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: Industrial Research Performance Management
    sub title: Key Performance Indicators in the ICT Industry
  name:
    name part: Samsonowa, Tatjana.
    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: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XII, 464 p. online resource.
  abstract: Managers are increasingly concerned with the typical methods available for organizational performance measurement and control. Research into performance measurement, within the field of innovation management, has been variously approached through frameworks for performance measurement in general (for example, the Balanced Scorecard by Norton and Kaplan), R&D performance management, and surveys on in-use Key Performance Indicators (KPIs). It is striking, however, that almost no research has focused explicitly on the performance measurement of research activities, or indeed tried to develop a systematic approach to setting KPIs for specific research goals. This work, in co-operation with ABB Research, Deutsche Telekom AG Laboratories, EMC2 Advanced Technology Solutions, IBM Research, Intel Research, Microsoft Research, Philips Research, and SAP Research, develops a systematic approach to performance measurement for industrial research organizations in innovation-driven companies. The following questions are addressed: (1) Which research goals do research departments have? (2) Which KPIs do they use to monitor the achievement of these goals? (3) Is there a systematic best-practice approach to selecting KPIs for performance goals? The outcome is a complete set of eleven performance clusters, such as the transfer of research results to the development or other organizational departments, and each cluster has its own set of KPIs. The eleven clusters are: Technology Transfer, Future Business Opportunities, Technical Achievements, Intellectual Property, Operational Excellence, Talent Pool, Image, Publications, Presence in Scientific Community, Collaboration with Academia, Collaboration with Partners and Customers. This work led to the creation of the Institute for Industrial Research Performance Management that provides ongoing research and insights for managers of industrial research organizations. y>.
  table of contents: Performance Management -- State-of-the-art in Performance Management -- Performance Management - Analysis Approach -- Survey Findings -- Towards a Systematic Performance Management Approach for Industrial Research in the ICT Industry.
  note: by Tatjana Samsonowa.
  subject:
    topic: Business
  subject:
    topic: Management science
  subject:
    topic: Management
  subject:
    topic: Organization
  subject:
    topic: Planning
  subject:
    topic: Industrial management
  subject:
    topic: Business and Management
  subject:
    topic: Innovation/Technology Management
  subject:
    topic: Organization
  subject:
    topic: Business and Management, general
  subject:
    topic: Management
  classification: HD28-70
  classification: 658.514
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Contributions to Management Science
  identifier: 9783790827620
  identifier: http://dx.doi.org/10.1007/978-3-7908-2762-0
  record info:
    record creation date: 111117
    record change date: 20151204174414.0
    record identifier: 978-3-7908-2762-0