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1. |
Record Nr. |
UNINA9910826619203321 |
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Autore |
Gardiner Paul |
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Titolo |
Evolutionary learning in strategy-project systems / / Paul Gardiner [and six others] ; foreword by Ed Hoffman ; technical editor, David Ling |
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Pubbl/distr/stampa |
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Newtown Square, Pennsylvania : , : Project Management Institute, Inc., , [2018] |
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©2018 |
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ISBN |
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1-5231-1776-1 |
1-62825-485-8 |
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Edizione |
[1st edition] |
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Descrizione fisica |
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1 online resource (296 pages) |
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Collana |
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Disciplina |
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Soggetti |
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Project management |
Knowledge management |
Organizational learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references. |
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Sommario/riassunto |
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What does a successful knowledge management practitioner do? Evolutionary Learning in Strategy-Project Systems explores the gap between the theory and practice of knowledge management in organizations and analyzes how learning happens and how knowledge is created. The authors take a practitioner-driven approach, one that unites organizational strategy with the learning of organizational lessons—the kind of knowledge management that enhances project performance and ultimately business success. Through a survey of the literature and an analysis of original case-study research, Evolutionary Learning in Strategy-Project Systems develops a model of learning capability that proceeds exactly as its title implies, not as a line, but as a cycle—from codifying individual knowledge and putting it into practice within a context that values social relationships and networks. The conclusions offered in this book build on the rethinking of project management literature in today’s world—creating a strategy-project learning model that not only improves current knowledge capabilities, but also develops new ones. |
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2. |
Record Nr. |
UNINA9910557359603321 |
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Autore |
Surace Cecilia |
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Titolo |
Novel Approaches for Structural Health Monitoring |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
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Descrizione fisica |
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1 online resource (344 p.) |
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Soggetti |
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Technology: general issues |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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The thirty-plus years of progress in the field of structural health monitoring (SHM) have left a paramount impact on our everyday lives. Be it for the monitoring of fixed- and rotary-wing aircrafts, for the preservation of the cultural and architectural heritage, or for the predictive maintenance of long-span bridges or wind farms, SHM has shaped the framework of many engineering fields. Given the current state of quantitative and principled methodologies, it is nowadays possible to rapidly and consistently evaluate the structural safety of industrial machines, modern concrete buildings, historical masonry complexes, etc., to test their capability and to serve their intended purpose. However, old unsolved problematics as well as new challenges exist. Furthermore, unprecedented conditions, such as stricter safety requirements and ageing civil infrastructure, pose new challenges for confrontation. Therefore, this Special Issue gathers the main contributions of academics and practitioners in civil, aerospace, and mechanical engineering to provide a common ground for structural health monitoring in dealing with old and new aspects of this ever-growing research field. |
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