People and their relations are the hart of success of every organization. Although there are no studies that directly relate company success to the happiness of the workforce, it is common sense that communities which are over longer periods working under tension are most likely to be less productive. Next to this „modernistic‟ line of reasoning, from an ethical point of view humane ways of organizing, in contrast to inhuman ways, seem at first sight essential for the well being our society.
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The digital age has brought significant changes in the way organizations operate and compete. As a result of rapid technology development, many organizations are undergoing a digital transformation to stay relevant and competitive in the marketplace. This literature review aims to find future research topics by providing an overview of the current state of research on organizations in digital transformation (ODT), especially on malleable organization design and HRM aspects. The article begins by defining digital transformation (DT), and then examines how organizations change during DT, before delving into the perspectives of malleable organization design and HRM. Finally, it concludes by identifying gaps in the literature and suggesting a research agenda for future. Overall, organizational factors that need more investigation are highlighted to tackle complexities of ODT for further research.
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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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