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Advancing Business Process Science via the Co-evolution of Substantive and Methodological Knowledge

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Business Process Management (BPM 2022)

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Abstract

The International Conference on Business Process Management (BPM) is a conference series with some remarkable successes over the last 20 years. In this paper, we discuss how neighboring fields have made progress. A key observation is the co-evolution of the problem and solution spaces: methodological innovations yield substantive advancements and, in turn, substantive findings help to improve methods. We discuss implications of this observation for business process science.

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References

  1. van der Aalst, W.M.P.: Process mining: a 360 degree overview. In: van der Aalst, W.M.P., Carmona, J. (eds.) Process Mining Handbook. LNBIP, vol. 448, pp. 3–34. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-08848-3_1

  2. van der Aalst, W., et al.: Process mining Manifesto. In: Daniel, F., Barkaoui, K., Dustdar, S. (eds.) BPM 2011, Part I. LNBIP, vol. 99, pp. 169–194. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-28108-2_19

    Chapter  Google Scholar 

  3. Aalst, W.M.P.: A decade of business process management conferences: personal reflections on a develo** discipline. In: Barros, A., Gal, A., Kindler, E. (eds.) BPM 2012. LNCS, vol. 7481, pp. 1–16. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-32885-5_1

    Chapter  Google Scholar 

  4. Van der Aalst, W.M.: Business process management: a comprehensive survey. International Scholarly Research Notices 2013 (2013)

    Google Scholar 

  5. van der Aalst, W.M.: How to write beautiful process-and-data-science papers? ar**v preprint ar**v:2203.09286 (2022)

  6. Abbott, A.: A primer on sequence methods. Organ. Sci. 1(4), 375–392 (1990)

    Article  MathSciNet  Google Scholar 

  7. Aigner, W., Miksch, S., Schumann, H., Tominski, C.: Visualization of Time-Oriented Data, vol. 4. Springer, London (2011). https://doi.org/10.1007/978-0-85729-079-3

    Book  Google Scholar 

  8. Alter, S.: Work system theory: overview of core concepts, extensions, and challenges for the future. J. Assoc. Inf. Syst. 14, 72 (2013)

    Google Scholar 

  9. Augusto, A., et al.: Automated discovery of process models from event logs: review and benchmark. IEEE Trans. Knowl. Data Eng. 31(4), 686–705 (2019). https://doi.org/10.1109/TKDE.2018.2841877

    Article  Google Scholar 

  10. Augusto, A., Mendling, J., Vidgof, M., Wurm, B.: The connection between process complexity of event sequences and models discovered by process mining. Inf. Sci. 598, 196–215 (2022)

    Article  Google Scholar 

  11. Autor, D.H., Levy, F., Murnane, R.J.: The skill content of recent technological change: an empirical exploration. Q. J. Econ. 118(4), 1279–1333 (2003)

    Article  MATH  Google Scholar 

  12. Baker, C.F., Fillmore, C.J., Lowe, J.B.: The Berkeley FrameNet project. In: COLING 1998 Volume 1: The 17th International Conference on Computational Linguistics (1998)

    Google Scholar 

  13. Becker, M.C.: Organizational routines: a review of the literature. Ind. Corp. Change 13(4), 643–678 (2004)

    Article  Google Scholar 

  14. Berente, N., Seidel, S., Safadi, H.: Research commentary-data-driven computationally intensive theory development. Inf. Syst. Res. 30(1), 50–64 (2019)

    Article  Google Scholar 

  15. Bevilacqua, M., Pasini, T., Raganato, A., Navigli, R.: Recent trends in word sense disambiguation: a survey. In: International Joint Conference on Artificial Intelligence, pp. 4330–4338. International Joint Conference on Artificial Intelligence, Inc. (2021)

    Google Scholar 

  16. Beyer, L., Hénaff, O.J., Kolesnikov, A., Zhai, X., Oord, A.V.D.: Are we done with ImageNet? ar**v preprint ar**v:2006.07159 (2020)

  17. Borghans, L., Ter Weel, B.: The division of labour, worker organisation, and technological change. Econ. J. 116(509), F45–F72 (2006)

    Article  Google Scholar 

  18. vom Brocke, J., et al.: Process science: the interdisciplinary study of continuous change. Available at SSRN 3916817 (2021)

    Google Scholar 

  19. vom Brocke, J., Jans, M., Mendling, J., Reijers, H.A.: A five-level framework for research on process mining. Bus. Inf. Syst. Eng. 63(5), 483–490 (2021). https://doi.org/10.1007/s12599-021-00718-8

