Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Adapting to the Dynamic Nature of Business Processes in the Digital Age

  • Conference paper
  • First Online:
Business Process Management: Blockchain, Robotic Process Automation, Central and Eastern European, Educators and Industry Forum (BPM 2024)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 527))

Included in the following conference series:

  • 316 Accesses

Abstract

Every organization’s changing and increasingly complex environment poses increasingly serious challenges for BPM. Many processes are difficult to design, which reduces the chance of their predictability. Investigating the nature of processes and increasing efforts to support unstructured and knowledge-intensive processes becomes necessary. Therefore, the paper aims to explore the intricate nature and diversity of business processes in a multifaceted way, recognizing their dynamic adaptation to the evolving economic landscape. This study utilizes established classifications in order to categorize processes into four types: structured, structured with ad hoc exceptions, unstructured with pre-defined fragments, and completely unstructured. It takes a survey-based opinion research approach, employing CAWI for data collection, and utilizes statistical analysis. The analysis reveals that traditional, structured processes still constitute a substantial portion of organizational processes. Nevertheless, unstructured processes and unstructured processes with pre-defined fragments are gaining increasing relevance. The study also identifies significant correlations between the implementation of IT tools and the prevalence of unstructured processes. The research results can serve as a crucial knowledge resource for managers implementing and using BPM and software suppliers developing IT tools supporting BPM.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 79.99
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

Similar content being viewed by others

References

  1. Antunes, P., Piono, A.J., Nkhoma, M., Thuan, N.H.: The composite approach as a hybrid approach to business process modeling: proposition and empirical evaluation. Bus. Process Manag. J. ahead-of-print (2023). https://doi.org/10.1108/BPMJ-11-2022-0569

  2. APQC (n.d.), Process Classification Framework. https://www.apqc.org/process-frameworks. Accessed 30 Oct 2023

  3. Auksztol, J., Chomuszko, M.: Model APQC – Uniwersalny Model Klasyfikacji Procesów (APQC Model – Universal Process Classification Model), In Auksztol, J., Chomuszko, M. (Eds.) Modelowanie organizacji procesowej (Modeling of process organization), pp. 73–90 (2013). Wydawnictwo Naukowe PWN, Warszawa

    Google Scholar 

  4. Bahrs, J., Müller, C.: Modelling and analysis of knowledge intensive business processes. In: Althoff, K.-D. et al. (eds.) Professional Knowledge Management, pp. 243–247 Springer, Berlin, Heidelberg (2005). https://doi.org/10.1007/11590019_28

  5. Becker, J., vom Brocke, J., Heddier, M., Seidel, S, S.: In search of information systems (grand) challenges. Bus. Inf. Syst. Eng. 57(6), 377–390 (2015). https://doi.org/10.1007/s12599-015-0394-0

    Article  Google Scholar 

  6. Beh, E.J., Lombardo, R.: Correspondence Analysis: Theory, Practice and New Strategies (2014). https://doi.org/10.1002/9781118762875

  7. Berger, S., Denner, M.S., Röglinger, M.: The Nature of Digital Technologies – Development of a Multi-layer Taxonomy (2018)

    Google Scholar 

  8. Berniak-Woźny, J., Szelągowski, M.: Towards the assessment of business process knowledge intensity – a systematic literature review. Bus. Process. Manag. J. 28(1), 40–61 (2021). https://doi.org/10.1108/BPMJ-01-2021-0012

    Article  Google Scholar 

  9. Beverungen, D., Buijs, J.C.A.M., Becker, J., Di Ciccio, C., van der Aalst, W.M.P.: Seven paradoxes of business process management in a hyper-connected world. Bus. Inf. Syst. Eng. 63(2), 145–156 (2021). https://doi.org/10.1007/s12599-020-00646-z

