Ioannis Boules – Department of Financial and Management Engineering, Engineering School, University of the Aegean, Greece

Xanthi Tsipoura – Department of Financial and Management Engineering, Engineering School, University of the Aegean, Greece

Michail Glykas – Department of Financial and Management Engineering, Engineering School, University of the Aegean, Greece

Keywords:
Process mining;
Maturity assessment;
Critical success factors;
Literature survey

DOI: https://doi.org/10.31410/LIMEN.2022.151

Abstract

In this paper, we present a literature survey of Process Mining and its identified implementation. The aim is the identification of the most prom­inent Critical Success Factors that should be achieved for successful pro­cess mining implementation. We concluded with ten proposed critical suc­cess factors that should be assessed in any process mining implementation. We also elaborate on the role of process mining in business process manage­ment and its contribution in resolving identified drawbacks.

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8th International Scientific-Business Conference – LIMEN 2022 – Leadership, Innovation, Management and Economics: Integrated Politics of Research – CONFERENCE PROCEEDINGS, Hybrid (EXE Budapest Center, Budapest, Hungary), December 1, 2022,

LIMEN Conference proceedings published by the Association of Economists and Managers of the Balkans, Belgrade, Serbia

LIMEN Conference 2022 Conference proceedings: ISBN 978-86-80194-66-0, ISSN 2683-6149, DOI:  https://doi.org/10.31410/LIMEN.2022

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Suggested citation

Boules, I., Tsipoura, X., & Glykas, M. (2022). Process Mining Maturity Assessment – Critical Success Factors. In V. Bevanda (Ed.), International Scientific-Business Conference – LIMEN 2022: Vol 8. Conference proceedings (pp. 151-166). Association of Economists and Managers of the Balkans.  https://doi.org/10.31410/LIMEN.2022.151

References

Abdolvand, N., Albadvi, A., & Ferdowsi, Z. (2008). Assessing readiness for business process reengineering. Business Process Management Journal, 14(4), 497-511.

Ahmad, H., Francis, A. & Zairi, M. (2007). Business process reengineering: Critical success factors in higher education. Business Process Management Journal, 13(3), 451-469. https://doi.org/10.1108/14637150710752344  

Algermissen, L., Delfmann, P., & Niehaves, B. (2005). Experiences in process oriented reor­ganization through reference modelling in public administrations – the case study REGIO @ KOMM. Proceedings of the European Conference on Information Systems (ECIS), Re­gensburg, p. 134.

Aloini, D., Benevento, E., Stefanini, A., & Zerbino, P., (2020). Process fragmentation and port performance: Merging SNA and text mining, International Journal of Information Man­agement, Volume 51, April 2020, 101925 – Elsevier.

Aloini, D., Colladon, A. F., Gloor, P., & Guerrazzi, E. (2021). Enhancing operations manage­ment through smart sensors: measuring and improving well-being, interaction and perfor­mance of logistics workers. TQM Journal, 2021 – emerald.com.

Alvarez, C., Rojasa, E., Ariasa, M., Munoz-Gama, J., Sepúlveda, M., Herskovic, V., & Capurro, D. (2018). Discovering role interaction models in the Emergency Room using Process Mining, Journal of Biomedical Informatics. (78), 60-77, https://doi.org/10.1016/j.jbi.2017.12.015  

Anand, A., Wamba, S. F. & Gnanzou, D. (2013). A literature review on business process manage­ment, business process reengineering, and business process innovation. Lecture Notes in Business Information Processing, 153, 1-23. https://doi.org/10.1007/978-3-642-41638-5_1 

Arias, M., Saavedra, R., Marques Samary, M., Munoz-Gama, J., & Sepulveda, M. (2018). Hu­man resource allocation in business process management and process mining: A system­atic mapping study. Management Decision, 56(2), 376–405. doi: 10.1108/md-05-2017-0476 

Batista, E., & Solanas, A. (2018). Process Mining in Healthcare: A Systematic Review. [IEEE 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA) – Zakynthos, Greece (2018.7.23-2018.7.25)] 2018 9th International Conference on Information, Intelligence, Systems and Applications (IISA), 1–6. https://doi.org/10.1109/ IISA.2018.8633608

Berente, N., Vandenbosch, B., & Aubert, B. (2009). Information flows and business process in­tegration. Business Process Management Journal, 15 (1), 119-141.