    Article  Google Scholar 

  20. Brynjolfsson, E., Mitchell, T.: What can machine learning do? Workforce implications. Science 358(6370), 1530–1534 (2017)

    Article  Google Scholar 

  21. Bunge, M.: Treatise on Basic Philosophy Volume 5 Epistemology and Methodology I: Exploring the World. D. Reidel Publishing Company, Netherlands (1983)

    Google Scholar 

  22. Campbell, D.J.: Task complexity: a review and analysis. Acad. Manage. Rev. 13(1), 40–52 (1988)

    Article  Google Scholar 

  23. Cayoglu, U., et al.: Report: the process model matching contest 2013. In: Lohmann, N., Song, M., Wohed, P. (eds.) BPM 2013. LNBIP, vol. 171, pp. 442–463. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06257-0_35

    Chapter  Google Scholar 

  24. Cloutier, C., Langley, A.: What makes a process theoretical contribution? Organ. Theory 1(1), 2631787720902473 (2020)

    Google Scholar 

  25. Cross, N.: The nature and nurture of design ability. Des. Stud. 11(3), 127–140 (1990)

    Article  Google Scholar 

  26. Cua, K.O., McKone, K.E., Schroeder, R.G.: Relationships between implementation of TQM, JIT, and TPM and manufacturing performance. J. Oper. Manage. 19(6), 675–694 (2001)

    Article  Google Scholar 

  27. Division, U.N.S.: International Standard industrial classification of all economic activities (ISIC). No. 4, United Nations Publications (2008)

    Google Scholar 

  28. Dorst, K., Cross, N.: Creativity in the design process: co-evolution of problem-solution. Des. Stud. 22(5), 425–437 (2001)

    Article  Google Scholar 

  29. Du, F., Shneiderman, B., Plaisant, C., Malik, S., Perer, A.: Co** with volume and variety in temporal event sequences: strategies for sharpening analytic focus. IEEE Trans. Visual. Comput. Graph. 23(6), 1636–1649 (2016)

    Article  Google Scholar 

  30. Dumas, M., Rosa, M.L., Mendling, J., Reijers, H.A.: Fundamentals of Business Process Management, 2nd edn. Springer, Heidelberg (2018). https://doi.org/10.1007/978-3-662-56509-4

    Book  Google Scholar 

  31. Feldman, M.S., Pentland, B.T.: Reconceptualizing organizational routines as a source of flexibility and change. Adm. Sci. Q. 48(1), 94–118 (2003)

    Article  Google Scholar 

  32. Fellbaum, C. (2010). WordNet. In: Poli, R., Healy, M., Kameas, A. (eds.) Theory and Applications of Ontology: Computer Applications, pp. 231–243. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-8847-5_10

  33. Fritz, M., Schiefer, G.: Tracking, tracing, and business process interests in food commodities: a multi-level decision complexity. Int. J. Prod. Econ. 117(2), 317–329 (2009)

    Article  Google Scholar 

  34. Grisold, T., Groß, S., Stelzl, K., vom Brocke, J., 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 

  35. Grisold, T., Wurm, B., Mendling, J., vom Brocke, J.: Using process mining to support theorizing about change in organizations. In: 53rd Hawaii International Conference on System Sciences, HICSS 2020, Maui, Hawaii, USA, 7–10 January 2020, pp. 1–10. ScholarSpace (2020). https://hdl.handle.net/10125/64417

  36. Guindon, R.: Designing the design process: exploiting opportunistic thoughts. Hum. Comput. Interact. 5(2–3), 305–344 (1990)

    Article  Google Scholar 

  37. Guo, Y., Guo, S., **, Z., Kaul, S., Gotz, D., Cao, N.: A survey on visual analysis of event sequence data. IEEE Trans. Vis. Comput. Graph. (2021). https://doi.org/10.1109/TVCG.2021.3100413

  38. Gurevych, I., Eckle-Kohler, J., Hartmann, S., Matuschek, M., Meyer, C.M., Wirth, C.: UBY-a large-scale unified lexical-semantic resource based on LMF. In: Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics, pp. 580–590 (2012)

    Google Scholar 

  39. Hærem, T., Pentland, B.T., Miller, K.D.: Task complexity: extending a core concept. Acad. Manage. Rev. 40(3), 446–460 (2015)

    Article  Google Scholar 

  40. Hansson, S.O. (ed.): The Role of Technology in Science: Philosophical Perspectives. PET, vol. 18. Springer, Dordrecht (2015). https://doi.org/10.1007/978-94-017-9762-7

    Book  Google Scholar 

  41. ter Hofstede, A.H., Proper, H.A.: How to formalize it? Formalization principles for information system development methods. Inf. Softw. Technol. 40(10), 519–540 (1998)

