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Computer Science - Database Management & Information Retrieval | Organizational Design and Enterprise Engineering

Organizational Design and Enterprise Engineering

Organizational Design and Enterprise Engineering

Editors-in-Chief: H.A. Proper; R. Magalhães

ISSN: 2367-3567 (print version)
ISSN: 2367-3575 (electronic version)

Journal no. 41251

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Presents research that helps break down differences in mindset between organizational sciences, business informatics, and computer science.

  • Focuses on organizational design, business (process) engineering, business process optimization, information systems engineering, enterprise architecture, and enterprise engineering in general
  • Establishes a common ground between organizational sciences, business informatics, and computer science
  • Intertwines design, construction, and change of information technology supported organizations
  • Emphasizes practical issues of information technology implementation in real-life organizations

This journal helps break down the us-and-them mindset that blocks strategic and operational thinking in organizations. It presents papers using a model-enabled, rather than model-centric or model-oriented approach, to reach both IT and organizational leaders.

Related subjects » Business Information Systems - Database Management & Information Retrieval - Information Systems and Applications - Organization - Human Resource Management

Abstracted/Indexed in 

Google Scholar, CNKI, EBSCO Discovery Service, OCLC, Summon by ProQuest

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For authors and editors

  • Aims and Scope

    Aims and Scope


    The relationship between organizational sciences, business informatics, and computer science has always been a distant one; although a degree of bridging has been achieved by the discipline of information systems. However, in terms of real-world impact, we still see a lot of money being wasted on IT applications that never fit the needs of organizations. Furthermore, we observe how organizational leaders systematically lose the plot due to their ignorance of the real implications that information technology may have on an organization’s operations and strategy.

    In spite of this, organizational reality and the world of information technology continue to move closer together, pushed by unrelenting social, economic and political forces. This entails a convergence of two key disciplines that respectively represent the organizational sciences and the engineering sciences (mixing business informatics and computer science). Organizational sciences are represented by the overarching discipline of Organizational Design while the engineering sciences is represented by the overarching discipline of Enterprise Engineering that aims to bring engineering rigor to the design of enterprises (which includes domains/aspects such as business (process) engineering, business process optimization, information systems engineering, and enterprise architecture).

    Such a convergence between Organizational Design (OD) and Enterprise Engineering (EE), however, has still not been properly acknowledged in terms of academic publishing. One of the key aims of OD&EE is therefore to actively contribute to the breaking down of the “us-and-them” mindset, a major obstacle to the development of strategic and operational thinking in organizations in the 21st century. One way of achieving this and establishing fruitful cooperation between the organizational sciences, business informatics, and computer science communities will be to bring together the key issues which are of concern to each of them, and address these at the same time. For example, how can IT implementation projects benefit from the rigor required by enterprise modelling, and at the same time match the organization’s concerns regarding profitability, innovation, or ethics?

    The vast majority of organizational processes and decisions can be enabled by models created from an engineering-based perspective. From an enterprise engineering perspective, models are specific design artefacts with a semantics component, which allow for specific predictions (within bandwidths of certainty) of properties of the organization (version) to be represented. However, it is also recognized that such an approach must be complemented by an action-oriented or behavioral perspective, involving a continuous dialog (and design) by the organization of its enterprise. From an organizational design perspective, models are reflections and/or representations of such an on-going dialog.

    A model-enabled approach provides an important connection between the world of organizational design and enterprise engineering. Just as senior management uses financial modeling to enable decision-making from a financial perspective, we argue that models of the other parts of an organization can also enable decision-making. Such models can be used to provide insight into the existing situation, the direction in which the organization is moving, as well as the articulation of the desired future situation and direction. Hence, another aim of OD&EE is to invite research papers based on a model-enabled, rather than model-centric or even model-oriented, approach, thus bridging between the communities involved. A model-enabled approach acknowledges the fact that, while models are crucial, what is actually involved in a successful implementation is clearly more than models.

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