BazEkon - Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie

BazEkon home page

Meny główne

Sira Mariya
Artificial Intelligence and Its Application in Business Management
Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska, 2022, z. 165, s. 307-346, bibliogr. 67 poz.
Słowa kluczowe
Sztuczna inteligencja, Zarządzanie biznesem, Aplikacje internetowe
Artificial intelligence, Business management, Internet application
Purpose: The paper aims to conduct an in-depth analysis of artificial intelligence applications in business management with a bibliometric investigation. Design/methodology/approach: (mandatory) The objectives are achieved by carrying out the research with the use of the VOSviewer software, developed at Leiden University's Centre for Science and Technology Studies (CWTS), Leiden University, the Netherlands. This software allows conducting a literature review by generating, visualising and analysing bibliometric networks. The scope of the study is limited to data retrieved from the Scopus database obtained by three search queries. Findings: The work identifies the main topic areas related to the application of artificial intelligence application, particularly in business management. Originality/value There are lots of materials devoted to artificial intelligence though there is still a lack of materials related to AI technologies categorisation and its application in certain areas. The paper points out how artificial intelligence technologies are adopted in business management. The paper also defines potential areas for research or which areas require future examination.(original abstract)
Pełny tekst
  1. Abdullah, R., Fakieh, B. (2019). Perception of Healthcare Employees Toward Utilizing AI Applications in Software Engineering Domain in Saudi Arabia (Preprint). Journal of Medical Internet Research. doi:10.2196/17620.
  2. Alkan, B.Ş. (2022). How Blockchain and Artificial Intelligence Will Effect the Cloud-Based Accounting Information Systems? Accounting, Finance, Sustainability, Governance & Fraud: Theory and Application, pp.107-119. doi:10.1007/978-981-16-8997-0_6.
  3. Basri, W. (2020). Examining the Impact of Artificial Intelligence (AI)-Assisted Social Media Marketing on the Performance of Small and Medium Enterprises: Toward Effective Business Management in the Saudi Arabian Context. International Journal of Computational Intelligence Systems, 13(1), pp. 142-152. doi:10.2991/ijcis.d.200127.002.
  4. Business World iT (2020). Artificial Intelligence (AI) in Business - A Complete Guide. Available at: text=Artificial%20intelligence%20in%20business%20simply.
  5. Canals, J., Heukamp, F. (2020). The Future of Management in an AI World. Cham: Springer International Publishing. doi:10.1007/978-3-030-20680-2.
  6. CB Insights (2022a). State Of AI GLOBAL | 2021. Available at:, 23.08.2022.
  7. CB Insights (2022b). State Of AI GLOBAL | 2022. Available at:, 23.08.2022.
  8. Chen, Y., Biswas, M.I. (2021). Turning Crisis into Opportunities: How a Firm Can Enrich Its Business Operations Using Artificial Intelligence and Big Data during COVID-19. Sustainability, 13(22), p. 12656. doi:10.3390/su132212656.
  9. Chi, Q., Li, L. (2022). Dance Fitness Action Recognition Method Based on Contour Image Spatial Frequency Domain Features and Few-Shot Learning. Computational Intelligence and Neuroscience, pp. 1-12. doi:10.1155/2022/1559099.
  10. Cook, J.F., Rozenblit, J.W., Chacko, A.K., Martinez, R., Timboe, H.L. (1999). Meta-Manager: A requirements analysis. Journal of Digital Imaging, 12(S1), pp. 186-188. doi:10.1007/bf03168795.
  11. Cui, X., Xu, B., Razzaq, A. (2022). Can Application of Artificial Intelligence in Enterprises Promote the Corporate Governance? Frontiers in Environmental Science, 10. doi:10.3389/fenvs.2022.944467.
  12. Dai, Q., Gan, Z., Wan, S., Dong, Z., Guo, Y., Zhang, L., Zhai, P. (2020). Machine intuition. Scientia Sinica Informationis, 50(10), p. 1475. doi:10.1360/ssi-2020-0075.
  13. Delanerolle, G., Yang, X., Shetty, S., Raymont, V., Shetty, A., Phiri, P., Hapangama, D.K., Tempest, N., Majumder, K., Shi, J.Q. (2021). Artificial intelligence: A rapid case for advancement in the personalization of Gynaecology/Obstetric and Mental Health care. Women's Health, 17, p. 174550652110181. doi:10.1177/17455065211018111.