    Article  Google Scholar 

  10. vom Brocke, J., Baier, M.S., Schiedel, T., Stelzl, K., Röglinger, M., Wehking, C.: Context-aware business process management. Bus. Inf. Syst. Eng. 63(5), 533–550 (2021). https://doi.org/10.1007/s12599-021-00685-0

    Article  Google Scholar 

  11. Dalmaris, P., Tsui, E., Hall, B., Smith, B.: A framework for the improvement of knowledge-intensive business processes. Bus. Process. Manag. J. 13(2), 279–305 (2007). https://doi.org/10.1108/14637150710740509

    Article  Google Scholar 

  12. Denner, M.S., Röglinger, M., Schmiedel, T., Stelzl, K., Wehking, C.: How context-aware are extant BPM methods? - development of an assessment scheme. In: Weske, M. et al. (eds.) Business Process Management, pp. 480–495 Springer International Publishing, Cham (2018). https://doi.org/10.1007/978-3-319-98648-7_28

  13. Di Ciccio, C., Marrella, A., Russo, A.: Knowledge-intensive processes: characteristics, requirements and analysis of contemporary approaches. J. Data Semant. 4(1), 29–57 (2015). https://doi.org/10.1007/s13740-014-0038-4

    Article  Google Scholar 

  14. Goni, J.I.C., Van Looy, A.: Process innovation capability in less-structured business processes: a systematic literature review. Bus. Process. Manag. J. 28(3), 557–584 (2022). https://doi.org/10.1108/BPMJ-07-2021-0487

    Article  Google Scholar 

  15. Grisold, T., Groß, S., Stelzl, K., Mendling, J., Röglinger, M., Rosemann, M.: The five diamond method for explorative business process management. Bus. Inf. Syst. Eng. 64(2), 149–166 (2022). https://doi.org/10.1007/s12599-021-00703-1

    Article  Google Scholar 

  16. Gronau, N., Weber, E.: Management of knowledge intensive business processes. In: Desel, J. et al. (eds.) Business Process Management, pp. 163–178 Springer, Berlin, Heidelberg (2004). https://doi.org/10.1007/978-3-540-25970-1_11

  17. Işik, Ö., Jones, M.C., Sidorova, A.: Practices of knowledge intensive process management: quantitative insights. Bus. Process. Manag. J. 19(3), 515–534 (2013). https://doi.org/10.1108/14637151311319932

    Article  Google Scholar 

  18. Kagerbauer, M., Manz, W., Zumkeller, D.: Analysis of PAPI, CATI, and CAWI methods for a multiday household travel survey. In: Zmud, J., Lee-Gosselin, M., Munizaga, M., Carrasco, J.A. (Ed.) Transport Survey Methods, Emerald Group Publishing Limited, Leeds, pp. 289–304 (2013). https://doi.org/10.1108/9781781902882-015

  19. Kemsley, S.: The changing nature of work: from structured to unstructured, from controlled to social. In: Rinderle-Ma, S. et al. (eds.) Business Process Management, p. 2 Springer, Berlin, Heidelberg (2011). https://doi.org/10.1007/978-3-642-23059-2_2

  20. Kregel, I., Koch, J., Plattfaut, R.: Beyond the hype: robotic process automation’s public perception over time. J. Organ. Comput. Electron. Commer. 31(2), 130–150 (2021). https://doi.org/10.1080/10919392.2021.1911586

    Article  Google Scholar 

  21. Legner, C., et al.: Digitalization: opportunity and challenge for the business and information systems engineering community. Bus. Inf. Syst. Eng. 59(4), 301–308 (2017). https://doi.org/10.1007/s12599-017-0484-2

    Article  Google Scholar 

  22. Li, J., Sun, W., Jiang, W., Zhang, L.: How the nature of exogenous shocks and crises impact company performance?: the effects of industry characteristics. IJRCM 6(4), 40–55 (2017). https://doi.org/10.4018/IJRCM.2017100103

