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Simulation and Optimisation of Business Process Management: Case Study of IT Company

Open Access
|Sep 2024

References

  1. Biddle, J. E. (2020). Progress through regression: The life story of the empirical cobb-douglas production function. Cambridge, England: Cambridge University Press.
  2. Brumar, B. (2010). Modeling and simulation of economic processes. Studies and Scientific Researches - Economic Edition, (15). https://doi.org/10.29358/sceco.v0i15.135
  3. BusinessNews Publishing. (2014). Summary: The Nordstrom Way. Review and analysis of Spector and McCarthy’s book. Belgium: Business Book Summaries.
  4. Chueshov, I., & Schmalfuß, B. (2020). Synchronization in infinite-dimensional deterministic and stochastic systems. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-47091-3
  5. Dwivedi, R., Jaffar Karim, F., & Starešinić, B. (2021). Critical success factors of new product development: Evidence from select cases. Business Systems Research: International Journal of the Society for Advancing Innovation and Research in Economy, 12(1), 34-44. https://doi.org/10.2478/bsrj-2021-0003
  6. Goel, K., Bandara, W., & Gable, G. (2021). A typology of business process standardization strategies. Business & Information Systems Engineering, 63(6), 621-635. https://doi.org/10.1007/s12599-021-00693-0
  7. Guo, С., Sarkar, S., Zhu, J., & Wang, Y. J. (2020). R&D investment, business performance, and moderating role of Guanxi: Evidence from China. Industrial Marketing Management, 91, 55-63. https://doi.org/10.1016/j.indmarman.2020.08.014
  8. Ilmudeen, A. (2022). Leveraging it-enabled dynamic capabilities to shape business process agility and firm innovative capability: Moderating role of turbulent environment. Review of Managerial Science, 16(8), 2341-2379. https://doi.org/10.1007/s11846-021-00501-9
  9. Kajba, M., Jereb, B., & Gumzej, R. (2022). Business process reengineering - Process optimization of boutique production SME. Montenegrin Journal of Economics, 18(4), 117-140. https://doi.org/10.14254/1800-5845/2022.18-4.11
  10. Kimiaei, M., Neumaier, A., & Azmi, B. (2022). LMBOPT: A limited memory method for bound-constrained optimization. Mathematical Programming Computation, 14(2), 271-318. https://doi.org/10.1007/s12532-021-00213-x
  11. Kopei, V., Onysko, O., Barz, C., Dašić, P., & Panchuk, V. (2023). Designing a multi-agent PLM system for threaded connections using the principle of isomorphism of regularities of complex systems. Machines, 11(2), 263. https://doi.org/10.3390/machines11020263
  12. Lee, J., Lee, S., Kim, J., & Choi, I. (2019). Dynamic human resource selection for business process exceptions. Knowledge and Process Management, 26(1), 23-31. https://doi.org/10.1002/kpm.1591
  13. López-Pintado, O., García-Bañuelos, L., Dumas, M., Weber, I., & Ponomarev, A. (2019). Caterpillar: A business process execution engine on the Ethereum blockchain. Software: Practice and Experience, 49(7), 1162-1193. https://doi.org/10.1002/spe.2702
  14. Mahdiraji, H. A., Hafeez, K., & Hajiagha, S. H. (2020). Business process transformation in financial market: A hybrid BPM-ELECTRE TRI for redesigning a securities company in the Iranian stock market. Knowledge and Process Management, 27(3), 211–224. https://doi.org/10.1002/kpm.1632
  15. Munkhammar, J., & Widén, J. (2018). A Markov-chain probability distribution mixture approach to the clear-sky index. Solar Energy, 170, 174-183. https://doi.org/10.1016/j.solener.2018.05.055
  16. Palm, W. (2021). System dynamics (4th ed.). New York, United States: McGraw-Hill.
  17. Röglinger, M., Plattfaut, R., Borghoff, V., Kerpedzhiev, G., Becker, J., Beverungen, D., vom Brocke, J., Van Looy, A., del-Río-Ortega, A., Rinderle-Ma, S., Rosemann, M., Santoro, F. M., & Trkman, P. (2022). Exogenous shocks and business process management: а scholars’ perspective on challenges and opportunities. Business & Information Systems Engineering, 64(5), 669-687. https://doi.org/10.1007/s12599-021-00740-w
  18. Schweikl, S., & Obermaier, R. (2020). Lessons from three decades of IT productivity research: Towards a better understanding of IT-induced productivity effects. Management Review Quarterly, 70(4), 461-507. https://doi.org/10.1007/s11301-019-00173-6
  19. Shoukry, A., Khader, J., & Gani, S. (2021). Improving business process and functionality using IoT based E3-value business model. Electronic Markets, 31(1), 17-26. https://doi.org/10.1007/s12525-019-00344-z
  20. Sickles, R. C., & Zelenyuk, V. (2019). Measurement of Productivity and Efficiency: Theory and Practice. Cambridge, England: Cambridge University Press. https://doi.org/10.1017/9781139565981
  21. Slavec, A., & Burnard, M. (2023). Innovations in Business Process Digitalisation in the Forest-Wood Sector In Slovenia. ENTRENOVA-ENTerprise REsearch InNOVAtion, 9(1), 257-269. https://doi.org/10.54820/entrenova-2023-0024
  22. Soleymani, H. (2020). Theoretical approaches to the company’s management paradigm; pragmatic management structures. California, United States: Scholars’ Press.
  23. Stark, J. (2022). Product lifecycle management (Volume 1): 21st century paradigm for product realisation (5th ed.). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-98578-3
  24. State Statistical Service of Ukraine. (n.d.). Retrieved March 3, 2024 from https://www.ukrstat.gov.ua/
  25. Suša Vugec, D., Bosilj Vukšić, V., Pejić Bach, M., Jaklič, J., & Indihar Štemberger, M. (2020). Business intelligence and organizational performance: The role of alignment with business process management. Business process management journal, 26(6), 1709-1730. https://doi.org/10.1108/BPMJ-08-2019-0342
  26. Wang, J., Song, H., Tian, Z., Bei, J., Zhang, H., Ye, B., & Ni, J. (2021). A method for estimating output elasticity of input factors in Cobb-Douglas production function and measuring agricultural technological progress. IEEE Access, 9, 26234-26250. https://doi.org/10.1109/ACCESS.2021.3056719
  27. Webler, F. (2022). Measurement in the age of information. Information, 13(3), 111. https://doi.org/10.3390/info13030111
  28. Xing, L., Levitin, G., & Wang, C. (2019). Dynamic system reliability: Modelling and analysis of dynamic and dependent behaviors. Hoboken, United States: John Wiley & Sons Ltd. https://doi.org/10.1002/9781119507642
DOI: https://doi.org/10.2478/bsrj-2024-0004 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 67 - 90
Submitted on: Mar 8, 2024
Accepted on: May 29, 2024
Published on: Sep 26, 2024
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2024 Olena Serhiienko, Maryna Mashchenko, Borys Samorodov, Anatoliy Babichev, Olena Klimenko, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution 4.0 License.