  14. Feuerriegel, S., Shrestha, Y.R., von Krogh, G., Zhang, C. (2022). Bringing artificial intelligence to business management. Nature Machine Intelligence, 4(7), pp. 611-613. doi:10.1038/s42256-022-00512-5.
  15. Garcia, J., Fernandez, F. (2012). Safe Exploration of State and Action Spaces in Reinforcement Learning. Journal of Artificial Intelligence Research, 45, pp. 515-564. doi:10.1613/jair.3761.
  16. Gensure, R.H., Chiang, M.F., Campbell, J.P. (2020). Artificial intelligence for retinopathy of prematurity. Current Opinion in Ophthalmology, 31(5), pp. 312-317. doi:10.1097/ icu.0000000000000680.
  17. Guo, J., Liu, H., Li, X., Xu, D., Zhang, Y. (2021). An Attention Enhanced Spatial-Temporal Graph Convolutional LSTM Network for Action Recognition in Karate. Applied Sciences, 11(18), p. 8641. doi:10.3390/app11188641.
  18. He, Q., Zheng, H., Ma, X., Wang, L., Kong, H., Zhu, Z. (2021). Artificial intelligence application in a renewable energy-driven desalination system: A critical review. Energy and AI, 7, p. 100123. doi:10.1016/j.egyai.2021.100123.
  19. Huang, W., Ren, J., Yang, T., Huang, Y. (2021). Retracted Article: Research on urban modern architectural art based on artificial intelligence and GIS image recognition system. Arabian Journal of Geosciences, 14(10). doi:10.1007/s12517-021-07222-z.
  20. Huaping, L. (2021). Retracted Article: Analysis of coastal rainfall pattern based on artificial intelligence and global cultural communication. Arabian Journal of Geosciences, 14(17). doi:10.1007/s12517-021-08004-3.
  21. Hughes, H.K., LaBauve, I. (2019). Implementing AI in business - challenges and resolutions. Available at: documents/implementing-ai.pdf.
  22. Hussain, K., Wang, X., Omar, Z., Elnour, M., Ming, Y. (2021). Robotics and Artificial Intelligence Applications in Manage and Control of COVID-19 Pandemic. IEEE Xplore. doi:10.1109/ICCCR49711.2021.9349386.
  23. IBM Cloud Education (2020). What is Machine Learning? Available at:
  24. Jian, L. (2022). Design of enterprise human resources decision support system based on data mining. Soft Computing. doi:10.1007/s00500-021-06659-4.
  25. Kuzior, A. (2017). Problem bezrobocia technologicznego w perspektywie rozwoju Przemysłu 4.0. Etyka Biznesu i Zrównoważony Rozwój, 4, 31-38.
  26. Kuzior, A. (2021). Development of Industry 4.0 and the issue of technological unemployment case study - Poland. In: Khalid S. Soliman (ed.), Innovation management and information technology impact on global economy in the era of pandemic of the 37th International Business Information Management Association Conference (IBIMA), 30-31 May 2021, Cordoba, Spain, pp. 7843-7849.
  27. Kuzior, A. (2022). Technological Unemployment in the Perspective of Industry 4.0 Development. Virtual Economics, 5(1), pp. 7-23. doi:10.34021/ve.2022.05.01.
  28. Kuzior, A., Kwilinski, A. (2022). Cognitive Technologies and Artificial Intelligence in Social Perception. Management Systems in Production Engineering, 30(2), pp. 109-115. doi:10.2478/mspe-2022-0014.
  29. Kuzior, A., Kwilinski, A., Tkachenko, V. (2019). Sustainable development of organizations based on the combinatorial model of artificial intelligence. Entrepreneurship and Sustainability Issues, 7(2). doi:10.9770/jesi.2019.7.2.
  30. Kuzior, A., Sira, M. (2022). A Bibliometric Analysis of Blockchain Technology Research Using VOSviewer. Sustainability, 14(13), 8206.
  31. Kwilinski, A., Kuzior, A. (2020). Cognitive Technologies in the Management and Formation of Directions of the Priority Development of Industrial Enterprises. Management Systems in Production Engineering, 28(2), pp. 133-138. doi:10.2478/mspe-2020-0020.
