SUMMARY
Large language model based artificial intelligence has the potential to transform businesses operations. Currently the most common use cases are automating routine tasks, workflow assistance, supplementing education, generating summaries and supporting various marketing tasks. By improving data processing, large language models can greatly enhance information systems, allowing for better decision-making and faster response times. Improved data utilisation enhances management control, enabling companies to better manage their resources and achieve their strategic goals.
2023. SPECIAL ISSUE 2 56-59
DOI: 10.24387/CI.2023.SPECIAL ISSUE 2.10
Cikk megtekintése: http://controllerinfo.hu/wp-content/uploads/2024/02/ContrInf_beliv_kulonszam_2023_2-10.pdf
REFERENCES
Javaid, M. – Haleem, A. – Singh, R.P. (2023): A study on ChatGPT for Industry 4.0: Background, Potentials, Challenges, and Eventualities, Journal of Economy and Technology, Volume 1, November 2023, Pages 127-143, https://doi.org/10.1016/j.ject.2023.08.001 ISSN 2949-9488
Just, J. (2023): Natural language processing for innovation search – Reviewing an emerging non-human innovation intermediary, Technovation, Volume129, 102883, ISSN 0166-4972, https://doi.org/10.1016/j.technovation.2023.102883
Kshetri, N. – Dwivedi, Y.K. – Davenport, T.H. – Panteli, N. (2023): Generative artificial intelligence in marketing: Applications, opportunities, challenges, and research agenda. International Journal of Information Management, 102716. ISSN 0268-4012, https://doi.org/10.1016/j.ijinfomgt.2023.102716
Qi, S. – Cao, Z. – Rao, J. – Wang, L. – Xiao, J. – Wang, X. (2023): What is the limitation of multimodal LLMs? A deeper look into multimodal LLMs through prompt probing. Information Processing & Management, 60(6), 103510. ISSN 0306-4573, https://doi.org/10.1016/j.ipm.2023.103510
Rese, A. – Tränkner, P. (2023): Perceived conversational ability of task-based chatbots – Which conversational elements influence the success of text-based dialogues? International Journal of Information Management, 74, 102699. ISSN 0268-4012, https://doi.org/10.1016/j.ijinfomgt.2023.102699
Vidgof, M. – Bachhofner, S. – Mendling, J. (2023): Large Language Models for Business Process Management: Opportunities and Challenges, arXiv e-prints, https://doi.org/10.48550/arXiv.2304.04309
Wamba, S.F. – Queiroz, M.M. – Jabbour, C.J.C. – Shi, C. (2023): Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence? International Journal of Production Economics, 265, 109015. ISSN 0925-5273, https://doi.org/10.1016/j.ijpe.2023.109015
Wu, X. – Duan, R. – Ni, J. (2023): Unveiling Security, Privacy, and Ethical Concerns of ChatGPT. Journal of Information and Intelligence, ISSN 2949-7159, https://doi.org/10.1016/j.jiixd.2023.10.007