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:
    non sort: The
    title: Value of Information Updating in New Product Development
  name:
    name part: Artmann, Christian.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2009
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XVIII, 208 p. 41 illus. online resource.
  abstract: Managing uncertainty in new product development projects for improved valuation and decision making is one of the most complex and challenging problems in operations management. It is important for any corporation depending on the success of new products and innovations. This work shows how uncertainty can be handled and partly resolved by conducting an information update during the development process. It is one of the first comprehensive models that combine statistical decision theory in form of Bayesian analysis with a real options framework for projects exposed to different sources of uncertainty. The proposed framework makes an important theoretical contribution in addressing this problem, while at the same time being of significant value to managers who face the difficult task of evaluating and managing complex product development projects.
  table of contents: Literature Review -- Model Description -- Model Properties -- Numerical Study -- Conclusion -- Statistical Distributions -- Supplement to Performance Variability Limitation -- Supplement to Mean-Variance Update -- Program Listing.
  note: by Christian Artmann.
  subject:
    topic: Mathematics
  subject:
    topic: Management
  subject:
    topic: Industrial management
  subject:
    topic: Operations research
  subject:
    topic: Decision making
  subject:
    topic: Finance
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Economics, Mathematical
  subject:
    topic: Probabilities
  subject:
    topic: Mathematics
  subject:
    topic: Applications of Mathematics
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Finance, general
  subject:
    topic: Innovation/Technology Management
  subject:
    topic: Operation Research/Decision Theory
  subject:
    topic: Quantitative Finance
  classification: T57-57.97
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Economics and Mathematical Systems, 620
  identifier: 9783540938330
  identifier: http://dx.doi.org/10.1007/978-3-540-93833-0
  record info:
    record creation date: 100301
    record change date: 20151204141414.0
    record identifier: 978-3-540-93833-0