    Article  Google Scholar 

  23. Marjanovic, O.: A novel mechanism for business analytics value creation: improvement of knowledge-intensive business processes. J. Knowl. Manag. 26(1), 17–44 (2021). https://doi.org/10.1108/JKM-09-2020-0669

    Article  Google Scholar 

  24. Marjanovic, O., Freeze, R.: Knowledge intensive business processes: theoretical foundations and research challenges. In: 2011 44th Hawaii International Conference on System Sciences, pp. 1–10 (2011). https://doi.org/10.1109/HICSS.2011.271

  25. Marjanovic, O., Freeze, R.: Knowledge-intensive business process: deriving a sustainable competitive advantage through business process management and knowledge management integration. Knowl. Process. Manag. 19(4), 180–188 (2012). https://doi.org/10.1002/kpm.1397

    Article  Google Scholar 

  26. Martín-Navarro, A., Lechuga Sancho, M., Medina-Garrido, J.: Determinants of BPMS use for knowledge management. J. Knowl. Manag. ahead-of-print, (2023). https://doi.org/10.1108/JKM-07-2022-0537

  27. McCormack, K., et al.: A global investigation of key turning points in business process maturity. Bus. Process. Manag. J. 15(5), 792–815 (2009). https://doi.org/10.1108/14637150910987946

    Article  Google Scholar 

  28. Olding, E., Rozwell, C.: Expand your bpm horizons by exploring unstructured processes. Gartner Technical Report G00172387, Published: 10 December 2009, Refreshed: 22 May 2015

    Google Scholar 

  29. Papavassiliou, G., Mentzas, G.: Knowledge modelling in weakly-structured business processes. J. Knowl. Manag. 7(2), 18–33 (2003). https://doi.org/10.1108/13673270310477261

    Article  Google Scholar 

  30. Pesic, M., Schonenberg, H., van der Aalst, W.M.P.: DECLARE: full support for loosely-structured processes. In: 11th IEEE International Enterprise Distributed Object Computing Conference (EDOC 2007), p. 287 (2007). https://doi.org/10.1109/EDOC.2007.14

  31. Röglinger, M., et al.: Exogenous shocks and business process management. Bus. Inf. Syst. Eng. 64(5), 669–687 (2022). https://doi.org/10.1007/s12599-021-00740-w

    Article  Google Scholar 

  32. Rosemann, M., Recker, J., Flender, C.: Contextualisation of business processes. Int. J. Bus. Process. Integr. Manag. 3(1), 47–60 (2008). https://doi.org/10.1504/IJBPIM.2008.019347

    Article  Google Scholar 

  33. Sarnikar, S., Deokar, A.V.: A design approach for process-based knowledge management systems. J. Knowl. Manag. 21(4), 693–717 (2017). https://doi.org/10.1108/JKM-09-2016-0376

    Article  Google Scholar 

  34. Seethamraju, R., Marjanovic, O.: Role of process knowledge in business process improvement methodology: a case study. Bus. Process. Manag. J. 15(6), 920–936 (2009). https://doi.org/10.1108/14637150911003784

    Article  Google Scholar 

  35. Szelągowski, M.: The knowledge and process dimensions. VINE J. Inf. Knowl. Manag. Syst. 51(2), 271–287 (2020). https://doi.org/10.1108/VJIKMS-09-2019-0150

    Article  Google Scholar 

  36. Szelągowski, M., Berniak-Woźny, J.: The knowledge and process continuum. Knowl. Process. Manag. 26(4), 308–320 (2019). https://doi.org/10.1002/kpm.1611

    Article  Google Scholar 

  37. Thomas, O., et al.: Global crises and the role of BISE. Bus. Inf. Syst. Eng. 62(4), 385–396 (2020). https://doi.org/10.1007/s12599-020-00657-w

    Article  Google Scholar 

  38. Van Der Aalst, W.M.P., Hinz, O., Weinhardt, C.: Impact of COVID-19 on BISE research and education. Bus. Inf. Syst. Eng. 62(6), 463–466 (2020). https://doi.org/10.1007/s12599-020-00666-9

