References
- Abdelazim, H. Y., & Wahba, K. (2006). An artificial intelligence approach to portfolio selection and management. International Journal of Financial Services Management, 1(2–3), 243–254. https://doi:10.1504/ijfsm.2006.009629
- Ahn, M. J., & Chen, Y. C. (2022). Digital transformation toward AI-augmented public administration: The perception of government employees and the willingness to use AI in government. Government Information Quarterly, 39(2), Article 101664. https://doi:10.1016/j.giq.2021.101664
- Aktürk, C. (2021). Artificial intelligence in enterprise resource planning systems: A bibliometric study. Journal of International Logistics & Trade, 19(2), 69–82. https://doi:10.24006/jilt.2021.19.2.069
- Aljarrah, A., Ababneh, M., Karagozlu, D., & Ozdamli, F. (2021). Artificial intelligence techniques for distance education: A systematic literature review. Tem Journal-Technology Education Management Informatics, 10(4), 1621–1629. https://doi:10.18421/TEM104-18
- Allen, R. D., Harding, J. A. & Newman, S. T. (2005). The application of STEP-NC using agent-based process planning. International Journal of Production Research, 43(4), 655–670. https://doi:10.1080/00207540412331314406
- Arditi, D., & Pulket, T. (2010). Predicting the outcome of construction litigation using an integrated artificial intelligence model. Journal of Computing in Civil Engineering, 24(1), 73–80. https://doi:10.1061/(ASCE)0887-3801(2010)24:1(73)
- Ascarza, E., Ross, M., & Hardie, B. G. S. (2021). Why you aren't getting more from your marketing AI. Harvard Business Review, 99(4), 48–54.
- Babbar, S., & Rai, A. (1990). Computer integrated flexible manufacturing: An implementation framework. International Journal of Operations & Production Management, 10(1), 42–50. doi: 10.1108/01443579010005029
- Baker, R. (1990). Computer Integrated Manufacturing: Physical Modelling Systems Design. A Personal View. TAFE National Centre for Research and Development, 252 Kensington Road, Leabrook, South Australia 5068, Australia.
- Biggs, S. F., Mock, T., & Watkins, P. R. (1988). Auditor's use of analytical review in audit program design. Accounting Review, 63(1), 148–161.
- Blazek, L. (2021). Management and Administration of Companies Under the Influence of Development Industry 4.0. In ECMLG 2021: 17th European Conference on Management, Leadership & Governance, 44–54. Academic Conferences Ltd. https://doi:10.34190/MLG.21.088
- Bohm, A., & Jajcay, N. (2022). Technical and practical aspects of artificial intelligence in cardiology. Bratislava Medical Journal / Bratislavske Lekarske Listy, 123(1), 16–21. https://doi:10.4149/BLL_2022_003
- Bouwman, M. J. (1983). Human diagnostic reasoning by computer: An illustration from financial analysis. Management Science, 29(6), 653–672. https://doi:10.1287/mnsc.29.6.653
- Bożejko, W., & Wodecki, M. (2010). Scheduling of construction projects. In Proceedings of the 6th European Conference on Management, Leadership & Governance (pp. 64–72). Academic Publishing Ltd.
- Brock, J. K. U., & Von Wangenheim, F. (2019). Demystifying AI: What digital transformation leaders can teach you about realistic artificial intelligence. California Management Review, 61(4), 110–134. https://doi:10.1177/1536504219865226
- Buckner, G. D., & Shah, V. (1991). Management of knowledge-based organizations. American Business Review, 9(2), 70–79.
- Byrd, T. A. (1993). Expert systems in production and operations management: Results of a survey. Interfaces, 23(2), 118–129. https://doi:10.1287/inte.23.2.118
- Chen, Y., Han, Z., Cao, K., Zheng, X., & Xu, X. (2020). Manufacturing upgrading in industry 4.0 era. Systems Research and Behavioral Science, 37(4), 766–771. https://doi:10.1002/sres.2717
- Chen, Z. (1994). Enhancing Database Management to Knowledge Base Management: The Role of Information Retrieval Technology. Information Processing and Management, 30(3), 419–435.
