Strategic modeling of enterprise business processes for successful digital transformation
Abstract
Purpose – the purpose of this study is to develop a methodology for modelling business processes based on the principles of process management and the use of modern information technology in order to improve the efficiency and quality of the enterprise.
Research methodology – in this work we applied the methodology of business process analysis and optimisation based on the decomposition principle proposed by the SADT methodology. Findings – the result of the study was the development of practical recommendations for enterprises seeking to improve the efficiency of their activities and adapt to rapidly changing market conditions. The proposed methodology of business process modeling allows organi- zations not only to standardize and optimize their processes, but also to respond flexibly to changes in the external environment and maintain competitiveness.
Research limitations – The study focuses primarily on SADT and IDEF0 methodologies, which may limit consideration of other potentially effective approaches to business process mode- ling. Future research may include a comparative analysis of different business process modeling methodologies to determine their relative effectiveness and applicability in different contexts.
Practical implications – overall, this study makes a significant contribution to the development of modern business process modeling methodology, providing practical tools and recommendations for organizations seeking to improve their performance and sustainability in a rapidly changing business environment.
Originality/Value – the novelty of this study lies in the development of an integrated methodology of business process modeling based on the principles of process management and modern information technologies. In contrast to earlier studies emphasizing individual aspects of process management or specific technologies, our study offers an integrated approach combining both managerial and technological elements.
Keyword : business process modeling, process management, information technology, enterprise efficiency, digitalization
How to Cite
Rustenova, E., Ibyzhanova, A., Akhmetzhanova, N., Talapbayeva, G., Yerniyazova, Z., & Aidaraliyeva, A. (2025). Strategic modeling of enterprise business processes for successful digital transformation. Business, Management and Economics Engineering, 23(1), 148–163. https://doi.org/10.3846/bmee.2025.21587
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Al-edenat, M., & Alhawamdeh, N. (2022). Reconsidering individuals’ competencies in business intelligence and business analytics toward process effectiveness: Mediation-moderation model. Business: Theory and Practice, 23(2), 239–251. https://doi.org/10.3846/btp.2022.16548
Amit, R., & Zott, C. (2001). Value creation in e‐business. Strategic Management Journal, 22(6–7), 493–520. https://doi.org/10.1002/smj.187
Andreassen, T. W., Lervik-Olsen, L., Snyder, H., Van Riel, A. C. R., Sweeney, J. C., & Van Vaerenbergh, Y. (2018). Business model innovation and value-creation: The triadic way. Journal of Service Management, 29(5), 883–906. https://doi.org/10.1108/JOSM-05-2018-0125
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Chasin F., Paukstadt, U., Gollhardt, T., & Becker, J. (2020). Smart energy driven business model innovation: An analysis of existing business models and implications for business model change in the energy sector. Journal of Cleaner Production, 269, Article 122083. https://doi.org/10.1016/j.jclepro.2020.122083
Chesbrough, H., & Rosenbloom, R. S. (2002). The role of the business model in capturing value from innovation: Evidence from Xerox corporation’s technology spin‐off companies. Industrial and Corporate Change, 11(3), 529–555. https://doi.org/10.1093/icc/11.3.529
Collier, Z. A., Gaskins, A., & Lambert, J. H. (2022). Business process modeling for semiconductor production risk analysis using IDEF0. IEEE Engineering Management Review, 51(1), 183–188. https://doi.org/10.1109/EMR.2022.3230374
Durugbo, C., Tiwari, A., & Alcock, J. R. (2010). A review of information flow diagrammatic models for product–service systems. The International Journal of Advanced Manufacturing Technology, 52, 1193–1208. https://doi.org/10.1007/s00170-010-2765-5
Essen, A., Frishammar, J., & Cenamor, J. (2023). Entering non-platformized sectors: The co-evolution of legitimacy debates and platform business models in digital health care. Technovation, 121, Article 102597. https://doi.org/10.1016/j.technovation.2022.102597
Fetais, A., Abdella, G. M., Al-Khalifa, K. N., & Hamouda, A. M. (2022). Business process re-engineering: A literature review-based analysis of implementation measures. Information, 13(4), Article 185. https://doi.org/10.3390/info13040185
Frobisher, P. (2021). A strategic model of innovation. International Journal of Systematic Innovation, 6(3), 19–29.
Galbraith, J. R., & Lavin, M. L. (1970). Information processing as a function of task predictability and interdependence (Working Paper). Massachusetts Institute of Technology.
