Have a personal or library account? Click to login
Overview of Current Research on Artificial Intelligence in Logistics Cover

Overview of Current Research on Artificial Intelligence in Logistics

Open Access
|Jan 2025

References

  1. Kovshova, T., Trifonov, P. & Ramirez-Asis, E. (2023). Improving the efficiency of intellectualisation processes in enterprise management systems. Systems 11, 266. DOI: 10.3390/systems11060266.
  2. Fragapane, G., Ivanov, D., Peron, M., Sgarbossa, F. & Strandhagen, J.O. (2022). Increasing flexibility and productivity in Industry 4.0 production networks with autonomous mobile robots and smart intralogistics. Ann. Oper. Res. 308, 125–143. DOI: 10.1007/s10479-020-03526-7.
  3. Trocin, C., Hovland, I.V., Mikalef, P. & Dremel, C. (2021). How Artificial Intelligence affords digital innovation: A cross-case analysis of Scandinavian companies. Technol. Forecast. Soc. Change 173, 121081. DOI: 10.1016/j.techfore.2021.121081.
  4. Ahmed, S. (2020). Environmental sustainability coding techniques for cloud computing. Int. J. Adv. Comput. Sci. Appl. 11, 231–237.
  5. Langer, M. & Landers, R.N. (2021). The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers. Comput. Hum. Behav. 123, 106878. DOI: 10.1016/j.chb.2021.106878.
  6. Zhao, G., Li, Y. & Xu, Q. (2022). From Emotion AI to Cognitive AI. Int. J. Netw. Dyn. Intell. 65–72. DOI: 10.53941/ijndi0101006.
  7. Sirojiddinova, I.M. (2023). Scientific and Technological Progress, Problems and Solutions In the Application of Artificial Intelligence. Am. J. Lang. Lit. Learn. STEM Educ. 2993-2769 1, 49–53.
  8. Cecchi, R., Haja, T.M., Calabrò, F., Fasterholdt, I. & Rasmussen, B.S.B. (2024). Artificial intelligence in healthcare: Why not apply the medico-legal method starting with the Collingridge dilemma? Int. J. Legal Med. 138, 1173–1178. DOI: 10.1007/s00414-023-03152-5.
  9. Goodell, J.W., Kumar, S., Lim, W.M. & Pattnaik, D. (2021). Artificial intelligence and machine learning in finance: Identifying foundations, themes, and research clusters from bibliometric analysis. J. Behav. Exp. Finance 32, 100577. DOI: 10.1016/j.jbef.2021.100577.
  10. Holubčík, M., Vodak, J. & Soviar, J. (2018). How to manage business in a collaborative environment – a case study of multinational companies. Communications in Computer and Information Science 877, 299–311.
  11. Štaffenová, N. & Kucharčíková, A. (2023). Digitalization in the Human Capital Management. Systems 11, 337. DOI: 10.3390/systems11070337.
  12. Brown, M., Anderson, B. & Murray, F. (2007). E-learning policy issues: Global trends, themes and tensions.
  13. Khan, B. (2005). Managing e-learning strategies: Design, delivery, implementation and evaluation. Information Science Publishing.
  14. Boute, R.N. & Udenio, M. (2023). AI in logistics and supply chain management. In R. Merkert & K. Hoberg (Eds.), Global logistics and supply chain strategies for the 2020s: Vital skills for the next generation (pp. 49–65). Springer International Publishing. DOI: 10.1007/978-3-030-95764-3_3.
  15. Dhaliwal, A. (2020). The rise of automation and robotics in warehouse management. In Transforming management using artificial intelligence techniques. CRC Press.
  16. Tripathi, S., Shukla, S., Attrey, S., Agrawal, A. & Bhadoria, V.S. (2020). Smart Industrial Packaging and Sorting System, in: Kapur, P.K., Singh, O., Khatri, S.K., Verma, A.K. (Eds.), Strategic System Assurance and Business Analytics. Springer, Singapore, 245–254. DOI: 10.1007/978-981-15-3647-2_18.
  17. Zhang, Y. & Cheng, W. (2019). Vision-based robot sorting system. IOP Conf. Ser. Mater. Sci. Eng. 592, 012154. DOI: 10.1088/1757-899X/592/1/012154.
  18. Alomar, M.A. (2022). Performance optimization of industrial supply chain using artificial intelligence. Comput. Intell. Neurosci. 2022, 9306265. DOI: 10.1155/2022/9306265.
  19. Sohn, K. (2021). AI-Based Transportation Planning and Operation. MDPI.
  20. Willems, L. (2021). Understanding the Impacts of Autonomous Vehicles in Logistics, in: The Digital Transformation of Logistics. John Wiley & Sons, Ltd, 113–127. DOI: 10.1002/9781119646495.ch8.
  21. Lee, H.-W. (2022). Research on multi-functional logistics intelligent unmanned aerial vehicle. Eng. Appl. Artif. Intell. 116, 105341. DOI: 10.1016/j.engappai.2022.105341.
  22. López, G., Quesada, L. & Guerrero, L.A. (2018). Alexa vs. Siri vs. Cortana vs. Google Assistant: A Comparison of Speech-Based Natural User Interfaces, in: Nunes, I.L. (Ed.), Advances in Human Factors and Systems Interaction. Springer International Publishing, Cham, 241–250. DOI: 10.1007/978-3-319-60366-7_23.
  23. Tulshan, A.S. & Dhage, S.N. (2019). Survey on Virtual Assistant: Google Assistant, Siri, Cortana, Alexa, in: Thampi, S.M., Marques, O., Krishnan, S., Li, K.-C., Ciuonzo, D., Kolekar, M.H. (Eds.), Advances in Signal Processing and Intelligent Recognition Systems. Springer, Singapore, 190–201. DOI: 10.1007/978-981-13-5758-9_17.