- Chuang, S., & Graham, C. M. (2020). Contemporary issues and performance improvement of mature workers in Industry 4.0. Performance Improvement, 59(6), 21–30. https://doi:10.1002/pfi.21921
- Conway, R. W., Johnson, B. M., & Maxwell, W. L. (1959). Some problems of digital systems simulation. Management Science, 6(1), 92–110. https://doi:10.1287/mnsc.6.1.92
- Crijman, A.-M. (2021). Good business processes candidates for automation future of work: Robotic process automation. Annals of “Constantin Brancusi” University of Targu-Jiu. Economy Series, (4), 63–71. https://www.utgjiu.ro/revista/ec/pdf/2021-04/08_Crijman.pdf
- Crunk, J., & North, M. M. (2007). Decision support systems and artificial intelligence technologies in aid of information systems based marketing. International Management Review, 3(2), 61–67.
- Curry, B., & Moutinho, L. (1994). Intelligent computer models for marketing decisions. Management Decision, 32(4), 30–35. https://doi:10.1108/00251749410058653
- Dahiya, N., & Sayyad, M. (2021). Artificial intelligence of things: A IoT in various markets of IoT deployments. International Journal of Recent Research Aspects, 8(3), 18–26.
- Daskou, S., & Mangina, E. E. (2003). Artificial intelligence in managing market relationships: The use of intelligence agents. Journal of Relationship Marketing, 2(1–2), 85–102. https://doi:10.1300/J366v02n01_06
- Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42. https://doi:10.1007/s11747-019-00696-0
- Dec, G., Stadnicka, D., Paśko, Ł., Mądziel, M., Figliè, R., Mazzei, D. ... Solé-Beteta, X. (2022). Role of academics in transferring knowledge and skills on artificial intelligence, Internet of Things and edge computing. Sensors, 22(7), Article 2496. https://doi:10.3390/s22072496
- Dharmaraja, R. (2002). Is the debt-collection industry a suitable candidate for artificial intelligence? Business Credit, 104(1), 39–43.
- Długosz, A., Rostek, K., & Zawiła-Niedźwiecki, J. (2018). Wpływ nowych technologii na zarządzanie - technologiczne wyzwania biznesu - sztuczna inteligencja: perspektywa Intel Polska [The impact of new technologies on management - technological challenges of business - artificial intelligence: intel Poland's perspective]. Przegląd Organizacji [Organization Review], 7, 54–56.
- Donovan, J. J., & Jacoby, H. D. (1977). Virtual machine communication for the implementation of decision support systems. IEEE Transactions on Software Engineering, 3(5), 333–342.
- Drewniak, Z., & Posadzińska, I. (2019). Learning and development tools in supporting of artificial intelligence companies innovativeness. In European Conference on Management, Leadership & Governance (pp. 125–132). Academic Conferences International Limited.
- Easterby-Smith, M., Thorne, R. & Jackson, P. R. (2015). Management and business research. Sage.
- Egan, J. (1993). Artificially intelligent investing. U.S. News & World Report, 56(10), 73.
- Feigenbaum, E., & Feldman, J. (1963). Computers and thought. McGraw-Hill.
- Frank, M. R., Autor, D., Bessen, J. E., Brynjolfsson, E., Cebrian, M., Deming, D. J. ... Rahwan, I. (2019). Toward understanding the impact of artificial intelligence on labor. Proceedings of the National Academy of Sciences, 116(14), 6531–6539. https://doi:10.1073/pnas.1900949116
- Ghandour, A. (2021). Opportunities and challenges of artificial intelligence in banking: Systematic literature review. TEM Journal, 10(4), 1581–1587. https://doi:10.18421/TEM104-12
- Gladwin, L. A. (1984). The impact of artificial intelligence on training. Training & Development Journal, 38(12), 46–47.
- Gotthardt, M., Koivulaakso, D., Paksoy, O., Saramo, C., Martikainen, M., & Lehner, O. (2020). Current state and challenges in the implementation of smart robotic process automation in accounting and auditing. ACRN Journal of Finance and Risk Perspectives, 8, 31–46. https://doi.org/10.35944/jofrp.2020.9.1
- Gupta, S., Modgil, S., Bhattacharyya, S., & Bose, I. (2021). Artificial intelligence for decision support systems in the field of operations research: Review and future scope of research. Annals of Operations Research, 308(1/2), 215–274. https://doi:10.1007/s10479-020-03856-6
- Gusc, J., Bosma, P., Jarka, S., & Biernat-Jarka, A. (2022). The big data, artificial intelligence, and blockchain in true cost accounting for energy transition in Europe. Energies, 15(3), Article 1089. https://doi:10.3390/en15031089
- Han, T., Zhu, J., Chen, X., Chen, R., Jiang, Y., Wang, S. ... Xu, C. (2022). Application of artificial intelligence in real-world research for predicting the risk of liver metastasis in T1 colorectal cancer. Cancer Cell International, 22(1), 1–15. https://doi:10.1186/s12935-021-02424-7
- Harvey, W., & SRI International (1985). Designing educational software for tomorrow. SRI International.