Hammer, M., & Champy, J. (1993). Reengineering the corporation: A manifesto for business revolution. Business Horizons, 36(5), 90–91. https://doi.org/10.1016/S0007-6813(05)80064-3
Harrington, J. H. (1997). The fallacy of universal best practices. The TQM Magazine, 9(1), 61–75. https://doi.org/10.1108/09544789710159461
Heider, A., Gerken, M., van Dinther, N., & Hülsbeck, M. (2021). Business model innovation through dynamic capabilities in small and medium enterprises – Evidence from the German Mittelstand. Journal of Business Research, 130, 635–645. https://doi.org/10.1016/j.jbusres.2020.04.051
Ibyzhаnova, A., Rustenova, E., Sultanova, Z., Talapbayeva, G., & Yerniyazova, Z. (2023). Evaluation of the effectiveness of government support for technology entrepreneurship. Eastern-European Journal of Enterprise Technologies, 5(13), 36–46. https://doi.org/10.15587/1729-4061.2023.286390
Ittner, C. D., & Larcker, D. F. (1997). The performance effects of process management techniques. Management Science, 43(4), 522–534. https://doi.org/10.1287/mnsc.43.4.522
IEEE. (1998). Standard for functional modeling language – Syntax and semantics for IDEF0 (IEEE Standard No. 1320.1-1998). https://ieeexplore.ieee.org/document/749110
Johnson, M. W., Christensen, C. M., & Kagermann, H. (2008). Reinventing your business model. Harvard Business Review, 86(12), 50–59.
Klein, S. P., Spieth, P., & Heidenreich, S. (2021). Facilitating business model innovation: The influence of sustainability and the mediating role of strategic orientations. Journal of Product Innovation Management, 38(2), 271–288. https://doi.org/10.1111/jpim.12563
Lazarević, D., Dobrodolac, M., Švadlenka, L., & Stanivuković, B. (2020). A model for business performance improvement: A case of the postal company. Journal of Business Economics and Management, 21(2), 564–592. https://doi.org/10.3846/jbem.2020.12193
Morgan, D. E., & Stilwell, G. H. (1983). Information needs and system specifications for the B-1B executive information system. [Master thesis, USA].
Mohammad, M. M., & Elaheh, M. (2014). The effect of business process re-engineering factors on organizational agility using path analysis: Case study of ports & maritime organization in Iran. Asian Economic and Financial Review, 4(12), 1849–1864.
Muftigaliyeva, A., Kuangaliyeva, T., Ibyzhanova, A., Mirzageldy, K., Kaigorodzev, A., Baigabulova, K., & Sargaeva, N. (2016). Innovative approaches in the development of Kazakhstan railway industry. Journal of Advanced Research in Law and Economics, 7(4), 851–861. https://journals.aserspublishing.eu/jarle/article/view/161
Ochara, N. M., Nawa, E.-L., Fiodorov, I., Lebedev, S., Sotnikov, A., & Telnovl, Y. (2018, October 3–5). Digital transformation of enterprises: A transition using process modelling antecedents. In Proceedings of 2018 Open Innovations Conference (pp. 325–331). Johannesburg, South Africa. IEEE. https://doi.org/10.1109/OI.2018.8535735
Osterwalder, A., Pigneur, Y., & Tucci, C. L. (2005). Clarifying business models: Origins, present, and future of the concept. Communications of the Association for Information Systems, 16(1), 1–25. https://doi.org/10.17705/1CAIS.01601
Panchenko, V., Ivanova, R., Viunyk, O., Androshchuk, I., & Guk, O. (2022). Forming a methodological approach to the management system of innovative activities at enterprises in conditions of economic development. Journal of Business Economics and Management, 23(5), 1155–1169. https://doi.org/10.3846/jbem.2022.17804
Pinheiro de Lima, E., Gouvea da Costa, S. E., Angelis, J. J., & Munik, J. (2012). Performance measurement systems: A consensual analysis of their roles. International Journal of Production Economics, 146(2), 524–542. https://doi.org/10.1016/j.ijpe.2012.05.007
Popova, V., & Sharpanskykh, A. (2010). Modeling organizational performance indicators. Information Systems, 35(4), 505–527. https://doi.org/10.1016/j.is.2009.12.001
Randhawa, K., Wilden, R., & Gudergan, S. (2021). How to innovate toward an ambidextrous business model? The role of dynamic capabilities and market orientation. Journal of Business Research, 130, 618–634. https://doi.org/10.1016/j.jbusres.2020.05.046
Recker, J., Rosemann, M., Indulska, M., & Green, P. (2009). Business process modeling – A comparative analysis. Journal of the Association for Information Systems, 10(4), 333–363. https://doi.org/10.17705/1jais.00193
Reijers, H. A., & Liman Mansar, S. (2005). Best practices in business process redesign: An overview and qualitative evaluation of successful redesign heuristics. Omega, 33(4), 283–306. https://doi.org/10.1016/j.omega.2004.04.012
Reuter, M. (1998). “Proze ßorientierung” ist kein Wundermittel Informationsdienst Wissenschaft [“Process orientation” is not a miracle cure]. https://idw-online.de/de/news8346
Ringim, K. J., Razalli, M. R., & Hasnan, N. (2012). The moderating effect of IT capability on the relationship between business reengineering factors and organizational performance of banks. Journal of Internet Banking and Commerce, 17(2), 1–21.