    Article  Google Scholar 

  39. Van Der Aalst, W.M.P.: Hybrid Intelligence: to automate or not to automate, that is the question. IJISPM 9(2), 5–20 (2021). https://doi.org/10.12821/ijispm090201

  40. Van Der Aalst, W.M.P., Bichler, M., Heinzl, A.: Robotic process automation. Bus. Inf. Syst. Eng. 60(4), 269–272 (2018). https://doi.org/10.1007/s12599-018-0542-4

    Article  Google Scholar 

  41. Van Der Aalst, W.M.P.: Business process management: a comprehensive survey. Int. Schol. Res. Not. 2013, e507984 (2013). https://doi.org/10.1155/2013/507984

    Article  Google Scholar 

  42. Yang, C.G.: A study on the changes in the ICT industry after the COVID-19 pandemic. Ind. Manag. Data Syst. 123(1), 64–78 (2023). https://doi.org/10.1108/IMDS-03-2022-0165

    Article  Google Scholar 

  43. Zelt, S., Schmiedel, T., vom Brocke, J.: Understanding the nature of processes: an information-processing perspective. Bus. Process. Manag. J. 24(1), 67–88 (2018). https://doi.org/10.1108/BPMJ-05-2016-0102

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland

    Marek Szelągowski

  2. Institute of Economics of the Polish Academy of Sciences, Warsaw, Poland

    Natalia Potoczek

  3. Faculty of Management, University of Gdańsk, Sopot, Poland

    Piotr Sliż, Justyna Berniak-Woźny & Arkadiusz Kozłowski

  4. AGH University of Kraków, Kraków, Poland

    Aneta Napieraj & Marta Podobińska-Staniec

  5. Faculty of Economic Sciences, University of Warsaw, Warsaw, Poland

    Piotr Senkus

Authors
  1. Marek Szelągowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Natalia Potoczek
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Piotr Sliż
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Justyna Berniak-Woźny
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Aneta Napieraj
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Marta Podobińska-Staniec
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Arkadiusz Kozłowski
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Piotr Senkus
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marek Szelągowski .

Editor information

Editors and Affiliations

  1. Utrecht University, Utrecht, The Netherlands

    Claudio Di Ciccio

  2. University of Vienna, Vienna, Austria

    Walid Fdhila

  3. Sapienza University of Rome, Rome, Italy

    Simone Agostinelli

  4. University of Ottawa, Ottawa, ON, Canada

    Daniel Amyot

  5. Kühne Logistics University, Hamburg, Germany

    Henrik Leopold

  6. Masaryk University, Brno, Czech Republic

    Michal Krčál

  7. TU Wien, Vienna, Austria

    Monika Malinova Mandelburger

  8. University of Maribor, Maribor, Slovenia

    Gregor Polančič

  9. University of Zagreb, Varaždin, Croatia

    Katarina Tomičić-Pupek

  10. AGH University of Krakow, Kraków, Poland

    Katarzyna Gdowska

  11. University of St. Gallen, St. Gallen, Switzerland

    Thomas Grisold

  12. University of Gdańsk, Gdańsk, Poland

    Piotr Sliż

  13. Utrecht University, Utrecht, The Netherlands

    Iris Beerepoot

  14. University of Warsaw, Warsaw, Poland

    Renata Gabryelczyk

  15. University of Duisburg-Essen, Essen, Germany

    Ralf Plattfaut

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Szelągowski, M. et al. (2024). Adapting to the Dynamic Nature of Business Processes in the Digital Age. In: Di Ciccio, C., et al. Business Process Management: Blockchain, Robotic Process Automation, Central and Eastern European, Educators and Industry Forum. BPM 2024. Lecture Notes in Business Information Processing, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-031-70445-1_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-70445-1_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-70444-4

  • Online ISBN: 978-3-031-70445-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation