Skip to main content
SpringerLink
Log in

Business and Optimization Applications Using AI Chatbots

  • Conference paper
  • First Online:
Technology and Business Model Innovation: Challenges and Opportunities (ICBT 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 923))

Included in the following conference series:

  • 117 Accesses

Abstract

These systems, sometimes known as smart robots, are intended to accomplish jobs with a high level of intelligence. Applying this intelligence can proficiently gather, analyze and, assess complex business data that comes from multiple sources, including financial reports, sales data, and consumer feedback. The utilization of natural language processing capabilities in AI systems, such as, ChatGPT, enables the rapid acquisition of critical information. The usage areas of AI-based Chat bots have started to increase also in business. The aim of this study is to examine three different business application in AI-based chatbots. First case study shows how can we utilized the feature of text summarization, and the second and third are dependent on mathematical techniques which are optimization and project management.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bansal, H., Khan, R.: A review paper on human computer interaction. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 8(4), 53–56 (2018)

    Article  Google Scholar 

  2. Shawar, B.A., Atwell, E.: Chatbots: are they really useful? J. Lang. Technol. Comput. Linguist. 22(1), 29–49 (2007)

    Article  Google Scholar 

  3. Adamopoulou, E., Moussiades, L.: An overview of chatbot technology. In: IFIP International Conference on Artificial Intelligence Applications and Innovations, pp. 373–383. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-49186-4_31

  4. Siswanto, J., Suakanto, S., Andriani, M., Hardiyanti, M., Kusumasari, T.F.: Interview bot development with natural language processing and machine learning. Int. J. Technol. 13(2), 274–285 (2022)

    Article  Google Scholar 

  5. Berawi, M.A.: Managing artificial intelligence technology for added value. Int. J. Technol. 11(1), 1–4 (2020)

    Article  Google Scholar 

  6. Brandtzaeg, P.B., Følstad, A.: Why people use chatbots. In: The 4th International Conference on Internet Science. LNCS, vol. 10673, pp. 377–392. Springer, Thessaloniki (2017)

    Chapter  Google Scholar 

  7. Hamet, P., Tremblay, J.: Artificial intelligence in medicine. Metabolism 69(3), 36–40 (2017)

    Article  Google Scholar 

  8. Zemčík, M.T.: A brief history of chatbots. DEStech Trans. Comput. Sci. Eng. 10, 14–18 (2019)

    Google Scholar 

  9. Shum, H.Y., He, X.D., Li, D.: From Eliza to XiaoIce: challenges and opportunities with social chatbots. Front. Inf. Technol. Electron. Eng. 19, 10–26 (2018)

    Article  Google Scholar 

  10. Haenlein, M., Kaplan, A.: A brief history of artificial intelligence: on the past, present, and future of artificial intelligence. Calif. Manage. Rev. 61(4), 5–14 (2019)

    Article  Google Scholar 

  11. Rajaraman, V.: From ELIZA to ChatGPT: history of human-computer conversation. Resonance 28(6), 889–905 (2023)

    Article  Google Scholar 

  12. AbuShawar, B., Atwell, E.: ALICE chatbot: trials and outputs. Comput. Sistem. 19(4), 625–632 (2015)

    Google Scholar 

  13. Marietto, M.D.G.B., et al.: Artificial intelligence markup language: a brief tutorial. Int. J. Comput. Sci. Eng. Surv. 04(03) (2013)

    Google Scholar 

  14. Shawar, B.A., Atwell, E.: A Comparison Between Alice and Elizabeth Chatbot Systems. University of Leeds, School of Computing research report 2002. University of Leeds, United Kingdom (2002)

    Google Scholar 

  15. Molnár, G., Szüts, Z.: The role of chatbots in formal education. In: IEEE 16th International Symposium on Intelligent Systems and Informatics, pp. 000197–00020. IEEE, Subotica (2018)

    Google Scholar 

  16. Adamopoulou, E., Moussiades, L.: Chatbots: history, technology, and applications. Mach. Learn. Appl. 2, 1–18 (2020)

    Google Scholar 

  17. Dale, R.: The return of the chatbots. Nat. Lang. Eng. 22(5), 811–817 (2016)

    Article  Google Scholar 

  18. Rapp, A., Curti, L., Boldi, A.: The human side of human-chatbot interaction: a systematic literature review of ten years of research on text-based chatbots. Int. J. Hum Comput Stud. 151, 1–24 (2021)

    Article  Google Scholar 

  19. Fostikov, A.: First impressions on using AI powered chatbots, tools and search engines: ChatGPT, Perplexity and other–possibilities and usage problems. In: Humanities Commons, pp. 1–11 (2023)

    Google Scholar 

  20. Zhang, D.: Should ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI Era. arXiv preprint arXiv:2305.02555. 1–22 (2023)

  21. Zhu, J.J., Jiang, J., Yang, M., Ren, Z.J.: ChatGPT and environmental research. Environ. Sci. Technol. 57(46), 17667–17670 (2023)

    Google Scholar 

  22. Chaka, C.: Generative AI chatbots-ChatGPT versus YouChat versus chatsonic: use cases of selected areas of applied English language studies. Int. J. Learn. Teach. Educ. Res. 22(6), 1–19 (2023)

