Abstract Healthcare organizations operate within a network of governments, insurers, inspection services and other healthcare organizations to provide clients with the best possible care. The parties involved must collaborate and are accountable to each other for the care provided. This has led to a diversity of administrative processes that are supported by a multi-system landscape, resulting in administrative burdens among healthcare professionals. Management methods, such as Enterprise Architecture (EA), should help to develop and manage such landscapes, but they are systematic, while the network of healthcare parties is dynamic. The aim of this research is therefore to develop an EA framework that fits the dynamics of network organizations (such as long-term healthcare). This research proposal outlines the practical and scientific relevance of this research and the proposed method. The current status and next steps are also described.
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In dynamic and competitive environment, the importance of innovation is accepted as a necessary ingredients for firms to create value and sustain competitive advantage. However, very little empirical research has specifically addressed to what extent different kinds of innovation rely on specific knowledge management processes and entrepreneurial orientation. The objective of this study is to identify the different types of innovation that are predominant in companies, and how to facilitate different types of innovation activities. A questionnaire survey was conducted and 169 valid replies were received. This research analyzes the relationship among knowledge management processes, as well as entrepreneurial orientation and different types of innovation. The results from an empirical survey study reveal that organizations facilitate different types of innovation (i.e., administrative versus technical innovation) through entrepreneurial orientation and knowledge management process (i.e., knowledge acquisition, knowledge sharing and knowledge application). The results also show that the partial mediating role of knowledge management processes in the relationship between entrepreneurial orientation and different types of innovation.
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This report presents research on success factors of learning communities with a case study of the Innovation Lab Hanze International Business Office (further – Innovation Lab HIBO) at Hanze University of Applied Sciences Groningen, the Netherlands. The research project is a part of the broader research programme on innovation of education and the success factors of learning communities carried on by a number of researchers at Hanze University of Applied Sciences Groningen (further – Hanze University AS).In answering the main research question on success factors of learning communities and, specifically, the Innovation Lab HIBO, two sub-questions were formulated: the first deals with school level expectations about the Innovation Lab HIBO, whereas the second explores what are the institutional expectations and guidelines regarding living labs at Hanze University AS. The research focus is on formalised expectations about the goals and outcomes of living labs, as attaining the established goals and outcomes would testimony a successful activity of a living lab. The factors that facilitate or determine whether the goalsand outcomes of living labs are achieved are therefore the success factors.The analysis of both school level expectations about the Innovation Lab HIBO and the institutional expectations and guidelines regarding living labs reveals a number of success factors, conditions, and preconditions. As these do not coincide, it is argued that finding the right balance between local, school level, expectations and the institutional goals is crucial for the successful performance of living labs. Another important factor for successful performance of the living lab and, specifically the Innovation Lab HIBO, is development of a learning community. This process would require strengthening of an open organisationalculture and facilitation of exchange of ideas and learning process.The research project was carried on in the period from February 1, 2020, till August 30, 2020. From September 2020 the follow up research is planned into operationalization of success factors, definition of performance criteria, performance evaluation, development of suggestions for improvement of performance, and development of a blueprint for the establishment of innovation labs.
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