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Paperback or Softback. Condition: New. Strategic Knowledge Management & Innovation, A Process Perspective: Knowledge Management process & Organizational Creativity and Innovation. Book.
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Published by Information Science Reference, 2010
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Published by LAP LAMBERT Academic Publishing, 2011
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Taschenbuch. Condition: Neu. Knowledge Management for Innovation in Design | Modelling knowledge dynamics for the innovation in engineering design process | Jing Xu | Taschenbuch | 220 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783847320296 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Published by Springer Nature Singapore, 2020
ISBN 10: 9811597928 ISBN 13: 9789811597923
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Condition: Hervorragend. Zustand: Hervorragend | Seiten: 328 | Sprache: Englisch | Produktart: Bücher | This book establishes constructivist, interpretivist, and linguistic approaches based on conventions about the nature of qualitative and text data, the authorżs influence on text interpretation, and the validity checks used to justify text interpretations. Vast quantities of text and qualitative data in organizations often go unexplored. Text analytics outlined in this book allow readers to understand the process of converting unstructured text data into meaningful data for analysis in order to measure employee opinions, feedback, and reviews through sentiment analysis to support fact-based decision making. The methods involve using NVivo and RapidMiner software to perform lexical analysis, categorization, clustering, pattern recognition, tagging, annotation, memo creation, information extraction, association analysis, and visualization. The methodological approach in the book uses innovation theory as a sensitizing concept to lay the foundation for the analysis of research data, suggesting approaches for empirical exploration of organizational learning, knowledge management, and innovation practices amongst geographically dispersed individuals and team members. Based on data obtained from a private educational organization that has offices dispersed across Asia through focus group discussions and interviews on these topics, the author highlights the need for integrating organizational learning, knowledge management, and innovation to improve organizational performance, exploring perspectives on collective relationships and networks, organizational characteristics and structures, and tacit and overt values which influence such innovation initiatives. In the process, the author puts forward a new theory which is built on three themes: relationship and networks, knowledge sharing mechanisms, and the role of social cognitive schema that facilitate emergent learning, knowledge management, and innovation.
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Taschenbuch. Condition: Neu. Knowledge Management in the Innovation Process | Dominique Foray (u. a.) | Taschenbuch | xii | Englisch | 2012 | Springer US | EAN 9781461356028 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Published by Kluwer Academic Publishers, 2001
ISBN 10: 0792374649 ISBN 13: 9780792374640
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Condition: New. Brings together economic, social, measurement and policy views on these critical issues. This tells the story of the dynamic interplay between knowledge and innovation with an eye to developing tools and frameworks for managing knowledge for social and economic benefit. Editor(s): Mothe, John R. de la; Foray, Dominique. Series: Economics of Science, Technology and Innovation. Num Pages: 262 pages, biography. BIC Classification: KCM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 234 x 156 x 17. Weight in Grams: 571. . 2001. Hardback. . . . .
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2020
ISBN 10: 9811597928 ISBN 13: 9789811597923
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book establishes constructivist, interpretivist, and linguistic approaches based on conventions about the nature of qualitative and text data, the author's influence on text interpretation, and the validity checks used to justify text interpretations. Vast quantities of text and qualitative data in organizations often go unexplored. Text analytics outlined in this book allow readers to understand the process of converting unstructured text data into meaningful data for analysis in order to measure employee opinions, feedback, and reviews through sentiment analysis to support fact-based decision making. The methods involve using NVivo and RapidMiner software to perform lexical analysis, categorization, clustering, pattern recognition, tagging, annotation, memo creation, information extraction, association analysis, and visualization.The methodological approach in the book uses innovation theory as a sensitizing concept to lay the foundation for the analysis of research data, suggesting approaches for empirical exploration of organizational learning, knowledge management, and innovation practices amongst geographically dispersed individuals and team members. Based on data obtained from a private educational organization that has offices dispersed across Asia through focus group discussions and interviews on these topics, the author highlights the need for integrating organizational learning, knowledge management, and innovation to improve organizational performance, exploring perspectives on collective relationships and networks, organizational characteristics and structures, and tacit and overt values which influence such innovation initiatives. In the process, the author puts forward a new theory which is built on three themes: relationship and networks, knowledge sharing mechanisms, and the role of social cognitive schema that facilitate emergent learning, knowledge management, and innovation.
Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811597952 ISBN 13: 9789811597954
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book establishes constructivist, interpretivist, and linguistic approaches based on conventions about the nature of qualitative and text data, the author's influence on text interpretation, and the validity checks used to justify text interpretations. Vast quantities of text and qualitative data in organizations often go unexplored. Text analytics outlined in this book allow readers to understand the process of converting unstructured text data into meaningful data for analysis in order to measure employee opinions, feedback, and reviews through sentiment analysis to support fact-based decision making. The methods involve using NVivo and RapidMiner software to perform lexical analysis, categorization, clustering, pattern recognition, tagging, annotation, memo creation, information extraction, association analysis, and visualization.The methodological approach in the book uses innovation theory as a sensitizing concept to lay the foundation for the analysis of research data, suggesting approaches for empirical exploration of organizational learning, knowledge management, and innovation practices amongst geographically dispersed individuals and team members. Based on data obtained from a private educational organization that has offices dispersed across Asia through focus group discussions and interviews on these topics, the author highlights the need for integrating organizational learning, knowledge management, and innovation to improve organizational performance, exploring perspectives on collective relationships and networks, organizational characteristics and structures, and tacit and overt values which influence such innovation initiatives. In the process, the author puts forward a new theory which is built on three themes: relationship and networks, knowledge sharing mechanisms, and the role of social cognitive schema that facilitate emergent learning, knowledge management, and innovation.
Language: English
Published by Springer US, Springer New York, 2012
ISBN 10: 1461356024 ISBN 13: 9781461356028
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - It is now widely recognized that many of the central unresolved problems in economic policy, management and research turn on questions of knowledge. Increasingly, complex firms and agencies must ask, and answer, such difficult questions as: What is knowledge Where is it Who has it Does the organization lose or gain competitive advantage or effectiveness by sharing knowledge Where can we find the knowledge we need How can we measure knowledge In a knowledge-based economy, these queries are integral to the pursuits of every policy maker, analyst and strategist. Knowledge Management in The Innovation Process - a joint project between Statistics Canada and Program of Research on Innovation Management and Economy (PRIME) at the University of Ottawa - brings together economic, social, measurement and policy views on these critical issues. This project fits into an ongoing research program at Statistics Canada to develop meaningful indicators for science, technology and innovation in a technology-intensive economy. It also fits into the ongoing program at PRIME to better understand technology policy and innovation strategy. This book tells the story of the dynamic interplay between knowledge and innovation with an eye to developing tools and frameworks for managing knowledge for social and economic benefit.