Drivers and Evolution Paths of BPMS: State-of-the-Art and Future Research Directions
Volume 33, Issue 2 (2022), pp. 399–420
Pub. online: 13 June 2022
Type: Research Article
Open Access
Open Access
Received
1 February 2022
1 February 2022
Accepted
1 May 2022
1 May 2022
Published
13 June 2022
13 June 2022
Abstract
The aim of the article is to identify drivers and limiters of the development of Business Process Management Systems (BPMS) from the point of view of the industry and the academia, and to formulate practical recommendations. Their identification is crucial in order to remove a considerable gap between the approach to knowledge-intensive business processes (kiBPs), which require dynamic management and are decisive with regard to the competitive position of the organization under the conditions of Industry 5.0, as well as the possibilities offered by ICT solution, and the current possibilities and needs of BPM practitioners. The authors applied a methodological approach based on a theoretical literature review and a review of practice through online structured expert interviews with key BPMS solution providers. According to the literature, the main drivers pertain to the enterprises’ efforts to reduce costs and improve their productivity and efficiency, develop technology, and enact changes in business models and business processes. According to vendors, the main drivers for the combination of BPMS and Case Management Systems (CMS) were the users’ expectations, technology identity, and further development perspectives. The main limiters of the decision to combine both classes of systems were technological problems predicted by vendors related to the unification of historically different technologies used in both classes of systems, as well as implementation-based problems related to the likely need to reconfigure the software environments of software users. The article formulated original recommendations for both vendors and users of iBPMS software, including the basic recommendation of the selection of the methodology of implementation of BPM and iBPMS in accordance with the context of the organization’s operations (the nature of its business processes).
References
Baumgrass, Botezatu M, A., Di Ciccio, C., Dijkman, R., Grefen, P., Hewelt, M., Mendling, J., Meyer, A., Pourmirza, S., Volzer, H. (2016). Towards a methodology for the engineering of event-driven process applications. In: Reichert, M., Reijers, H. (Eds.), Business Process Management Workshops, BPM 2016, Lecture Notes in Business Information Processing, Vol. 256. Springer, Cham, pp. 501–514.
Bazan, P., Estevez, E. (2022). Industry 4.0 and business process management: state of the art and new challenges. Business Process Management Journal, 28(1), 62–80. https://doi.org/10.1108/BPMJ-04-2020-0163.
Berniak-Woźny, J., Szelągowski, M. (2021). Business processes nature assessment matrix – a novel approach to the assessment of business process dynamism and knowledge intensity. Aslib Journal of Information Management, 74(2), 244–264. https://doi.org/10.1108/AJIM-04-2021-0110.
Bloomberg, J. (2019). Whatever happened to Business Process Management software? Forbes Media. Retrieved from: https://www.forbes.com/sites/jasonbloomberg/2019/01/15/whatever-happened-to-business-process-management-software/?sh=5d1524e572f7.
Bounfour, A. (2016). Digital Futures, Digital Transformation From Lean Production to Acceluction. Springer-Verlag, Cham. https://doi.org/10.1007/978-3-319-23279-9.
Chong, E., Handscomb, C., Williams, O., Hall, R., Rooney, M. (2020). Agile resilience in the UK: lessons from COVID-19 for the ‘next normal’. McKinsey & Company. Retrieved from: https://www.mckinsey.com/business-functions/people-and-organizational-performance/our-insights/agile-resilience-in-the-uk-lessons-from-covid-19-for-the-next-normal.
Engels, G., Strothmann, T., Teetz, A. (2018). Adapt cases 4 BPM – a modeling framework for process flexibility in IIoT. In: 2018 IEEE 22nd International Enterprise Distributed Object Computing Workshop (EDOCW), pp. 59–68. https://doi.org/10.1109/EDOCW.2018.00020.
Fiodorov, I., Sotnikov, A., Telnov, Y., Ochara, N.M. (2021). Improving business processes efficiency and quality by using BPMS. In: Proceedings of the 10th International Scientific and Practical Conference named after A.I. Kitov. https://doi.org/10.01.2022.
