Applying Design Science Research for Enterprise Architecture Business Value Assessments

Design Science Evaluation for Enterprise Architecture Business Value Assessments

“…1 illustrates the main focus of this paper: the evaluation phase of Design Artifacts. Details on our DSR methodology, refer to [15,16].…”

Engaging Practitioners within Design Science Research: A Natural Language Processing Case Study

“…ML on the other hand utilizes algorithms to train on annotated text and automatically generate extraction rules 2 . IE applications in specialized information domains such as financial, business, medical or biology are hugely reliant on this domain knowledge to define the conceptually complex information sought 3 . Central to any KE successful design is the process used to formally represent that knowledge and its decomposition into manageable sub-processes.…”

“…As illustrated in Figure 1, the IS framework employed is based on Henvers [2] original three cycle view of DSR and recent model modification to cater for its application to business value assessment for Enterprise Architectures [3]. The Environment consists of the company's application domain, organizational strategy, processes and technology and applicable stakeholders.…”

“…Section 4). Adhering to design-orientated information systems research process principles [4], and design-science research guidelines [1], our methodology in keeping with Meyer [3], centers on the intended application environment, artifact development and its changing nature throughout the research process. Key to our contribution and in similar vain to Wieringa [5], is the application of DSR's nested problems decomposition approach to research project structuring, allowing research methodology stages enrichment with researcher artifact output and its alignment with existing practitioner artifact output.…”

“…Ensuring that research activity remain practicable and relevant while at the same time delivering a quantifiable research contribution to the knowledge base, demands artifacts that satisfies both research partner and industrial practitioner expectations. Overlap do exist; both Design Science and an application domain environment produce results of knowledge and artifacts as models, constructs, methods and instantiations [1][2][3]. Introducing clarity between researchers on the one hand and practitioners on the other requires that adequate collaborative engagement takes place supported by rigorous procedures that satisfy expected solution artifact delivery.…”