LEADER 02006nas 2200565-a 450 001 996211994403316 005 20240413024354.0 035 $a(CKB)111021046613340 035 $a(CONSER)--2004202373 035 $a(EXLCZ)99111021046613340 100 $a20011220a20009999 --- - 101 0 $aeng 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aAfrica monitor$iSouthern Africa 210 $aLondon $cBusiness Monitor International$d2000- 215 $a1 online resource 300 $aTitle from caption. 311 08$aPrint version: Africa monitor. 1472-1805 (DLC) 2004202373 (OCoLC)48653367 531 $aAFRICA MONITOR. SOUTHERN AFRICA 531 $aAFRICA MONITOR 606 $aEconomic forecasting$zAfrica, Southern$vPeriodicals 606 $aEconomic forecasting$2fast$3(OCoLC)fst00901942 606 $aEconomic history$2fast$3(OCoLC)fst00901974 606 $aPolitics and government$2fast$3(OCoLC)fst01919741 606 $aEnquêtes économiques$zAfrique australe$vPériodiques 606 $aPrévision économique$zAfrique australe$vPériodiques 607 $aAfrica, Southern$xEconomic conditions$vPeriodicals 607 $aAfrica, Southern$xPolitics and government$vPeriodicals 607 $aSouthern Africa$2fast 607 $aAfrique australe$xPolitique et gouvernement$vPériodiques 607 $aAfrique australe$xConditions économiques$vPériodiques 608 $aPeriodicals.$2fast 608 $aPeriodicals.$2lcgft 610 $aBusiness 610 $aEconomy 615 0$aEconomic forecasting 615 7$aEconomic forecasting. 615 7$aEconomic history. 615 7$aPolitics and government 615 6$aEnquêtes économiques 615 6$aPrévision économique 676 $a330.968005 712 02$aBusiness Monitor International. 906 $aJOURNAL 912 $a996211994403316 920 $aexl_impl conversion 996 $aAfrica monitor$91320228 997 $aUNISA LEADER 02348oam 2200505I 450 001 9910155126903321 005 20240505170331.0 010 $a1-315-70744-6 010 $a1-317-47987-4 024 7 $a10.4324/9781315707440 035 $a(CKB)4340000000023871 035 $a(MiAaPQ)EBC4767097 035 $a(OCoLC)965826792 035 $a(EXLCZ)994340000000023871 100 $a20180706d2017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aScientists' impact on decision-making $ea case study of the China hi-tech research and development program /$fPeng Ru 205 $a1st ed. 210 1$aLondon ;$aNew York :$cRoutledge,$d2017. 215 $a1 online resource (253 pages) $cillustrations 225 0 $aChina perspectives series 311 08$a1-138-90016-8 320 $aIncludes bibliographical references and index. 327 $a1. Introduction -- 2. Literature review -- 3. KIV framework for analyzing scientists' decision-making influence -- 4. Mechanism and participants of the decision-making of the 863 Program -- 5. Empirical testing of KIV framework : Based on 863 Program cases -- 6. Theoretical analysis of KIV framework : causes for changing influence and optimization of decision-making -- 7. Conclusion. 330 $aThis book discusses China's S&T (science and technology) decision-making mechanism, with the National High Technology Research and Development Program (863 Program) as the central case and scientists' influence on public decision-making as the focus. More importantly, for the first time, it extracts three key elements to analyze the determinative factors behind scientists' influence -- knowledge, value and institutions, and proposed a KIV framework of macro-analysis. 606 $aScience and state$zChina 606 $aTechnology and state$zChina 606 $aDecision making$zChina 615 0$aScience and state 615 0$aTechnology and state 615 0$aDecision making 676 $a303.48/30951 676 $a303.4830951 700 $aRu$b Peng$0947614 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910155126903321 996 $aScientists' impact on decision-making$92141070 997 $aUNINA