Abstract Despite the numerous business benefits of data science, the number of data science models in production is limited. Data science model deployment presents many challenges and many organisations have little model deployment knowledge. This research studied five model deployments in a Dutch government organisation. The study revealed that as a result of model deployment a data science subprocess is added into the target business process, the model itself can be adapted, model maintenance is incorporated in the model development process and a feedback loop is established between the target business process and the model development process. These model deployment effects and the related deployment challenges are different in strategic and operational target business processes. Based on these findings, guidelines are formulated which can form a basis for future principles how to successfully deploy data science models. Organisations can use these guidelines as suggestions to solve their own model deployment challenges.
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The first part of this paper will start with an introduction of the general context of the education system in The Netherlands. This is followed by a presentation of the general characteristics of the teacher education system, of the balance between school autonomy and government control, and of the general policies concerning teacher quality. The second part will give an elaboration of the system of teacher education by introducing five major developments that have shaped teacher education in the past twenty years, and by giving a more detailed description of each type of teacher education. In the third part, I reflect on the role of the government in steering innovations and quality improvement in the area of teacher education
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Since an increasing amount of business decision/logic management solutions are utilized, organizations search for guidance to design such solutions. An important aspect of such a solution is the ability to guard the quality of the specified or modified business decisions and underlying business logic to ensure logical soundness. This particular capability is referred to as verification. As an increasing amount of organizations adopt the new Decision Management and Notation (DMN) standard, introduced in September 2015, it is essential that organizations are able to guard the logical soundness of their business decisions and business logic with the help of certain verification capabilities. However, the current knowledge base regarding verification as a capability is not yet researched in relation to the new DMN standard. In this paper, we re-address and - present our earlier work on the identification of 28 verification capabilities applied by the Dutch government [1]. Yet, we extended the previous research with more detailed descriptions of the related literature, findings, and results, which provide a grounded basis from which further, empirical, research on verification capabilities with regards to business decisions and business logic can be explored.
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Due to the changing technological possibilities of services, the demands that society places on the level of service provided by the Dutch Central Government (DCG) are changing rapidly. To accommodate this, the Dutch government is improving its processes in such a way that they become more agile and are continuously improved. However, the DCG struggles with the implementation of improvement tools that can support this. The research described in this paper aims to deliver key factors that influence the adoption of tools that improve the agile way of working and continuous improvement at the DCG. Therefore, a literature review has been conducted, from which 24 factors have been derived. Subsequently, 9 semi structured interviews have been conducted to emphasize the perspective of employees at the DCG. In total, 7 key factors have been derived from the interviews. The interviewees consisted of both employees from departments who already worked with tools to improve agile working and continuous improvement as well as employees from departments who haven’t used such tools yet. An important insight based on this research is that the aims, way of working and scope of the improvement tools must be clear for all the involved co-workers
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Proper decision making represent one of an organization’s most important capabilities. To manage decisions and underlying business rules, an increasing number of organizations have begun to use business rules management (BRM). However, given BRM research’s and practice’s nascence, we need to more deeply understand the challenges in implementing BRM capabilities. As such, from collecting and analyzing two three-round focus groups and two three-round Delphi studies, we identified 28 main challenges that five Dutch governmental institutions experienced in eliciting, designing, and specifying business rules. We also discuss directions for future research.
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From the article: Abstract Since decision management is becoming an integrated part of business process management, more and more decision management implementations are realized. Therefore, organizations search for guidance to design such solutions. Principles are often applied to guide the design of information systems in general. A particular area of interest when designing decision management solutions is compliance. In an earlier published study (Zoet & Smit, 2016) we took a general perspective on principles regarding the design of decision management solutions. In this paper, we re-address our earlier work, yet from a different perspective, the compliance perspective. Thus, we analyzed how the principles can be utilized in the design of compliant decision management solutions. Therefore, the purpose of this paper is to specify, classify, and validate compliance principles. To identify relevant compliance principles, we conducted a three round focus group and three round Delphi Study which led to the identification of eleven compliance principles. These eleven principles can be clustered into four categories: 1) surface structure principles, 2) deep structure principles, 3) organizational structure principles, and 4) physical structure principles. The identified compliance principles provide a framework to take into account when designing information systems, taking into account the risk management and compliance perspective.