    Google Scholar 

  42. Kettinger, W.J., Teng, J.T., Guha, S.: Business process change: a study of methodologies, techniques, and tools. MIS Q. 21, 55–80 (1997)

    Article  Google Scholar 

  43. Kunze, M., Luebbe, A., Weidlich, M., Weske, M.: Towards understanding process modeling – the case of the bpm academic initiative. In: Dijkman, R., Hofstetter, J., Koehler, J. (eds.) BPMN 2011. LNBIP, vol. 95, pp. 44–58. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-25160-3_4

    Chapter  Google Scholar 

  44. Latour, B., Woolgar, S.: Laboratory Life: The Construction of Scientific Facts. Princeton University Press, Princeton (2013)

    Book  Google Scholar 

  45. Leopold, H., Mendling, J., Reijers, H.A., La Rosa, M.: Simplifying process model abstraction: techniques for generating model names. Inf. Syst. 39, 134–151 (2014)

    Article  Google Scholar 

  46. Levin, B.: English Verb Classes and Alternations: A Preliminary Investigation. University of Chicago press, Chicago (1993)

    Google Scholar 

  47. Levitt, B., March, J.G.: Organizational learning. Annu. Rev. Sociol. 14, 319–340 (1988)

    Article  Google Scholar 

  48. Lillrank, P.: The quality of standard, routine and nonroutine processes. Organ. Stud. 24(2), 215–233 (2003)

    Article  Google Scholar 

  49. Lopes, I.F., Ferreira, D.R.: A survey of process mining competitions: the BPI challenges 2011–2018. In: Di Francescomarino, C., Dijkman, R., Zdun, U. (eds.) BPM 2019. LNBIP, vol. 362, pp. 263–274. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-37453-2_22

    Chapter  Google Scholar 

  50. Malinova, M., Gross, S., Mendling, J.: A study into the contingencies of process improvement methods. Inf. Syst. 104, 101880 (2022)

    Article  Google Scholar 

  51. Malinova, M., Mendling, J.: Identifying do’s and don’ts using the integrated business process management framework. Bus. Process Manage. J. 24, 882–899 (2018)

    Article  Google Scholar 

  52. Malone, T.W., Crowston, K., Herman, G.A.: Organizing Business Knowledge: The MIT Process Handbook. MIT Press, Cambridge (2003)

    Google Scholar 

  53. McNulty, T., Ferlie, E.: Reengineering Health Care: the Complexities of Organizational Transformation. OUP, Oxford (2002)

    Google Scholar 

  54. Mendling, J.: From scientific process management to process science: towards an empirical research agenda for business process management. In: ZEUS, pp. 1–4 (2016)

    Google Scholar 

  55. Mendling, J., Baesens, B., Bernstein, A., Fellmann, M.: Challenges of smart business process management: an introduction to the special issue. Decis. Support Syst. 100, 1–5 (2017). https://doi.org/10.1016/j.dss.2017.06.009

    Article  Google Scholar 

  56. Mendling, J., Berente, N., Seidel, S., Grisold, T.: The philosopher’s corner: pluralism and pragmatism in the information systems field: the case of research on business processes and organizational routine. ACM SIGMIS Database DATABASE Adv. Inf. Syst. 52(2), 127–140 (2021)

    Article  Google Scholar 

  57. Mendling, J., Depaire, B., Leopold, H.: Theory and practice of algorithm engineering. ar**v preprint ar**v:2107.10675 (2021)

  58. Mendling, J., Leopold, H., Pittke, F.: 25 challenges of semantic process modeling. Int. J. Inf. Syst. Softw. Eng. Big Co. 1(1), 78–94 (2015)

    Google Scholar 

  59. Mendling, J., Recker, J., Reijers, H.A.: On the usage of labels and icons in business process modeling. Int. J. Inf. Syst. Model. Des. (IJISMD) 1(2), 40–58 (2010)

    Article  Google Scholar 

  60. Mendling, J., Verbeek, H., van Dongen, B.F., van der Aalst, W.M., Neumann, G.: Detection and prediction of errors in EPCs of the SAP reference model. Data Knowl. Eng. 64(1), 312–329 (2008)

    Article  Google Scholar 

  61. Mennis, J.L., Peuquet, D.J., Qian, L.: A conceptual framework for incorporating cognitive principles into geographical database representation. Int. J. Geogr. Inf. Sci. 14(6), 501–520 (2000)