  24. Chandrasekar, R. (2014). Elementary? Question answering, IBM’s Watson, and the Jeopardy! challenge. Resonance 19, 222–241. DOI: 10.1007/s12045-014-0029-7.
  25. Warwick, K. & Shah, H. (2016). Can machines think? A report on Turing test experiments at the Royal Society. J. Exp. Theor. Artif. Intell. 28, 989–1007. DOI: 10.1080/0952813X.2015.1055826.
  26. Alto, V. (2023). Modern generative AI with ChatGPT and OpenAI models: Leverage the capabilities of OpenAI’s LLM for productivity and innovation with GPT3 and GPT4. Packt Publishing Ltd.
  27. Samarinas, C., Hsu, W. & Lee, M.L. (2020). Latent Retrieval for Large-Scale Fact-Checking and Question Answering with NLI training, in: 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI). Presented at the 2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI) (pp. 941–948). DOI: 10.1109/ICTAI50040.2020.00147.
  28. Paksoy, T., Kochan, C.G. & Ali, S.S. (2020). Logistics 4.0: Digital Transformation of Supply Chain Management. CRC Press.
  29. Kredina, A., Akhtanova, M., Bekturganova, M., Tsoy, A. & Spankulova, L. (2022). The relationship between logistics and information and communication technologies and their impact on the economy of Kazakhstan. Probl. Perspect. Manag. 20, 344–355. DOI: 10.21511/ppm.20(4).2022.26
  30. Leonhard, G. (2017). Technology vs. Humanity: Unsere Zukunft zwischen Mensch und Maschine (1st ed.). Vahlen.
  31. Stacho, Z., Stachová, K., Lukáč, M., Kupec, V. & Petrů, N. (2023). Management Reflections on Innovations in Digitalization, with an Emphasis on Degree of Work Autonomy. E M Ekon. Manag. 26, 78–93. DOI: 10.15240/TUL/001/2023-1-005.
  32. Vodak, J., Soviar, J. & Lendel, V. (2014). Identification of the Main Aspects of Cooperation Management and the Problems Arising from their Misunderstanding. Commun. - Sci. Lett. Univ. Zilina 16, 93–101. DOI: 10.26552/com.C.2014.3.93-101.
  33. Kusnirova, D., Durisova, M. & Bubeliny, O. (2024). Enhancing stakeholder value: Managerial activities in the value creation process for suppliers and buyers – Evidence from Slovak enterprises. Adm. Sci. 14, 186. DOI: 10.3390/admsci14080186.
  34. Kušnírová, D., Bubelíny, O. & Ďurišová, M. (2024). Value management: Enterprises’ interest in stakeholders and its impact on creating sustainable relationships with suppliers and buyers. Sustain. 16. DOI: 10.3390/su16167148.
  35. Engesser, V., Rombaut, E., Vanhaverbeke, L. & Lebeau, P. (2023). Autonomous delivery solutions for last-mile logistics operations: A literature review and research agenda. Sustainability 15, 2774. DOI: 10.3390/su15032774.
  36. Juraeva, G., Mirzaev, N., Hamroev, R. & Rustamov, M. (2023). Transport features of logistics. E3S Web Conf. 402, 01016. DOI: 10.1051/e3sconf/202340201016.
  37. Sahoo, S. & Goswami, S. (2024). Theoretical framework for assessing the economic and environmental impact of water pollution: A detailed study on sustainable development of India. J. Future Sustain. 4, 23–34.
  38. Šulyová, D., Vodák, J. & Kubina, M. (2021). Effective management of scarce water resources: From antiquity to today and into the future. Water Switz. 13. DOI: 10.3390/w13192734.
  39. Mahardhani, A.J. (2023). The Role of Public Policy in Fostering Technological Innovation and Sustainability. J. Contemp. Adm. Manag. ADMAN 1, 47–53. DOI: 10.61100/adman.v1i2.22.
  40. Vodák, J., Soviar, J. & Lendel, V. (2013). The evaluation system proposal of the businesses preparedness for cooperative management implementation. Bus. Theory Pract. 14, 315–322. DOI: 10.3846/btp.2013.33.
  41. Beresecká, J., Vicianová, J.H., Hronec, Š. & Lapuník, R. (2023). The issue of small municipalities - The possibility of applying the principles of socially responsible management. Lect. Notes Comput. Sci. Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinforma., 13957, 516–540. DOI: 10.1007/978-3-031-36808-0_37.
  42. Malatinec, T. (2021). Local barriers in the efficient use of Green Public Procurement-case of Slovakia. Juridical Trib. 11, 524–534. DOI: 10.24818/TBJ/2021/11/3.07.
  43. Tittelbachová, Š., Čajková, A., Lukáč, M. & Lžičař, P. (2022). Impact of the COVID-19 pandemic on tourism in the Czech Republic. Terra Econ. 20, 133–145. DOI: 10.18522/2073-6606-2022-20-3-133-145.
Language: English
Page range: 13 - 24
Submitted on: Dec 9, 2024
Accepted on: Dec 19, 2024
Published on: Jan 24, 2025
Published by: Institute of Technology and Business in České Budějovice
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2025 Patrik Boršoš, Gabriel Koman, published by Institute of Technology and Business in České Budějovice
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.