- Hauer, I. (2009). Some considerations about knowledge management: A view from knowledge management and artificial intelligence relationship. Megatrend Review, 6(2), 269–277.
- Hawkins, S., & Pollock, A. M. (1996). Future of artificial intelligence is in streamlining care. Lancet, 347(9008), 1104–1104. https://doi:10.1016/S0140-6736(96)90290-1
- Heinrich, T., & Witko, C. (2021). Technology-induced job loss and the prioritization of economic problems in the mass public. Review of Policy Research, 38(2), 164–179. https://doi:10.1111/ropr.12418
- Hellvig, R., Dumitrescu, C., & Dumitrescu, M. (2020). Management of cybercrime in the financial field: Perspectives to combat the phenomenon. Internal Auditing & Risk Management, 15(3), 23–33. https://doi:10.5281/zenodo.4058353
- Henning, P. A., Henning, J., & Glück, K. (2021). Artificial intelligence: Its future in the health sector and its role for medical education. Journal of European CME, 10(1), 1–6. https://doi:10.1080/21614083.2021.2014099
- Husby, O. (1990). Library automation. Higher Education Management, 2(3), 299–309.
- Jaiswal, A., Arun, C. J., & Varma, A. (2022). Rebooting employees: upskilling for artificial intelligence in multinational corporations. International Journal of Human Resource Management, 33(6), 1179–1208. https://doi:10.1080/09585192.2021.1891114
- Jayaram, A. (2021, March 21). Soon, AI-based robots to replace financial advisers: Oracle study. Business Today. In https://www.businesstoday.in/latest/corporate/story/soon-ai-based-robots-to-replace-financial-advisers-oracle-study-291397-2021-03-21
- João Correia, M., & Matos, F. (2021). The impact of artificial intelligence on innovation management: A literature review. In Proceedings of the European Conference on Innovation & Entrepreneurship (pp. 222–230). https://doi:10.34190/EIE.21.225
- Kashiwagi, D. T., & Byfield, R. (2002). Testing of minimization of subjectivity in best value procurement by using artificial intelligence systems in state of Utah procurement. Journal of Construction Engineering & Management, 128(6), 496–502. https://doi:10.1061/(ASCE)0733-9364(2002)128:6(496
- Kastner, J. K., & Hong, S. J. (1984). A review of expert systems. European Journal of Operational Research, 18(3), 285–292. https://doi:10.1016/0377-2217(84)90150-4
- Kathawala, Y., & Allen, W. R. (1993). Expert systems and job shop scheduling. International Journal of Operations & Production Management, 13(2), 23–35. https://doi:10.1108/01443579310025286
- Keen, P. G. W. (1976). “Interactive” computer systems for managers: A modest proposal. Sloan Management Review, 18(1), 1–17.
- Keen, P. G. W. (1980). Decision support systems: Translating analytic techniques into useful tools. Sloan Management Review, 21(3), 33–44.
- Kernan, J. B. (1965). Thinking by machine? Advanced Management Journal, 30(2), 69–73.
- Kerr, R. M., & Ebsary, R. V. (1988). Implementation of an expert system for production scheduling. European Journal of Operational Research, 33(1), 17–29. https://doi:10.1016/0377-2217(88)90250-0
- Kobbacy, K. A. H., Vadera, S., & Rasmy, M. H. (2007). AI and OR in management of operations: History and trends. Journal of the Operational Research Society, 58(1), 10–28. https://doi:10.1057/palgrave.jors.2602132
- Kshirsagar, P. R., Tirth, V., Islam, S., Qaiyum, S., Al Duhayyim, M., & Waji, Y. A. (2022). IOT Based Smart Wastewater Treatment Model for Industry 4.0 Using Artificial Intelligence. Scientific Programming, 2022, Article 5134013. https://doi:10.1155/2022/5134013
- Kumar, I., Rawat, J., Mohd, N., & Husain, S. (2021). Opportunities of artificial intelligence and machine learning in the food industry. Journal of Food Quality, 2021, Article 4535567, 1–10. https://doi:10.1155/2021/4535567
- Kumar, V., Rajan, B., Venkatesan, R., & Lecinski, J. (2019). Understanding the role of artificial intelligence in personalized engagement marketing. California Management Review, 61(4), 135–155. https://doi:10.1177/0008125619859317
- Kumara, S., & Lehtihet, A. L. (1989). Artificial intelligence and expert systems: Their relevance to manufacturing. In International Handbook of Production & Operations Management (pp. 210–236), Taylor & Francis.
