Skip to main content
SpringerLink
Log in

The Functionalities of Cognitive Technology in Management Control System

  • Conference paper
  • First Online:
Intelligent Information and Database Systems (ACIIDS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12034))

Included in the following conference series:

Abstract

Cognitive technologies are an important factor accelerating the development of business and society. They are an artificial intelligence tool with cognitive skills enabling learning through empirical experience acquired through direct interaction with the environment. The application of these technologies in the management control system enriches it with the functions of automatic analysis of real data mapping business processes that are implemented at all levels of management. The aim of this paper is to analyze the functionalities of cognitive technology for the intelligent knowledge processing process by the management control system. To achieve this goal, the following research methods were used: literature analysis, observation of phenomena, deduction, and induction. The main results of researches are conclusions that cognitive technology should be used, among other, for realize following functions: automatic creation of a new strategic and operating budget plan, automatic real-time conversion of budgets in case of a change in the organizational structure of the enterprise, automatic deviations control, interpretation and identification the causes of deviations.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wildavsky, A.: Budgeting and Governing. Routledge, Abingdon (2017)

    Book  Google Scholar 

  2. Stilley, K.M., Inman, J.J., Wakefield, K.L.: Planning to make unplanned purchases? The role of in-store slack in budget deviation. J. Consum. Res. 37(2), 264–278 (2010)

    Article  Google Scholar 

  3. Hernes, M.: A cognitive integrated management support system for enterprises. In: Hwang, D., Jung, J.J., Nguyen, N.-T. (eds.) ICCCI 2014. LNCS (LNAI), vol. 8733, pp. 252–261. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11289-3_26

    Chapter  Google Scholar 

  4. https://www.panorama-consulting.com/what-does-our-2019-erp-report-reveal-about-the-erp-industry/. Accessed 12 Oct 2019

  5. Hernes, M., Bytniewski, A.: Knowledge representation of cognitive agents processing the economy events. In: Nguyen, N.T., Hoang, D.H., Hong, T.-P., Pham, H., Trawiński, B. (eds.) ACIIDS 2018. LNCS (LNAI), vol. 10751, pp. 392–401. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-75417-8_37

    Chapter  Google Scholar 

  6. Hernes, M., Bytniewski, A.: Knowledge integration in a manufacturing planning module of a cognitive integrated management information system. In: Nguyen, N.T., Papadopoulos, G.A., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds.) ICCCI 2017. LNCS (LNAI), vol. 10448, pp. 34–43. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67074-4_4

    Chapter  Google Scholar 

  7. Wu, D.D., Chen, S.H., Olson, D.: Business intelligence in risk management: some recent progresses. Inf. Sci. 256, 1–7 (2014)

    Article  Google Scholar 

  8. Velagapalli, V., Bommareddy, S.S.R., Premalatha, V.: Application of lean techniques, enterprise, resource planning and artificial intelligence in construction project management. In: International Conference on Advances in Civil Engineering (ICACE 2019), 21–23 March 2019. University Vijayawada, A.P., India, vol. 7 (2019). International Journal of Recent Technology and Engineering (IJRTE). ISSN 2277-3878

    Google Scholar 

  9. Ryan, J., Snyder, Ch.: Intelligent agents and information resource management. In: Proceedings of the Tenth Americas Conference on Information Systems, New York, pp. 4627–4630 (2004)

    Google Scholar 

  10. Gupta, J.N.D., Forgione, G.A., Mora T., M. (eds.): Intelligent Decision-Making Support Systems. Foundations, Applications and Challenges. Springer, London (2006). https://doi.org/10.1007/1-84628-231-4

    Book  Google Scholar 

  11. Ryfors, D., Wallin, M., Truve, T.: Swedish manufacturing SMEs readiness for Industry 4.0. What factors influence an implementation of Artificial Intelligence and how ready are manufacturing SMEs in Sweden? Jonkoping University (2019)

    Google Scholar 

  12. Martinez-Lopez, F.J., Casillas, J.: Artifical intelligence-based systems applied in industrial marketing: An historical overview, current and future insights. Ind. Mark. Manage. 42(4), 489–495 (2018)

    Article  Google Scholar 

  13. Rikhardson, P., Yigitbasioglu, O.: Business intelligence & analytics in management accounting research: status and future focus. Int. J. Acc. Inf. Syst. 29, 37–58 (2018)

    Article  Google Scholar 

  14. Zebec, A.: Cognitive BPM: Business Process Automation nad Innovation with Artificial Intelligence. http://ceur-ws.org/Vol-2420/paperDC1.pdf. Accessed 10 Nov 2019

  15. Gandon, F.: Distributed Artificial Intelligence and Knowledge Management: Ontologies and Multi Agent Systems for a Corporate Semantic Web, Universite Nice Sophia Antipolis, 2002 (tel-00378201). https://tel.archives-ouvertes.fr/tel-00378201. Accessed 10 Nov 2019

  16. Lee, M.C., Cheng, J.F.: Development multi-enterprise collaborative enterprise intelligent decision support system. J. Converg. Inf. Technol. 2(2), 64 (2007)

