Model-driven Organizational and Business Agility (MOBA) 2023

The MOBA Workshop aims at scientific and pragmatic exploration of organizational and business agility or Enterprise Agility as whole. MOBA tries to find analogies and the common theoretical background for model-driven studies of organizational and business agility from various perspectives ranging from formal mathematical approaches to soft skills, by which it tries to harmonize it.

A generic notion of agility as a capability to rapidly response to changes and to reduce uncertainty by an increment-based way, became critically important for all stages of the life cycle of modern IT systems. Although methodological principles and practical tools of agility were adopted in practice of multiple organizations for improving their services and incremental design of better products, there is ever growing challenges that need scientific inquiry, research, and rigorous solutions.

Recognizing strong relations between Digital Twin and Agile development, MOBA workshop will be focused on deeper understanding and modelling new phenomena of organisational and business agility when the organisation incorporates Digital Twin solutions to its structure.

In order to model and study organizational and business agility from system perspective, we inevitably should join together best practices from industry, enterprise architecture, semantic interoperability, model-driven design of information systems, models validation, business value co-creation. 

Addressing aforementioned challenges MOBA workshop aims at growing a multi-disciplinary community of researchers and practitioners, which will consolidate their efforts in detecting, modeling, improving and disseminating best agility practices and theories. Different agility phenomena will be studied from a systemic viewpoint, distinguishing endogenous agility inside an organization and the exogenous one as business connections with external parties. Common principles of model-driven research and engineering of organizational or technical artefacts will guarantee consistency and interoperability of the results obtained.