rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Strategy and Performance of Knowledge Flow
    sub title: University-Industry Collaborative Innovation in China
  name:
    name part: Yu, Yu.
    role:
      role term: creator
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Chen, Yao.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: Shi, Qinfen.
    role:
      role term: author.
    role:
      role term: aut
    role:
      role term: http://id.loc.gov/vocabulary/relators/aut
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 172 p. 33 illus., 19 illus. in color. online resource.
  abstract: This book constructs a model of the knowledge value chain in the university and analyzes the university knowledge value-added mechanism in the process of Industry-University Collaborative Innovation. The efficiency of university knowledge value-added of Provinces in China is measured. The book illustrates the operating mechanism between enterprise subsystems and college subsystems in the collaborative innovation system, and establishes a Data Envelopment Analysis (DEA) model with parallel decision making units to assess the performance of Industry-University Collaboration Innovation in China by considering the complex internal structure of the collaborative innovation system. The book also addresses various behaviors of knowledge agents in the knowledge sharing process. The research findings of this book will provide some policy implications to help policy makers to establish a more effective collaborative and interactive innovation system. The focus on China offers a unique contribution, because the form that university-industry collaborations take differs widely from country to country. The United States, the United Kingdom, Japan, and China differ vastly in the way that they implement their respective R&D policies. Some of these differences stem from national culture, others from the historical evolution of the institutions that support innovation efforts, and some from the extent of available resources. .
  table of contents: Chapter 1: Introduction -- Chapter 2: Measuring the Performance of Knowledge Value-Added in University-Industry Collaborative Innovation -- Chapter 3: Efficiency Evaluation of Knowledge Flow in University-Industry Collaborative Innovation in China -- Chapter 4: Big Five Personality Traits and Knowledge Flow in University-Industry Collaborative Innovation -- Chapter 5: Personality, Team Goals, Motivation, and Tacit Knowledge Sharing Performance within a University Research Team -- Chapter 6: Colored Petri Net Model of Knowledge Flow Based on Knowledge Life Cycle -- Chapter 7: Evolutionary Game Model of Knowledge Transfer in University-Industry Collaborative Innovation -- Chapter 8: Cellular Automaton and Tacit Knowledge Sharing -- Chapter 9: Small World Network and Knowledge Sharing -- Chapter 10: Differential Game Model of Knowledge Flow in University-Industry Collaborative Innovation -- Chapter 11: Conclusion and Further Research.
  note: by Yu Yu, Yao Chen, Qinfen Shi.
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Knowledge management
  subject:
    topic: Operations Research/Decision Theory
  subject:
    topic: Knowledge Management
  classification: HD30.23
  classification: 658.40301
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: International Series in Operations Research & Management Science, 271
  identifier: 9783319779263
  identifier: https://doi.org/10.1007/978-3-319-77926-3
  record info:
    record creation date: 180424
    record change date: 20191027142659.0
    record identifier: 978-3-319-77926-3