Synopsis
Knowledge Integration (KI) means solving the problem created by specialization. Contemporary firms specialize as per their knowledge base. Specialized firms engage in formation of business networks, to enhance value-offering to customers. However, despite the fact that authors have stressed upon the need to developing understanding and models of KI in a business network, very few studies have appeared till date and none of them have studied the process. Hence, the aim of this research is to study the process of KI in a business network. A large business network consisting of 9 actors was selected for the study, for a period of 9 months. Some interesting findings have resulted from this study, firstly that the type of knowledge becomes an important criterion for KI to happen among the actors. Secondly, the process of KI in a business network depends on the objective for which the business network has been formed. Thirdly, trust, task, and dependency play an important role. The uniqueness of the study lies in the fact that a new classification of knowledge is more appropriate for the study of business networks, thus generating an alternate model of KI which is much closer to reality
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About the Author
Prof. Shalini R. Tiwari is an Assistant Professor at IMT, Ghaziabad. She is an FPM (Ph.D) from MDI, Gurgaon & has completed FDPM from IIM, Ahmedabad. She has more than 15 years of experience in academics, research & industry. she has published widely in international and national journals. She is a reviewer to many reputed journals and conferences.
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Dynamics of Knowledge Integration
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LAP LAMBERT Academic Publishing Aug 2011, 2011
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Knowledge Integration (KI) means solving the problem created by specialization. Contemporary firms specialize as per their knowledge base. Specialized firms engage in formation of business networks, to enhance value-offering to customers. However, despite the fact that authors have stressed upon the need to developing understanding and models of KI in a business network, very few studies have appeared till date and none of them have studied the process. Hence, the aim of this research is to study the process of KI in a business network. A large business network consisting of 9 actors was selected for the study, for a period of 9 months. Some interesting findings have resulted from this study, firstly that the type of knowledge becomes an important criterion for KI to happen among the actors. Secondly, the process of KI in a business network depends on the objective for which the business network has been formed. Thirdly, trust, task, and dependency play an important role. The uniqueness of the study lies in the fact that a new classification of knowledge is more appropriate for the study of business networks, thus generating an alternate model of KI which is much closer to reality 304 pp. Englisch. Seller Inventory # 9783845405391
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Dynamics of Knowledge Integration
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Tiwari Shalini RahulProf. Shalini R. Tiwari is an Assistant Professor at IMT, Ghaziabad. She is an FPM (Ph.D) from MDI, Gurgaon & has completed FDPM from IIM, Ahmedabad. She has more than 15 years of experience in academics, research. Seller Inventory # 5480691
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Dynamics of Knowledge Integration
Published by
LAP LAMBERT Academic Publishing Aug 2011, 2011
ISBN 10: 3845405392
ISBN 13: 9783845405391
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Taschenbuch
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Taschenbuch. Condition: Neu. Neuware -Knowledge Integration (KI) means solving the problem created by specialization. Contemporary firms specialize as per their knowledge base. Specialized firms engage in formation of business networks, to enhance value-offering to customers. However, despite the fact that authors have stressed upon the need to developing understanding and models of KI in a business network, very few studies have appeared till date and none of them have studied the process. Hence, the aim of this research is to study the process of KI in a business network. A large business network consisting of 9 actors was selected for the study, for a period of 9 months. Some interesting findings have resulted from this study, firstly that the type of knowledge becomes an important criterion for KI to happen among the actors. Secondly, the process of KI in a business network depends on the objective for which the business network has been formed. Thirdly, trust, task, and dependency play an important role. The uniqueness of the study lies in the fact that a new classification of knowledge is more appropriate for the study of business networks, thus generating an alternate model of KI which is much closer to realityBooks on Demand GmbH, Überseering 33, 22297 Hamburg 304 pp. Englisch. Seller Inventory # 9783845405391
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Dynamics of Knowledge Integration : Study of a large Network
Published by
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3845405392
ISBN 13: 9783845405391
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Knowledge Integration (KI) means solving the problem created by specialization. Contemporary firms specialize as per their knowledge base. Specialized firms engage in formation of business networks, to enhance value-offering to customers. However, despite the fact that authors have stressed upon the need to developing understanding and models of KI in a business network, very few studies have appeared till date and none of them have studied the process. Hence, the aim of this research is to study the process of KI in a business network. A large business network consisting of 9 actors was selected for the study, for a period of 9 months. Some interesting findings have resulted from this study, firstly that the type of knowledge becomes an important criterion for KI to happen among the actors. Secondly, the process of KI in a business network depends on the objective for which the business network has been formed. Thirdly, trust, task, and dependency play an important role. The uniqueness of the study lies in the fact that a new classification of knowledge is more appropriate for the study of business networks, thus generating an alternate model of KI which is much closer to reality. Seller Inventory # 9783845405391