Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA):Business Process Model Automation in an Industry 4.0 Laboratory

The transformation towards the Industry 4.0 paradigm requires companies to manage large amounts of data. This poses serious challenges with regard to how effectively to handle data and extract value from it. The state-of-the-art research of Enterprise Architecture (EA) provides limited knowledge on addressing this challenge. In this article, the Automated Modeling with Abstraction for Enterprise Architecture (AMA4EA) method is proposed and demonstrated. An abstraction hierarchy is introduced by AMA4EA to support companies to automatically abstract data from enterprise systems to concepts, then to automatically create an EA model. AMA4EA was demonstrated at an Industry 4.0 laboratory. The demonstration showed that AMA4EA could abstract detailed data from the Enterprise Resource Planning (ERP) system and Manufacturing Execution System (MES) to be relevant for a business process model that provided a useful and simplified visualization of production process data. The model communicated the detailed business data in an easily understandable way to stakeholders. AMA4EA is an innovative and novel method that contributes new knowledge to EA research. The demonstration provides sufficient evidence that AMA4EA is useful and applicable in the Industry 4.0 environment

Business Capability Mining - Opportunities and Challenges

Business capability models are widely used in enterprise architecture management to generate an abstract overview of an organization’s business activities to reach its business objectives. The creation and maintenance of these models are associated with a huge manual workload. Research provides insights into opportunities for automated modeling of enterprise architecture models. However, most models address the application and technology layer and leave the business layer largely unexplored. Particularly, no research has been conducted on the automated generation of business capability models. This research paper uses 19 semi-structured expert interviews to identify possible automated modeling opportunities of business capabilities and related challenges and to jointly develop a business capability mining approach. This research benefit both, practice and research, by describing a situation-based business capability mining approach and identifying appropriate implementation scenarios

The proposed alignment framework in enterprise architecture development for the Omani public sector

The misalignment between Enterprise Architecture (EA) development and stakeholders’ goals plays a vital role in the low acceptance of EA in organizations and governments. Literature has highlighted the need for an alignment framework to support enterprise architects to align the development process of EA with the stakeholders’ goals. Hence, this research developed an alignment framework to align the EA development process with the stakeholders to produce an agreed architecture that supports the architects. Multiple Perspectives Theory (MPT) was used to develop a preliminary research model that provided the initial guidance in data collection and analysis. The research employed a qualitative case study approach to build an in-depth understanding of EA development process, enterprise architects and stakeholders’ roles, as well as the factors influencing the alignment between them. The Government Architecture Framework (GAF) of the Omani public sector was used as the case study that included GAF documentation review, and interviews with architects and stakeholders who participated in the development of GAF. The findings showed that twelve alignment factors influenced the development of GAF which are standardization, development scope, principles, governance, top management support, culture, commitment, awareness, communication, value of EA, change management capability and experience. These factors were used as the base to develop the alignment framework followed by a focus group session with GAF architects was organized to validate the final framework. As a conclusion, the study has shown that the alignment framework provides a comprehensive understanding for practitioners and academicians about the factors and their influences at each EA development step

Organic transformation of ERP documentation practices: Moving from archival records to dialogue-based, agile throwaway documents

Implementing enterprise resource planning (ERP) systems remains challenging and requires organizational changes. Given the scale and complexity of ERP projects, documentation plays a crucial role in coordinating operational details. However, the emergence of the agile approach raises the question of how adequate lightweight documentation is in agile ERP implementation. Unfortunately, both academia and industry often overlook the natural evolution of documentation practices. This study examines current documentation practices through interviews with 23 field experts to address this oversight. The findings indicate a shift in documentation practices from retrospective approaches to dialogue-based, agile throwaway documents, including audiovisual recordings and informal emails. Project managers who extensively engage with throwaway documents demonstrate higher situational awareness and greater effectiveness in managing ERP projects than those who do not. The findings show an organic transformation of ERP documentation practices. We redefine documentation to include unstructured, relevant information across different media, emphasizing searchability. Additionally, the study offers two vignettes for diverse organizational contexts to illustrate the best practices of agile ERP projects.Organic transformation of ERP documentation practices: Moving from archival records to dialogue-based, agile throwaway documentspublishedVersionPaid open acces