With information technologies becoming available on a growing scale, capturing large amounts of building information is becoming cheaper and economically viable. This is creating new challenges for real estate management organisations. Producing digital assets is one thing, managing them and knowing how to use them is another. The information management tasks and responsibilities of real estate management organisations therefore are becoming challenging and complex at the same time. Not in the least by the fact that in many situations, maintenance activities are outsourced to contractors and sub-contractors, creating maintenance networks. While building register information may be produced in the first place to fulfil the building owner’s needs, this research assumes building registers could also contribute to innovation in the greater maintenance network if the right form of data governance can be implemented. This paper, which is part of a larger research project, presents a research approach for investigating such governance designs for building registers. The approach is based on a qualitative research approach because it aims to address the stakeholders interests adequately and produce findings that are meaningful to all stakeholders for improving data governance in professional practice. Within a multiple case study methodology, an embedded case study design is presented that may provide a useful guide for researchers in this field. The proposed methodology will be used to conduct four in depth case studies. The intended outcome of this research is a theoretical framework that integrates data governance design factors with network innovation effects. It can be used to guide the design of (inter)organisational data governance programmes in maintenance networks.
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Executive Summary - Temperatures across the Middle East region are predicted to increase by 3°C by 2050 - Warming will be felt more in cities because of the urban heat island (UHI) effect, causing heat-related health problems - City planning and management regimes are often disconnected from disaster risk and resilience building and legislation is lacking - Lacking data and information sharing across multiple levels of governance hamper heatwave warning systems - Urban building projects lead to a soaring demand for cooling systems - Traditional adaptations such as street grid design, wind catchers and mashrabiya screens could be used more - Policy response should include national Heat Health Action Plans that are translated into Local Heat Plans, coordinated and implemented by local governments
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Proper decision-making is one of the most important capabilities of an organization. Therefore, it is important to have a clear understanding and overview of the decisions an organization makes. A means to understanding and modeling decisions is the Decision Model and Notation (DMN) standard published by the Object Management Group in 2015. In this standard, it is possible to design and specify how a decision should be taken. However, DMN lacks elements to specify the actors that fulfil different roles in the decision-making process as well as not taking into account the autonomy of machines. In this paper, we re-address and-present our earlier work [1] that focuses on the construction of a framework that takes into account different roles in the decision-making process, and also includes the extent of the autonomy when machines are involved in the decision-making processes. Yet, we extended our previous research with more detailed discussion of the related literature, running cases, and results, which provides a grounded basis from which further research on the governance of (semi) automated decision-making can be conducted. The contributions of this paper are twofold; 1) a framework that combines both autonomy and separation of concerns aspects for decision-making in practice while 2) the proposed theory forms a grounded argument to enrich the current DMN standard.
