LEADER 01235nam a2200325 i 4500 001 991001114929707536 005 20020507183533.0 008 950424s1979 de ||| | eng 020 $a3540097090 035 $ab10802976-39ule_inst 035 $aLE01307255$9ExL 040 $aDip.to Matematica$beng 082 0 $a616.99400184 084 $aAMS 92C50 100 1 $aEisen, Martin M.$057352 245 10$aMathematical models in cell biology and cancer chemotherapy /$cMartin Eisen 260 $aBerlin ; New York :$bSpringer-Verlag,$c1979 300 $aix, 431 p. :$bill. ;$c24 cm 490 0 $aLecture notes in biomathematics,$x0341-633X ;$v30 500 $aIncludes bibliographies and index 650 4$aCancer cells-mathematical models 650 4$aCancer - Chemotherapy 650 4$aCytology-mathematical models 650 4$aMedical applications of biology 907 $a.b10802976$b23-02-17$c28-06-02 912 $a991001114929707536 945 $aLE013 92C EIS11 (1979)$g1$i2013000027388$lle013$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i10907324$z28-06-02 996 $aMathematical models in cell biology and cancer chemotherapy$9925319 997 $aUNISALENTO 998 $ale013$b01-01-95$cm$da $e-$feng$gde $h0$i1 LEADER 03919nam 22006735 450 001 9910416135803321 005 20250609110056.0 010 $a981-15-6300-4 024 7 $a10.1007/978-981-15-6300-3 035 $a(CKB)4100000011372907 035 $a(MiAaPQ)EBC6276212 035 $a(DE-He213)978-981-15-6300-3 035 $a(MiAaPQ)EBC6275385 035 $a(EXLCZ)994100000011372907 100 $a20200803d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aBig Data Approach to Firm Level Innovation in Manufacturing $eIndustrial Economics /$fby Seyed Mehrshad Parvin Hosseini, Aydin Azizi 205 $a1st ed. 2020. 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (78 pages) $cillustrations 225 1 $aSpringerBriefs in Applied Sciences and Technology,$x2191-530X 311 08$a981-15-6299-7 327 $aChapter 1: Introduction to innovation activities -- Chapter 2: The role of SME?s in innovation activities -- Chapter 3: Overview of innovation activities in Southeast Asia -- Chapter 4: From Linear model to Chain Linked model of innovation in reaching firm characteristics that facilitate and lowering the cost of innovation -- Chapter 5: Predicting level of innovation -- Chapter 6: Factors affecting the decision to innovate and related policies . 330 $aThis book discusses utilizing Big Data and Machine Learning approaches in investigating five aspects of firm level innovation in manufacturing; (1) factors that determine the decision to innovate (2) the extent of innovation (3) characteristics of an innovating firm (4) types of innovation undertaken and (5) the factors that drive and enable different types of innovation. A conceptual model and a cost-benefit framework were developed to explain a firm?s decision to innovate. To empirically demonstrate these aspects, Big data and machine learning approaches were introduced in the form of a case study. The result of Big data analysis as an inferior method to analyse innovation data was also compared with the results of conventional statistical methods. The implications of the findings of the study for increasing the pace of innovation are also discussed. 410 0$aSpringerBriefs in Applied Sciences and Technology,$x2191-530X 606 $aEconomic history 606 $aIndustrial engineering 606 $aProduction engineering 606 $aBusiness 606 $aManagement science 606 $aEngineering design 606 $aEconomy-wide Country Studies$3https://scigraph.springernature.com/ontologies/product-market-codes/W45000 606 $aIndustrial and Production Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T22008 606 $aBusiness and Management, general$3https://scigraph.springernature.com/ontologies/product-market-codes/500000 606 $aEngineering Design$3https://scigraph.springernature.com/ontologies/product-market-codes/T17020 615 0$aEconomic history. 615 0$aIndustrial engineering. 615 0$aProduction engineering. 615 0$aBusiness. 615 0$aManagement science. 615 0$aEngineering design. 615 14$aEconomy-wide Country Studies. 615 24$aIndustrial and Production Engineering. 615 24$aBusiness and Management, general. 615 24$aEngineering Design. 676 $a810 700 $aParvin Hosseini$b Seyed Mehrshad$4aut$4http://id.loc.gov/vocabulary/relators/aut$0891357 702 $aAzizi$b Aydin$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910416135803321 996 $aBig Data Approach to Firm Level Innovation in Manufacturing$91990840 997 $aUNINA