- Łapińska, J., Escher, I., Górka, J., Sudolska, A., & Brzustewicz, P. (2021). Employees' trust in artificial intelligence in companies: The case of energy and chemical industries in Poland. Energies, 14(7), Article 1942. https://doi:10.3390/en14071942
- Lee, I. (2007). Evaluating artificial intelligence heuristics for a flexible Kanban system: simultaneous Kanban controlling and scheduling. International Journal of Production Research, 45(13), 2859–2873. https://doi:10.1080/00207540600806505
- Liebowitz, J., & Prerau, D.S. (1995). Worldwide intelligent systems: Approaches to telecommunications and network management. IOS Press.
- Liu, Q. (2022). Analysis of collaborative driving effect of artificial intelligence on knowledge innovation management. Scientific Programming, 2022, Article 8223724, 1–8. https://doi:10.1155/2022/8223724
- Lodish, L. M. (1982). A marketing decision support system for retailers. Marketing Science, 1(1), 31–56. https://doi:10.1287/mksc.1.1.31
- Lou, B., and Wu, L. (2021). AI on drugs: Can artificial intelligence accelerate drug development? Evidence from a large-scale examination of bio-pharma firms. MIS Quarterly, 45(3), 1451–1482. https://doi:10.25300/MISQ/2021/16565
- Luo, T., Li, G., and Yu, N. (2021). Application of artificial intelligence and collaborative knowledge for manufacturing design. Scientific Programming, 2021, Article 5846952, 1–7. https://doi:10.1155/2021/5846952
- Marzec, P., & Sliż, P. (2020). The specificity of Polish and Israeli start-ups utilizing modern ICT technologies. Organization & Management Quarterly, 50(2), 99–112. https://doi:10.29119/1899-6116.2020.50.8
- Munguía, J., Lloveras, J., Llorens, S., & Laoui, T. (2010). Development of an AI-based rapid manufacturing advice system. International Journal of Production Research, 48(8), 2261–2278. https://doi:10.1080/00207540802552675
- Murphy, F. H. (2005). ASP, the art and science of practice: Elements of a theory of the practice of operations research: A framework. Interfaces, 35(2), 154–163. https://doi:10.1287/inte.1050.0126
- Navneet, B., Helena, B., Benoît, G., & Stoyan, T. (2020). Innovation management in the age of artificial intelligence. In Proceedings of ISPIM Conferences, 1–24.
- Oliveira, L., Dias, R., Rebello, C. M., Martins, M. A., Rodrigues, A. E., Ribeiro, A. M., & Nogueira, I. B. (2021). Artificial intelligence and cyber-physical systems: A review and perspectives for the future in the chemical industry. AI, 2(3), 429–443. https://doi:10.3390/ai2030027
- Oprea, M., Sánchez-Marré, M., & Wotawa, F. (2005). Binding environmental sciences and artificial intelligence. AI Communications, 18(4), 243–245.
- Overgoor, G., Chica, M., Rand, W., & Weishampel, A. (2019). Letting the computers take over: Using AI to solve marketing problems. California Management Review, 61(4), 156–185. https://doi:10.1177/0008125619859318
- Overholt, A. (2002). True or false: You're hiring the right people. Fast Company, 55, 110–114. https://www.fastcompany.com/44463/true-or-false-youre-hiring-right-people.
- Padmanabhan, B., Fang, X., Sahoo, N., & Burton-Jones, A. (2022). Machine learning in information systems research. MIS Quarterly, 46(1), iii–xviii.
- Parker, H., & Appel, S. E. (2021). On the path to artificial intelligence: The effects of a robotics solution in a financial services firm. South African Journal of Industrial Engineering, 32(2), 37–47. https://doi:10.7166/32-2-2390
- Patalay, S., & Bandlamudi, M. R. (2021). Decision support system for stock portfolio selection using artificial intelligence and machine learning. Ingénierie des systèmes d'information, 26(1), 87–93. https://doi:10.18280/isi.260109
- Pawlicka, K. (2021). The use of artificial intelligence and sustainable supply chain finance in omnichannel logistics services. Materials Management and Logistics, 10, 27–35. https://doi:10.33226/1231-2037.2021.10.3
- Pelton, J. N. (1990). Technology and education: Friends or foes? (ED330302). ERIC.