Bicknell, J. W., & Krebs, W. G. (2021). Detecting botnet signals using process mining. Com­putational and Mathematical Organization Theory, 27, 161–178. https://doi.org/10.1007/s10588-020-09320-x 

Bougoulia, E. & Glykas, M. (2022). Knowledge management maturity assessment frameworks: A proposed holistic approach. Knowledge and Process Management, 1– 32. https://doi.org/10.1002/kpm.1731 

Brzychczy, E. (2017). Use of process mining techniques in an enterprise. Inzynieria Mineralna, (2), 237-244. https://doi.org/10.29227/im-2017-02-26 

Buzacott, J. A. (1996). Commonalities in reengineered business processes: models and issues. Management Science, 42(5), 768-782.

Castro, B. K. d. A., Dresch, A., & Veit, D. R. (2019). Key critical success factors of BPM imple­mentation: a theoretical and practical view. Business Process Management Journal, 26(1), 239-256. https://doi.org/10.1108/BPMJ-09-2018-0272 

Cho, M., Song, M., Comuzzi, M., & Yoo S. (2017). Evaluating the effect of best practices for business process redesign: An evidence-based approach based on process mining tech­niques. Decision Support System, 104, 92-103. https://doi.org/10.1016/j.dss.2017.10.004 

Coskun, S., Basligil, H. & Baracli, H. (2008). A weakness determination and analysis model for business process improvement. Business Process Management Journal, 14 (2), 243-261.

Dakic, D., Sladojevic, S., Lolic, T., & Stefanovic, D. (2019). Process Mining Possibilities and Challenges: A Case Study. IEEE 17th International Symposium on Intelligent Systems and Informatics (SISY). https://doi.org/10.1109/sisy47553.2019.9111591 

Dakic, D., Stefanović, D., Cosic, I., Lolić, T. & Medojevic, M. (2018). Business Process Mining Application: A Literature Review, pp. 0866-0875.

Dakic, D., Stefanovic, D., Lolic, T., Narandzic, D. & Simeunovic, N. (2020). Event log ex­traction for the purpose of process mining: a systematic literature review. In: Prostean, G., Lavios Villahoz, J., Brancu, L., Bakacsi, G. (eds). Innovation in Sustainable Manage­ment and Entrepreneurship. SIM 2019. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-44711-3 

Davenport, T.H. (1993). Process Innovation: Reengineering Work Through Information Tech­nology, Harvard Business School Press: Boston, MA.

Djedović, A., Żunić, E. & Karabegović, A. (2017). International Conference on Smart Sys­tems and Technologies (SST), Osijek, Croatia, 2017, pp. 143-148, https://doi.org/10.1109/SST.2017.8188685 

Dogan, O., Bayo-Monton, J.-L., Fernandez-Llatas, C., & Oztaysi, B. (2019). Analyzing of Gen­der Behaviors from Paths Using Process Mining: A Shopping Mall Application. Sensors, 19(3), 557. https://doi.org/10.3390/s19030557 

Dumas, M., La Rosa, M., Mendling, J., & Reijers, H. A. (2013). Fundamentals of Business Pro­cess Management. Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-662-56509-4 

Dunkl, R., Fröschl, K. A., Grossmann, W., & Rinderle-Ma, S. (2011). Assessing Medical Treat­ment Compliance Based on Formal Process Modeling. Information Quality in e-Health, 533–546. https://doi.org/10.1007/978-3-642-25364-5_37 

Erdogan, T. G., & Tarhan, A. (2018). Systematic Mapping of Process Mining Studies in Health­care. IEEE Access, 6, 24543-24567. https://doi.org/10.1109/access.2018.2831244 

Glykas, M. (2015). Cluster Business Processes Management with 3D Immersive Environ­ments. International Journal of E-Entrepreneurship and Innovation, 5(2), 1-23. https://doi.org/10.4018/IJEEI.2015070101 

Glykas, M. (2019a). Quality Management Review: A Case Study of the Application of the Glykas Quality Implementation Compass. Journal of Multidisciplinary Engineering Science and Technology, 6(12). https://www.jmest.org/wp-content/uploads/JMESTN42353230.pdf 

Glykas, M. (2019b). Audit Process Quality Management in the Airlines Sector with Glykas Quality Compass. International Journal of Management Sciences and Business Research, 8(12), 155-183. https://doi.org/10.5281/zenodo.3613296 

Glykas, M. (2022). Quality management implementation maturity assessment in the food in­dustry: Glykas quality compass assessment on ISO 22000. International Journal of Pro­ductivity and Quality Management, 1 (1), 1. https://doi.org/10.1504/ijpqm.2022.10047704 

Glykas, M., & Johnichen G. (2017). Quality and Process Management Systems in the UAE Mar­itime Industry. International Journal of Productivity Management and Assessment Tech­nologies, 5(1), 20-39. https://doi.org/10.4018/IJPMAT.2017010102 