    Google Scholar 

  17. Kishore, R., Zhang, H., Ramesh, R.: Enterprise integration using the agent paradigm: foundations of multi-agent-based integrative business information systems. Decis. Support Syst. 42(1), 48–78 (2006)

    Article  Google Scholar 

  18. Roland Berger Trend Compedium 2030, Megatrend 5 Dynamic technology & innovation (2017)

    Google Scholar 

  19. Bytniewski, A. (ed.): An Architecture of Integrated Management System. Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu, Wrocław (2015). (in Polish)

    Google Scholar 

  20. Chojnacka-Komorowska, A., Hernes, M.: Knowledge representation in controlling sub-system. In: Ganzha, M., Maciaszek, L., Paprzycki, M. (eds.) Position Papers of the 2015 Federated Conference on Computer Science and Information Systems, vol. 6, pp. 187–193. Polskie Towarzystwo Informatyczne (2015)

    Google Scholar 

  21. Goertzel, B.: OpenCogBot – achieving generally intelligent virtual agent control and humanoid robotics via cognitive synergy. In: Proceedings of ICAI 2010, Beijing (2010)

    Google Scholar 

  22. Kollmann, S., Siafara, L.C., Schaat, S., Wendt, A.: Towards a cognitive multi-agent system for building control. Procedia Comput. Sci. 88, 191–197 (2016)

    Article  Google Scholar 

  23. Snaider, J., McCall, R., Franklin, S.: The LIDA framework as a general tool for AGI. In: The Fourth Conference on Artificial General Intelligence (2011)

    Google Scholar 

  24. Lasota, T., Telec, Z., Trawiński, B., Trawiński, K.: a multi-agent system to assist with real estate appraisals using bagging ensembles. In: Nguyen, N.T., Kowalczyk, R., Chen, S.-M. (eds.) ICCCI 2009. LNCS (LNAI), vol. 5796, pp. 813–824. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-04441-0_71

    Chapter  Google Scholar 

  25. Deloitte: Technology, Media & Telecommunications Predictions 2016 (2016). https://www2.deloitte.com/content/dam/Deloitte/au/Documents/technology-media-telecommunications/deloitte-au-tmt-predictions-2016-report-050218.pdf

  26. http://www.insoftconsulting.pl/raport-idc-2014/. Accessed 15 Nov 2019

  27. Hernes, M., Bytniewski, A.: Towards big management. In: Król, D., Nguyen, N.T., Shirai, K. (eds.) ACIIDS 2017. SCI, vol. 710, pp. 197–209. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-56660-3_18

    Chapter  Google Scholar 

  28. Park, N.: Secure UHF/HF dual-band RFID: strategic framework approaches and application solutions. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds.) ICCCI 2011. LNCS (LNAI), vol. 6922, pp. 488–496. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-23935-9_48

    Chapter  Google Scholar 

  29. Hernes, M.: Performance evaluation of the customer relationship management agent’s in a cognitive integrated management support system. In: Nguyen, N.T. (ed.) Transactions on Computational Collective Intelligence XVIII. LNCS, vol. 9240, pp. 86–104. Springer, Heidelberg (2015). https://doi.org/10.1007/978-3-662-48145-5_5

    Chapter  Google Scholar 

  30. Nowosielski, K.: Performance improvement of controlling processes: results of theoretical and empirical researches. Przegląd Organizacji 5, 50–58 (2014)

    Article  Google Scholar 

Download references

Acknowledgment

“The project is financed by the Ministry of Science and Higher Education in Poland under the programme “Regional Initiative of Excellence” 2019–2022 project number 015/RID/2018/19 total funding amount 10 721 040,00 PLN”.

Author information

Authors and Affiliations

  1. Wroclaw University of Economics and Business, Wroclaw, Poland

    Andrzej Bytniewski, Kamal Matouk, Anna Chojnacka-Komorowska, Marcin Hernes, Adam Zawadzki & Agata Kozina

Authors
  1. Andrzej Bytniewski
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kamal Matouk
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Anna Chojnacka-Komorowska
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Marcin Hernes
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Adam Zawadzki
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Agata Kozina
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marcin Hernes .

Editor information

Editors and Affiliations

  1. Department of Applied Informatics, Wrocław University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  2. King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

    Kietikul Jearanaitanakij

  3. Faculty of Computer Science and Information, University Teknologi Malaysia, Kuala Lumpur, Malaysia

    Ali Selamat

  4. Department of Applied Informatics, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

  5. King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

    Suphamit Chittayasothorn

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Bytniewski, A., Matouk, K., Chojnacka-Komorowska, A., Hernes, M., Zawadzki, A., Kozina, A. (2020). The Functionalities of Cognitive Technology in Management Control System. In: Nguyen, N., Jearanaitanakij, K., Selamat, A., Trawiński, B., Chittayasothorn, S. (eds) Intelligent Information and Database Systems. ACIIDS 2020. Lecture Notes in Computer Science(), vol 12034. Springer, Cham. https://doi.org/10.1007/978-3-030-42058-1_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-42058-1_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-42057-4

  • Online ISBN: 978-3-030-42058-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation