000 03878nam a22004935i 4500
001 978-3-7908-2762-0
003 DE-He213
005 20140220083332.0
007 cr nn 008mamaa
008 111117s2012 gw | s |||| 0|eng d
020 _a9783790827620
_9978-3-7908-2762-0
024 7 _a10.1007/978-3-7908-2762-0
_2doi
050 4 _aHD28-70
072 7 _aKJMV6
_2bicssc
072 7 _aPDG
_2bicssc
072 7 _aBUS087000
_2bisacsh
082 0 4 _a658.514
_223
100 1 _aSamsonowa, Tatjana.
_eauthor.
245 1 0 _aIndustrial Research Performance Management
_h[electronic resource] :
_bKey Performance Indicators in the ICT Industry /
_cby Tatjana Samsonowa.
264 1 _aHeidelberg :
_bPhysica-Verlag HD :
_bImprint: Physica,
_c2012.
300 _aXII, 464 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aContributions to Management Science,
_x1431-1941
505 0 _aPerformance 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.
520 _aManagers 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>
650 0 _aEconomics.
650 0 _aIndustrial management.
650 0 _aBusiness planning.
650 1 4 _aEconomics/Management Science.
650 2 4 _aInnovation/Technology Management.
650 2 4 _aOrganization/Planning.
650 2 4 _aBusiness/Management Science, general.
650 2 4 _aManagement/Business for Professionals.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783790827613
830 0 _aContributions to Management Science,
_x1431-1941
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-7908-2762-0
912 _aZDB-2-SBE
999 _c103951
_d103951