Glykas, M., Bailey, O. H., Al Maery, M. O., & Al Maery, N. O. (2015). Process and Quality Management in Vocational Education & Training (VET). International Journal of Man­agement Sciences and Business Research, 4(10). https://www.ijmsbr.com/Volume%204%20Issue%2010%20Paper%2013%20Final.pdf  

Glykas, M., Valiris, G., Kokkinaki, A., & Koutsoukou, Z. (2018). Banking Business Process Management Implementation. International Journal of Productivity Management and As­sessment Technologies, 6(1), 50-69. https://doi.org/10.4018/IJPMAT.2018010104 

Grajewski, P., Sliż, P. & Tenbrink, C. (2021). Assessing efficiency and effectiveness in the auto­motive after-sales processes. International Journal of Services and Operations Manage­ment, 1-1. https://doi.org/10.1504/IJSOM.2021.10039383 

Gupta, M. (2017). Improving Software Maintenance Using Process Mining and Predictive Ana­lytics. IEEE International Conference on Software Maintenance and Evolution (ICSME), Shanghai, China: IEEE. https://doi.org/10.1109/icsme.2017.39 

Gupta, S., Modgil, S. & Gunasekaran, A. (2019). Big data in lean six sigma: a review and fur­ther research directions. International Journal of Production Research, 1-23. https://doi.org/10.1080/00207543.2019.1598599  

Hammer, M. & Champy, J. (1993). Reengineering the Corporation: A Manifesto for Business Revolution. New York: Harper Business.

Harl, M., Weinzierl, S. & Stierle, M. (2020). Explainable predictive business process monitoring using gated graph neural networks. Journal of Decision Systems, 2020 – Taylor & Francis.

Hicham, R., & Anis, B. M. (2020). Processes meet Big Data: Scaling process discovery algo­rithms in Big Data environment. Journal of King Saud University – Computer and Infor­mation Sciences, 2020 – Elsevier.

Houy, C., Fettke, P. and Loos, P. (2010). Empirical research in business process management – analysis of an emerging field of research. Business Process Management Journal, 16(4), 619-661. https://doi.org/10.1108/14637151011065946 

Huang, Z., Lu, X., & Duan, H. (2011). Mining association rules to support resource allocation in business process management. Expert Systems with Applications, 38(8), 9483–9490. https://doi.org/10.1016/j.eswa.2011.01.146 

Jokonowo, B., Claes, J. & Sarno, R. (2018). Process mining in supply chains: a systematic litera­ture review. International Journal of Electrical and Computer Engineering (IJECE) Vol.8, No.6, December 2018, ISSN: 2088-870, 2018 – researchgate.net 

Juhaňák, L., Zounek, J., & Rohlíkova, L. (2019). Using process mining to analyze students’ quiz-taking behavior patterns in a learning management system, Computers in Human Behavior, 92, 496-506. https://doi.org/10.1016/j.chb.2017.12.015 

Kedem-Yemini, S. (2020). Analysis of Cargo Release Services with Process Mining, Interna­tional Journal of Industrial Engineering, 2020 – ieomsociety.org.

Klein, Β. (1995). The economics of franchise contracts. Journal of Corporate Finance, 2(1-2), 9-37. https://doi.org/10.1016/0929-1199(95)00003-q 

Kouhestani, S. & Nik-Bakht, M. (2020). IFC-based process mining for design authoring. Auto­mation in Construction, 112, 103069. https://doi.org/10.1016/j.autcon.2019.103069 

Kouhestani, S. (2019). Integration of Building Information Modeling (BIM) and Process Min­ing for Design Authoring Processes, – spectrum.library.concordia.ca.

Kouroupaki, I., Mpafas, C. & Glykas, M. (2022). Fuzzy Cognitive Strategic Map Hierarchies in Performance Measurement, Modeling and Reorganization. In & E. N. Degirmenci (Ed.), New Frontiers for Management and Strategy in the Post-Pandemic Era, vol. 130. Europe­an Proceedings of Social and Behavioural Sciences (pp. 239-259). European Publisher. https://doi.org/10.15405/epsbs.2022.12.02.18 

Lameijer, BA., Pereira, W. & Antony, J. (2021). The implementation of Lean Six Sigma for op­erational excellence in digital emerging technology companies. Journal of Manufactur­ing, 2021 – emerald.com.

