT Online. (2023, August 19). Microsoft elevates Bing chat experience with GPT-4 integration.
- Christison, C. (2022, August 2). Everything you need to know about chatbots for business. Hootsuite.
- Connolly, B. (2023, December 3). Ecommerce chatbots: 8 ways they can benefit your business. Jungle Scout.
- Deci. (2024, March 27). Top large language models in opensource.
- Dick, J. (2021, January 19). Live chat exposes a fatal flaw in your go-to-market. HubSpot Blog.
- Dilmegani, C. (2024, January 12). Banking chatbots in 2024: Benefits, use cases & best practices. AIMultiple.
- Dudziak, A. (2023). How to build your first AI chatbot. ChatBot Blog.
- Fink, K. (2021, December 16). ECHO enables customer self-service with Oracle Digital Assistant. Oracle.
- Fokina, M. (2024, March 7). The future of chatbots: 80+ chatbot statistics for 2024. Tidio Blog.
- Fontanella, C. (2022, September 13). 14 customer loyalty trends to follow in 2022. HubSpot Blog.
- Fuscaldo, D. (2023, October 23). How chatbots can help grow your small business. Business New Daily.
- Google Cloud. (n.d.). Dialogflow.
- Google Gemini. (n.d.). Google Gemini: A largest and most capable AI model.
- Grand View Research. (n.d.). Chatbot market size, share, trends & growth report, 2030.
- Grensing-Pophal, L. (2023, May 1). Using AI chatbots for employee training and development. HR Daily Advisor.
- Greyling, C. (2022). Gartner predicts in five years chatbots will be the primary customer service channel. Gartner.
- Hart, J. (2023, November 22). Bill Gates says a 3-day work week where ‘machines can make all the food and stuff’ isn’t a bad idea. Business Insider.
- Haughey, C. (2023, December 20). 12 incredible benefits of chatbots and how to get them all. EngageBay.
- Jeevanandam, N. (2022, November 7). AI insights – Exploring Jabberwacky – A chatbot emulating a human conversation. INDIAAI.
- Kostenko, A., Semenov, V., Osetrova, O., Kubatko, O., Nazarov, M., & Stepanov, V. (2024). Resilience and vulnerability of Ukrainians: The role of family during the war. Problems and Perspectives in Management, 22(1), 432-445.
- Lembicz, A. (2023). Maximizing Small Business Growth with Chatbots. ChatBot Blog.
- Olujimi, P. A., & Ade-Ibijola, A. (2023). NLP techniques for automating responses to customer queries: A systematic review. Discover Artificial Intelligence, 3, Article 20.
- OpenAI. (2018, June 25). OpenAI five.
- Oracle. (n.d.a). Digital assistant.
- Oracle. (n.d.b). Oracle digital assistant infographic. Conversational AI for your business.
- Patel, S. (2023, December 29). 10 awesome Chatbot benefits for your business. Reve Chat.
- Patrizio, A., & Bigelow, S. J. (2023, November). Definition: Microsoft. SearchWindowsServer.
- Precedence Research. (n.d.). Chatbot market report.
- Reynoso, R. (2023, June 16). A complete guide on how to build a chatbot (easy to hard). G2 Blog.
- SAS. (n.d.). What are chatbots? And how can you combine them with analytics?
- Sekhar, M. S. (n.d.). Google Bard AI masterclass: A complete Google Bard chatbot. Udemy.
- Shweta, & Main, K. (2022, August 21). What is a chatbot? Everything you need to know. Forbes Advisor.
- SlickText. (2023). 50+ Key chatbot statistics for businesses in 2023.
- Sundstrom, A. (2023, March 13). The global chatbot market size is projected to surpass around USD 42 billion by 2032. LinkedIn.
- Social. (n.d.). 29 AI in banking statistics to help you plan for 2024.
- TechSense. (n.d.). What is chatbot?
- Thrun, S., Burgard, W., & Fox, D. (2000). Probabilistic robotics (672 p.). MIT Press.
- Turing, A. M. (2009). Computing machinery and intelligence. In R. Epstein, G. Roberts, & G. Beber (Eds.), Parsing the Turing Test. Springer, Dordrecht.
- University of Central Arkansas. (n.d.). Chat GPT: What is it?
- Vaitiekuniene, R., Sutiene, K., Kovalov, B., & Krusinskas, R. (2024). Does the financial and innovation performance of European and Asian–Oceanian companies coincide with the targets of the green deal? Sustainability, 16(4), Article 1485.
- Wang, W., Melnyk, L., Kubatko, O., Kovalov, B., & Hens, L. (2023). Economic and technological efficiency of renewable energy technologies implementation. Sustainability, 15(11), Article 8802.
- Weizenbaum, J. (2021). ELIZA - A computer program for the study of natural language communication between man and machine (1966). In H. R. Lewis (Ed.), Ideas that Created the Future: Classic Papers of Computer Science. MIT Press.
- Zhou, M., Kartanaitė, I., Norvaišienė, R., Kovalov, B., & Krušinskas, R. (2023). Unicorns’ growth and financial flexibility before and after the IPO. Heliyon, 9(9), Article e20313.