  32. Kwilinski, A., Tkachenko, V., Kuzior, A. (2019). Transparent Cognitive Technologies to Ensure Sustainable Society Development. Journal of Security and Sustainability Issues, 9(2), pp. 561-570. doi:10.9770/jssi.2019.9.2(15).
  33. Li, H. (2022). Research on the Significance of Big Data and Artificial Intelligence Technology to Enterprise Business Management. Mobile Information Systems, pp. 1-10. doi:10.1155/2022/7639965.
  34. Li, X. (2021). The Art of Dance from the Perspective of Artificial Intelligence. Journal of Physics: Conference Series, 1852(4), p. 042011. doi:10.1088/1742-6596/1852/4/042011.
  35. Li, X., Wu, X., Wan, X., Zhong, F., Cui, C., Chen, Y., Chen, L., Chen, K., Jiang, H., Zheng, M. (2020). The application of artificial intelligence to drug sensitivity prediction. Chinese Science Bulletin, 65(32), pp. 3551-3561. doi:10.1360/tb-2020-0557.
  36. Lin, Y. (2020). Research on the Innovation of Art Design Products Based on the Concept of 'AI' Boundary. Journal of Physics: Conference Series, 1574, p. 012078. doi:10.1088/1742-6596/1574/1/012078.
  37. Liu, H. (2020). Innovation of Family Business Management Mode under the Environment of Big Data and Artificial Intelligence. Journal of Physics: Conference Series, 1533, p. 032060. doi:10.1088/1742-6596/1533/3/032060.
  38. Luna, A., Casertano, L., Timmerberg, J., O'Neil, M., Machowsky, J., Leu, C.-S., Lin, J., Fang, Z., Douglas, W., Agrawal, S. (2021). Artificial intelligence application versus physical therapist for squat evaluation: a randomized controlled trial. Scientific Reports, 11(1). doi:10.1038/s41598-021-97343-y.
  39. Ma, Y., Liu, H., Zhai, G., Huo, Z. (2021). Financial Risk Early Warning Based on Wireless Network Communication and the Optimal Fuzzy SVM Artificial Intelligence Model. Wireless Communications and Mobile Computing, pp. 1-20. doi:10.1155/2021/7819011.
  40. Maitre, E., Ramalho Sena, G., Chemli, Z., Chevalier, M., Dousset, B., Gitto, J.-P., Teste, O. (2022). The investigation of an event-based approach to improve commodities supply chain management. Brazilian Journal of Operations & Production Management, 19(2), pp. 1-19. doi:10.14488/bjopm.2022.005.
  41. McAllister, J.T., Lennertz, L., Atencio Mojica, Z. (2021). Mapping A Discipline: A Guide to Using VOSviewer for Bibliometric and Visual Analysis. Science & Technology Libraries, pp. 1-30. doi:10.1080/0194262x.2021.1991547.
  42. Moşteanu, N.R. (2022). Improving Quality of Online Teaching Finance and Business Management Using Artificial Intelligence and Backward Design. Quality - Access to Success, 23(187). doi:10.47750/qas/23.187.01.
  43. OECD (2019). Artificial Intelligence in Society. Paris: OECD Publishing. doi:10.1787/eedfee77-en.
  44. PwC (2017). PwC's Global Artificial Intelligence Study: Sizing the prize. Available at:
  45. Qi, C., Lyu, J. (2022). Applications of artificial intelligence in children and elderly care and short video industries: cases from Cubo Ai and Tiktok. International Conference on Computer Application and Information Security (ICCAIS 2021). doi:10.1117/12.2637376.
  46. Qi, K. (2020a). Business Steward: Definition, Mode and Influence. Journal of Physics: Conference Series, 1486, p. 042029. doi:10.1088/1742-6596/1486/4/042029.
  47. Qi, K. (2020b). Intelligent Steward The Definition of Intelligent Machine Assistant and the Chronological Method of Intelligent Era Machine. Journal of Physics: Conference Series, 1684, p. 012035. doi:10.1088/1742-6596/1684/1/012035.
  48. Qin, J., Qin, Q. (2021). Cloud Platform for Enterprise Financial Budget Management Based on Artificial Intelligence. Wireless Communications and Mobile Computing, pp. 1-10. doi:10.1155/2021/8038433.