Lamghari, Z., Radgui, M., Saidi R. & Rahmani, M. D. (2019b). Passage challenges from da­ta-intensive system to knowledge-intensive system related to process mining field, Arab­WIC 2019: Proceedings of the ArabWIC 6th Annual International Conference Research TrackMarch 2019 Article No.: 3 Pages 1-6. https://doi.org/10.1145/3333165.3333168 

Lamghari, Z., Radgui, M., Saidi, R., & Rahmani, M. D. (2019a). Defining business process improvement metrics based on BPM life cycle and process mining techniques. Interna­tional Journal of Business Process Integration and Management, 9(2), 107. https://doi.org/10.1504/ijbpim.2019.099875 

Lim, C., Kim, M.J., Kim, K.H. & Kim, K.J. (2018). Customer process management: A frame­work for using customer-related data to create customer value. Journal of Service Man­agement, ISSN: 1757-5818, 2018 – emerald.com.

Lorenz, R., Senoner, J. & Sihn, W. (2021). Using process mining to improve productivity in make-to-stock manufacturing. International Journal of Production Research, Volume 59, 2021 – Issue 16.

Maddah, N., & Roghanian, E. (2021). Data-driven performance management of business units using process mining and DEA: case study of an Iranian chain store. International Jour­nal of Productivity and Performance Management, 72(2), 550-575. https://doi.org/10.1108/ijppm-10-2020-0562  

Mahendrawathi, E.R., Arsad, N. & Astuti, H.M. (2019). Analysis of production planning in a global manufacturing company with process mining. Journal of Enterprise Information Management, 31(2), 317–337. https://doi.org/10.1108/jeim-01-2017-0003 

Malinova, M., Hribar, B. & Mendling, J. (2014). A framework for assessing BPM success. ECIS 2014 Proceedings – 22nd European Conference on Information Systems, 0-15. http://ai­sel.aisnet.org/ecis2014?utm_source=aisel.aisnet.org%2Fecis2014%2Fproceedings%2F­track06%2F5&utm_medium=PDF&utm_campaign=PDFCoverPages 

Mannhardt, F. (2018). Multi-perspective Process Mining. BPM (Dissertation/Demos/Industry), 2018 – pure.tue.nl.

Martin, N., De Weerdt, J., & Fernández-Llatas, C. et al. (2020). Recommendations for en­hancing the usability and understandability of process mining in healthcare. Artificial Intelligence in Medicine Volume 109, September 2020, 101962, https://doi.org/10.1016/j.artmed.2020.101962  

Martino, B. D., Cante, L. C., Esposito, A., Lupi, P., & Orlando, M. (2021). Temporal outlier anal­ysis of online civil trial cases based on graph and process mining techniques. International Journal of Big Data Intelligence, 8(1), 31. https://doi.org/10.1504/ijbdi.2021.118746 

Mesabbah, M., Waleed, A. H., & McKeever, S. (2019). – A Hybrid Process Mining Framework for Automated Simulation Modelling for Healthcare. [IEEE 2019 Winter Simulation Con­ference (WSC) – National Harbor, MD, USA (2019.12.8-2019.12.11)] 2019 Winter Simu­lation Conference (WSC), (), 1094–1102. https://doi.org/10.1109/wsc40007.2019.9004800 

Michael, J., Koschmider, A., Mannhardt, F., Baracaldo, N. & Rumpe, B. (2019). User-Centered and Privacy-Driven Process Mining System Design for IoT, International Conference on Advanced Information Systems Engineering CAiSE 2019: Information Systems Engineer­ing in Responsible Information Systems, pp. 194-206 Springer

Oruthotaarachchi, C. R., & Wijayanayake, W. M. J. I. (2021). A Thematic Literature Review on Business Process Management. International Journal of Managing Value and Supply Chains, 12(1), 1-13. https://doi.org/10.5121/ijmvsc.2021.12101 

Park, Y., & Kang, S. (2016). A Study of Process Mining-based Business Process Innovation. Procedia Computer Science, (91) 734-743. 2016/01/01/ 2016, https://doi.org/10.1016/j.procs.2016.07.066  

Peppard, J., & Rowland, P. (1995). The Essence of Business Process Reengineering. New York: Prentice-Hall.

Pereira, G. P., Santos, E. A. P., & Maceno, M. M. C. (2020). Process mining project methodolo­gy in healthcare: a case study in a tertiary hospital. Network Modeling Analysis in Health Informatics and Bioinformatics, 9, 28. https://doi.org/10.1007/s13721-020-00227-w 

Poyssick, G., & Hannaford, S. (1996). Workflow Reengineering. Mountain View, CA.: Adobe Press Editions.

Ranganathan, C., & Dhaliwal, J. S. (2001). A survey of business process reengineering prac­tices in Singapore. Information & Management, 39(2), 125–134. https://doi.org/10.1016/s0378-7206(01)00087-8 

Reijers, H. A., & Limam 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 

Reinkemeyer, L. (2020). Process Mining in Action. Principles, Use Cases and Outlook. Santa Barbara: Springer.

