Capability Driven Enterprise Knowledge Modelling for Representation and Analysis
University of the Aegean, Greece
Manchester University, UK
Enterprise modelling has been defined as the ‘art of externalising enterprise knowledge’. In addition, analysis of enterprise models has been used to gain knowledge about the enterprise through simulation or deduction, often by comparing a model of the current state and a model of a future, potentially better state. Examples of analysis made possible using enterprise models include strategic planning, process optimisation, change management and business/IT alignment. Traditional approaches to enterprise modelling approaches rely on “blueprint thinking” that focuses on the formal structure and organisation of the enterprise, with business processes being the fundamental components of the enterprise operation. Such approaches generally assume enterprises as deterministic, top-down managed entities, with a well defined group of clients, a set of services or products provided to these clients, processes to develop and maintain products or services, and suppliers providing the input to processes. However, the prevalence and volatility of digital enterprises shifts enterprise modelling towards a more dynamic enterprise configuration, to embrace the idea of dynamic adaptation according to the internal and external influences that constantly (re-)shape the business environment. To this end, enterprise modelling research has adopted model driven development methods and service oriented architectures originating from the software development domain, as a means to achieve flexible service delivery and the notion of dynamic capability from the strategic management domain in order to address adaptation to the dynamic business context. This talk will outline emergent trends in the field, introduce a conceptual framework for capability driven development of enterprise knowledge and discuss how this can be used to enable the design of capabilities and services using examples from various application areas.
Lecture at NEMO2015
Date/Time: Wednesday, July 22, 2015 at 09:00