  49. Ransbotham, S. (2017). Reshaping Business With Artificial Intelligence. Available at:
  50. Schmid, T., Hildesheim, W., Holoyad, T., Schumacher, K. (2021). The AI Methods, Capabilities and Criticality Grid. KI - Künstliche Intelligenz, 35(3-4), pp. 425-440. doi:10.1007/s13218-021-00736-4.
  51. Siebers, P.-O., Klügl, F. (2017). What Software Engineering Has to Offer to Agent-Based Social Simulation. Understanding Complex Systems, pp. 81-117. doi:10.1007/978-3-319-66948-9_6.
  52. Šperka, R., Spišák, M. (2014). Trading Agents' Negotiation in Business Management Using Demand Functions: Simulation Experiments with Binomial Distribution. Procedia Computer Science, 35, pp. 1436-1444. doi:10.1016/j.procs.2014.08.202.
  53. Stadnicka, D., Sęp, J., Amadio, R., Mazzei, D., Tyrovolas, M., Stylios, C., Carreras-Coch, A., Merino, J.A., Żabiński, T., Navarro, J. (2022). Industrial Needs in the Fields of Artificial Intelligence, Internet of Things and Edge Computing. Sensors, 22(12), p. 4501. doi:10.3390/s22124501.
  54. Suehiro, K., Masumura, K., Morita, T., Yamaguchi, T. (2019). Semantic Search Engine for Daily Work Reports Integrating Heterogeneous Ontologies. Procedia Computer Science, 159, pp. 2061-2070. doi:10.1016/j.procs.2019.09.379.
  55. Tello, J., Subramanian, L. (2022). The magic behind turning data into profit The magic behind turning data into profit. Available at: Deloitte/us/Documents/deloitte-analytics/us-ai-institute-challenges-of-using-artificial-intelligence-final.pdf.
  56. van Duin, S., Bakhshi, N. (2018). Artificial Intelligence. Available at:
  57. Van Eck, N.J., Waltman, L. (2022). VOSviewer Manual. Available at:, 26.03.2022.
  58. Wang, J. (2022). A Business Management Resource-Scheduling Method based on Deep Learning Algorithm. Mathematical Problems in Engineering, pp. 1-9. doi:10.1155/2022/1122024.
  59. Wang, S. (2021). Artificial Intelligence Applications in the New Model of Logistics Development Based on Wireless Communication Technology. Scientific Programming, pp. 1-5. doi:10.1155/2021/5166993.
  60. WIPO (2019). Artificial Intelligence. Available at: pubdocs/en/wipo_pub_1055.pdf.
  61. Xu, H. (2020). Application of artificial intelligence in computer network technology under the background of big data era. Journal of Physics: Conference Series, 1550, p. 032033. doi:10.1088/1742-6596/1550/3/032033.
  62. Xuanbei, S. (2021). Big data and Artificial Intelligence Drive Human Resource Management Innovation Research. Journal of Physics: Conference Series, 1955(1), p. 012011. doi:10.1088/1742-6596/1955/1/012011.
  63. Yang, L., Jiang, G., Li, G., Chen, X. (2019). Lean Rate of Posts in Different Departments Based on ANP Method. Journal of Advanced Computational Intelligence and Intelligent Informatics, 23(2), pp. 317-322. doi:10.20965/jaciii.2019.p0317.
  64. Zhang, J. (2021a). Development of Internet Supply Chain Finance Based on Artificial Intelligence under the Enterprise Green Business Model. Mathematical Problems in Engineering, pp. 1-10. doi:10.1155/2021/9947811.
  65. Zhang, Y. (2021b). Design and Implementation of a Web Services-Based Business Administration Computer System. Journal of Physics: Conference Series, 1852(2), p. 022009. doi:10.1088/1742-6596/1852/2/022009.
  66. Zhao, Y. (2022). Decision Support System for Economic Management of Large Enterprises Based on Artificial Intelligence. Wireless Communications and Mobile Computing, pp. 1-11. doi:10.1155/2022/9453580.
  67. Zhu, D. (2022). A Fuzzy Comprehensive Evaluation and Random Forest Model for Financial Account Audit Early Warning. Mobile Information Systems, pp. 1-11. doi:10.1155/2022/5425618.
Cytowane przez
Udostępnij na Facebooku Udostępnij na Twitterze Udostępnij na Google+ Udostępnij na Pinterest Udostępnij na LinkedIn Wyślij znajomemu