Gartner IT Glossary Gartner IT Glossary (2022). Dynamic Business Process Management. Retrieved from: http://www.gartner.com/it-glossary/dynamic-business-process-management-bpm [12.08.2018].
Gartner (2021a). The Gartner 2021 Predictions: Accelerate Results Beyond RPA to Hyperautomation. Published: 4 December 2020. Retrieved from: https://www.gartner.com/en/webinars/3991832/the-gartner-2021-predictions-accelerate-results-beyond-rpa-to-hy.
Gartner (2021b). Gartner Forecasts Worldwide IT Spending to Grow 6.2% in 2021. Retrieved from: https://www.gartner.com/en/newsroom/press-releases/2020-01-25-gartner-forecasts-worldwide-it-spending-to-grow-6-point-2-percent-in-2021.
Gartner (2022). Gartner Top Strategic Technology Trends in 2022. Gartner Inc. Retrieved from: https://www.gartner.com/en/information-technology/insights/top-technology-trends.
Gayialis, S.P., Papadopoulos, G.A., Ponis, S.T., Vassilakopoulou, P., Tatsiopoulos, I.P. (2015). Integrating process modeling and simulation with benchmarking using a business process management system for local government. In: 6th International Conference on Computer Modeling and Simulation (ICCMS 2015), February 12–13, 2015, Amsterdam, Netherlands.
Goldstein, A., Johanndeiter, T., Frank, U. (2019). Business process runtime models: towards bridging the gap between design, enactment, and evaluation of business processes. Information Systems and e-Business Management, 17, 27–64. https://doi.org/10.1007/s10257-018-0374-2.
Harmon, P., Garcia, J. (2020). A BPTrends Report: The state of Business Process Management 2020. Retrieved from: https://www.bptrends.com/bpt/wp-content/uploads/2020-BPM-Survey.pdf.
Hyun, Y.-G., Lee, J.-Y. (2018). Trends analysis and future direction of business process automation, RPA (robotic process automation) in the times of convergence. Journal of Digital Convergence, 16(11), 313–327. https://doi.org/10.14400/JDC.2018.16.11.313.
Klun, M., Trkman, P. (2018). Business process management – at the crossroads. Business Process Management Journal, 24(3), 786–813. https://doi.org/10.1108/BPMJ-11-2016-0226.
Kumar, V. (2021). Is it already time for Industry 5.0? Community by NASSCOM Insights. Retrieved from: https://community.nasscom.in/communities/industry-40/it-already-time-industry-50.
Lupeikiene, A., Dzemyda, G., Kiss, F., Caplinskas, A. (2014). Advanced planning and scheduling systems: modeling and implementation challenges. Informatica, 25(4), 581–616. https://doi.org/10.15388/Informatica.2014.31.
Malinova, M., Mendling, J. (2018). Identifying do’s and don’ts using the integrated business process management framework. Business Process Management Journal, 24(4), 882–899. https://doi.org/10.1108/BPMJ-10-2016-0214.
Martin, N., Fischer, D., Kerpedzhiev, G., Goel, K., Leemans, S.J.J., Röglinger, M., van der Aalst, W.M.P., Dumas, M., La Rosa, M., Wynn, M. (2021). Opportunities and challengers for process mining in organizations: results of a Delphi study. Business and Information Systems Engineering, 63(5), 511–527.
Mitchell, J., Guile, D. (2021). Fusion Skills and Industry 5.0: Conceptions and Challenges. IntechOpen. https://doi.org/10.5772/intechopen.100096.
Mendling, J., Pentland, B., Recker, J. (2020). Building a complementary agenda for business process management and digital innovation. European Journal of Information Systems, 29(3), 208–219. https://doi.org/10.1080/0960085X.2020.1755207.
Ozdemir, V., Hekim, N. (2018). Birth of Industry 5.0: making sense of big data with artificial intelligence, “The Internet of Things” and next-generation technology policy. Journal of Integrative Biology, 22(1), 65–76. https://doi.org/10.1089/omi.2017.0194.
Procesowcy (2020). Dojrzałość procesowa polskich organizacji. Podsumowanie IV edycji badania dojrzałości procesowej organizacji funkcjonujących w Polsce. Retrieved from: https://procesowcy.pl/portfolio-items/dojrzalosc-procesowa-polskich-organizacji-2020/?portfolioCats=19.
