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2023 | nr 2 | 47-55
Tytuł artykułu

Artificial Intelligence - an agenda for management sciences

Warianty tytułu
Języki publikacji
Nowadays, the need for digitisation and digitalisation of enterprises, as well as the use of solutions based on Artificial Intelligence (AI), are coming to the fore. The use of intelligent systems in organisations is not a strictly technical issue, and is also important in the management of modern enterprises. The aim of this article is to provide a theoretical analysis of the phenomenon of Artificial Intelligence in management sciences by means of a systematic review of the literature using Scopus database records. Bibliographic analysis of Artificial Intelligence in management sciences in this article points to this topic as something relatively new in the case of management sciences, although rapidly developing. As part of the bibliographic analysis we propose an agenda regarding the issue of AI in management sciences, consisting of thematic clusters related to technologies based on and complementary to AI, the goals of using AI in organisations, human-AI relations and issues related to ethics and sustainable development(original abstract)
Opis fizyczny
  • Krakow University of Economics, Poland
  • Baumgartner, R. J., Rauter, R. (2016). Strategic perspectives of corporate sustainability management to develop a sustainable organization." Journal of Cleaner Production", 140(1), 81-92.
  • Bell, J. (2014). Machine learning: Hands-on for developers and technical professionals. John Wiley & Sons Inc.
  • Bombiak, E., Marciniuk-Kluska, A. (2018). Green human resource management as a tool for the sustainable development of enterprises: Polish young company experience. "Sustainability", 10(6).
  • Bramer, W. M., Rethlefsen, M., Kleijnen, J., Franco, O. H. (2017). Optimal database combinations for literature searches in systematic reviews: A prospective exploratory study. "Systematic Reviews", 6.
  • Canhoto, A. I., Clear, F. (2020). Artificial Intelligence and machine learning as business tools: A framework for diagnosing value destruction potential. "Business Horizons", 63(2), 183-193.
  • Castelli, M., Manzoni, L., Popovic, A. (2016). An Artificial Intelligence system to predict quality of service in banking organizations. Computational Intelligence and Neuroscience.
  • Dhingra, M., Jain, M., Jadon, R. S. (2016). Role of Artificial Intelligence in enterprise information security: a review. 2016 Fourth International Conference on Parallel, Distributed and Grid Computing (PDGC) (pp. 188-191). IEEE.
  • Eurostat. (2021). How many citizens had basic digital skills in 2021?
  • Furmanek, W. (2018). Najważniejsze idee czwartej rewolucji przemysłowej." Dydaktyka Informatyki", 13, 55-63.
  • GATF. (2021). Annual Report 2021. Global Alliance for Trade Facilitation.
  • Gärtner, B., Hiebl, M. (2018). Issues with Big Data. In M. Quinn, & E. Strauß (Eds.), The Routledge Companion to Accounting Information Systems (pp. 161-172). Routledge.
  • George, G., Haas, M. R., Pentland, A. (2014). Big Data and management. "Academy of Management Journal", 57(2), 321-326.
  • Goralski, M. A., Tan, T. K. (2020). Artificial Intelligence and sustainable development. "The International Journal of Management Education", 18(1), 100330.
  • Gupta, S., Modgil, S., Bhattacharyya, S., Bose, I. (2022) Artificial Intelligence for decision support systems in the field of operations research: review and future scope of research. "Artificial Intelligence in Operations Management", 308, 215-274.
  • Hoffman, R. (2016, June 14). Using Artificial Intelligence to set information free. MIT Sloan Management Review.
  • Jarosz, S., Gawlik, K., Gozdecki, K. (2022). Pozyskanie finansowania dla działalności przedsiębiorstw - analiza sektora energetycznego. "Management and Quality - Zarządzanie i Jakość", 4(2), 61-79.
  • Jarosz, S., Sołtysik, M., Zakrzewska, M. (2020). The Fourth Industrial Revolution in the light of social and competence changes." European Research Studies Journal", XXIII, Special Issue 1, 530-548.
  • Jerónimo, H. M., Henriques, P. L., Lacerda, T. C., de, Silva, F. P., da, Vieira, P. R. (2020). Going green and sustainable: The influence of green HR practices on the organizational rationale for sustainability. "Journal of Business Research", 112, 413-421.
  • Kosch, O., Szarucki, M. (2020). An overview of 25 years of European scientific collaboration in the field of strategic management: A bibliometric analysis. "European Management Review", 18, 51-69.
  • LeCun, Y. Bengio, Y., Hinton, G. (2015). Deep learning. "Nature", 521, 436-444.
