Presented at the 14th 14th European Conference on Management, Leadership and Governance ECMLG 2018: From the article: "Abstract: Scientific literature and practices emphasize that organizations have to align their business strategies with their IT strategy. Strategic alignment of business with IT in organizations is not only a prerequisite for organizations to be successful or competitive but also positively influences IT effectiveness and leads to greater profitability. At the same time organizations have been struggling for a long time with the concept of strategic alignment. In this paper an enhanced concept of strategic alignment is given in such a way that organizations can practically use to align their business and IT. Based on scientific research in this study the existing concept of strategic alignment model, i.e. the relationship between business and IT, was enhanced by placing the discipline of information management between business and IT and thus making information management responsible for the alignment or linking of business with IT. This conceptually enhanced concept of strategic alignment was practically enhanced even further with the use of the Business information Service Library (BiSL) framework. This framework links business with IT on the strategically, managing and operational level of an organization. The BiSL process framework thus provides an description of the information management processes on the different levels of an organization that have to be implemented and carried out to achieve strategic alignment within an organization. With the support of three experts in the field of information management and BiSL, an enhanced Strategic Alignment Model was constructed. To validate this model 25 semi-structured interviews were conducted in eleven organizations. The results of these interviews show not only a strong and solid support for adding information management to the existing concept of strategic alignment but also indicate a strong and solid support for the use of the BiSL framework for implementing information management. These findings support the notion that the BiSL enhanced Strategic Alignment Model not only provides a conceptually enhanced strategic alignment model but also provides organizations with a concept of strategic alignment that organization can practically use to align their business with IT."
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In 2015, the Object Management Group published the Decision Model and Notation with the goal to structure and connect business processes, decisions and underlying business logic. Practice shows that several vendors adopted the DMN standard and (started to) integrate the standard with their tooling. However, practice also shows that there are vendors who (consciously) deviate from the DMN standard while still trying to achieve the goal DMN is set out to reach. This research aims to 1) analyze and benchmark available tooling and their accompanied languages according to the DMN-standard and 2) understand the different approaches to modeling decisions and underlying business logic of these vendor specific languages. We achieved the above by analyzing secondary data. In total, 22 decision modelling tools together with their languages were analyzed. The results of this study reveal six propositions with regards to the adoption of DMN with regards to the sample of tools. These results could be utilized to improve the tools as well as the DMN standard itself to improve adoption. Possible future research directions comprise the improvement of the generalizability of the results by including more tools available and utilizing different methods for the data collection and analysis as well as deeper analysis into the generation of DMN directly from tool-native languages.
Artificial Intelligence (AI) offers organizations unprecedented opportunities. However, one of the risks of using AI is that its outcomes and inner workings are not intelligible. In industries where trust is critical, such as healthcare and finance, explainable AI (XAI) is a necessity. However, the implementation of XAI is not straightforward, as it requires addressing both technical and social aspects. Previous studies on XAI primarily focused on either technical or social aspects and lacked a practical perspective. This study aims to empirically examine the XAI related aspects faced by developers, users, and managers of AI systems during the development process of the AI system. To this end, a multiple case study was conducted in two Dutch financial services companies using four use cases. Our findings reveal a wide range of aspects that must be considered during XAI implementation, which we grouped and integrated into a conceptual model. This model helps practitioners to make informed decisions when developing XAI. We argue that the diversity of aspects to consider necessitates an XAI “by design” approach, especially in high-risk use cases in industries where the stakes are high such as finance, public services, and healthcare. As such, the conceptual model offers a taxonomy for method engineering of XAI related methods, techniques, and tools.
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