- Pfefferkorn, C. E. (1975). A heuristic problem-slving design system for equipment or furniture layouts. Communications of the ACM, 18(5), 286–297. https://doi:10.1145/360762.360817
- Pouliakas, K. (2021). Understanding technological change and skill needs: Big data and artificial intelligence methods. (ED613872). ERIC. https://files.eric.ed.gov/fulltext/ED613872.pdf
- Powell, W. B. (2010). Merging AI and OR to solve high-dimensional stochastic optimization problems using approximate dynamic programming. INFORMS Journal on Computing, 22 (1), 2–17. https://doi:10.1287/ijoc.1090.0349
- PR Newswire (2019). Security Information and Event Management (SIEM)-Global Market Analysis. Forecast to 2023', PR Newswire US, 26 February.
- Pritchard, S. (2021, April 12). How robotic process automation is getting smarter as it evolves. Computer Weekly, 13–17. https://www.computerweekly.com/feature/How-robotic-process-automation-is-getting-smarter-as-it-evolves
- Pryde, A. (2001, October 12). Job fears hinder modernisation. Public Finance. https://www.publicfinance.co.uk/news/2001/10/job-fears-hinder-modernisation
- Qi, J., Wu, F., Li, L., & Shu, H. (2007). Artificial intelligence applications in the telecommunications industry. Expert Systems, 24(4), 271–291. https://doi:10.1111/j.1468-0394.2007.00433.x
- Rader, G. M., & Montgomery, C. A. (1974). A method for composing simple traditional music by computer. Communications of the ACM, 17(11), 631–638. https://doi:10.1145/361179.361200
- Rapoport, A. (1964). Computers and thought. Management Science, 11(1), 203–210.
- Remlein, M., Bejger, P., Olejnik, I., Jastrzębowski, A., & Obrzeżgiewicz, D. (2022). Application of process automation with the use of robotization in financial accounting in business units operating in Poland. Theoretical Journals of Accounting, 46(1), 47–65. https://doi:10.5604/01.3001.0015.7988
- Rezgui, Y., Brown, A., Cooper, G., Brandon, P. & Betts, M. (1998). Intelligent models for collaborative construction engineering. Computer-Aided Civil and Infrastructure Engineering, 13(3), 151–161. https://doi:10.1111/0885-9507.00095
- Rodríguez-Rángel, H., Arias, D. M., Morales-Rosales, L. A., Gonzalez-Huitron, V., Valenzuela Partida, M., & García, J. (2022). Machine learning methods modeling carbohydrate-enriched cyanobacteria biomass production in wastewater treatment systems. Energies, 15(7), Article 2500.
- Rosenberg, S. & Lawrence Livermore National Laboratory. (1980). An intelligent support system for energy resources in the United States (ED190149). ERIC. https://files.eric.ed.gov/fulltext/ED190149.pdf
- Sierra, M. D. C. S. (2007). Inteligencia artificial en la gestión financiera empresarial [Artificial intelligence in business financial management]. Pensamiento & Gestión [Thought & Management], 23, 153–186. https://media.proquest.com/media/pq/classic/doc/3081190751/fmt/pi/rep/NONE?_s=TEg6O3XROH3o9sAVlFN0%2BSulh5Q%3D
- Simon, H. A. (1978). On how to decide what to do. Bell Journal of Economics, 9(2), 494–507. https://doi:10.2307/3003595
- Ślażyńska-Kluczek, D. (2021). Artificial intelligence – legal regulations, place in the Polish banking sector. Economic Sciences, 34(5). https://doi.org/10.19251/ne/2021.34(5)
- Smith, L. C. (1976). Artificial intelligence in information retrieval systems. Information Processing and Management, 12(3), 189–222.
