Introducing Argumentative and Discursive Enterprise Leading and Management

BITTMANN, Sebastian, BARN, Balbir, CLARK, Tony and THOMAS, Oliver (2013). Introducing Argumentative and Discursive Enterprise Leading and Management. In: First International Workshop On the Globalization of Modeling Languages (GEMOC 2013) and the First International Workshop: Towards the Model Driven Organization (AMINO 2013), Miami, Florida, 29 September-4 October 2013.

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Abstract

Leading an enterprise requires, obviously, decision making. However, these decisions require explanations in order to make it possible for stakeholders to get an understanding about the enterprise’s strategic direction. This is even more important when these stakeholders are in charge to transpose such strategic decision into their tactical or operational work. Enterprise modelling may be capable of depicting strategies per se, but it is rather a vessel of communication than of explanation. Whilst, a strategy may be accordingly modelled, those who receive such a model needs to purposeful interpret and successfully implement it. However, without any insights, justifications or references that go beyond the claim of a model, it is difficult to embrace the theory of the actual modeller. Therefore, in this paper argumentative modelling will be specifically applied to the domain of strategic management. Moreover it will be elucidated how modelled strategic arguments can be used as a basis for enterprise architecture alignment and management. As it will be shown in the paper, the application of argumentative modelling overcomes classical restrictions and makes it possible to support a discourse, which can be later on used as an explanation for the intentions of the modeller.

Item Type: Conference or Workshop Item (Paper)
Research Institute, Centre or Group - Does NOT include content added after October 2018: Cultural Communication and Computing Research Institute > Communication and Computing Research Centre
Departments - Does NOT include content added after October 2018: Faculty of Science, Technology and Arts > Department of Computing
Depositing User: Tony Clark
Date Deposited: 25 Apr 2016 13:12
Last Modified: 18 Mar 2021 18:15
URI: https://shura.shu.ac.uk/id/eprint/12050

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