Abstract
One of the traditional application areas for enterprise modelling is the context of improving business practice and management. In improvement situations an important dimension is better information flow in enterprises, i.e. to be able to provide the right information required to complete enterprise tasks. In order to systematically capture and analyse information demand, a method for information demand analysis has been developed. The subject of this paper is the use of this method in distributed teams of modellers, which requires transfer of method knowledge to the modellers, coordination of its application, systematic evaluation of lessons learned, and collection of change proposals for the method. The aim is to report on the process of method knowledge transfer and usage including the lessons learned and implications on the used method. The contributions are (1) lessons learned from the process of transferring method knowledge and performing the actual modelling in distributed teams, (2) implications for the method as such regarding alignment between different models-on-plastic (or paper) and electronic models, and (3) implications for the specific method notation.
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
Harmon, P.: The Scope and Evolution of Business Process Management. In: vom Brocke, J., Rosemann, M. (eds.) Handbook on Business Process Management 1: Introduction, Methods, and Information Systems, pp. 83–106. Springer, Heidelberg (2010)
Seigerroth, U.: Enterprise Modelling and Enterprise Architecture – the constituents of transformation and alignment of Business and IT. Accepted for Publication in International Journal of IT/Business Alignment and Governance, IJITBAG (2011)
Hayes, J.: The Theory and Practice of Change Management. Palgrave Macmillan, Basingstoke (2007)
Lundqvist, M., Sandkuhl, K., Seigerroth, U.: Modelling Information Demand in an Enterprise Context: Method, Notation, and Lessons Learned. International Journal of Information System Modeling and Design (IJSMD) 2(3), 75–94 (2011)
Avison, D.E., Fitzgerald, G.: Information Systems Development: Methodologies, Techniques and Tools. McGraw Hill, Berkshire (1995)
Röstlinger, A., Goldkuhl, G.: På väg mot en komponentbaserad metodsyn (in Swedish). Presented at “VITS Höstseminarium 1994”. Linköping University, Linköping (1994)
Ralyté, J., Backlund, P., Kühn, H., Jeusfeld, M.A.: Method Chunks for Interoperability. In: Embley, D.W., Olivé, A., Ram, S. (eds.) ER 2006. LNCS, vol. 4215, pp. 339–353. Springer, Heidelberg (2006)
Brinkkemper, S.: Method engineering: engineering of information systems development methods and tools. Information and Software Technology 37 (1995)
Lundqvist, M.: Information Demand and Use: Improving Information Flow within Small-scale Business Contexts. Licentiate Thesis, Dept of Computer and Information Science, Linköping University, Linköping, Sweden (2007) ISSN 0280-7971
Goldkuhl, G., Lind, M., Seigerroth, U.: Method integration: the need for a learning perspective. IEEE Proceedings - Software 145(4), 113–118 (1998)
Seigerroth, U.: Enterprise Modelling and Enterprise Architecture – the constituents of transformation and alignment of Business and IT. International Journal of IT/Business Alignment and Governance (IJITBAG) 2(1), 16–34 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lundqvist, M., Sandkuhl, K., Seigerroth, U. (2012). Transfer of Method Knowledge and Modelling in Distributed Teams – Lessons Learned. In: Aseeva, N., Babkin, E., Kozyrev, O. (eds) Perspectives in Business Informatics Research. BIR 2012. Lecture Notes in Business Information Processing, vol 128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33281-4_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-33281-4_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33280-7
Online ISBN: 978-3-642-33281-4
eBook Packages: Computer ScienceComputer Science (R0)