TY - GEN
T1 - Business Process Digitalization Tracking and Monitoring: An Heuristic Software-Based Approach
AU - Softic, S.
AU - Resanovic, D.
AU - Lüftenegger, E.
N1 - Conference code: 283479
Export Date: 14 December 2023
Correspondence Address: Softic, S.; CAMPUS 02 University of Applied SciencesAustria; email: [email protected]
References: Holger, S., (2020) So verändert Sich Die Digitale Wirtschaft Durch Corona. Handelsblatt, 15. , May; Wynn, D.C., Clarkson, P.J., Process models in design and development (2018) Res. Eng. Des., 29 (2), pp. 161-202; Allweyer, T., (2009) BPMN 2.0: Introduction to the Standard for Business Process Modeling, , Books on Demand, Norderstedt; Zor, S., Schumm, D., Leymann, F., A proposal of BPMN extensions for the manufacturing domain (2011) Proceedings of the 44Th CIRP International Conference on Manufacturing Systems; Recker, J., Indulska, M., Rosemann, M., Green, P., How good is BPMN really? Insights from theory and practice (2006) Proceedings of the 14Th European Conference on Information Systems, ECIS 2006, , January; Muehlen, M., Recker, J., How much language is enough? Theoretical and practical use of the business process modeling notation (2013) Seminal Contributions to Information Systems Engineering, pp. 429-443. , https://doi.org/10.1007/978-3-642-36926-1 35, Springer, Heidelberg; Dumas, M., Rosa, M.L., Mendling, J., Reijers, H.A., (2018) Fundamentals of Business Process Management, , https://doi.org/10.1007/978-3-662-56509-4, Springer, Berlin, Heidelberg; Lüftenegger, E., Softic, S., Hatzl, S., Pergler, E., A management tool for business process performance tracking in smart production (2018) Mensch Und Computer 2018-Workshopband, , Dachselt, R., Weber, G. (eds.), Bonn, Gesellschaft für Informatik e.V; Softic, S., Lüftenegger, E., Turcin, I., Tracking and analyzing processes in smart production (2020) Trends in Cloud-Based Iot. EICC, pp. 37-50. , https://doi.org/10.1007/978-3-030-40037-8 3, Al-Turjman, F. (ed.), Springer, Cham; Lüftenegger, E., Softic, S., SentiProMo: A sentiment analysis-enabled social business process modeling tool (2020) BPM 2020. LNBIP, 397, pp. 83-89. , https://doi. org/10.1007/978-3-030-66498-5 7, Del Río Ortega, A., Leopold, H., Santoro, F.M. (eds.), Springer, Cham
PY - 2022
Y1 - 2022
N2 - In this paper, we introduce a software-based heuristic approach for scoring the grade of digitalization for business processes modeled in BPMN: The DigiTrack tool. Our tool enables the measurement of the digitalization maturity of a business process by calculating scores for each task. This new method is shown though a case study with a simplified check in process at airport. © 2022, IFIP International Federation for Information Processing.
AB - In this paper, we introduce a software-based heuristic approach for scoring the grade of digitalization for business processes modeled in BPMN: The DigiTrack tool. Our tool enables the measurement of the digitalization maturity of a business process by calculating scores for each task. This new method is shown though a case study with a simplified check in process at airport. © 2022, IFIP International Federation for Information Processing.
KW - BPMN
KW - Digitalization
KW - Heuristic model
KW - Business Process
KW - Case-studies
KW - Check-in process
KW - Heuristics approaches
KW - Measurements of
KW - Heuristic methods
U2 - 10.1007/978-3-031-16411-8_21
DO - 10.1007/978-3-031-16411-8_21
M3 - Conference contribution
SN - 978-3-031-16410-1
VL - 664 IFIP
T3 - IFIP Advances in Information and Communication Technology
SP - 165
EP - 170
BT - Advances in Production Management Systems. Smart Manufacturing and Logistics Systems: Turning Ideas into Action
PB - Springer Science and Business Media Deutschland GmbH
T2 - IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2022
Y2 - 25 September 2022 through 29 September 2022
ER -