Abstract
Information flows across the organization are complex and procedures employed to understand, share and control organizational knowledge and experiences should be properly supported by collaborative environments. Nevertheless, few collaborative methodologies had been proposed to describe and evolve business processes. In the future, business processes models should be the result of cross-team and cross-departmental collaboration, with involved business people sharing their personal knowledge and formalizing it. This paper focuses on a methodology for business process discovery and the importance to integrate local information into coherent and sound process definitions. Business Alignment Methodology (BAM) is a methodology that provides guidance about how organizational practices and knowledge are gathered to contribute for business process improvement against current BPM approaches.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Laudon, K.C., Laudon, J.P.: Management Information Systems, 7th edn. Prentice-Hall, Englewood Cliffs (2002)
Dignum, V.: A model for organizational interaction: based on agents, founded in logic. SIKS Dissertation Series No. 2004-1. PhD thesis, Utrecht University, Netherlands (2004)
Magalhães, R.: Organizational Knowledge and Technology. Edward Elgar Publishing (2004)
Mengoni, M., Graziosi, S., Mandolini, M., Peruzzini, M.: A knowledge-based workflow to dynamically manage human interaction in extended enterprise. International Journal on Interactive Design and Manufacturing, IJIDeM (October 2010)
Brown, M.K., Huettner, B., James-Tanny, C.: Managing Virtual Teams: getting the most from wikis, blogs and other collaborative tools. Jones & Bartlett Publishers (2007)
Shekkerman, J.: How to Survive in the Jungle of Enterprise Architecture Frameworks. Trafford (2004)
Ghose, A., Koliadis, G., Chueng, A.: Rapid business process discovery (R-BPD). In: Parent, C., Schewe, K.-D., Storey, V.C., Thalheim, B. (eds.) ER 2007. LNCS, vol. 4801, pp. 391–406. Springer, Heidelberg (2007)
Hatch, M.J., Cunliffe, A.L.: Organization Theory, 2nd edn. Oxford University Press, Oxford (2006)
Houck, C.: Breaking through with Business Process Discovery. Business Intelligence Journal 12(14) (2007)
Van Der Aalst, W.M.P., Reijers, H.A., Weijters, A.J.M.M., Van Dongen, B.F., De Medeiros, A.K.A., Song, M., Verbeek, H.M.W.: Business Process Mining: An Industrial Application. Information Systems 32(5), 713–732 (2007)
Hollingsworth, D.: The Workflow Reference Model: 10 Years On, Lighthouse Point, FL, pp. 295–312 (2004)
Reichert, M., Dadam, P., Jurisch, M., Kreher, U., Göser, K.: Architectural Design of Flexible Process Management Technology. Information Systems (2008)
Mutschler, B., Weber, B., Reichert, M.U.: Workflow management versus case handling: results from a controlled software experiment. In: 23rd Annual ACM Symposium on Applied Computing (SAC 2008), Special Track on Coordination Models, Languages and Architectures (2008)
Verner, L.: BPM: the Promises and the Challenge. ACM Queue 2(1), 82–91 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Martins, P.V., Zacarias, M. (2011). BAM - Business Alignment Methodology. In: Cruz-Cunha, M.M., Varajão, J., Powell, P., Martinho, R. (eds) ENTERprise Information Systems. CENTERIS 2011. Communications in Computer and Information Science, vol 219. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24358-5_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-24358-5_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24357-8
Online ISBN: 978-3-642-24358-5
eBook Packages: Computer ScienceComputer Science (R0)