    Article  Google Scholar 

  62. Meyer, R.E., Höllerer, M.A., Jancsary, D., Van Leeuwen, T.: The visual dimension in organizing, organization, and organization research: core ideas, current developments, and promising avenues. Acad. Manage. Ann. 7(1), 489–555 (2013)

    Article  Google Scholar 

  63. Miller, G.A.: WordNet: An Electronic Lexical Database. MIT Press, Cambridge (1998)

    MATH  Google Scholar 

  64. Münstermann, B., Eckhardt, A., Weitzel, T.: The performance impact of business process standardization. Bus. Process Manage. J. 30, 125–134 (2010)

    Google Scholar 

  65. Navigli, R., Bevilacqua, M., Conia, S., Montagnini, D., Cecconi, F.: Ten years of BabelNet: a survey. In: IJCAI, pp. 4559–4567 (2021)

    Google Scholar 

  66. Neu, D.A., Lahann, J., Fettke, P.: A systematic literature review on state-of-the-art deep learning methods for process prediction. Artif. Intell. Rev. 5, 801–827 (2022)

    Article  Google Scholar 

  67. Oldham, G.R., Fried, Y.: Job design research and theory: past, present and future. Organ. Behav. Hum. Decis. Process. 136, 20–35 (2016)

    Article  Google Scholar 

  68. Pan, Y., Zhang, L.: A BIM-data mining integrated digital twin framework for advanced project management. Autom. Constr. 124, 103564 (2021)

    Article  Google Scholar 

  69. Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S.: A design science research methodology for information systems research. J. Manage. Inf. Syst. 24(3), 45–77 (2007)

    Article  Google Scholar 

  70. Peterson, N.G., et al.: Understanding work using the occupational information network (O*NET): implications for practice and research. Pers. Psychol. 54(2), 451–492 (2001)

    Article  Google Scholar 

  71. Polyvyanyy, A., Solti, A., Weidlich, M., Ciccio, C.D., Mendling, J.: Monotone precision and recall measures for comparing executions and specifications of dynamic systems. ACM Trans. Softw. Eng. Methodol. (TOSEM) 29(3), 1–41 (2020)

    Article  Google Scholar 

  72. Rau, I., Rabener, I., Neumann, J., Bloching, S.: Managing environmental protection processes via BPM at Deutsche Bahn. In: vom Brocke, J., Mendling, J. (eds.) Business Process Management Cases. MP, pp. 381–396. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-58307-5_20

    Chapter  Google Scholar 

  73. Recker, J.: Scientific Research in Information Systems: A Beginner’s Guide, 2nd edn. Springer, Heidelberg (2021). https://doi.org/10.1007/978-3-642-30048-6

    Book  Google Scholar 

  74. Recker, J., Mendling, J.: The state of the art of business process management research as published in the bpm conference. Bus. Inf. Syst. Eng. 58(1), 55–72 (2016). https://doi.org/10.1007/s12599-015-0411-3

    Article  Google Scholar 

  75. Revoredo, K., Djurica, D., Mendling, J.: A study into the practice of reporting software engineering experiments. Empir. Softw. Eng. 26(5), 113 (2021). https://doi.org/10.1007/s10664-021-10007-3

    Article  Google Scholar 

  76. Royce, W.W.: Managing the development of large software systems-concepts and techniques. In: Proceedings of IEEE WESCON, August 1970, pp. 1–9 (1970)

    Google Scholar 

  77. Russakovsky, O., et al.: ImageNet large scale visual recognition challenge. Int. J. Comput. Vis. 115(3), 211–252 (2015)

    Article  MathSciNet  Google Scholar 

  78. Sanders, P.: Algorithm engineering – an attempt at a definition. In: Albers, S., Alt, H., Näher, S. (eds.) Efficient Algorithms. LNCS, vol. 5760, pp. 321–340. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-03456-5_22

    Chapter  Google Scholar 

  79. Schuler, K.K.: VerbNet: A Broad-Coverage, Comprehensive Verb Lexicon. University of Pennsylvania, Philadelphia (2005)

    Google Scholar 

  80. Schumpeter, J.A.: The analysis of economic change. Rev. Econ. Stat. 17(4), 2–10 (1935)

    Article  Google Scholar 

  81. Sedlmair, M., Meyer, M., Munzner, T.: Design study methodology: reflections from the trenches and the stacks. IEEE Trans. Vis. Comput. Graph. 18(12), 2431–2440 (2012)

    Article  Google Scholar 

  82. Simon, H.A.: The structure of ill structured problems. Artif. Intell. 4(3–4), 181–201 (1973)

    Article  Google Scholar 

  83. Smith, A.: The Wealth of Nations: An inquiry into the nature and causes of the Wealth of Nations. Harriman House Limited (2010/1776)

