Abstract
There are a number of methods for business process improvement that are used in practice and investigated in theory, such as Lean or Six Sigma. Most of these methods are activity based and they are aimed at optimizing the activities flow, and/or the usage of resources in the process. These methods suit well the workflow-based processes and thinking, but they are not easily adaptable to Case/Adaptive Case Management (CM/ACM) processes, the goal of improvement for which is improving the overall result from the knowledge workers cooperative work. Another distinctive feature of CM/ACM is that the process is guided not through which flow of activities to use in certain situations, but through a set of templates to use in these situations. This paper outlines a possible method of improving CM/ACM processes based on the Viable System Model (VSM). Though the usage of VSM for process improvement has been reported in the literature, it was not specifically applied to CM/ACM processes. The outline is based on the analysis of the process of organizing a series of scientific events, such as the AdaptiveCM workshop.
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Bider, I., Jalali, A., Ohlsson, J.: Adaptive case management as a process of construction of and movement in a state space. In: Demey, Y.T., Panetto, H. (eds.) OTM 2013 Workshops 2013. LNCS, vol. 8186, pp. 155–165. Springer, Heidelberg (2013)
Beer, S.: The Heart of Enterprise. Wiley, Chichester (1979)
Vidgen, R., Wang, X.: From business process management to business process ecosystem. J. Inf. Technol. (JIT) 21, 262–271 (2006)
Azadeh, A., Darivandi, K., Fathi, E.: Diagnosing, simulating and improving business process using cybernetic laws and the viable system model: the case of a purchasing process. Syst. Res. Behav. Sci. 29(1), 66–86 (2012)
AdaptiveCM 2015: DSV, Stockholm University (2015). http://acm2015.blogs.dsv.su.se/. Accessed June 2015
Espejo, R., Reyes, A.: Organizational Systems: Managing Complexity with the Viable System Model. Springer, Heidelberg (2011)
Golnam, A., Regev, G., Wegmann, A.: On viable service systems: developing a modeling framework for analysis of viability in service systems. In: Snene, M., Ralyté, J., Morin, J.-H. (eds.) IESS 2011. LNBIP, vol. 82, pp. 30–41. Springer, Heidelberg (2011)
Hoebeke, L.: Identity: the paradoxical nature of organizational closure. Kybernetes 35(1/2), 65–75 (2006)
Gao, S., Krogstie, J.: A combined framework for development of business process support systems. In: Persson, A., Stirna, J. (eds.) PoEM 2009. LNBIP, vol. 39, pp. 115–129. Springer, Heidelberg (2009)
EasyChair. http://www.easychair.org/. Accessed June 2015
Josefsson, M., Widman, K., Bider, I.: Using the process-assets framework for creating a holistic view over process documentation. In: Gaaloul, K., Schmidt, R., Nurcan, S., Guerreiro, S., Ma, Q. (eds.) BPMDS 2015 and EMMSAD 2015. LNBIP, vol. 214, pp. 169–183. Springer, Heidelberg (2015)
EDOC (2015). https://edoc2015.unisa.edu.au/. Accessed June 2015
PoEM (2015). http://www.pros.upv.es/es/home-poem2015. Accessed June 2015
BPMDS (2012). http://www.bpmds.org/. Accessed June 2015
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The author is grateful to the reviewers and AdaptiveCM 2015 participants whose comments helped to improve the final version of this paper.
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Bider, I. (2016). Towards Process Improvement for Case Management. In: Reichert, M., Reijers, H. (eds) Business Process Management Workshops. BPM 2016. Lecture Notes in Business Information Processing, vol 256. Springer, Cham. https://doi.org/10.1007/978-3-319-42887-1_9
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DOI: https://doi.org/10.1007/978-3-319-42887-1_9
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