- Sommer, M., Olbrich, A., & Arendasy, M. (2004). Improvements in personnel selection with neural networks: A pilot study in the field of aviation psychology. International Journal of Aviation Psychology, 14(1), 103–115. https://doi:10.1207/s15327108ijap1401_6
- Stachowicz-Stanusc, A., & Amann, W. (2018). Artificial intelligence at universities in Poland. Organization & Management Quarterly, 42(2), 63–82. https://doi:10.29119/1899-6116.2018.42.6
- Syam, S. S., & Courtney, J. F. (1994). The case for research in decision support systems. European Journal of Operational Research, 73(3), 450–457. https://doi:10.1016/0377-2217(94)90238-0
- Szkatuła, G., Hołubiec, J., & Wagner, D. (2000). Forecasting voting behaviour using machine learning - Poland in transition. Annals of Operations Research, 97(1–4), 31–41. https://doi:10.1023/a:1018944728371
- Tan, K. H., & Lim, C. P. (2006). Special issue on intelligent systems in operations management. Intelligent Systems in Accounting, Finance & Management, 14(1/2), 1–2. https://doi:10.1002/isaf.270
- The Boston Consulting Group. (2018 June 20). Employees familiar with artificial intelligence both welcome and fear its presence [Press release]. https://www.globenewswire.com/en/news-release/2018/06/20/1527435/0/en/Employees-Familiar-with-AI-Both-Welcome-and-Fear-Its-Presence.html
- Te'eni, D., & Ginzberg, M. J. (1991). Human-computer decision systems: The multiple roles of DSS. European Journal of Operational Research, 50(2), 127–139. https://doi:10.1016/0377-2217(91)90236-O
- Tonge, F. M. (1960). Summary of a heuristic line balancing procedure. Management Science, 7(1), 21–42. https://doi:10.1287/mnsc.7.1.21
- Veaner, A. B. (1983). Technical services research needs for the 1990s. Library Resources and Technical Services, 27(2), 199–210.
- Wiig, K. W. (1986). AI--management's newest tool. Management Review, 75(8), 24.
- Winters, L. C. (1991). Artificial intelligence and expert systems in marketing. Marketing Research, 3(1), 72–74.
- Wong, H. K. T., & Mylopoulos, J. (1977). Two views of data semantics: A survey of data models in artificial intelligence and database management. INFOR, 15(3), 344–383. https://doi:10.1080/03155986.1977.11731681
- Wziątek-Staśko, A. (2021). Artificial intelligence is the creator of a new dimension of human capital management. In I. Mendryk (ed.) Human resources management in the new physical and social space (pp. 18–32). Difin.
- Xing, Y., Zheng, Z., Sun, Y., & Agha Alikhani, M. (2021). A review on machine learning application in biodiesel production studies. International Journal of Chemical Engineering, 2021, Article 2154258. https://doi:10.1155/2021/2154258
- Xu, Y., Pan, M., Huang, J., Zhou, W., Qiu, X., & Chen, Y. H. (2022). Estimation-based and dropout-dependent control design for aeroengine distributed control system with packet dropout. International Journal of Aerospace Engineering, 2022, Article 8658704. https://doi:10.1155/2022/8658704
- Yannakoudakis, E. J., & Fawthrop, D. (1983). An intelligent spelling error corrector. Information Processing and Management, 19(2), 101–108. https://doi.org/10.1016/0306-4573(83)90046-8
- Yau, N.-J., & Yang, J.-B. (1998). Case-based reasoning in construction management. Computer-Aided Civil & Infrastructure Engineering, 13(2), 143–150. https://doi.org/10.1111/0885-9507.00094
- Yazici, H., & Benjamin, C. (1994). AI-based generation of production engineering labor standards. IEEE Transactions on Engineering Management, 41(3), 302–309. https://doi:10.1109/17.310145
- Yu, Z., Liang, Z., & Xue, L. (2022). A data-driven global innovation system approach and the rise of China's artificial intelligence industry. Regional Studies, 56(4), 619–629. https://doi:10.1080/00343404.2021.1954610
- Yubo, C. (2021). Innovation of enterprise financial management based on machine learning and artificial intelligence technology. Journal of Intelligent & Fuzzy Systems, 40(4), 6767–6778. Httpa://doi:10.3233/JIFS-189510
- Zhao, Y., & Zhang, H. (2021). Application of machine learning and rule scheduling in a job-shop production control system. International Journal of Simulation Modelling (IJSIMM), 20(2), 410–421. https://doi:10.2507/IJSIMM20-2-CO10
- Zieliński, A. (2019). Artificial intelligence – development opportunities and threats. Telecommunications Review + Telecommunications News, 8, 734–739. https://doi:10.15199/59.2019.8.3