Pucher, M. (2010). The Difference between ACM and BPM. Retrieved from: https://acmisis.wordpress.com/2010/10/01/the-difference-between-acm-and-bpm/ [5.12.2021].
Ragin-Skorecka, K., Motala, D., Wojciechowski, H. (2021). Auxiliary management methods supporting process maturity: has the pandemic changed anything? European Research Studies Journal, XXIV(3), 811–821. https://doi.org/10.35808/ersj/2524.
Reijers, H. (2021). Business process management: the evolution of a discipline. Computers in Industry, 126, 103404. https://doi.org/10.1016/j.compind.2021.103404.
Roeglinger, M., Plattfaut, R., Borghoff, V., Kerpedzhiev, G., Becker, J., Beverungen, D., vom Brocke, J., Van Looy, A., del Rio Ortega, A., Rinderle-Ma, S., Rosemann, M., Santoro, F.M., Trkman, P. (2021). Exogenous Shocks and Business Process Management: A Scholars’ Perspective on Challenges and Opportunities (Research Note). University of Bayreuth. Retrieved from: https://www.researchgate.net/publication/357131774_Exogenous_Shocks_and_Business_Process_Management_A_Scholars’_Perspective_on_Challenges_and_Opportunities_Research_Note [19.01.2022].
Seymour, L., Koopman, A. (2021). Analysing factors impacting BPMS performance: a case of a challenged technology adoption. Software and Systems Modeling. https://doi.org/10.1007/s10270-021-00922-w.
Szelągowski, M. (2019). Dynamic BPM in the Knowledge Economy: Creating Value from Intellectual Capitl. Lecture Notes in Networks and Systems (LNNS), Vol. 71. Springer, Berlin/Heidelberg, Germany. https://doi.org/10.1007/978-3-030-17141-4.
Szelągowski, M. (2021). Practical assessment of the nature of business processes. Information Systems and e-Business Management, 19(2), 541–566. https://doi.org/10.1007/s10257-021-00501-y.
Szelągowski, M., Berniak-Woźny, J. (2022). The changing nature of the business processes in the knowledge economy – action research. Knowledge and Process Management, 29(2), 162–175. https://doi.org/10.1002/KPM.1709.
Szelągowski, M., Lupeikiene, A. (2020). Business process management systems: evolution and development trends. Informatica, 31(3), 579–595. https://doi.org/10.15388/20-INFOR429.
van der Aalst, W.M., La Rosa, M., Santoro, F.M. (2016). Don’t forget to improve the process! Business & Information Systems Engineering, 58(1), 1–6. https://doi.org/10.1007/s12599-015-0409-x.
vom Brocke, J., Baier, M., Schmiedel, T., Stelzl, K., Roeglinger, M., Wehking, C. (2021). Context-aware business process management: method assessment and selection. Business & Information Systems Engineering, 63, 533–550. https://doi.org/10.1007/s12599-021-00685-0.
Wright, I. (2018). What Is Industry 4.0, Anyway? Retrieved from: https://www.engineering.com/AdvancedManufacturing/ArticleID/16521/What-Is-Industry-40-Anyway.aspx. [2.12.2021].
Biographies
Szelągowski Marek
M. Szelągowski PhD, Eng. – is an associate professor, researcher at the Systems Research Institute, Polish Academy of Sciences. His current research interests range across (dynamic) business process management, adaptive case management and knowledge management and IT solutions supporting them.
Lupeikiene Audrone
A. Lupeikiene an associate professor, is a researcher at the Institute of Data Science and Digital Technologies of Vilnius University. Her main research interests include information systems, information systems engineering, knowledge and cyber-social systems.
Berniak-Woźny Justyna
J. Berniak-Woźny MBA degree at Oxford Brookes University and Polish Open University. PhD degree at Leeds Metropolitan University in the field of Corporate Social Responsibility. Author of many training and study programmes in traditional (f2f) and e-learning mode of delivery. Her current research interests range across business process management, corporate social responsibility, university social responsibility and business education for sustainability.