    Article  Google Scholar 

  23. Khan, U.A.: The Unstoppable March of Artificial Intelligence: The Dawn of Large Language Models (2023)

    Google Scholar 

  24. Miklosik, A., Evans, N., Qureshi, A.M.A.: The use of chatbots in digital business transformation: a systematic literature review. IEEE Access 9, 106530–106539 (2021)

    Article  Google Scholar 

  25. Barash, Y., Klang, E., Konen, E., Sorin, V.: ChatGPT-4 assistance in optimizing emergency department radiology referrals and imaging selection. J. Am. College Radiol. 20(10), 998–1003 (2023)

    Google Scholar 

  26. Huang, Y., et al.: Benchmarking ChatGPT-4 on a radiation oncology in-training exam and Red Journal Gray Zone cases: potentials and challenges for AI-assisted medical education and decision making in radiation oncology. Front. Oncol. 13 (2023)

    Google Scholar 

  27. Lower, K., Seth, I., Lim, B., Seth, N.: ChatGPT-4: transforming medical education and addressing clinical exposure challenges in the post-pandemic era. Ind. J. Orthopaedics 57(9), 1527–1544 (2023)

    Google Scholar 

  28. Deng, X., Yu, Z.: A meta-analysis and systematic review of the effect of chatbot technology use in sustainable education. Sustainability 15(4), 1–19 (2023)

    Article  Google Scholar 

  29. Wu, R., Yu, Z.: Do AI chatbots improve students learning outcomes? Evidence from a meta‐analysis. Br. J. Educ. Technol. 55(1), 10–33 (2023)

    Google Scholar 

  30. Fraiwan, M., Khasawneh, N.: A Review of ChatGPT Applications in Education, Marketing, Software Engineering, and Healthcare: Benefits, Drawbacks, and Research Directions. arXiv preprint arXiv:2305.00237 (2023)

  31. Wube, H.D., Esubalew, S.Z., Weldesellasie, F.F., Debelee, T.G.: Text-based chatbot in financial sector: a systematic literature review. Data Sci. Financ. Econ. 2(3), 232–259 (2022)

    Article  Google Scholar 

  32. George, A.S., George, A.H.: A review of ChatGPT AI’s impact on several business sectors. Partner. Univ. Int. Innov. J. 1(1), 9–23 (2023)

    Google Scholar 

  33. Raj, R., Singh, A., Kumar, V., Verma, P.: Analyzing the potential benefits and use cases of ChatGPT as a tool for improving the efficiency and effectiveness of business operations. BenchCouncil Trans. Benchmarks Stand. Evaluat. 3(3), 1–10 (2023)

    Google Scholar 

  34. Nugroho, S., Sitorus, A.T., Habibi, M., Wihardjo, E., Iswahyudi, M.S.: The role of ChatGPT in improving the efficiency of business communication in management science. J. Minfo Polgan 12(1), 1482–1491 (2023)

    Article  Google Scholar 

  35. Sudirjo, F., Ausat, A.M.A., Rijal, S., Riady, Y., Suherlan, S.: ChatGPT: improving communication efficiency and business management of MSMEs in the digital age. Innov. J. Soc. Sci. Res. 3(2), 643–652 (2023)

    Google Scholar 

  36. Subagja, A.D., Ausat, A.M.A., Sari, A.R., Wanof, M.I., Suherlan, S.: Improving customer service quality in MSMEs through the use of ChatGPT. J. Minfo Polgan 12(2), 380–386 (2023)

    Article  Google Scholar 

  37. Harahap, M.A.K., Ausat, A.M.A., Rachman, A., Riady, Y., Azzaakiyyah, H.K.: Overview of ChatGPT technology and its potential in improving tourism information services. J. Minfo Polgan 12(2), 424–431 (2023)

    Article  Google Scholar 

  38. Ayinde, L., Wibowo, M.P., Ravuri, B., Emdad, F.B.: ChatGPT as an important tool in organizational management: a review of the literature. Bus. Inf. Rev. 40(3), 137–149 (2023)

    Google Scholar 

  39. Global Risks Report 2023. https://www.weforum.org/reports/global-risks-report-2023/. Accessed 12 Oct 2023

  40. Winston, W.L.: Operations Research: Applications and Algorithm, 4th edn. Thomson Learning, USA (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Çağ University, Mersin, Turkey

    Hazal Ezgi Özbek

  2. Çukurova University, Adana, Turkey

    Mert Demircioğlu

Authors
  1. Hazal Ezgi Özbek
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Mert Demircioğlu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hazal Ezgi Özbek .

Editor information

Editors and Affiliations

  1. Northern Cyprus Campus, Middle East Technical University, Kalkanlı, Türkiye

    Bahaaeddin Alareeni

  2. College of Business of Finance, Ahlia University, Manama, Bahrain

    Allam Hamdan

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Özbek, H.E., Demircioğlu, M. (2024). Business and Optimization Applications Using AI Chatbots. In: Alareeni, B., Hamdan, A. (eds) Technology and Business Model Innovation: Challenges and Opportunities. ICBT 2023. Lecture Notes in Networks and Systems, vol 923. Springer, Cham. https://doi.org/10.1007/978-3-031-55911-2_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-55911-2_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-55910-5

  • Online ISBN: 978-3-031-55911-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation