124,522 research outputs found

    Cultural Transformation in Health Care

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    Describes the role of organizational culture in healthcare organizations. Recommends strategies for innovative approaches to improve the overall performance of the U.S. healthcare system

    Knowledge sharing as spontaneous order : on the emergence of strong and weak ties

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    Knowledge Management in the Learning Economy

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    The purpose of this paper is to show why to build ‘learning organisations’ must be a central element of knowledge management. The paper argues that the wide use of information technology has a contradictory impact on knowledge management. On the one hand it extends the potential for codifying knowledge. On the other hand it makes tacit knowledge scarcer and it contributes to the formation of ‘a learning economy’. The argument is supported by an empirical analysis of survey data from Denmark showing that firms that introduce several organisational practices, assumed to characterise the learning organisation, are more innovative than the average firm. The paper contributes to the empirical foundation for the argument that learning organisations stimulate innovation and competence building and it makes an original conceptual contribution of practical relevance by linking knowledge management to HRM and innovation management.Knowledge management, learning economy, interactive learning, organisational change

    Adaptive Process Management in Cyber-Physical Domains

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    The increasing application of process-oriented approaches in new challenging cyber-physical domains beyond business computing (e.g., personalized healthcare, emergency management, factories of the future, home automation, etc.) has led to reconsider the level of flexibility and support required to manage complex processes in such domains. A cyber-physical domain is characterized by the presence of a cyber-physical system coordinating heterogeneous ICT components (PCs, smartphones, sensors, actuators) and involving real world entities (humans, machines, agents, robots, etc.) that perform complex tasks in the “physical” real world to achieve a common goal. The physical world, however, is not entirely predictable, and processes enacted in cyber-physical domains must be robust to unexpected conditions and adaptable to unanticipated exceptions. This demands a more flexible approach in process design and enactment, recognizing that in real-world environments it is not adequate to assume that all possible recovery activities can be predefined for dealing with the exceptions that can ensue. In this chapter, we tackle the above issue and we propose a general approach, a concrete framework and a process management system implementation, called SmartPM, for automatically adapting processes enacted in cyber-physical domains in case of unanticipated exceptions and exogenous events. The adaptation mechanism provided by SmartPM is based on declarative task specifications, execution monitoring for detecting failures and context changes at run-time, and automated planning techniques to self-repair the running process, without requiring to predefine any specific adaptation policy or exception handler at design-time

    Integration of decision support systems to improve decision support performance

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    Decision support system (DSS) is a well-established research and development area. Traditional isolated, stand-alone DSS has been recently facing new challenges. In order to improve the performance of DSS to meet the challenges, research has been actively carried out to develop integrated decision support systems (IDSS). This paper reviews the current research efforts with regard to the development of IDSS. The focus of the paper is on the integration aspect for IDSS through multiple perspectives, and the technologies that support this integration. More than 100 papers and software systems are discussed. Current research efforts and the development status of IDSS are explained, compared and classified. In addition, future trends and challenges in integration are outlined. The paper concludes that by addressing integration, better support will be provided to decision makers, with the expectation of both better decisions and improved decision making processes

    The changing face of innovation policy: implications for the Northern Ireland economy

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    Enlarging the scale of knowledge in innovation networks: theoretical perspectives and policy issues

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    Nowadays, it is widely accepted that knowledge and learning are the core of competitiveness, international division of labour and agglomeration and exclusion phenomena. Yet we are still in need of a better understanding of the processes which allow access by individual regions both to codified knowledge and RTD networks as well as tacit knowledge and know-how at the international/interregional level. This paper will discuss possible approaches to analyze the mechanisms which operate at the international/interregional level and lead to higher forms of integration of industrial and service firms, not only in a commercial or financial perspective but also in knowledge and innovation networks. It will point to a need to develop policy strategies in support of institutions that create and transfer knowledge on a European scale and outline open questions for the creation of the necessary institutional background for the creation and the support of knowledge and innovation networks at this level and for the conditions of its transferability to Objective 1 regions and the EU candidate countries.

    Supporting adaptiveness of cyber-physical processes through action-based formalisms

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    Cyber Physical Processes (CPPs) refer to a new generation of business processes enacted in many application environments (e.g., emergency management, smart manufacturing, etc.), in which the presence of Internet-of-Things devices and embedded ICT systems (e.g., smartphones, sensors, actuators) strongly influences the coordination of the real-world entities (e.g., humans, robots, etc.) inhabitating such environments. A Process Management System (PMS) employed for executing CPPs is required to automatically adapt its running processes to anomalous situations and exogenous events by minimising any human intervention. In this paper, we tackle this issue by introducing an approach and an adaptive Cognitive PMS, called SmartPM, which combines process execution monitoring, unanticipated exception detection and automated resolution strategies leveraging on three well-established action-based formalisms developed for reasoning about actions in Artificial Intelligence (AI), including the situation calculus, IndiGolog and automated planning. Interestingly, the use of SmartPM does not require any expertise of the internal working of the AI tools involved in the system
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