Ross, D. T. (1977). Structured analysis (SA): A language for communicating ideas. IEEE Transactions on Software Engineering, SE-3(1), 16–34. https://doi.org/10.1109/TSE.1977.229900
Scheer, A. V. (2016). Business processes: Basic concepts, theories, methods. Enlightener.
Simonyan, T., Shvydenko, N., & Guskov, A. (2023). Innovative business models of agro-industrial enterprises as a factor in ensuring sustainable development of the region. In A. Beskopylny, M. Shamtsyan, & Artiukh, V. (Eds.), Lecture notes in networks and systems: Vol. 575. XV International Scientific Conference “INTERAGROMASH 2022” (pp. 1572–1580). Springer. https://doi.org/10.1007/978-3-031-21219-2_175
Sjödin, D., Parida, V., Jovanovic, M., & Visnjic, I. (2020). Value creation and value capture alignment in business model innovation: A process view on outcome-based business models. Journal of Product Innovation Management, 37(2), 158–183. https://doi.org/10.1111/jpim.12516
Song, M., & van der Aalst, W. M. P. (2008). Towards comprehensive support for organizational mining. Decision Support Systems, 46(1), 300–317. https://doi.org/10.1016/j.dss.2008.07.002
Sun, Y., Gong, Y., Zhang, Y., Jia, F., & Shi, Y. (2021). User-driven supply chain business model innovation: The role of dynamic capabilities. Corporate Social Responsibility and Environmental Management, 28(4), 1157–1170. https://doi.org/10.1002/csr.2128
Sungau, J., & Msanjila, S. S. (2012). On IT enabling of business process reengineering in organizations. In Advanced materials research (Vols. 404–408, pp. 5177–5181). Trans Tech Publications. https://doi.org/10.4028/www.scientific.net/AMR.403-408.5177
Sylkin, O., Kryshtanovych, M., Zachepa, A., Bilous, S., & Krasko, A. (2019). Modeling the process of applying anticrisis management in the system of ensuring financial security of the enterprise. Business: Theory and Practice, 20, 446–455. https://doi.org/10.3846/btp.2019.41
Terziovski, M., Fitzpatrick, P., & O’Neill, P. (2003). Successful predictors of business process reengineering (BPR) in financial services. International Journal of Production Economics, 84(1), 35–50. https://doi.org/10.1016/S0925-5273(02)00378-X
Timmers, P. (1998.) Business models for electronic markets. Electronic Markets, 8(2), 3–8.
Trabelsi, F. Z., Khtira, A., & El Asri, B. (2023). Employing data and process mining techniques for redundancy detection and analystics in business processes. Ingénierie des Systèmes d’Information, 28(5), 1409–1421. https://doi.org/10.18280/isi.280529
Trischler, M. F. G., & Li-Ying, J. (2023). Digital business model innovation: Toward construct clarity and future research directions. Review of Managerial Science, 17(1), 3–32. https://doi.org/10.1007/s11846-021-00508-2
Tserng, H.-P., Cho, I.-C., Chen, C.-H., & Liu, Y.-F. (2021). Developing a risk management process for infrastructure projects using IDEF0. Sustainability, 13(12), Article 6958. https://doi.org/10.3390/su13126958
Tykkyläinen, S., & Ritala, P. (2021). Business model innovation in social enterprises: An activity system perspective. Journal of Business Research, 125, 684–697. https://doi.org/10.1016/j.jbusres.2020.01.045
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