  • Li, G., Hou, Y., Wu, A. (2017). Fourth Industrial Revolution: technological drivers, impacts and coping methods. "Chinese Geographical Science", 27(4), 626-637.
  • McAfee, A., Brynjolfsson, E. (2012). Big Data: The Management Revolution. "Harvard Business Review".
  • Mrówczyńska, M., Sztubecka, M., Skiba, M., Bazan-Krzywoszańska, A., Bejga, P. (2019). The use of Artificial Intelligence as a Tool Supporting Sustainable Development Local Policy. "Sustainability", 11(15), 4199.
  • Munappy, A., Bosch, J., Olsson, H. H., Arpteg, A., Brinne, B. (2019). Data management challenges for deep learning. 45th Euromicro Conference on Software Engineering and Advanced Applications (SEAA) (pp. 140-147). IEEE.
  • Paschek, D., Luminosu, C. T., Draghici, A. (2017). Automated business process management - in times of digital transformation using machine learning or artificial intelligence. MATEC Web of Conferences, 121, 04007.
  • Rainie, L., Funk, C., Anderson, M., Tyson, A. (2022, March 17). AI and human enhancement: Americans' openness tempered by a range of concerns. Pew Research Center.
  • Rathore, B. (2023). Digital Transformation 4.0: Integration of Artificial Intelligence & Metaverse in Marketing." Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal", 12(1), 42-48.
  • Schwab, K. (2016). The Fourth Industrial Revolution. World Economic Forum.
  • Sheng, J., Amankwah-Amoah, J., Wang, X. (2017). A multidisciplinary perspective of big data in management research. "International Journal of Production Economics", 191, 97-112.
  • Silver, D., Schrittwieser, J., Simonyan, K., Antonoglou, I., Huang, A., Guez, A., Hubert, T., Baker, L., Lai, M., Bolton, A., Chen, Y., Lillicrap, T., Hui, F., Sifre, L., van den Driessche, G., Graepel, T., Hassabis, D. (2017). Mastering the game of Go without human knowledge. "Nature", 550, 354-359.
  • Smith, G. M. (1977). Key Books in business and management studies: A bibliometric analysis. "ASLIB Proceedings", 29(5) 174-188.
  • Sołtysik, M., Zakrzewska, M., Jarosz, S. (2022). The Fourth Industrial Revolution. New technology adoption and trust. In J. Paliszkiewicz, J. L. Guerrero Cusumano, & J. Gołuchowski (Eds.), Trust, digital business and technology: Issues and challenges (pp. 73-83). Routledge.
  • Swan, M. (2015). Blockchain. Fundament nowej gospodarki. Helion.
  • TOP CDR - Digitally Responsible Company. (2019). Czy sztuczna inteligencja wygra z człowiekiem? Raport Programu Cyfrowej Odpowiedzialności Biznesu. Cyfrowa Odpowiedzialność Biznesu (2).pdf
  • Treat, D., Worley, A., Herzig, J. (2018). Powered by blockchain: realizing AI's full potential.
  • Velarde, G. (2021). Artificial Intelligence Trends and Future Scenarios: Relations Between Statistics and Opinions. 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI) (pp. 64-70). IEEE.
  • Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. M., Tegmark, M., & Nerini, F. F. (2020). The role of Artificial Intelligence in achieving the Sustainable Development Goals. "Nature Communications", 11(233).
  • Walsh, T. (2017). It's alive! Artificial Intelligence from the logic piano to killer robots. La Trobe University Press.
  • Wawak, S., Rogala, P., Dahlgaard-Park, S. M. (2020). Research trends in quality management in years 2000-2019. "International Journal of Quality and Service Sciences", 12(4), 417-433.
  • World Economic Forum. (2015). Deep Shift - Technology Tipping Points and Societal Impact. Global Agenda Council on the Future of Software and Society.
  • WIPO. (2019). WIPO Technology Trends 2019 - Artificial Intelligence. World Intellectual Property Organization.
  • Xiao, Y., Watson, M. (2017). Guidance on conducting a systematic literature review. "Journal of Planning Education and Research", 39(1), 93-112.
  • Xie, Y., Ji, L., Zhang, B., Huang, G. (2018). Evolution of the scientific literature on input-output analysis: A bibliometric analysis of 1990-2017. "Sustainability", 10(9), 3135.
  • Zakrzewska, M., Sołtysik, M., Jarosz, S., Kosała, M. (2022). W kierunku zrównoważonego zarządzania projektami. Kontekst IPMA Project Excellence Model. In J. Walas-Trębacz, T. Małkus (Eds.), Zarządzenie organizacjami w społeczeństwie informacyjnym. Strategie - Projekty - Procesy (pp. 271-278). TNOiK "Dom Organizatora".
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