    Google Scholar 

  84. Staples, M.: Critical rationalism and engineering: methodology. Synthese 192(1), 337–362 (2014). https://doi.org/10.1007/s11229-014-0571-6

    Article  Google Scholar 

  85. Strauss, A., Corbin, J.: Basics of Qualitative Research. Sage publications, Thousand Oaks (1990)

    Google Scholar 

  86. Tijdens, K.G., De Ruijter, E., De Ruijter, J.: Comparing tasks of 160 occupations across eight european countries. Employee Relations 36, 110–127 (2014)

    Article  Google Scholar 

  87. Tonelli, F., Demartini, M., Loleo, A., Testa, C.: A novel methodology for manufacturing firms value modeling and map** to improve operational performance in the industry 4.0 era. Procedia CIRP 57, 122–127 (2016)

    Article  Google Scholar 

  88. Van Der Aalst, W.: Process Mining: Data Science in Action, 2nd edn. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-49851-4

    Book  Google Scholar 

  89. Van de Ven, A.H., Poole, M.S.: Explaining development and change in organizations. Acad. Manage. Rev. 20(3), 510–540 (1995)

    Article  Google Scholar 

  90. Vidgof, M., Djurica, D., Bala, S., Mendling, J.: Interactive log-delta analysis using multi-range filtering. Softw. Syst. Model. 21(3), 847–868 (2022). https://doi.org/10.1007/s10270-021-00902-0

    Article  Google Scholar 

  91. Von Hippel, E., Von Krogh, G.: Crossroads-identifying viable “need-solution pairs’’: problem solving without problem formulation. Organ. Sci. 27(1), 207–221 (2016)

    Article  Google Scholar 

  92. Weske, M., Decker, G., Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A.: Model collection of the business process management academic initiative. Zenodo (2020)

    Google Scholar 

  93. Wüllenweber, K., Beimborn, D., Weitzel, T., König, W.: The impact of process standardization on business process outsourcing success. Inf. Syst. Front. 10(2), 211–224 (2008)

    Article  Google Scholar 

  94. Wurm, B., Grisold, T., Mendling, J., vom Brocke, J.: Business process management and routine dynamics. In: Cambridge Handbook of Routine Dynamics, pp. 513–524. Cambridge University Press (2021)

    Google Scholar 

  95. **ng, Z., Pei, J., Keogh, E.: A brief survey on sequence classification. ACM SIGKDD Explor. Newsl. 12(1), 40–48 (2010)

    Article  Google Scholar 

  96. Yeshchenko, A., Ciccio, C.D., Mendling, J., Polyvyanyy, A.: Visual drift detection for event sequence data of business processes. IEEE Trans. Vis. Comput. Graph. 28(8), 3050–3068 (2022). https://doi.org/10.1109/TVCG.2021.3050071

    Article  Google Scholar 

  97. Yeshchenko, A., Mendling, J.: A survey of approaches for event sequence analysis and visualization using the esevis framework. CoRR abs/2202.07941 (2022). https://arxiv.org/abs/2202.07941

  98. Zelt, S., Recker, J., Schmiedel, T., Vom Brocke, J.: Development and validation of an instrument to measure and manage organizational process variety. PloS One 13(10), e0206198 (2018)

    Article  Google Scholar 

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Acknowledgement

The research by Jan Mendling was supported by the Einstein Foundation Berlin under Grant No. EPP-2019-524.

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Authors and Affiliations

  1. Humboldt-Universität zu Berlin, Unter den Linden 6, 10099, Berlin, Germany

    Jan Mendling

  2. Weizenbaum-Institut e. V., Hardenbergstraße 32, 10623, Berlin, Germany

    Jan Mendling

  3. Wirtschaftsuniversität Wien, Welthandelsplatz 1, 1020, Vienna, Austria

    Jan Mendling

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  1. Jan Mendling
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Correspondence to Jan Mendling .

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Editors and Affiliations

  1. Sapienza University of Rome, Rome, Italy

    Claudio Di Ciccio

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Remco Dijkman

  3. Universidad de Sevilla, Seville, Spain

    Adela del Río Ortega

  4. Technical University of Munich, Garching, Germany

    Stefanie Rinderle-Ma

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Mendling, J. (2022). Advancing Business Process Science via the Co-evolution of Substantive and Methodological Knowledge. In: Di Ciccio, C., Dijkman, R., del Río Ortega, A., Rinderle-Ma, S. (eds) Business Process Management. BPM 2022. Lecture Notes in Computer Science, vol 13420. Springer, Cham. https://doi.org/10.1007/978-3-031-16103-2_1

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