Rosemann, M., & vom Brocke, J. (2010). The Six Core Elements of Business Process Management. Handbook on Business Process Management 1, 107–122. doi: 10.1007/978-3-642-00416-2_5 

Rupp, R., & Russell, J. (1994). Golden rules of process redesign. Quality Progress, 27(12) 85-92.

Ruschel, E., Santos, E. A. P. & Loures, E. F. R. (2020). Establishment of maintenance inspection intervals: an application of process mining techniques in manufacturing. Journal of Intel­ligent Manufacturing, 31, 53–72. https://doi.org/10.1007/s10845-018-1434-7 

Sachini, E., Nikou, E., & Glykas, M. (2022). Process Mining Human Resources Cost Calcu­lations in Time Driven Activity Based Costing. In & E. N. Degirmenci (Ed.), New Fron­tiers for Management and Strategy in the Post-Pandemic Era, vol. 130. European Proceed­ings of Social and Behavioural Sciences (pp. 170-193). European Publisher. https://doi.org/10.15405/epsbs.2022.12.02.15 

Sikal, R., Sbai, H., & Kjiri, L. (2018). Configurable Process Mining: Variability Discovery Ap­proach. 2018 IEEE 5th International Congress on Information Science and Technology (CiSt) https://doi.org/10.1109/cist.2018.8596526 

Smith, H. (2003). Business process management – The third wave: Business process modelling language (bpml) and its pi-calculus foundations. Information and Software Technology, 45, 1065-1069. https://doi.org/10.1016/S0950-5849(03)00135-6 

Trkman, P. (2010). The critical success factors of business process management. Interna­tional Journal of Information Management, 30 (2), 125-134. https://doi.org/10.1016/j.ijinfomgt.2009.07.003 

Turner, C. J., Tiwari, A., Olaiya, R., & Xu, Y. (2012). Process mining: from theory to practice. Busi­ness Process Management Journal, 18(3), 493–512. https://doi.org/10.1108/14637151211232669 

Van Der Aalst, W. (2018). Spreadsheets for business process management: Using process min­ing to deal with “events” rather than “numbers”? Business Process Management Journal, 24 (1), 105-127. https://doi.org/10.1108/BPMJ-10-2016-0190 

Van der Aalst, W. M. P., Reijers, H. A., Weijters, A. J. M. M., van Dongen, B. F., Alves de Medei­ros, A. K., Song, M. & Verbeek, H. M. W. (2007). Business process mining: An industri­al application. Information Systems, 32(5), 713–732. https://doi.org/10.1016/j.is.2006.05.003 

van der Aalst, W.M.P. (2009). TomTom for business process management (TomTom4BPM). in P., van Eck, J. Gordijn & R. Wieringa(Eds), Advanced Information Systems Engineering. CAiSE 2009. Lecture Notes in Computer Science, Vol. 5565, pp. 2-5. Berlin and Heidel­berg: Springer.

Vitzileou, M., Glykas, M., & Melidis, G. (2022). Quality System Management: The Role of Hu­man Resources. In & E. N. Degirmenci (Ed.), New Frontiers for Management and Strate­gy in the Post-Pandemic Era, vol. 130. European Proceedings of Social and Behavioural Sciences (pp. 210-238). European Publisher. https://doi.org/10.15405/epsbs.2022.12.02.17 

Weske, M., Aalst, W., & Verbeek, H. (2004). Advances in business process management. Data & Knowledge Engineering, 50 (1), 1–8. https://doi.org/10.1016/j.datak.2004.01.001 

Yang, S. (2019). Applied process mining, recommendation, and visual analytics, rucore.librar­ies.rutgers.edu.

Young, E. (2019). Process mining and its impact on BPM, 2019. [Online]. Available at: assets. ey.com/content/dam/eysites/eycom/fi_fi/pdf/eyprocess-mining-and-its-impact-on-bpm.pdf    

Zerbato, F., Soffer, P., & Weber, B. (2021). Initial insights into exploratory process mining prac­tices. In: Polyvyanyy, A., Wynn, M.T., Van Looy, A., Reichert, M. (eds). Business Process Management Forum. Lecture Notes in Business Information Processing, vol. 427. Spring­er, Cham. https://doi.org/10.1007/978-3-030-85440-9_9 

Zerbino, P., Stefanini, A., & Aloini, D. (2021). Process Science in Action: A Literature Review on Process Mining in Business Management. Technological Forecasting and Social, (172), 1-20, https://doi.arg/10.1016/j.techfore.2021.121021 

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