SUPPORTING ENTERPRISE TRANSFORMATION USING A UNIVERSAL MODEL ANALYSIS APPROACH

Enterprise Architecture Management has been proposed to help organizations in their efforts to flexibly adapt to rapidly changing market environments. Enterprise architectures are described by means of conceptual models depicting, e.g., an enterprise?s business processes, its organisational structure, or the data the enterprise needs to manage. Such models are stored in large repositories. Using these repositories to support enterprise transformation processes often requires detecting structural patterns containing particular labels within the model graphs. As an example, consider the case of mergers and acquisitions. Respective patterns could represent specific model fragments that occur frequently within the process models of the merging companies. This paper introduces an approach to analyse conceptual models at a structural and semantic level. In terms of structure, the approach is able to detect patterns within the model graphs. In terms of semantics, the approach is able to detect previously standardized model labels. Its core contribution to enterprise architecture management and transformation is two-fold. First, it is able to analyse conceptual models created in arbitrary modelling languages. Second, it supports a wide variety of pattern-based analysis tasks related to managing change in organisations. The approach is applied in a merger and acquisition scenario to demonstrate its applicability

Conceptual Knowledge Relationship Model of Enterprise Architecture and Top Management Roles

Enterprise Architecture (EA) continues to gain global recognition as a management tool that would improve the organization’s performance. The literature review reveals that the alignment of EA with that of the business strategy was not achieved due to inadequate EA knowledge at Top Management (TM) level. This study aims to gauge the level of EA knowledge required at TM level to enable the creation of EA that would enable the alignment of strategic business vision with that of EA. A semi-structured interview was conducted with several personnel in an organization. Data were analyzed using the constant comparative method. This study identified that the TM need to have understanding to two sets of EA knowledge, viz, business process management (BPM) and technology knowledge. A conceptual knowledge relationship model is proposed through synthesizing the roles of EA and TM in supporting the TM in identifying the EA knowledge required. The findings gave contribution to academicians and practitioners with knowledge of how to improve EA assimilation and a structured roadmap for understanding EA to achieve high business value

Literature Review on New Generation Cooperative Enterprise Architecture

Cooperative is a legally incorporated business organization, that built collectively by their member, and aim to fulfill their needs. New version of Cooperative is called New Generation Cooperative (NGC) that has characters as: NGC may issue shares, individuals may hold higher levels of equity through purchase of share, and membership may be limited to shareholders. Enterprise Architecture is the comprehensive conceptual design or blueprint of company and organization, which describes it’s the structures, function, and operations. The purpose of the research is to design the Enterprise Architecture for NGC. This NGC can be started as a low cost enterprise by implementing Open Business Model. The Open Business approach places value on transparency, stakeholder inclusion, and accountability. This research shall purpose the Technology part of Strategic Management, which can relate New Generation Cooperative Enterprise Architecture as new category for Open Business Model

From Enterprise Architecture Management to Organizational Agility: The Mediating Role of IT Capabilities

Enterprise architecture (EA) has claimed to provide several benefits for organizations including improving organizational agility. Becoming more agile is an essential capability for organizations and a necessity to respond to the rapidly changing environment. The way these EA benefits are established is seen as complex and involves interconnections of multiple organizational facets. However, currently, there is a lack of empirical studies on EA and how it contributes to benefit realization. Moreover, empirically validated work on EA processes is even more scarce. This research addresses this gap and investigates the effect of an EA management approach on organizational agility. A conceptual model was developed proposing a mediation effect of IT capabilities on the relationship between enterprise architecture management and agility. A survey was performed among key EA stakeholders. Based on a sample of 110 responses, a partial least squares structural equation modeling analysis was performed to test the mediation model. The results indicate that the effect of enterprise architecture management on organizational agility is indeed mediated by IT capabilities. Finally, the present study discusses the implications of this research and provides suggestions for future research

An enterprise modeling and integration framework based on knowledge discovery and data mining

This paper deals with the conceptual design and development of an enterprise modeling and integration framework using knowledge discovery and data mining. First, the paper briefly presents the background and current state-of-the-art of knowledge discovery in databases and data mining systems and projects. Next, enterprise knowledge engineering is dealt with. The paper suggests a novel approach of utilizing existing enterprise reference architectures, integration and modeling frameworks by the introduction of new enterprise views such as mining and knowledge views. An extension and a generic exploration of the information view that already exists within some enterprise models are also proposed. The Zachman Framework for Enterprise Architecture is also outlined versus the existing architectures and the proposed enterprise framework. The main contribution of this paper is the identification and definition of a common knowledge enterprise model which represents an original combination between the previous projects on enterprise architectures and the Object Management Group (OMG) models and standards. The identified common knowledge enterprise model has therefore been designed using the OMG's Model-Driven Architecture (MDA) and Common Warehouse MetaModel (CWM), and it also follows the RM-ODP (ISO/OSI). It has been partially implemented in Java(TM), Enterprise JavaBeans (EJB) and Corba/IDL. Finally, the advantages and limitations of the proposed enterprise model are outlined

An integrated conceptual model for information system security risk management supported by enterprise architecture management