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ABSTRACT. It is now generally accepted that the quality of the regulatory arrangements should be appraised not only by looking at the institutional design, but also by evaluating the factual enforcement and implementation of regulations. It is therefore advised that national governments take a more active stance in supervising the regulatory enforcement by different regulatory agencies. However, in some cases, government’s activism might be an impeding factor in regulatory enforcement. That this is not so crazy idea shows the analysis of the regulatory enforcement by Lithuanian Competition Authority in the area of competition policy during the years of integration to the European Union. For example, not only political and financial independence of the Competition Authority was difficult to establish, but also functions and competences of the regulatory agency were changed a number of times, which hampered the effectiveness of the agency’s performance while enforcing the competition law. In addition to often changes of functions, also the scope of competences was changing. As a result, the variety of tasks attributed to the Lithuanian Competition Authority caused the growing overload of work, which further hindered its regulatory practice. The question is who can be blamed for that? Was it just the inexperience of the government who was seeking for the best institutional design and could not stop with redesigning the regulatory agency or was it the intentional behaviour guided by some concrete interests as a result of a regulatory capture? The analysis of the regulatory enforcement during the period of 15 years does not allow for disregarding of the second possibility.
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In the dynamic environment of increasing regulations, increasing patient demand, decentralization of budgets and enforcement of efficiency, small sized healthcare institutions in the Netherlands are having a difficult time. Although these service providers are usually capable of flexibly delivering healthcare, the investment and overhead for implementing and executing on required quality management standards like ISO 9001 is difficult. In this paper we construct a method for the implementation of an IT-enabled quality management system for small sized healthcare institutions, which is applied through case study. The case organisation provides intra- and extramural care for mentally handicapped persons and young adults with a psychiatric disorder. The quality management system implementation is based on 1) a lightweight IT infrastructure (based at a secure data centre and accessible through remote login) implying secure storage of patients' medical and personal information. Furthermore, the Deming (Deming, 1982) cycle enabled processes and protocols are 2) described in an e-handbook and prototyped via an open source process management system which supports the quality regulation demanded for providing care to patients. The case study supports the validity of our method and the fact that small sized healthcare institutions are able to execute their care while adhering to ISO 9001-like standards, with limited initial costs and relatively low cost of ownership
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This report is the result of a research interest stemming from the case presented by the City of Budapest on the misalignment between EU funding opportunities and the interdependence of the national government. The main research question was “Which channels exist for a local or regional government to access EU funding directly, without the need for interference of the national government?”. Recent political developments in Hungary have led to an increasing amount of budgetary challenges for the City of Budapest. Besides domestic factors, the European Commission’s decision to suggest to withhold cohesion and RRF funds to Hungary raises the question of what different avenues of direct EU funding instruments might be at the city’s disposal. Therefore, the aim of this research is to provide recommendations on what avenues the City of Budapest might want to invest in in terms of advocacy activities on the EU level. We first conducted a desk research, mapping the current landscape of EU funding instruments under the direct management of the EU (the overview can be found in the appendix). Secondly, ten interviews were conducted in October and November 2022 with several multi-level stakeholders from the European Parliament, the European Commission, the umbrella organisation of cities in the European Union ‘Eurocities’, a Hungarian journalist and a regional representation in Central-Eastern Europe. Based on these conversations, we identified five main findings with corresponding recommendations for action.
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This booklet presents twenty-one impact stories of Ethiopian and Kenyan alumni of Dairy (Livestock) trainings in the Netherlands. The Dutch trainings consists of Master courses conducted by Van Hall Larenstein University of Applied Sciences (VHL) in Wageningen or Velp, short courses or diploma courses organised by Practical Trainings Centre (PTC+) in Oenkerk or Barneveld / Dairy Trainings Centre (DTC) in Oenkerk and short courses organised by Centre of Development Innovation – part of Wageningen University and Research Centre (WUR) in Wageningen. Most refresher course participants attended the Dutch trainings between 2010 and 2018. These alumni attended the Refresher Course entitled “Assessing the impact of Dutch knowledge institutions on performance of Netherlands alumni on dairy value chain governance in Kenya and Ethiopia” organised by Van Hall Larenstein University of Applied Sciences (VHL), Agrikom (alumni organisation) and Egerton University on 7-16 July 2019 in Nairobi and Nakuru, Kenya. Part of the refresher course was dedicated to a write shop about the impact of the Dutch training. It was written in collaboration with the professorship Climate Smart Dairy Value Chains.
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