Abstract
Process Landscapes are critical elements towards the systematic management of a process portfolio, representing its process architecture from a high-level perspective. Consequently, a wide range of methods to generate Process Landscapes is available in the literature, whose effectiveness has been extensively validated, mostly through case studies. However, little is known or reported about the implementation of landscape methods with the human team, e.g. facilitators, common pitfalls, or lessons learned. To fill this research gap, this article proposes the Landscape Method Implementation Grounded Theory based evaluation (LanMI-GT) procedure for the systematic analysis of a landscape method implementation through Grounded Theory. This was generated using a Design Science Research approach. The contribution of this work is twofold. First, the proposed procedure would enable practitioners to systematically analyze the implementation with a human team of a specific landscape method. Second, the procedure is demonstrated by analyzing a well-known Process Landscape Method in a real context, and the findings thereof are discussed in the paper.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
van der Aalst, W.M.P.: Process Mining - Data Science in Action. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-662-49851-4
Abbad Andaloussi, A., Davis, C.J., Burattin, A., López, H.A., Slaats, T., Weber, B.: Understanding quality in declarative process modeling through the mental models of experts. In: Fahland, D., Ghidini, C., Becker, J., Dumas, M. (eds.) BPM 2020. LNCS, vol. 12168, pp. 417–434. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58666-9_24
Bider, I., Perjons, E., Elias, M., Johannesson, P.: A fractal enterprise model and its application for business development. Softw. Syst. Model. 16(3), 663–689 (2016)
Burton, H.O., Pennotti, M.C.: The enterprise map: a system for implementing strategy and achieving operational excellence. Eng. Manag. J. 15(3), 15–20 (2003)
Charmaz, K.: Constructing Grounded Theory. Introducing Qualitative Methods Series. SAGE (2014)
Dijkman, R., Vanderfeesten, I., Reijers, H.A.: Business process architectures: overview, comparison and framework. Enterp. Inf. Syst. 12(2), 129–158 (2016)
Dumas, M., La Rosa, M., Mendling, J., Reijers, H.A.: Business Process Management. Springer, Heidelberg (2013)
Dumont, T., Fettke, P., Loos, P.: Towards multi-dimensional clustering of business process models using latent Dirichlet allocation. In: MKWI 2016, pp. 69–80 (2016)
Glaser, B., Strauss, A.: The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine Publishing Company (1967)
Gonzalez-Lopez, F., Bustos, G.: Business process architecture design methodologies - a literature review. Bus. Process. Manag. J. 25(6), 1317–1334 (2019)
Gonzalez-Lopez, F., Bustos, G.: Evaluating methodologies for business process architecture design - a pilot study. In: ZEUS 2019 (2019)
Gonzalez-Lopez, F., Munoz-Gama, J., Fabia, P., Jara, A.: Technical report: on the systematic analysis of process landscape method implementation using grounded theory (2021). trlanmigt.haplab.org
Green, S., Ould, M.: A framework for classifying and evaluating process architecture methods. SPIP 10(4), 415–425 (2005)
Green, S., Ould, M.A.: The primacy of process architecture. In: CAiSE Workshops, pp. 154–159 (2004)
Gruhn, V., Köhler, A.: Modelling, analysis and improvement of mobile business processes with the MPL method. In: ICEIS 2009, pp. 89–94 (2009)
Harmon, P., García, J.: The state of business process management 2020 - a BPTrends report (2020). https://www.bptrends.com
Harmon, P.: Business Process Change: A Business Process Management Guide for Managers and Process Professionals. Elsevier, Amsterdam (2014)
Kudryavtsev, D., Grigoriev, L.: Systemic approach towards enterprise functional decomposition. In: CEC 2011, pp. 310–317 (2011)
Malinova, M., Leopold, H., Mendling, J.: An empirical investigation on the design of process architectures. In: Alt, R., Franczyk, B. (eds.) Proceedings of the 11th International Conference on Wirtschaftsinformatik, vol. 2, pp. 1197–1211 (2013)
Moody, D., Sindre, G., Brasethvik, T., Solvberg, A.: Evaluating the quality of information models: empirical testing of a conceptual model quality framework. In: ICSE 2003, pp. 295–305 (2003)
Peffers, K., Tuunanen, T., Rothenberger, M., Chatterjee, S.: A design science research methodology for information systems research. J. Manag. Inf. Syst. 24(3), 45–77 (2007)
Pesantes, M., Mitre, H.A., Lemus, C.: Evaluation of process architecture design methods. In: Murgante, B., et al. (eds.) ICCSA 2013. LNCS, vol. 7973, pp. 144–159. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39646-5_11
Poels, G., García, F., Ruiz, F., Piattini, M.: Architecting business process maps. Comput. Sci. Inf. Syst. 17(1), 117–139 (2020)
Recker, J.: Scientific Research in Information Systems. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-30048-6
Saldaña, J.: The Coding Manual for Qualitative Researchers. Sage (2009)
Sandkuhl, K., Seigerroth, U.: Method engineering in information systems analysis and design. Softw. Syst. Model. 18, 1833–1857 (2019)
The Open Group: ArchiMate 3.0.1 Specification (2017)
Van Nuffel, D., De Backer, M.: Multi-abstraction layered business process modeling. Comput. Ind. 63(2), 131–147 (2012)
Acknowledgments
This work was supported by ANID FONDECYT project 3210147.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this paper
Cite this paper
Gonzalez-Lopez, F., Munoz-Gama, J., Fabia, P., Jara, A. (2022). On the Systematic Analysis of Process Landscape Method Implementation Using Grounded Theory. In: Marrella, A., Weber, B. (eds) Business Process Management Workshops. BPM 2021. Lecture Notes in Business Information Processing, vol 436. Springer, Cham. https://doi.org/10.1007/978-3-030-94343-1_21
Download citation
DOI: https://doi.org/10.1007/978-3-030-94343-1_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-94342-4
Online ISBN: 978-3-030-94343-1
eBook Packages: Computer ScienceComputer Science (R0)