Risk management is today a major steering tool for any organisation wanting to deal with information system (IS) security. However, IS security risk management (ISSRM) remains a difficult process to establish and maintain, mainly in a context of multi-regulations with complex and inter-connected IS. We claim that a connection with enterprise architecture management (EAM) contributes to deal with these issues. A first step towards a better integration of both domains is to define an integrated EAM-ISSRM conceptual model. This paper is about the elaboration and validation of this model. To do so, we improve an existing ISSRM domain model, i.e. a conceptual model depicting the domain of ISSRM, with the concepts of EAM. The validation of the EAM-ISSRM integrated model is then performed with the help of a validation group assessing the utility and usability of the model

Contextual Components of an Enterprise Architecture Framework for Pan-European eGovernment Services

Enterprise Architecture (EA) frameworks provide a wide range of architecture components. Contextual EA components provide the necessary guidance to design specific architectures in a given context e.g. for Pan-European Government Services (PEGS). Contextual EA components help to describe the background and scope of architecture work and provide a ground to tackle architecture challenges in an agreed way. The main contribution of this conceptual paper is to connect existing theoretical models as a basis to examine contextual components of an EA framework for PEGS. Three aspects are elaborated using a model-based approach: a Critical Success Factor Model, a Strategy Management Model and a Stakeholder Engagement Model. The identified models are aligned with EA standards and provide guidance to empirical research and to programs, projects and initiatives that wish to create interoperability architectures

Conceptual structures for modeling in CIM

The International Standards Organization (ISO) will release in 1993 the first version of the STEP standard, which is dedicated to the exchange of product model data, and is seen as the basis of the next generation of enterprise information modeling tools. Almost in the same time frame ANSI will release the Information Resource Dictionary System(IRDS) Conceptual Schema standard, which recommends the conceptual graphs (CGs) or other representation languages based on logic to be used for enterprise information modeling and integration. In this paper we develop the foundations for the utilization of conceptual structures (CS) in combination with EXPRESS and STEP Application Protocols in the field of Computer Integrated Manufacturing (CIM). The most important result described here is a mapping of EXPRESS into CGs. Around it we develop the architecture of a system able to analyze and translate some of the semantics of information models. Our overall strategy consists of representing the semantics of the language, including the informal meanings represented in the EXPRESS manual in plain English, in a systematic way in CS, and then use this block of knowledge, that can be processed by a machine, for the increasingly automatic analysis, translation and integration of enterprise information models. The work here described is one of the components of a prototype of a model management system under development at IBM, Kingston NY, coordinated by the CIM Architecture group

Conceptual data systems architecture principles for information systems

Information systems alignment with enterprise evolution affects the performance of enterprises. The systems conceptual and data quality, development time and sustainable life cycle management, are issues for enterprise competitiveness. The ability to directly generate enterprise information systems from models has been thought of as a solution to improve on these issues. Model-driven systems have been a research topic for decades. Fundamental principles for a proven model-driven information systems architecture are outlined in this article. Architectural foundation is a separation of user communities conceptual domain from the information technical domain. The users domain is modeled as an information system model in three layers, conceptual data logic model, interface model and user community model. The technical domain is a platform, allowing the modeling and execution of such a model. These principles have been applied in practice and proven viable. Two platforms and applications, which adhere to these principles, are briefly described

Enterprise architectonics as a conceptual device to support a fundamental understanding of enterprise architecture

Evidence of the interest in enterprise architecture (EA) is seen in the number of enterprise architecture frameworks (EAF) in existence. An EAF is responsible for the realisation of an EA, and therefore acts as a container for the terminology of EA. The lack of acceptance of terms and definitions, coupled with the phenomenon of the large number of EAFs, indicate a silo type understanding of what EA is, which leads to a lack of clarity in the conceptual foundations of EA. By following a design science research (DSR) approach, a conceptual artefact (an enterprise architectonic (EAt)) is created to address the lack of clarity in the conceptual foundations of EA thinking and practice. The EAt serves as a conceptual device to represent the fundamental understanding of EA in terms of concepts and their relationships. The content of the EAt is derived from applying a structured interpretation method (SIM) to three prominent EAFs (The Open Group Architecture Framework, the Department of Defense Architecture Framework and the Zachman Framework for Enterprise Architecture). The SIM’s results are an EA understanding that consists of an EA claim: EA is similar in intent to the enterprise as a worldview is to the world. It is supported by six EA propositions: Proposition 1: EA’s underlying theoretical knowledge is in a pre-suppositional state. Proposition 2: EA is a description of the structure of the systems of an enterprise. Proposition 3: EA represents the enterprise in time-oriented architectures such as an as-is, to-be and has-been architecture. Proposition 4: EA translates the values/strategy of the enterprise into operational systems appropriate to the information society. Proposition 5: EA provides a means to manage decisions about the IT/IS management and implementation in the enterprise. Proposition 6: EA captures a representation of the enterprise in the form of a model or set of models. The six EA propositions are analysed through the lens of Heidegger's equipment analysis, to produce a set of architectonic elements. These elements are arranged in the EAt to create a conceptual device to support the fundamental understanding of EA.Centre for Applied Information and CommunicationPh. D. (Information Systems