Knowledge Sharing in Research Collaborations [electronic resource] : Understanding the Drivers and Barriers /
Niedergassel, Benjamin.author.
In the knowledge-driven economy, individuals and organizations need to look beyond their own boundaries to complement existing resources. Especially in research-intensive fields, effective and efficient knowledge sharing with collaboration partners has become the key to success. Based on a large-scale survey, Benjamin Niedergassel identifies several factors enhancing or inhibiting knowledge sharing in research collaborations. He uses these factors to derive practical implications for academia, industry and research policy.
Description based upon print version of record.
Foreword; Preface; Table of contents; Figures; Tables; Acronyms; 1 Introduction; 1.1 Research problem and relevance of the study; 1.2 Research questions and objective; 1.3 Outline of the study; 2 R&D, innovation and co-operation; 2.1 Definitions and characteristics of R&D and innovation; 2.1.1 Technology, R&D and innovation; 2.1.1.1 Technology; 2.1.1.2 Research and development; 2.1.1.3 Innovation; 2.1.2 Technology, R&D and innovation management; 2.1.3 Sources of innovation; 2.1.3.1 Internal value chain functions; 2.1.3.2 External value chain; 2.1.3.3 Competitors and related industries
2.1.3.4 Government/public authorities2.1.3.5 Universities, public and private laboratories; 2.2 Definitions and characteristics of collaborative R&D projects; 2.2.1 Collaborative R&D; 2.2.2 Levels of collaborative R&D and parties involved; 2.2.3 Organizational forms of collaborative partnerships; 2.2.4 Project-based collaboration; 2.2.5 Motives of collaborative R&D projects; 2.3 Collaborative R&D in the chemical and biological sciences; 2.3.1 General trends in collaborative R&D in chemistry and biology; 2.3.2 University-industry collaboration in chemistry and biology; 3 Knowledge
3.1 Definitions and characteristics of knowledge3.1.1 Delineation of knowledge from information and data; 3.1.2 The DIKW hierarchy; 3.1.3 Knowledge dimensions; 3.1.3.1 Tacit and explicit knowledge; 3.1.3.2 Personal and social knowledge; 3.2 Creation and sharing of knowledge; 3.2.1 Organizational knowledge creation; 3.2.1.1 Modes of knowledge conversion; 3.2.1.2 The spiral of organizational knowledge creation; 3.2.1.3 Enabling conditions for knowledge creation; 3.2.2 Knowledge sharing; 3.2.2.1 Delineation of knowledge sharing from technology transfer
3.2.2.2 Basic principles of knowledge sharing3.3 Characteristics of knowledge in chemistry and biology; 3.3.1 Positioning chemistry and biology in the system of sciences; 3.3.2 Scientific methodology; 3.3.3 Tacit and explicit knowledge in chemistry and biology; 4 Conceptual framework and hypotheses; 4.1 Theoretical considerations of knowledge sharing in co-operation projects; 4.2 Empirical research on knowledge sharing in co-operation projects; 4.3 Meta-analysis of factors affecting knowledge sharing; 4.4 Development of hypotheses; 4.4.1 Object to share: Knowledge characteristics
4.4.1.1 Knowledge tacitness4.4.1.2 Knowledge newness; 4.4.2 Sharing context: Physical proximity; 4.4.3 Process of sharing: Frequency of communication; 4.4.4 Source and recipient: Relationship characteristics; 4.4.4.1 Trust between partners; 4.4.4.2 Pre-existing relationships between partners; 4.4.4.3 Interdependency of partners; 4.4.4.4 Redundancy in the partners' knowledge bases; 4.4.4.5 Tie strength: Closeness of partners; 4.5 Synopsis of hypotheses; 5 Analysis and results; 5.1 Sample and data collection; 5.1.1 Information on the survey; 5.1.2 Information on the sample; 5.2 Measures
5.2.1 Scales and measurement models
Dissertation Westfälische Wilhelms-Universität Münster, 2009.
Includes bibliographical references.
In the knowledge-driven economy, individuals and organizations need to look beyond their own boundaries to complement existing resources. Especially in research-intensive fields, effective and efficient knowledge sharing with collaboration partners has become the key to success. Based on a large-scale survey, Benjamin Niedergassel identifies several factors enhancing or inhibiting knowledge sharing in research collaborations. He uses these factors to derive practical implications for academia, industry and research policy.
Management.
Industrial management.
Innovation/Technology Management.
Management.